Future Ventures: Scaling with Clarity
Future Ventures: Clarity at Scale is the podcast for founders, operators, and investors who are building companies worth owning for the long term — and who need to think clearly about capital, structure, strategy, and growth to get there.
Each episode cuts through the noise around scaling: how to structure a deal, how to position a business for institutional capital, how to build operational leverage without losing control, and how to make the high-stakes decisions that compound in value long after the moment has passed.
Hosted by Maxim Atanassov — a four-time founder and the Managing Partner of Future Ventures Corp. Since 2018, FVC has invested in, incubated, and scaled companies across sectors — with a focus on platform opportunities that compound in value. Maxim's background spans executive leadership inside Canada's largest energy companies and senior advisory at Deloitte and EY. He's a CPA-CA who has sat at the table where capital gets deployed, governance gets built, and hard decisions get made. Now he helps founders get there faster.
New episodes every week. Subscribe wherever you listen.
Future Ventures: Scaling with Clarity
Mark Francis — Scaling Beyond the Founder: How to Build a Team You Can Trust | FV Podcast Ep. 69
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Mark Francis has spent nearly two decades working at the intersection of executive search, entrepreneurship, fintech, and HR technology across Asia-Pacific. As CEO of Preferrd, he is now applying that experience to a fundamental problem for scaling companies: how to find the right people, assess them well, and build teams that can grow without losing the trust, judgment, and culture that made the company work in the first place.
This conversation goes well beyond recruitment. Mark and Maxim explore what happens as a founder-led business moves from its first tightly aligned group of employees into larger, distributed teams; why early-stage companies need a different kind of leader; and how founders can surround themselves with people who will challenge their thinking rather than execute instructions. They also discuss the role of AI in recruitment, equity as an alignment mechanism, choosing co-founders, building relationships before you need them, and finding a sustainable rhythm between entrepreneurship and family.
5 Key Topics Covered
- Scaling culture beyond the founding team — Mark explains why culture becomes harder to preserve as companies expand across teams, offices, and geographies, and why onboarding and open communication become increasingly important.
- What predicts a strong early-stage hire — The discussion examines why founders should assess candidates across multiple interactions, involve the leadership team, and look beyond technical competence to adaptability, judgment, and the ability to challenge assumptions.
- Combining AI with human judgment in recruitment — Mark breaks down the thinking behind Preferrd and how AI agents can automate repeatable parts of recruiting while human networks, referrals, and judgment remain essential.
- Creating ownership through equity and transparency — Mark shares how Preferrd uses meaningful employee equity, open conversations about the state of the business, and genuine participation in decision-making to align entrepreneurial team members.
- Building the right founder and leadership team — From identifying missing capabilities in a founding team to hiring people with prior startup experience, Mark discusses why scaling requires leaders whose skills complement rather than duplicate the founder’s.
3 Key Insights
- A scalable culture has to become intentional. The closeness that naturally exists among the first few employees becomes harder to maintain as the company grows, so founders need systems for communication, onboarding, alignment, and giving people a real voice.
- The best startup hires are rarely people who follow the founder well. Strong early-stage leaders are comfortable with ambiguity, can operate across functions, understand entrepreneurial risk, and are willing to challenge the founder when they see something differently.
- Ownership is created through more than compensation. Equity can strengthen alignment, but founders also build commitment by being transparent about performance and fundraising, listening seriously to ideas, and giving capable people genuine agency in the business.
Links
- Mark Francis on LinkedIn: https://hk.linkedin.com/in/mark-francis-80337a8
- Preferrd: https://www.preferrd.io/
- Future Ventures Corp: https://ca.linkedin.com/company/future-ventures-corp
- Subscribe to the Future Ventures YouTube channel: https://www.youtube.com/channel/UCZgPPHfPBZz-r5NQLq_dWfA/
This episode has been brought to you by the Capital Intelligence Platform: https://capital.futureventures.ca/
About the Guest
Mark Francis is an entrepreneur and recruitment executive with nearly two decades of experience spanning executive search, fintech, and HR technology across Asia-Pacific. He is CEO of Preferrd, where he is building an AI-enabled recruitment platform designed to combine automation with human referrals and trusted relationships. His experience as both a recruiter and founder gives him a practical perspective on hiring, team construction, culture, and the people decisions that shape a company’s ability to scale.
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Today on Scaling with Clarity,
I'm joined by Mark Francis,
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founder and CEO and entrepreneur with
nearly two decades of experience across
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executive search,
fintech and HR technology in Asia
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Pacific.
Mark, he's the cofounder and CEO of
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Preferrd,
an HR platform combining AI with peer
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referrals and verified human trust.
And he has built and exited businesses
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across recruitment and technology. Today,
we're tackling one of the hardest
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challenges in scaling a company:
how founders build a team that can grow,
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How founders build a team that can grow
beyond them without losing judgment,
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culture, or trust along the way.
Mark, welcome to the stage.
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Hey, thanks for having me, Maxim.
Looking forward to sharing a little bit
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more about my story.
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I am looking forward to the conversation.
You are probably the first founder
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we've had that's focused exclusively on
the HR
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space.
And as we all know greatness is in the
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agency of artists and people are what
make businesses successful is that the
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execution. So why don't we start with
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You've built companies,
you've exited companies,
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you've recruited executives.
Now you're building technology around HR.
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When you're looking at scaling companies,
where do founders most often get hiring
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wrong?
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Hmm, interesting question.
And obviously we're diving into it.
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So I would say, look,
my background has been on and off involved in
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the recruiting space for about 19 years.
You know,
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that experience is primarily Asia Pacific
focus.
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But in that time I've been looking at,
you know,
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everything from C-Suite level hiring,
you know,
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across hedge funds and banks into even,
you know,
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graduate-level hiring as well for
various organizations. So, you know,
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I've seen the whole gamut.
And then in the last sort of eight years,
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I've been more involved in startups, both,
you know, sort of bootstrapped
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as well as VC backed,
whether that's my own startups or working
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with other organizations. So yeah,
I bring a few different perspectives.
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There's the recruitment consultant hat,
the headhunter hat on, and then there's,
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of course, the founder operator hat,
which I've been wearing for the last 8
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years. I think, look,
one of the big things that has changed
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when teams start to expand is holding on
to that magical culture that a lot of
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early stage startups tend to exhibit,
right?
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And you've probably been there yourself
and you've certainly spoken to other
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founders
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and you've got that core nucleus of
individuals, right? That first six, seven, eight people,
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they all buy into the vision.
Many of them maybe have equity in the
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business from from day zero.
You can create that Esprit de corps quite
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easily.
And and everyone is quite aligned with
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what is the vision of the business and
where we're trying to work towards the
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issues are.
Once you start to get beyond sort of 20
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headcount is typically the number when
you start to see that fracturing.
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And certainly once you get beyond 100,
it becomes
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quite hard to maintain that because by
that point,
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you most likely are going to have people
also based overseas, You know,
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you could have multiple offices as well
as various countries.
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And so how do you keep this culture
together with organizations as you sort
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of scale beyond that core? And I,
I see this as a pattern that repeats
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itself with a lot of companies.
And in particular, since COVID, you know,
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since remote working has become a lot
more accepted, it's become even harder,
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I would say,
to maintain that interconnectivity
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when you don't physically see people in
an office the same way, right?
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What do you do when you've got maybe four
or five people that are working on their
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own? You know,
maybe they're employed by an employer of
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record company and they're just sitting
on their own, you know,
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working from home in a spare office,
in a spare room.
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So how do you keep that kind of culture
in place?
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So I think that's probably one of the
major concerns that I've encountered.
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You know,
I'd say that there's not one hard and
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fast rule that works because again,
every business is different.
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Each industry is different.
The whether your VC backed or not has an
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impact on how much capital you
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to spend, right? Yeah,
that's all part of it.
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But I think that there are obviously ways
that you can be more interconnected than
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ever now, you know,
using things like Slack,
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communicating on Slack internally.
Certainly that's something that I've used
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with my teams.
And over the last sort of six years we've,
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you know,
we kind of got into remote working early.
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So I mentioned that my background was
primarily in the recruitment space.
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I also built a fintech company.
I set up a fintech business 8 years ago,
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which is basically an SME lender.
And so that business was that that
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business scaled rapidly
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because we set up just before COVID.
And you know, I think at that time,
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we had three people.
And as you can imagine,
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when COVID first hit, you know,
at this point,
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we were lending pretty much just in Hong
Kong as we were providing loans ranging
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from sort of 1 to 300,000 US to SMEs,
mainly in Hong Kong.
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And we basically expanded into Singapore
towards the end of 2019.
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And then I think in 2020,
we just opened up in Malaysia and we were
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planning to open up in the Philippines.
And then when COVID hit,
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we got inundated with demand, right?
We were seeing, you know,
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tens of millions of dollars per quarter in
in deal flow origination,
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which is a lot when you're lending at 1
to 300,000 US per company.
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So we started to see the book massively
expand. We had to hire really quickly.
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And so I think we got the team up to that
sort of 20 number or so. You know,
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we grew quite rapidly.
And then we also had people across,
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you know, four different jurisdictions.
So it was like Hong Kong, Singapore,
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Malaysia, Indonesia, even the Philippines,
the five jurisdictions that we had.
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And yeah,
we started to see the impact then of,
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of what was going on, that
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it was harder to keep that culture going
on with all these individuals.
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So I would say that Slack was not as
prevalent, you know,
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six, seven, eight years ago as it is now.
I think the vast majority of startups I
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come across and small SMEs actually do
use Slack for internal communication.
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And it's become a very useful tool.
And of course, now with AI agents,
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you can also have it to be far more
interactive as well than just to kind of
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reactive.
So I would say that that's the key thing.
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Obviously having other, you know,
Kanban based tools where you can
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obviously monitor
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workflows internally,
that helps to keep people aligned.
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You know,
we did things like a daily check in at
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9:00 AM just to make sure that everybody
was logging in from the various locations.
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Again, fairly common to do that.
Not all organizations will do that,
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but it just helps everybody to be aligned
on what you're doing.
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And then of course also having a good
onboarding is important so that everybody
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that comes into the company understands,
OK, what is this business about?
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What is the mission statement?
Where are they at now?
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Where are they looking to get to in the
next one to three years,
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maybe five years seems a little bit
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irrelevant, I would say.
Are they all onboarded? Are they aligned?
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And they're making it clear that people
can ask questions and they can voice
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their opinions.
I think one of the biggest issues is with
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new joiners sometimes is that
particularly in Asia Pacific,
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where culturally it's less commonplace to
question authority.
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I think in parts of North America and
even in Europe,
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it's a little bit more commonplace to
question your authority figures. You know,
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you can raise questions in a manager
meeting or what have you.
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But in Asia Pacific, culturally,
people can be a little more reserved.
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They may not wish to to embarrass perhaps
somebody else.
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It's about getting that out there really
early with this team that everyone's
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ideas are valuable and we want to hear
them. And I think that's also really,
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really important.
And then people will then feel that
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they've got agency and they can actually
share their ideas and, you know,
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make it clear that there's no kind of
wrong questions. Try not to to to do,
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you know,
to mean people publicly and just let them
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feel like there's an expression there and
they can kind of grow in confidence.
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And I would say those are some of the
things that I've seen that can help.
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Obviously looking at it for more of a
startup perspective.
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From a startup perspective, you talk,
I mean,
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you talked a fair bit about culture and
culture building, um,
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and the challenges and kind of like the,
the, the,
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the skilling and challenges that they've
come to 2200. What what do you think
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is the culture?
What do you think people were founders
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get wrong about building culture?
Like if and if you can juxtapose like a
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successful culture or if if you know a
founder of yourself,
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like like building the right culture for
an organization that's killing versus one
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that's not.
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Yeah. Look,
I'm going to give an example of a fintech
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company that I know the founders of.
And I think they've done a phenomenal job
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here in APAC and they just expanded into
the US It's called Aspire.
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They are a fintech business in essence.
They help startups to open bank accounts
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a lot faster.
They help them with their payroll.
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They help them with a variety of other
tools that are all geared up towards
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startups.
So Aspire is a VC YC backed company.
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I think there were YC batch 2018 or 2019
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the headquartered in Singapore.
And So what they have been doing over the
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last few years is, you know,
they've obviously received a lot of
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funding.
I think they raised a few $100 million in
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funding now and they've been scaling into
from Singapore into Hong Kong into the US
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and into other markets in Apine.
So they're,
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they're trying to compete for in essence
SME and startups as their customers.
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Now that's quite difficult because you
have to get in front of them, right?
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And you know, this is there's,
there's thousands of these companies.
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It's not like you target one large
enterprise and you're going to get a
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multi $1,000,000 account. You need to
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aggregate this over many of them.
So they had to expand quite rapidly.
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And what they did is they had a very good
marketing strategy.
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They would basically invest in a lot of
merge,
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but not the traditional merch like a
hoodie,
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things that were that made sense
culturally to individuals in Asia.
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So for example, in Hong Kong,
we have some called the Mid Autumn
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Festival in October.
It happens every year and it's very
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traditional to give moon cakes to friends
and family as a show of respect. So they,
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they did something like that,
but they had like Aspire
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branded mooncakes.
They were sweet rather than the
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traditional flavors.
So they appealed to a much wider palette.
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They did things like that.
And so that that's going outwards leads
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to their customers,
but also for their staff internally,
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they create this very fun environment.
The idea is that, you know,
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we're going to give our customers the
best experience.
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We want to find something that's unique
and memorable. And we want you to,
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to represent the company in the same way.
And then they, they enable their,
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the individuals in the organization to
really feel that.
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And they've had quite high staff
retention rates because people come into
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the organization,
they have a very good onboarding,
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they get trained well and they get to see
a company that actually really cares
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about its customers,
puts money towards doing that. You know,
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they do invest a lot in their marketing
and they host quite unique experiences.
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They do like a founders night once a year
in Hong Kong and Singapore when they
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bring together, you know,
100 and 5200 different SME business
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owners that are using their product.
And they basically say, look,
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we're thanking you guys for using us.
We want to highlight you as our champions.
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And there's a lot of fun. You know,
they also recently gave out a lot of
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pickleball kits.
They would send pickleball kits out to
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all these organisations. But it's quite,
a, quite a faddy thing.
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But it makes sense.
People are enjoying that.
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They're engaged with it.
And so for the staff,
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they see that this is going on outwardly.
They are encouraged to engage with these
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customers and be friendly and be fun and
be engaging.
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And they're doing events pretty much
every week,
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as far as I can see in Hong Kong,
and they're doing the same in Singapore
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and even now in San Francisco.
So I would say that that's been one
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example. And yeah, they've done that
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investing in outward marketing spend,
definitely,
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but then also by encouraging the staff to
really kind of get into that same mindset.
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I think that's a a good example.
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Appreciate it,
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Mark.
You've been in the recruitment space for
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a long time.
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What actually predicts a great hire?
How do you know if somebody is is going
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to fit within the role?
How do you go about interviewing to put
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them through a case that you put them
through like questionnaire or assessment
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like
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or or is it like is the best hire coming
from referrals?
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Like kind of help me if you were hearing
for, I don't know,
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Chief operating officer for before,
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what would you do?
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Got it.
So I think also maybe for the people that
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are listening,
I might try and give a little bit of
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context in terms of my background,
because then it makes a little bit of
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sense. So, so myself,
I was born in Hong Kong. I grew up here.
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I spent my life living between Hong Kong
and Malaysia. That was from the UK,
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which is why I sound British.
But my first job out of uni was in China
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and I went and lived in Shanghai to learn
Mandarin.
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So I've kind of been in Asia most of my
career,
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but I had this sort of international
flavor.
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So I got into the head hunting world 19
years ago.
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So back then I was placing derivatives traders
into banks, right?
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Moving people between banks that don't
even exist now. Bear Stearns
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and Lehman Brothers, you know,
ABN AMRO in Asia,
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they don't even have trading desks
anymore.
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And so that was what I did for the 1st 5
1/2 years of my career.
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And then I became an entrepreneur 14
years ago and I set up a head hunting
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company to place, in essence, traders into
the buy side because I could see that
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hedge funds and prop trading firms were
on an ascendancy and a lot of talent was
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moving from banks into the buy side where
there was higher comp, but also higher
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risk.
And so then I started to move people more
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into hedge funds and prop trading firms.
And actually they have a much higher bar
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even than banks when it comes to the
interview processes.
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They do interviews,
they do psychometric assessments,
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they might do case studies,
they might even bring in individuals and
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do like a six, eight hour in person,
very intensive session.
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So I got to see all of that going on from
these organizations. And so when,
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as I mentioned,
I sort of my career took a little bit of
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a pivot in my early 30s when I saw there
was a gap in the market in Asia to
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provide loans to recruitment companies
themselves.
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So I knew I wanted to grow contractor
books. And so in my early 30s,
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I raised equity and debt capital with a
couple of other cofounders and we
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launched this business called
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00:13:52,510 --> 00:13:54,772
Zetl.com
to provide loans to SMEs in Asia.
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00:13:54,772 --> 00:13:58,657
So we sat in Hong Kong and as I mentioned
earlier, we expanded into Singapore,
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Malaysia and the Philippines and went on
a whole journey there, grew our team.
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Then we've got into AI automation quite
early, the team started to shrink again.
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And then we got that business into,
you know,
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00:14:08,787 --> 00:14:12,623
profitability about a year and a half ago.
And so then a year and a half ago,
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I was able to have a little bit of time
and space to look at what I wanted to do
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next.
And given most of my experiences in the
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recruitment world,
that's where I put my attention to.
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And so Preferrd was created
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to provide in essence,
what we're looking to do is replicate
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what a good recruitment consultant does,
but by the use of AI agents.
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So agents are good at certain tasks that
are repetitive.
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They can't quite yet do the whole nuance
of of a role.
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So what we did is we thought, OK,
what is a good recruitment consultant do?
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They will speak to the employer in
shortlist and screen candidates,
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they will schedule interviews,
they will conduct interviews with
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candidates,
They will look for referrals from their
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network.
And so we created AI agents to address
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these different user
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00:14:53,740 --> 00:14:56,941
personas and replicate them.
And so with Preferrd, the idea was to have
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00:14:56,941 --> 00:15:00,580
this sort of agentic recruitment firm
where we have human referrals on the
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platform.
So we're using AI with humans in tandem.
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00:15:03,054 --> 00:15:05,626
So when it comes to the hiring for our
own business,
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one of the lessons I've learned certainly
in in the years, you know,
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from the experience that I've had is that
when your business is still in that early
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zero to 1, zero to two stage,
which is what I would say Preferrd is
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still quite early.
We set up 15 months ago,
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but we've already got the team of 10.
So we've,
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we've grown quite quickly and we're
looking to sort of double that
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00:15:24,200 --> 00:15:28,275
by the beginning of next year.
And so one of the things I've learned is
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00:15:28,275 --> 00:15:32,859
that actually you do need to spend time
getting to know individuals when it's an
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00:15:32,859 --> 00:15:35,915
early stage.
So if I was hiring for a chief of staff,
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00:15:35,915 --> 00:15:39,311
and I'll be honest,
I've actually done this recently with a
279
00:15:39,311 --> 00:15:43,160
couple of hires I've had,
there was a growth lead and I'm doing the
280
00:15:43,160 --> 00:15:47,858
same now for a chief commercial officer.
So what I do is I meet with them multiple
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times myself.
So that could be a phone call,
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a video conference, a coffee,
maybe a glass of wine.
283
00:15:53,404 --> 00:15:54,480
I try and meet them
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00:15:54,550 --> 00:15:57,898
multiple times over different settings to
make sure that we vibe well,
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00:15:57,898 --> 00:16:00,774
make sure that I've obviously believe in
their capabilities.
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00:16:00,774 --> 00:16:04,311
But what I think is really important is
the last thing I want is a company
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made-up of of sycophants.
I don't want people that are going to
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00:16:07,329 --> 00:16:10,394
only support my ideas.
I want people that are going to challenge
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00:16:10,394 --> 00:16:14,072
my ideas and feel confident and able to
do that because they know that I will
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00:16:14,072 --> 00:16:16,194
work with them to try and find a
compromise.
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00:16:16,194 --> 00:16:19,637
It's not about being dismissive.
It's not about only taking their ideas.
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00:16:19,637 --> 00:16:22,325
It's about trying to use that to cover
your blind spots.
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00:16:22,325 --> 00:16:24,729
And I think sometimes founders have this
idea that
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they have to be seen as the leader,
they have to drive the direction of the
295
00:16:28,235 --> 00:16:30,354
company.
And while to some extent that is true,
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00:16:30,354 --> 00:16:33,798
you should probably have the veto.
And yes, the, the buck does stop with you.
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00:16:33,798 --> 00:16:37,463
If you're going to build an organization,
you want to have people that are engaged
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and motivated.
You have to give them agency.
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00:16:39,450 --> 00:16:42,673
You have to make them really believe that
they are important part of the
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00:16:42,673 --> 00:16:46,072
organization. Their ideas are heard.
And also then the ideas are going to be
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00:16:46,072 --> 00:16:48,413
implemented,
whether it's directed the idea they had
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00:16:48,413 --> 00:16:51,768
or after some edits have been made to it.
So that's a big part of it. So I,
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00:16:51,768 --> 00:16:55,080
whenever I sit down with people, I,
you know, I say to them, look, I don't
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00:16:55,210 --> 00:16:58,994
not necessarily agree on everything,
but as long as we are able to communicate
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00:16:58,994 --> 00:17:01,294
in such a way that we can find that
compromise,
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00:17:01,294 --> 00:17:04,120
then I feel confident that we'll be able
to work together.
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00:17:04,120 --> 00:17:06,324
So I will interview with them multiple
times.
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00:17:06,324 --> 00:17:09,965
I will then have the rest of my core team,
which is probably 5 or 6 people.
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00:17:09,965 --> 00:17:13,941
I would say that that's sort of the core
senior leadership team experience people,
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00:17:13,941 --> 00:17:16,480
many of them have already been
entrepreneurs before.
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00:17:16,480 --> 00:17:20,360
I would get them to also interview with
all of those individuals and collaborate
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00:17:20,360 --> 00:17:22,995
that feedback.
One of the things I definitely look for
313
00:17:22,995 --> 00:17:25,870
when I hire is people that have been
entrepreneurs already.
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00:17:26,140 --> 00:17:30,183
You can see it if you go on LinkedIn and
look at the people working in Preferrd.
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00:17:30,183 --> 00:17:33,240
Pretty much all, all,
or maybe at least 80% of them have been
316
00:17:33,240 --> 00:17:36,692
involved in startups before,
which meant that they either founded the
317
00:17:36,692 --> 00:17:40,242
businesses themselves as a cofounder,
or they have worked with in those
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00:17:40,242 --> 00:17:44,088
businesses before and they understand the
challenges that come with startups,
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00:17:44,088 --> 00:17:47,145
the fun, the excitement,
how you have to wear multiple hats.
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00:17:47,145 --> 00:17:51,090
I think that would be very important.
So I'm not going to pick a chief of staff
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00:17:51,090 --> 00:17:55,084
that's coming straight from a bank where
they maybe just had to work in one silo
322
00:17:55,084 --> 00:17:56,810
and work their way up in seniority.
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00:17:56,890 --> 00:18:00,425
It's going to be somebody that's a bit
more scrappy, that can wear multiple hats,
324
00:18:00,425 --> 00:18:04,046
that understands the upside potential and
also without a doubt that very real risks
325
00:18:04,046 --> 00:18:04,650
for the startup.
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00:18:05,390 --> 00:18:05,990
So
327
00:18:06,980 --> 00:18:09,433
I mean that,
that that's a great advice if you're
328
00:18:09,433 --> 00:18:10,710
bringing in entrepreneurs,
329
00:18:11,870 --> 00:18:15,370
Couple of questions there. Um, one,
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do you ever fear that, Um,
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00:18:23,580 --> 00:18:27,590
the, there, the,
the current stint with your company?
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00:18:28,850 --> 00:18:31,465
I mean, obviously if,
if it's an entrepreneur,
333
00:18:31,465 --> 00:18:35,972
they always have the entrepreneurial bug.
They always want to grow and scale it
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00:18:35,972 --> 00:18:40,423
just it like it's something that's just
innate. So one in the blood. Yeah. One,
335
00:18:40,423 --> 00:18:42,872
I mean,
this is like a bit of the ambition.
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00:18:42,872 --> 00:18:46,989
How do you make sure that these are,
these are people that would be fully
337
00:18:46,989 --> 00:18:49,827
aligned with you?
And then on the alignment sense,
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00:18:49,827 --> 00:18:53,500
how do you incentivize them?
Like what is your mechanism to to to
339
00:18:53,500 --> 00:18:56,838
ensure that you have,
if you have somebody that's so driven
340
00:18:56,838 --> 00:18:59,120
entrepreneur, founder or previously found
341
00:18:59,270 --> 00:19:01,851
like,
and now he is part of an organization
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00:19:01,851 --> 00:19:05,079
they haven't found,
how do you make sure you have this
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00:19:05,079 --> 00:19:08,600
element of interest that's long term
orientation in nature?
344
00:19:09,550 --> 00:19:13,026
Good questions. Yeah,
so I would say there's a few ways that
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00:19:13,026 --> 00:19:17,357
I've certainly looked to do that and I do
definitely value it highly having
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00:19:17,357 --> 00:19:21,745
entrepreneurs in the business because,
yeah, you're right, there's the risk,
347
00:19:21,745 --> 00:19:25,734
right? What if somebody leaves?
What if they just decide that they're
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00:19:25,734 --> 00:19:28,755
going to go and do their own business at
some point?
349
00:19:28,755 --> 00:19:33,314
So I'd say that that is certainly a risk.
Now how do I try and mitigate that as
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00:19:33,314 --> 00:19:37,360
much as possible? So first things,
I have a very generous ESOP here at
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00:19:37,360 --> 00:19:39,640
Preferrd. So we signed something called
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00:19:39,730 --> 00:19:43,996
the equity pledge. The equity pledge is a,
a global initiative to, for startups.
353
00:19:43,996 --> 00:19:48,263
So to say that they're going to have a 10
to 20% allocation of shares to an ESOP
354
00:19:48,263 --> 00:19:51,319
plan. So you know,
startups typically 10% is around about
355
00:19:51,319 --> 00:19:55,217
the average. 15% is fairly generous.
20% is about as generous as you get.
356
00:19:55,217 --> 00:19:58,641
So what it means is at an early stage,
I as the, as the CEO and,
357
00:19:58,641 --> 00:20:02,855
and main founder are saying that this
business is also going to be owned by the
358
00:20:02,855 --> 00:20:06,332
individuals that come into it.
And those that come in earlier are
359
00:20:06,332 --> 00:20:09,229
obviously going to get a better stake.
Now, of course,
360
00:20:09,229 --> 00:20:12,179
you have a cliff and you have a vesting
in all of that.
361
00:20:12,250 --> 00:20:14,882
In place,
but if you make that clear from the start
362
00:20:14,882 --> 00:20:17,109
and you publicly share that with your
team,
363
00:20:17,109 --> 00:20:20,754
they know that you're serious and
obviously the documentation will back
364
00:20:20,754 --> 00:20:24,399
that up. So that's 1/2. As I said,
make sure people know that ideas are
365
00:20:24,399 --> 00:20:28,499
valued. They don't have to always agree.
Sometimes differing opinions are useful
366
00:20:28,499 --> 00:20:32,346
to help an organization make the right
decision. And so you let them voice,
367
00:20:32,346 --> 00:20:36,396
make them have a voice, hear that voice.
And then of course, whenever possible,
368
00:20:36,396 --> 00:20:39,990
you, you make those changes,
you make that pivot, you adapt a product,
369
00:20:39,990 --> 00:20:42,369
whatever it is to suit what they've
suggested.
370
00:20:42,750 --> 00:20:46,889
So that's the other part. And I guess the,
the third thing is I'm very transparent
371
00:20:46,889 --> 00:20:50,180
with the team about where the business is
at in terms of revenue,
372
00:20:50,180 --> 00:20:52,673
where the business is at in terms of
fundraising.
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00:20:52,673 --> 00:20:55,017
I don't try and mask it and hide it.
You know,
374
00:20:55,017 --> 00:20:57,311
I don't try and protect people from
anything.
375
00:20:57,311 --> 00:21:00,154
Just be honest with them about where the
business is at,
376
00:21:00,154 --> 00:21:03,196
where the business is going to be at next
month, six months.
377
00:21:03,196 --> 00:21:06,736
And then when it comes to compensation,
when it comes to other things,
378
00:21:06,736 --> 00:21:09,329
you'll be open with them, right?
And you say, look,
379
00:21:09,329 --> 00:21:13,119
this is where we are at the moment.
Once we hit this number, then of course
380
00:21:13,190 --> 00:21:16,187
you can look to increase comp in such a
level, in such a way.
381
00:21:16,187 --> 00:21:20,200
Having those conversations with people,
I think they really respected it a lot. I,
382
00:21:20,200 --> 00:21:24,213
I think the people on our team would say
that themselves, that they do feel heard,
383
00:21:24,213 --> 00:21:27,259
they feel respected,
they feel that there's transparency there
384
00:21:27,259 --> 00:21:30,305
and what we're doing.
And then it creates this drive together.
385
00:21:30,305 --> 00:21:34,173
Definitely having equity is important
because it feels like it's their business
386
00:21:34,173 --> 00:21:36,397
too.
And even if the percentages are smaller,
387
00:21:36,397 --> 00:21:40,265
you know, at the beginning stages, they,
they still have a say in that and they
388
00:21:40,265 --> 00:21:43,649
can make that business valuable.
So I'd say that's how we've done it.
389
00:21:44,430 --> 00:21:46,745
I,
we haven't really had anybody that's left
390
00:21:46,745 --> 00:21:49,883
to do another entrepreneurial venture,
not at all. But yeah,
391
00:21:49,883 --> 00:21:53,587
look at some point down the line,
maybe it's a few years down the line,
392
00:21:53,587 --> 00:21:56,468
that may be a conversation that happens
maybe once the,
393
00:21:56,468 --> 00:22:00,377
the shares they have fully vested,
perhaps that is something that will have
394
00:22:00,377 --> 00:22:03,207
to encounter.
But the truth is the business will be at
395
00:22:03,207 --> 00:22:05,985
a, a far different position by them.
You know, we're,
396
00:22:05,985 --> 00:22:10,203
we're building towards being a global,
you know, our agency recruitment platform.
397
00:22:10,203 --> 00:22:12,621
We are already expanding into markets in
Asia.
398
00:22:12,621 --> 00:22:15,759
We've sent our first partnership with the
company in the US.
399
00:22:15,890 --> 00:22:18,061
I've got two members of my team in the UK
now.
400
00:22:18,061 --> 00:22:21,665
So we're going to be a global business,
you know, within the next year or so.
401
00:22:21,665 --> 00:22:23,745
So if we're talking 3-4 years down the
line,
402
00:22:23,745 --> 00:22:26,286
the business will actually be in another
level, right?
403
00:22:26,286 --> 00:22:29,336
We would have got past that zero to 1
stage. Now all of a sudden,
404
00:22:29,336 --> 00:22:31,507
that kind of 10 to 100 stage or beyond,
right?
405
00:22:31,507 --> 00:22:35,158
That's kind of where we're looking at.
And actually you encounter new problems
406
00:22:35,158 --> 00:22:37,560
then, right?
You go from that early scrappy startup
407
00:22:37,560 --> 00:22:40,610
stage into the growth stage.
And once you're in the growth stage,
408
00:22:40,610 --> 00:22:43,660
maybe those same lessons don't always
apply exactly the same way.
409
00:22:45,010 --> 00:22:46,850
Makes sense. Um,
410
00:22:47,920 --> 00:22:53,731
are you able to share anything further
about your ESOP and how you structured it in
411
00:22:53,731 --> 00:22:58,380
addition to the allocation
of your, your designed?
412
00:22:59,750 --> 00:23:03,790
Yes, So as I mentioned, we, we are at 20%.
So we're at the high end of the,
413
00:23:03,790 --> 00:23:06,926
the equity pledge.
It's a one-year cliff with a three-year
414
00:23:06,926 --> 00:23:10,966
vesting, which is also, you know, fairly,
fairly standard, if not generous.
415
00:23:10,966 --> 00:23:13,677
And yeah,
with the moment we've got at least eight
416
00:23:13,677 --> 00:23:17,186
people I think on the team that have an
equity portion. So again,
417
00:23:17,186 --> 00:23:19,950
if you think that we've got what 10 in
the company,
418
00:23:19,950 --> 00:23:24,149
that's pretty much 80% of the team have
some equity at this point. Of course,
419
00:23:24,149 --> 00:23:27,073
that doesn't necessarily continue forever,
right? You,
420
00:23:27,073 --> 00:23:29,200
you can't do that for every single hire.
421
00:23:29,910 --> 00:23:33,012
You cannot maybe junior hires and,
and as you grow into new markets,
422
00:23:33,012 --> 00:23:35,350
but at this early stage,
it's something you can do.
423
00:23:35,350 --> 00:23:38,093
And it's clearly a,
a big value add for why people are gonna
424
00:23:38,093 --> 00:23:41,060
take a risk and spend, you know,
the majority of their time on a,
425
00:23:41,060 --> 00:23:42,230
on an early stage startup.
426
00:23:43,630 --> 00:23:47,629
Makes sense. Um, so in the beginning,
it's all about like the,
427
00:23:47,629 --> 00:23:51,374
the team construction and a lot of your
first hires end up,
428
00:23:51,374 --> 00:23:53,660
end up being your leaders. So what's
429
00:23:54,560 --> 00:23:58,330
how do you go about the team construction?
What's the, the 1st
430
00:23:59,660 --> 00:24:04,267
Well, in, in, in this case,
with Preferrd, what was your first senior
431
00:24:04,267 --> 00:24:08,604
leadership hire? And,
and if you can kind of extrapolate into
432
00:24:08,604 --> 00:24:13,822
more of a skill of founders lesson like
what 2 founders usually get right or
433
00:24:13,822 --> 00:24:16,330
wrong around their leadership hiring.
434
00:24:17,550 --> 00:24:21,242
Yeah, good question. So the,
the best one I could give is our COO.
435
00:24:21,242 --> 00:24:24,328
So our COO, I got,
he's been involved in the recruiting
436
00:24:24,328 --> 00:24:28,186
industry on and off for over 25 years.
He actually has more experience in
437
00:24:28,186 --> 00:24:31,603
recruiting than I do.
And he's also been involved in advising
438
00:24:31,603 --> 00:24:35,130
and investing in startups.
So I got introduced to him about two
439
00:24:35,130 --> 00:24:39,538
years ago. And when we first connected,
he actually had a similar idea actually
440
00:24:39,538 --> 00:24:41,963
for,
for what he wanted to do to what I was
441
00:24:41,963 --> 00:24:46,041
looking to do here with Preferrd.
And so one of the lessons I've learned
442
00:24:46,041 --> 00:24:47,640
over the years was, you know,
443
00:24:47,730 --> 00:24:50,913
if somebody at this level,
I've got to meet him multiple times.
444
00:24:50,913 --> 00:24:54,096
And I mentioned the example earlier,
that's exactly what I did.
445
00:24:54,096 --> 00:24:57,131
We met for coffees, we met for beers,
we met in the morning,
446
00:24:57,131 --> 00:24:59,518
we met in the afternoon,
we met in the evening,
447
00:24:59,518 --> 00:25:02,602
We spoke on corners and weekends.
We must have met, you know,
448
00:25:02,602 --> 00:25:05,686
more than half a dozen times before we
made the decision. OK,
449
00:25:05,686 --> 00:25:08,372
let's let's continue and and then let's
go ahead and,
450
00:25:08,372 --> 00:25:12,103
and bring you into the fold and do this
together. That took a lot of time.
451
00:25:12,103 --> 00:25:16,082
And then obviously the conversation about
how the roles were going to be split,
452
00:25:16,082 --> 00:25:18,469
how equity was going to be, you know,
allocated
453
00:25:18,560 --> 00:25:23,246
and how the vision of the business were
gonna be set up, that all took time.
454
00:25:23,246 --> 00:25:27,323
So I would say that that was a very good
example at the beginning.
455
00:25:27,323 --> 00:25:32,313
A more relevant one to the chief of staff
was actually our chief project manager.
456
00:25:32,313 --> 00:25:35,113
So I got to know her towards the end of
2024,
457
00:25:35,113 --> 00:25:38,095
so about a year and a half ago or so.
And again,
458
00:25:38,095 --> 00:25:42,111
I'd actually initially spoken to a
colleague of hers that I knew.
459
00:25:42,111 --> 00:25:45,702
She'd also been working in an recruiting
startup business.
460
00:25:45,702 --> 00:25:49,780
So I knew this other individual,
because they grew up in Hong Kong
461
00:25:49,960 --> 00:25:52,271
and I wanted to kind of bring them into
our business,
462
00:25:52,271 --> 00:25:55,054
was kind of like a chief of staff role.
Yeah. And unfortunately,
463
00:25:55,054 --> 00:25:58,094
she couldn't take the position.
She just got a role of the hedge fund.
464
00:25:58,094 --> 00:26:01,433
And so her business partner actually was
the one that took the initiative and
465
00:26:01,433 --> 00:26:03,402
reached out to me on LinkedIn.
So in essence,
466
00:26:03,402 --> 00:26:05,671
that could be considered almost a cold
introduction.
467
00:26:05,671 --> 00:26:09,010
So she reached out to me and said, I,
I saw your deck and I heard you talking
468
00:26:09,010 --> 00:26:11,194
to my colleague.
And I think what you're doing is,
469
00:26:11,194 --> 00:26:13,292
is really exciting.
I think the vision is great,
470
00:26:13,292 --> 00:26:16,331
and I can see how this is going to
transform the recruitment industry.
471
00:26:16,331 --> 00:26:19,328
And so then we had a call,
then we met for coffee, then we met again.
472
00:26:19,328 --> 00:26:20,570
And over these conversations,
473
00:26:20,640 --> 00:26:24,500
I started to understand that this is
somebody that really has a passion for
474
00:26:24,500 --> 00:26:27,750
what we're building. Um,
they already got experience in running
475
00:26:27,750 --> 00:26:30,848
companies themselves.
They understand the recruitment world.
476
00:26:30,848 --> 00:26:34,353
She's actually a qualified engineer.
So she's also a technical hire,
477
00:26:34,353 --> 00:26:37,146
which is great, right?
To have somebody that's also a,
478
00:26:37,146 --> 00:26:41,362
a technical as well as an entrepreneur is,
is, is a really good skill set to have.
479
00:26:41,362 --> 00:26:43,850
So yeah,
we had multiple conversations and then,
480
00:26:43,850 --> 00:26:46,288
yeah,
I think she was actually the first person
481
00:26:46,288 --> 00:26:49,488
that I got onto the,
the proper ESOP plan that that was put in
482
00:26:49,488 --> 00:26:50,860
place around that time. And
483
00:26:50,970 --> 00:26:54,837
I would say now she's one of the most
critical people to the business. You know,
484
00:26:54,837 --> 00:26:58,180
she's the one that keeps everything
ticking along and, you know, and,
485
00:26:58,180 --> 00:27:00,759
and ensures that we're on top of all of
our projects,
486
00:27:00,759 --> 00:27:04,006
helps us with fundraising and other
things that we're dealing with.
487
00:27:04,006 --> 00:27:07,540
So I'd say that's a great example of how
I followed those principles and,
488
00:27:07,540 --> 00:27:10,787
and brought somebody in and yeah,
it's worked out to be a fantastic
489
00:27:10,787 --> 00:27:11,790
addition to the team.
490
00:27:12,790 --> 00:27:14,976
How did you,
how do you end up finding that?
491
00:27:14,976 --> 00:27:18,912
You said that she came across your deck
and she resolved the deck she thought to
492
00:27:18,912 --> 00:27:22,264
be cold on LinkedIn. And so no,
I actually, I'm one of those people.
493
00:27:22,264 --> 00:27:25,471
Maybe I'm a bit old school.
I actually replied to everybody on my
494
00:27:25,471 --> 00:27:28,630
LinkedIn. People hear this and they go,
that's insane. You know,
495
00:27:28,630 --> 00:27:30,816
what about all the spammers? I'm like,
well,
496
00:27:30,816 --> 00:27:34,703
they might only get a one word reply,
but I will reply to everybody, right. So,
497
00:27:34,703 --> 00:27:37,862
and that's something I say.
I'm not spending all day on LinkedIn
498
00:27:37,862 --> 00:27:41,457
messages either, but I do that.
It's just a way to acknowledge it because
499
00:27:41,457 --> 00:27:43,450
I've been on the other side of the fence.
500
00:27:43,520 --> 00:27:45,650
Yeah,
I've been sending out cold emails all day
501
00:27:45,650 --> 00:27:49,068
and hoping for the best and getting a
maybe 2025% hit rate and thinking that
502
00:27:49,068 --> 00:27:51,465
was pretty good.
And it is pretty good statistically.
503
00:27:51,465 --> 00:27:54,350
So I always try and give a reply,
even if it's to say thank you,
504
00:27:54,350 --> 00:27:57,190
I'm not interested. And so I,
I did respond to her and I really
505
00:27:57,190 --> 00:28:00,652
appreciated that she just reached out.
She she share highlights on what she'd
506
00:28:00,652 --> 00:28:03,138
seen in the deck.
She understood the conversation I was
507
00:28:03,138 --> 00:28:06,778
having with her business partner when I
was trying to bring that business partner
508
00:28:06,778 --> 00:28:10,462
into my business. And, and she said, look,
I would love to be able to do this with
509
00:28:10,462 --> 00:28:13,880
you instead. And then, yeah, as I said,
once you met multiple times, I could
510
00:28:13,960 --> 00:28:16,162
see that that wasn't just bluster,
it was real.
511
00:28:16,162 --> 00:28:19,741
It was there was conviction behind it,
and there was also a strong capability
512
00:28:19,741 --> 00:28:22,082
and skill.
So that she bought that was going to be
513
00:28:22,082 --> 00:28:23,000
complementary to us.
514
00:28:24,910 --> 00:28:28,976
So I'm curious,
I mean you talking about like discerning
515
00:28:28,976 --> 00:28:33,756
between blaster and passion,
like looking for the people with that
516
00:28:33,756 --> 00:28:37,395
generate interest.
Have you ever considered having
517
00:28:37,395 --> 00:28:40,820
cofounders?
And what's your take on cofounders?
518
00:28:42,140 --> 00:28:47,160
Yeah, so I would say cofounders.
You got to think about it as a marriage.
519
00:28:47,160 --> 00:28:51,910
OK, I'm married. I love my wife.
We've been together for 12 years. My
520
00:28:52,680 --> 00:28:56,797
a Co founder for the recruitment company
I mentioned I set up a recruitment
521
00:28:56,797 --> 00:28:59,994
company 14 years ago.
I had a cofounder for that business.
522
00:28:59,994 --> 00:29:02,811
Now I'd actually worked with that guy for
19 years.
523
00:29:02,811 --> 00:29:06,008
So when I started working as a headhunter
in January 2007,
524
00:29:06,008 --> 00:29:10,072
this guy was actually in the same office
as me. He was a little bit older.
525
00:29:10,072 --> 00:29:12,510
He's actually,
he's a Canadian born Chinese.
526
00:29:12,510 --> 00:29:15,978
So he grew up in Vancouver,
in Richmond like a lot of Hong Kong
527
00:29:15,978 --> 00:29:19,824
people did. Yeah. So you know,
when we worked together for 5 1/2 years
528
00:29:19,824 --> 00:29:23,130
and when we set up that first recruiting
business, we did it
529
00:29:23,200 --> 00:29:26,202
together, bootstrapped,
you know that it's a very low barrier to
530
00:29:26,202 --> 00:29:29,667
entry with pretty high ROI in that
industry. So that decision was kind of,
531
00:29:29,667 --> 00:29:33,270
I would say made more because we just
looked at each other and we said, well,
532
00:29:33,270 --> 00:29:36,088
we're basically generating all the
revenue in this business,
533
00:29:36,088 --> 00:29:38,167
but we have no equity in this business.
Now.
534
00:29:38,167 --> 00:29:41,816
I was dealing with international firms.
He was dealing with a lot more Chinese
535
00:29:41,816 --> 00:29:45,281
firms because he speaks Mandarin.
And we said we have a natural complement
536
00:29:45,281 --> 00:29:47,822
here. You know, you're,
you're covering these clients,
537
00:29:47,822 --> 00:29:50,686
I'm covering these clients.
I'm doing my work in Mandarin and
538
00:29:50,686 --> 00:29:53,920
Cantonese. You're doing yours in English.
We could just go and set up
539
00:29:54,000 --> 00:29:58,024
confirm together and win a lot of these
accounts and we're doing it anyway
540
00:29:58,024 --> 00:30:00,761
ourselves.
And instead of seeing maybe 30% of that
541
00:30:00,761 --> 00:30:04,410
fee, your Commission as fee,
the fee as a Commission, we could get,
542
00:30:04,410 --> 00:30:07,522
you know, 60% of that fee is commissioned,
right or more.
543
00:30:07,522 --> 00:30:11,332
And so that decision I'd say kind of just
happened more instinctually.
544
00:30:11,332 --> 00:30:15,678
I would say that just kind of happened
because the opportunity presented itself.
545
00:30:15,678 --> 00:30:18,469
But since then,
I would say every company I've been
546
00:30:18,469 --> 00:30:23,030
involved in, I've actually had cofounders.
So for Zetl, the, the lending business,
547
00:30:23,030 --> 00:30:24,640
I had two cofounders for that.
548
00:30:25,430 --> 00:30:29,608
So Zetl was an interesting one because I
had all this experience in recruitment,
549
00:30:29,608 --> 00:30:33,167
but I hadn't obviously been directly
involved in financial services.
550
00:30:33,167 --> 00:30:35,695
And I knew if I wanted this business to
succeed,
551
00:30:35,695 --> 00:30:38,635
it would have to raise a lot of money,
you know, equity,
552
00:30:38,635 --> 00:30:42,349
but debt capital in particular to use as
lending capital. So, you know,
553
00:30:42,349 --> 00:30:46,786
was I going to be able on my own to raise,
you know, 10s of millions of dollars, U.S.
554
00:30:46,786 --> 00:30:49,520
dollars in,
in private credit from credit funds and,
555
00:30:49,520 --> 00:30:51,790
and,
and had high net worth individuals and
556
00:30:51,790 --> 00:30:55,039
family offices when I don't have a track
record. So I realized
557
00:30:55,130 --> 00:30:59,167
early on for the business to become more
of an idea, I would have to give away,
558
00:30:59,167 --> 00:31:01,741
you know,
cofounders definitely have to bring into
559
00:31:01,741 --> 00:31:04,567
the business.
I probably have to give them good titles,
560
00:31:04,567 --> 00:31:08,403
if not better titles than myself.
And I'd have to be willing to give away a
561
00:31:08,403 --> 00:31:11,128
lot of equity,
if not potentially the majority of the
562
00:31:11,128 --> 00:31:15,115
equity, you know, to the two of them.
And so I made that decision consciously.
563
00:31:15,115 --> 00:31:18,043
So I think when I set up the business,
it was early 2018.
564
00:31:18,043 --> 00:31:20,616
Obviously I was the sole shareholder at
that time.
565
00:31:20,616 --> 00:31:24,301
I went to a guy that I knew who was an
execution trader at a hedge fund.
566
00:31:24,301 --> 00:31:26,319
I got to know him as a, as a headhunter.
567
00:31:26,480 --> 00:31:29,424
He was a good guy. We,
we'd actually collaborated once on
568
00:31:29,424 --> 00:31:32,368
building a scraping algorithm to scrape
the SFC database,
569
00:31:32,368 --> 00:31:35,617
which is the Hong Kong licensed financial
regulatory body here.
570
00:31:35,617 --> 00:31:39,425
And So what I was doing is we created an
algorithm to scan the changes and
571
00:31:39,425 --> 00:31:42,521
licenses day by day.
And So what that meant is the financial
572
00:31:42,521 --> 00:31:45,415
services recruiter,
I could see which organizations were
573
00:31:45,415 --> 00:31:47,649
adding people and underneath what
function,
574
00:31:47,649 --> 00:31:51,761
which organizations were cutting people
and also which organizations had applied
575
00:31:51,761 --> 00:31:55,670
for licenses and had ceased their
licenses. And so that's a BDD tool, right?
576
00:31:55,670 --> 00:31:56,990
I can see who's hiring and
577
00:31:57,400 --> 00:31:59,464
yeah.
And so we've collaborated on this about
578
00:31:59,464 --> 00:32:02,112
two years prior.
And so I'd worked with him and I knew how
579
00:32:02,112 --> 00:32:05,479
was he approached things. Again,
this is comes back to how I say work with
580
00:32:05,479 --> 00:32:07,902
people, you know,
try and get to know them, you know,
581
00:32:07,902 --> 00:32:10,954
as much as you can over time.
And so when I reached out to, I said,
582
00:32:10,954 --> 00:32:14,545
look, I I can get us these customers.
I could probably raise a bit of money and
583
00:32:14,545 --> 00:32:16,969
and you know,
I'm good at marketing and partnerships.
584
00:32:16,969 --> 00:32:19,617
What I'm not that good at is building the
financial model.
585
00:32:19,617 --> 00:32:22,804
I'm not good at programming.
And I also know the credit and risk side,
586
00:32:22,804 --> 00:32:25,721
building a risk management framework and
credit risk assessment.
587
00:32:25,721 --> 00:32:28,280
That's not something I can do myself.
So he came in and,
588
00:32:28,360 --> 00:32:31,844
and cover that piece doing the
programming and putting the financial
589
00:32:31,844 --> 00:32:34,168
model.
And I made him CEO and he got a lot of
590
00:32:34,168 --> 00:32:36,491
equity.
And then there was another cofounder.
591
00:32:36,491 --> 00:32:39,218
Then again,
I got introduced to in Singapore who came
592
00:32:39,218 --> 00:32:42,956
from a private credit background.
He also had worked in a couple of major
593
00:32:42,956 --> 00:32:46,643
banks and he had a great understanding of
risk management and, you know,
594
00:32:46,643 --> 00:32:50,582
underwriting and credit risk management.
And so we 3 collaborated. And again,
595
00:32:50,582 --> 00:32:52,905
you know, he,
he was CEO and a lot of equity.
596
00:32:52,905 --> 00:32:55,329
We 3 collaborated to put the business
together,
597
00:32:56,030 --> 00:32:58,767
took us a while.
So I'd say from incorporating the company,
598
00:32:58,767 --> 00:33:01,824
that was probably March 2918 when it was
just me as a solopreneur.
599
00:33:01,824 --> 00:33:04,516
By the end of 2018,
I had the two cofounders then in place
600
00:33:04,516 --> 00:33:07,345
with me with titles,
and we were kind of putting together the
601
00:33:07,345 --> 00:33:10,858
business. And then we went live in 2019.
So it probably took about a year to
602
00:33:10,858 --> 00:33:14,188
actually go live. And then as I said,
look, we we launched in Hong Kong.
603
00:33:14,188 --> 00:33:17,838
We expanded to Singapore most immediately
afterwards. And then before too long,
604
00:33:17,838 --> 00:33:20,485
we were in Malaysia and even in the
Philippines. So yeah,
605
00:33:20,485 --> 00:33:23,541
that was probably how I went about it.
But if I look at my career,
606
00:33:23,541 --> 00:33:27,100
having cofounders has been a big part of
it because I like to work with other
607
00:33:27,100 --> 00:33:27,420
people.
608
00:33:27,960 --> 00:33:30,275
You know,
I think you also have to be humble enough
609
00:33:30,275 --> 00:33:33,570
to know what are your weak spots.
Maybe there's something missing in your
610
00:33:33,570 --> 00:33:35,573
skill set,
but somebody else can complement.
611
00:33:35,573 --> 00:33:38,066
But I would say, look,
it is like a marriage. You know,
612
00:33:38,066 --> 00:33:41,450
there's going to be tough points,
there's going to be arguments. And again,
613
00:33:41,450 --> 00:33:44,790
it's whether you can find this compromise
and where you can get over them.
614
00:33:44,790 --> 00:33:47,995
That's going to be very important.
And some people are just meant to be
615
00:33:47,995 --> 00:33:50,533
solopreneurs.
There's nothing wrong with that, you know,
616
00:33:50,533 --> 00:33:54,095
and I do believe that there will be a,
a unicorn solopreneur company very soon.
617
00:33:54,095 --> 00:33:56,589
We're already seeing solopreneurs getting
to, you know,
618
00:33:56,589 --> 00:33:58,370
nearly $100 million-plus valuations. So
619
00:33:58,470 --> 00:34:03,520
I think Unicorn will come very mark in,
in, in the case of Zetl,
620
00:34:05,700 --> 00:34:09,969
what was your thought process in terms of
bringing in the, the, the,
621
00:34:09,969 --> 00:34:13,928
the two cofounders and,
and more so not necessarily like how do
622
00:34:13,928 --> 00:34:16,713
you go,
how do you went about bringing them?
623
00:34:16,713 --> 00:34:17,270
But like,
624
00:34:18,820 --> 00:34:21,693
how do you identify the gaps? Did you,
did you map?
625
00:34:21,693 --> 00:34:26,170
It was more intuitive in terms of like,
well, I'm good at this. I'm lacking this
626
00:34:27,670 --> 00:34:31,515
how scientific versus Artie,
what you were in in kind of making the
627
00:34:31,515 --> 00:34:36,153
decision in terms of what skill set you
were missing or what who you needed to on
628
00:34:36,153 --> 00:34:39,830
board in addition to yourself to round
out the the founding team
629
00:34:41,220 --> 00:34:44,304
question.
And I'd say also what I'm about to say is
630
00:34:44,304 --> 00:34:48,634
not as relevant now in a post a IH
because back then we obviously didn't
631
00:34:48,634 --> 00:34:51,836
have the LMS tools available that we have
now, right?
632
00:34:51,836 --> 00:34:56,166
It was it was a different time.
So I would say there was probably it was
633
00:34:56,166 --> 00:35:00,377
probably more art, But you know,
I knew that I hadn't previously run a
634
00:35:00,377 --> 00:35:03,877
loan book, you know,
I hadn't previously managed money for
635
00:35:03,877 --> 00:35:06,665
somebody. So these things were obvious,
right?
636
00:35:06,665 --> 00:35:10,935
I hadn't been a licensed financial
services professional. So, you know,
637
00:35:10,935 --> 00:35:11,410
that was
638
00:35:11,540 --> 00:35:15,531
quantitative, qualitative is very obvious.
So that was one thing. Now,
639
00:35:15,531 --> 00:35:19,804
in terms of the programming side,
I did do a short course in building smart
640
00:35:19,804 --> 00:35:23,459
contracts on Ethereum.
So I did a solidity course, but you know,
641
00:35:23,459 --> 00:35:25,989
again,
there's a lot more that's involved in
642
00:35:25,989 --> 00:35:29,531
that. And you know,
I had no experience in Python programming,
643
00:35:29,531 --> 00:35:32,567
for example.
So I also knew that I would need to have
644
00:35:32,567 --> 00:35:36,165
a technical cofounder.
So when I brought in the guy that became
645
00:35:36,165 --> 00:35:39,482
the initial CEO,
he was a technical cofounder, right? And,
646
00:35:39,482 --> 00:35:41,900
and he could do that and he was a
licensed
647
00:35:41,980 --> 00:35:45,357
question because he was an execution
trader. And then I would say again,
648
00:35:45,357 --> 00:35:47,810
we knew as a lending business,
we would be licensed.
649
00:35:47,810 --> 00:35:50,679
We would have covenants,
we would have to report into a bank.
650
00:35:50,679 --> 00:35:54,010
And so they had to be really tight risk
management frameworks in place.
651
00:35:54,010 --> 00:35:57,527
We had to have a really good underwriting
because we're going to do our own
652
00:35:57,527 --> 00:36:00,489
underwriting in house.
So how do you build that loan management
653
00:36:00,489 --> 00:36:03,820
system, you know, from scratch?
We're not using anything off the shelf.
654
00:36:03,820 --> 00:36:05,903
So again,
we knew that we would have to have
655
00:36:05,903 --> 00:36:09,327
somebody that had a private credit
background who knew how to build these
656
00:36:09,327 --> 00:36:12,520
systems. And then of course,
the other cofounder could then automate
657
00:36:12,590 --> 00:36:16,154
those and use all the tools to to bring
them in. So I would say, look,
658
00:36:16,154 --> 00:36:19,868
it was we were very clear on what the
needs were and I knew what what was
659
00:36:19,868 --> 00:36:22,980
lacking. But of course,
there's always a little bit of an art
660
00:36:22,980 --> 00:36:25,290
involved in it.
Now Fast forward eight years,
661
00:36:26,280 --> 00:36:30,847
now it's different, right? With AI,
you can use an AI to write your business
662
00:36:30,847 --> 00:36:33,457
plan.
You can use AI as your vibe code your
663
00:36:33,457 --> 00:36:36,244
your MVP and as a kind of technical
cofounder,
664
00:36:36,244 --> 00:36:40,693
you can basically get it to draft a lot
of these documentation as as well.
665
00:36:40,693 --> 00:36:44,133
You can't have the AI as a licensed
professional. So yes,
666
00:36:44,133 --> 00:36:48,107
you would still need to have somebody
that's going to be licensed,
667
00:36:48,107 --> 00:36:52,971
but you can actually do so much more now
with AI than I could do eight years ago.
668
00:36:52,971 --> 00:36:56,590
So I would say that to get the MVP out
there for Solopreneur
669
00:36:56,740 --> 00:37:00,734
be a lot easier and faster than before.
But at some point you're gonna need a
670
00:37:00,734 --> 00:37:04,882
licensed professional who's gonna be the
person that's reporting to some kind of
671
00:37:04,882 --> 00:37:07,903
regulatory body.
So you're gonna still need a cofounder to
672
00:37:07,903 --> 00:37:10,105
do that.
But I'd say that that the initial
673
00:37:10,105 --> 00:37:12,000
starting point is, is so much greater
674
00:37:13,270 --> 00:37:14,410
changes every day
675
00:37:16,460 --> 00:37:21,566
on, on the fundraising side of Zetl,
how long did it take you to to raise the
676
00:37:21,566 --> 00:37:24,630
money that you needed to for,
for the loan book
677
00:37:25,980 --> 00:37:28,474
Incorporated the company in around March
2018,
678
00:37:28,474 --> 00:37:31,712
brought in those two cofounders over the
course of the year.
679
00:37:31,712 --> 00:37:34,312
So by the end of the year,
we had them in place.
680
00:37:34,312 --> 00:37:38,664
We raised a very small friends and family
around in about sort of Q 2/20/19 round
681
00:37:38,664 --> 00:37:41,424
about then.
And then we went officially live in Q3.
682
00:37:41,424 --> 00:37:44,555
I think it was July that we officially
went live. So yeah,
683
00:37:44,555 --> 00:37:48,111
it took us a bit of time.
First round was just friends and family.
684
00:37:48,111 --> 00:37:52,357
So it was basically the immediate network
of the three cofounders and including
685
00:37:52,357 --> 00:37:56,019
some capital from us ourselves actually.
So we obviously took a risk
686
00:37:56,320 --> 00:38:00,428
and so we put in a little bit of money
there and raised a little bit from
687
00:38:00,428 --> 00:38:03,815
friends and family and that was our first
book to get going.
688
00:38:03,815 --> 00:38:07,591
I think we got our first institutional
facility about a year later.
689
00:38:07,591 --> 00:38:11,699
There was a NASDAQ listed company that
was actually a Hong Kong business.
690
00:38:11,699 --> 00:38:15,753
We got a relatively small half a million
U.S. dollar facility from them,
691
00:38:15,753 --> 00:38:19,806
but that was probably the first
institutional debt investor that we had.
692
00:38:19,806 --> 00:38:22,748
And yeah, those their conversation,
it took a while.
693
00:38:22,748 --> 00:38:26,579
There was just three of us,
multiple meetings. I think it originated
694
00:38:26,650 --> 00:38:29,569
because I had a friend that was working
in the company, Yeah.
695
00:38:29,569 --> 00:38:32,158
And he knew what we were doing.
And he said, oh, look,
696
00:38:32,158 --> 00:38:35,030
I think they would be interested in,
in something like this.
697
00:38:35,030 --> 00:38:38,891
And that's how it all started. So again,
relationships, network driven, you know,
698
00:38:38,891 --> 00:38:41,057
I think as you know,
as people are listening,
699
00:38:41,057 --> 00:38:44,352
if they go on my LinkedIn,
you'll see I've got a pretty wide network.
700
00:38:44,352 --> 00:38:48,166
I know you got a lot of followers as well.
I've, I've got a pretty wide network,
701
00:38:48,166 --> 00:38:50,661
particularly in Hong Kong. You know,
I grew up here,
702
00:38:50,661 --> 00:38:52,733
I've been working here for almost 20
years.
703
00:38:52,733 --> 00:38:55,464
So you get to meet a lot of people in
various industries.
704
00:38:55,464 --> 00:38:57,630
And if you leave a good impression on
people,
705
00:38:57,730 --> 00:39:01,311
if you try and give something to them and
offer help, people remember that.
706
00:39:01,311 --> 00:39:03,431
And it's, you know,
2-3 years down the line,
707
00:39:03,431 --> 00:39:07,201
you go back to them and ask for something,
the more inclined to, to assist you.
708
00:39:07,201 --> 00:39:10,547
So I'd say that's a big part of it.
Build good karma over time, build,
709
00:39:10,547 --> 00:39:14,364
grow those networks leave people with a
good impression of you because you never
710
00:39:14,364 --> 00:39:17,710
know when in the future you might want to
to go to them something too.
711
00:39:18,720 --> 00:39:23,172
Words of wisdom to live by. Um,
another question for Zetl,
712
00:39:23,172 --> 00:39:26,332
and maybe this is is not as relevant
today,
713
00:39:26,332 --> 00:39:32,365
but why did you guys decide to build your
own homegrown system versus going off the
714
00:39:32,365 --> 00:39:38,182
shelf? Because I mean, at the moment,
I mean, you said it yourself like you can,
715
00:39:38,182 --> 00:39:40,050
you can vibe code anything.
716
00:39:41,790 --> 00:39:47,328
But back then it, it, it, it required a,
a much higher or much more significant
717
00:39:47,328 --> 00:39:48,090
investment.
718
00:39:50,500 --> 00:39:53,619
Yeah, good question. I'd say for us,
I wanted to, well,
719
00:39:53,619 --> 00:39:56,906
we wanted to ensure that we retain as
much IP as possible.
720
00:39:56,906 --> 00:40:00,527
Because if you're using an off the shelf
product for everything,
721
00:40:00,527 --> 00:40:03,703
what is really the IP in your business?
The origination,
722
00:40:03,703 --> 00:40:06,544
maybe the dealer origination. But again,
you know,
723
00:40:06,544 --> 00:40:11,056
somebody can replicate those channels.
So we consciously wanted to build as much
724
00:40:11,056 --> 00:40:14,287
in house as possible.
And we knew that having our own loan
725
00:40:14,287 --> 00:40:17,686
management system,
our own credit risk framework is going to
726
00:40:17,686 --> 00:40:20,750
be really valuable. And you know,
we've got a loan tape
727
00:40:20,820 --> 00:40:24,723
of about a billion U.S.
dollars in loans you know we we've built
728
00:40:24,723 --> 00:40:29,232
that up organically over the last 7 1/2
years so that is hugely valuable right in
729
00:40:29,232 --> 00:40:33,630
an era when AI can reverse engineer and
vibe code things, the data moat that you
730
00:40:33,630 --> 00:40:37,919
have the actual experience is super
important and you know we've got insights
731
00:40:37,919 --> 00:40:41,768
into all sorts of industries across
various geographies now so that's
732
00:40:41,768 --> 00:40:45,836
obviously hugely valuable and you know we
did a lot of other cool things.
733
00:40:45,836 --> 00:40:50,455
You know we built open banking API so we
can integrate directly with bank accounts.
734
00:40:50,455 --> 00:40:51,390
We were using OCR
735
00:40:51,460 --> 00:40:55,059
setting tools of bank statements.
Now we use AI for that. Of course,
736
00:40:55,059 --> 00:40:59,233
you know, we have agents for, you know,
the marketing for our customer service.
737
00:40:59,233 --> 00:41:03,198
The app is, you know, pretty slick.
Everything's done with E signatures and
738
00:41:03,198 --> 00:41:06,328
soft copy documentation,
build integrations with government
739
00:41:06,328 --> 00:41:10,136
departments so we can verify director
credentials, do bankruptcy checks.
740
00:41:10,136 --> 00:41:12,536
You know,
that all happens automatically now.
741
00:41:12,536 --> 00:41:16,814
So I would say that having the tech part
of the of that was critical to a fintech
742
00:41:16,814 --> 00:41:19,214
company.
And so that was something we knew we
743
00:41:19,214 --> 00:41:22,813
wanted to do at the beginning.
We knew it was going to take time and
744
00:41:22,813 --> 00:41:23,440
take longer,
745
00:41:23,530 --> 00:41:27,155
but also that gave us some more value
into the business. And you know,
746
00:41:27,155 --> 00:41:31,547
let's say at some point, um, you know, we,
we, we are going to have an M&A, right.
747
00:41:31,547 --> 00:41:35,581
That's very likely that's going to be
part of the value of that is the IP that
748
00:41:35,581 --> 00:41:39,410
we hold the data that we've managed to,
you know, create over these years.
749
00:41:39,410 --> 00:41:41,811
So yeah, that's a big part of it.
I would say.
750
00:41:41,811 --> 00:41:45,079
You said that you're really good at
marketing and partnerships.
751
00:41:45,079 --> 00:41:46,559
I'm curious in the early days
752
00:41:47,900 --> 00:41:51,837
really it in this case,
in this instance you were dealing with
753
00:41:51,837 --> 00:41:55,712
some government entities.
How do you convince them to let you
754
00:41:55,712 --> 00:41:58,962
integrate with their platforms,
whatever they have,
755
00:41:58,962 --> 00:42:02,900
because obviously they have very,
very risk averse and, and so
756
00:42:04,070 --> 00:42:05,120
what's, um,
757
00:42:06,060 --> 00:42:08,770
what,
what's your approach in terms of getting
758
00:42:08,770 --> 00:42:09,520
their buy-in?
759
00:42:11,020 --> 00:42:15,278
So how do we do that?
So we did that in Hong Kong and Singapore.
760
00:42:15,278 --> 00:42:18,686
And the way we did it was through.
So in Hong Kong,
761
00:42:18,686 --> 00:42:22,355
we were part of something called the
Cyberport program.
762
00:42:22,355 --> 00:42:27,072
Cyberport is a quasi government private
partnership, like funding body.
763
00:42:27,072 --> 00:42:31,069
So they basically give grants to startups
here in Hong Kong.
764
00:42:31,069 --> 00:42:36,049
So by being a part of cyber port,
we had a lot of legitimacy in the eyes of
765
00:42:36,049 --> 00:42:40,504
the government departments.
So it was the companies registry is the
766
00:42:40,504 --> 00:42:41,160
department
767
00:42:41,240 --> 00:42:44,852
we needed to build an integration with.
So coming to them as a cyberport
768
00:42:44,852 --> 00:42:48,564
companies, the doors opened. Yeah.
So that would say that's how we did it.
769
00:42:48,564 --> 00:42:52,474
So we took this one step and then knew
with that step would get us in the door
770
00:42:52,474 --> 00:42:55,889
of this other organization.
So that was probably how we did it there
771
00:42:55,889 --> 00:42:58,561
in Singapore.
Now I think we've also done a different
772
00:42:58,561 --> 00:43:01,976
accelerator program there.
I don't think it was Government 1 though,
773
00:43:01,976 --> 00:43:04,648
but it was a private markets accelerator
that we did.
774
00:43:04,648 --> 00:43:08,410
And that it also just so happened that in
that private markets accelerated,
775
00:43:08,410 --> 00:43:11,330
they had a relationship with ACRA,
which is the Singapore
776
00:43:11,560 --> 00:43:14,652
department there. And so it was a similar,
similar conversation.
777
00:43:14,652 --> 00:43:16,936
The door was open for us. They would say,
look,
778
00:43:16,936 --> 00:43:20,267
these guys are part of an accelerator
with us. We can vouch for them.
779
00:43:20,267 --> 00:43:23,122
They're good business. You know,
you should work with them.
780
00:43:23,122 --> 00:43:25,739
The door opened.
So it's sort of not going directly to
781
00:43:25,739 --> 00:43:28,499
them, but finding a way to,
to warm up that introduction.
782
00:43:28,499 --> 00:43:30,259
It's a much better chance of success.
783
00:43:31,960 --> 00:43:36,313
I'm curious from a geography perspective,
Mark,
784
00:43:36,313 --> 00:43:40,940
what do most people get wrong about Hong
Kong. Um,
785
00:43:43,400 --> 00:43:45,210
in particular, we obviously
786
00:43:47,770 --> 00:43:52,000
doesn't matter if it's, if it's Hong Kong,
doesn't matter if China,
787
00:43:52,000 --> 00:43:55,733
the world has evolved at a really fast
pace. But like what,
788
00:43:55,733 --> 00:44:00,772
what I'm hearing and I don't know if this
is purely conversational is that there
789
00:44:00,772 --> 00:44:05,749
has been a bit of exodus of capital from
Hong Kong and things are not what they
790
00:44:05,749 --> 00:44:08,860
used to be.
I'm I'm just kind of curious for your
791
00:44:08,860 --> 00:44:10,540
perspective. You home turf.
792
00:44:11,470 --> 00:44:14,290
Yeah, Look, happy to look.
So obviously I was born here.
793
00:44:14,290 --> 00:44:18,297
I grew up here, right. So this is my home.
So everyone take that with a pinch of
794
00:44:18,297 --> 00:44:20,623
salt.
What I would say is Hong Kong was one of
795
00:44:20,623 --> 00:44:22,948
the greatest economies in the world.
You know,
796
00:44:22,948 --> 00:44:25,769
it was phenomenal because it was a bridge
between China,
797
00:44:25,769 --> 00:44:29,430
which was obviously fast emerging,
particularly after being accepted into
798
00:44:29,430 --> 00:44:32,399
the WTO, and the US,
which is the world's dominant economic
799
00:44:32,399 --> 00:44:34,625
power.
And so Hong Kong was a part of the US
800
00:44:34,625 --> 00:44:37,396
financial system,
whereas it was also part of a Chinese
801
00:44:37,396 --> 00:44:40,464
manufacturing system.
And so that's why Hong Kong all the way
802
00:44:40,464 --> 00:44:41,800
from the 70s up and sort of
803
00:44:41,880 --> 00:44:45,253
until 2019 was really a boom time.
And a wonderful standard of
804
00:44:45,253 --> 00:44:47,914
living. Now, in 2019,
there was the government protests,
805
00:44:47,914 --> 00:44:51,335
which was really no doubt there was a
massive, massive issue, you know,
806
00:44:51,335 --> 00:44:54,614
for the second half of 2019.
It had a huge impact on people's lives
807
00:44:54,614 --> 00:44:57,227
day-to-day.
Then immediately it was followed by COVID.
808
00:44:57,227 --> 00:45:00,696
And Hong Kong was one of the first hit by
COVID because we're of course,
809
00:45:00,696 --> 00:45:03,357
next to China and we were one of the last
out of COVID.
810
00:45:03,357 --> 00:45:07,253
It was three years that we were dealing
with COVID measures in place from 2020 to
811
00:45:07,253 --> 00:45:10,769
2023 and then on the back of 2023 when
everyone thought that things would
812
00:45:10,769 --> 00:45:12,289
improve. What actually happened,
813
00:45:12,370 --> 00:45:14,446
people have been locked here for three
years,
814
00:45:14,446 --> 00:45:17,560
all they wanted to do was go overseas and
spend their money overseas.
815
00:45:17,560 --> 00:45:19,998
And at that time,
there weren't a lot of tourists coming
816
00:45:19,998 --> 00:45:22,887
because we'd had the protests followed by
three years of COVID.
817
00:45:22,887 --> 00:45:26,588
So that's four years of negative PR. And,
you know, travelers are a fickle bunch.
818
00:45:26,588 --> 00:45:29,973
They're going to go somewhere where
prices are cheap and they think things
819
00:45:29,973 --> 00:45:32,050
are fun,
not where they think there might be,
820
00:45:32,050 --> 00:45:34,216
you know,
a gas canisters going off or they get
821
00:45:34,216 --> 00:45:36,744
locked into their hotel room.
So that had a big impact.
822
00:45:36,744 --> 00:45:40,084
2023 was actually really bad for the
economy because when you come out of
823
00:45:40,084 --> 00:45:42,206
COVID,
everyone expected this boom like we saw
824
00:45:42,206 --> 00:45:43,470
in other parts of the world.
825
00:45:43,570 --> 00:45:46,928
Didn't happen here. And yes,
there was an exodus of a lot of,
826
00:45:46,928 --> 00:45:50,557
particularly expatriates.
Expatriates with families were concerned
827
00:45:50,557 --> 00:45:53,158
that they're going to get sent into
quarantine.
828
00:45:53,158 --> 00:45:55,704
I myself was sent into quarantine for 10
days.
829
00:45:55,704 --> 00:45:59,875
So I know first hand what it was like.
I was in a basic aluminium box for 10
830
00:45:59,875 --> 00:46:02,312
days,
which thankfully had air conditioning,
831
00:46:02,312 --> 00:46:05,237
but it was pretty grim, you know,
it was pretty grim.
832
00:46:05,237 --> 00:46:09,679
So we lost a lot of talent and of course,
capital went with that talent. So yeah,
833
00:46:09,679 --> 00:46:13,038
I would say in 2019 and 2023,
it was a very challenging time.
834
00:46:13,038 --> 00:46:13,580
2024, I would say,
835
00:46:13,910 --> 00:46:17,955
there was still a bit of an exodus,
although it was slowing down.
836
00:46:17,955 --> 00:46:22,108
2025 though there has been a bit of a
change since the summer of 2025 and the
837
00:46:22,108 --> 00:46:25,302
data backs this up.
We are seeing last year, 2025, was the most
838
00:46:25,302 --> 00:46:28,656
number of company incorporations in
Hong Kong in history.
839
00:46:28,656 --> 00:46:32,276
So that was the most amount of new
businesses that were created was
840
00:46:32,276 --> 00:46:35,417
something like 45,
000 companies were created in Hong Kong
841
00:46:35,417 --> 00:46:38,132
last year.
Probably the majority of those are from
842
00:46:38,132 --> 00:46:40,741
China,
but there was a lot coming from overseas.
843
00:46:40,741 --> 00:46:43,882
That's one thing 2 and I said this is a
recruiter as well.
844
00:46:43,882 --> 00:46:45,159
We started to see talent
845
00:46:45,550 --> 00:46:48,547
coming back to Hong Kong,
people that had moved to Singapore and
846
00:46:48,547 --> 00:46:52,097
Dubai and even the UK and Australia and
elsewhere. They said, you know what,
847
00:46:52,097 --> 00:46:55,325
things are not as good over here as I
thought. The tax is quite high.
848
00:46:55,325 --> 00:46:57,815
Inflation is rampant.
I kind of missed the, you know,
849
00:46:57,815 --> 00:47:00,812
the lifestyle of Hong Kong where you can
wake up in the morning,
850
00:47:00,812 --> 00:47:03,855
watch the sunrise on a mountain,
go into the CBD, have a mission,
851
00:47:03,855 --> 00:47:07,405
start lunch and then go and swim on a
white sand beach and watch the sunset.
852
00:47:07,405 --> 00:47:10,218
And all of these things are 15 minutes
away from each other.
853
00:47:10,218 --> 00:47:13,722
There's nowhere else on the planet,
even LA is going to take you an hour to
854
00:47:13,722 --> 00:47:15,890
do these things.
So that's quite a rare thing,
855
00:47:15,970 --> 00:47:18,970
the 16% income tax bracket, right?
So that's amazing.
856
00:47:18,970 --> 00:47:22,859
So people started to come back and,
and the second-half of last year,
857
00:47:22,859 --> 00:47:26,081
we saw that we have something called the
Top Talent Pass.
858
00:47:26,081 --> 00:47:30,137
And there was something like 80,
000 of these top talent Pass visas were
859
00:47:30,137 --> 00:47:33,192
issued last year and a similar amount
again this year.
860
00:47:33,192 --> 00:47:37,637
So we've gone from net emigration to net
immigration again. And then of course,
861
00:47:37,637 --> 00:47:41,304
the final piece is capital.
So the government about two years ago
862
00:47:41,304 --> 00:47:45,915
brought in the special tax exemption for
family offices where they basically get a
863
00:47:45,915 --> 00:47:46,359
benefit.
864
00:47:46,460 --> 00:47:50,856
So if they have over 30 million US in
assets which are invested in under the
865
00:47:50,856 --> 00:47:54,454
real estate market,
the stock market and a few other products,
866
00:47:54,454 --> 00:47:59,193
they get a significant tax benefit with
the tax down until like the single digits.
867
00:47:59,193 --> 00:48:03,133
That has been very successful.
I think there was something like over
868
00:48:03,133 --> 00:48:07,530
over 350 family offices with over 100
million US in assets have come to Hong
869
00:48:07,530 --> 00:48:11,013
Kong in the last 18 months on the back of
this policy alone,
870
00:48:11,013 --> 00:48:15,867
on top of new companies created on top of
people now coming into Hong Kong. So yeah,
871
00:48:15,867 --> 00:48:17,980
you're right. That was definitely the
872
00:48:18,120 --> 00:48:22,127
the issue for many years.
But I would say for the last 15, 18 months
873
00:48:22,127 --> 00:48:26,074
if I'm being generous,
Hong Kong has been on an ascendancy again.
874
00:48:26,074 --> 00:48:30,201
It is on an upward trajectory.
The economy is going to grow and it's
875
00:48:30,201 --> 00:48:34,627
going to expand this year. So yeah,
I would say that Would I say the good
876
00:48:34,627 --> 00:48:38,754
times are back? Not yet, no.
We're not back to where we were and say
877
00:48:38,754 --> 00:48:43,479
2018, but we are way better than we were,
you know, in the previous 6-7 years.
878
00:48:44,500 --> 00:48:47,913
It's amazing.
It is there a particular industry or
879
00:48:47,913 --> 00:48:52,999
industries that they're flourishing in a
moment and it like what are family
880
00:48:52,999 --> 00:48:54,939
offices looking to invest in?
881
00:48:56,000 --> 00:48:59,338
Sure. So in terms of industries,
Hong Kong is a financial services hub.
882
00:48:59,338 --> 00:49:01,981
So that is always going to be the biggest
industry here.
883
00:49:01,981 --> 00:49:05,829
We are an international financial centre
and it's still typically in the top three
884
00:49:05,829 --> 00:49:08,472
or four in the world when it comes to
financial centres.
885
00:49:08,472 --> 00:49:11,347
It has the world's biggest IPO market
last year, for example,
886
00:49:11,347 --> 00:49:14,732
the busiest IPO market in the world.
So you know, these things are, are,
887
00:49:14,732 --> 00:49:18,395
are facts. Where else is busy? E-commerce.
Ecommerce is busy because we are still on
888
00:49:18,395 --> 00:49:21,409
the doorsteps of China,
which is still the world's manufacturing
889
00:49:21,409 --> 00:49:23,588
hub.
The vast majority of the products that we
890
00:49:23,588 --> 00:49:27,390
use are still coming from China, right,
Even if there's this push back out of the
891
00:49:27,390 --> 00:49:27,530
US.
892
00:49:27,650 --> 00:49:31,227
So as Hong Kong, given its, um,
got an English common law jurisdiction
893
00:49:31,227 --> 00:49:33,861
and it's part of an international
financial economy,
894
00:49:33,861 --> 00:49:37,090
a lot of people like to still have their
companies in Hong Kong.
895
00:49:37,090 --> 00:49:41,016
And then the manufacturing is done in
China and then they're selling overseas.
896
00:49:41,016 --> 00:49:43,649
But it all comes out of the Hong Kong
logistics hub.
897
00:49:43,649 --> 00:49:47,426
So ecommerce is a big one as well.
And obviously e-commerce has been booming,
898
00:49:47,426 --> 00:49:50,804
financial services, fintech,
which is related to financial services
899
00:49:50,804 --> 00:49:54,084
and logistics as well.
We have a very busy International Airport,
900
00:49:54,084 --> 00:49:57,661
1 of the top four in the world.
We have a top five busiest ports in the
901
00:49:57,661 --> 00:49:57,960
world.
902
00:49:58,030 --> 00:50:00,355
So again,
logistics is a big hub here as well.
903
00:50:00,355 --> 00:50:03,917
What else? Looking further afield,
we see robotics has been a hot space
904
00:50:03,917 --> 00:50:07,727
again because of China is the world
leader in robotics still, truth be told,
905
00:50:07,727 --> 00:50:10,251
You know,
Tesla's obviously doing some good
906
00:50:10,251 --> 00:50:12,626
work,
but China was still kind of advanced when
907
00:50:12,626 --> 00:50:16,485
it comes to physical AI and robotics.
And Hong Kong is a beneficiary of that,
908
00:50:16,485 --> 00:50:19,800
again, for similar reasons,
because of our logistics and ecommerce
909
00:50:19,800 --> 00:50:22,423
benefits too.
So I'd say that's where I see it going
910
00:50:22,423 --> 00:50:24,995
forwards.
I know the government is putting a lot of
911
00:50:24,995 --> 00:50:28,410
money into medtech and biomedical
sciences, but I wouldn't say that
912
00:50:28,480 --> 00:50:32,161
it's a huge sector for us yet.
But I know that they are hoping to grow
913
00:50:32,161 --> 00:50:33,250
that looking further.
914
00:50:34,560 --> 00:50:39,314
That's awesome. Mark,
I know we're coming to the end of the
915
00:50:39,314 --> 00:50:42,688
interview.
Is there particular advice that,
916
00:50:42,688 --> 00:50:46,600
What's the best advice that you have ever
received
917
00:50:48,880 --> 00:50:51,690
to be a startup founder or in life, or
918
00:50:53,330 --> 00:50:55,890
I, I mean, typically, um,
919
00:50:56,680 --> 00:50:58,370
in life, um,
920
00:50:58,890 --> 00:51:02,533
like what's the best advice that,
that you could holding close,
921
00:51:02,533 --> 00:51:06,290
close to your heart, something that's, uh,
you referred to often.
922
00:51:07,730 --> 00:51:10,088
So look, I, I,
I work pretty hard and I think every
923
00:51:10,088 --> 00:51:12,536
startup founder works very hard and works
long hours,
924
00:51:12,536 --> 00:51:16,164
but there was always this risk of burnout.
You know, burnout is a real problem,
925
00:51:16,164 --> 00:51:19,973
particularly when you're involved in the
startup world. And I've been there myself.
926
00:51:19,973 --> 00:51:22,784
You know, during COVID,
I had a little bit of burnout and it,
927
00:51:22,784 --> 00:51:25,551
you know, it was tough,
but it took me some time to recover.
928
00:51:25,551 --> 00:51:27,999
So what I've learned, you know,
since then, you know,
929
00:51:27,999 --> 00:51:31,718
in the last three years in particular,
is that, yes, you know, you can work hard,
930
00:51:31,718 --> 00:51:34,484
but realistically,
what are you going to remember? You know,
931
00:51:34,484 --> 00:51:37,522
when you're a lot older,
it's going to be the time spent with your
932
00:51:37,522 --> 00:51:37,839
family.
933
00:51:37,980 --> 00:51:40,973
This is an old saying, but it's true.
And it's, it may be a cliche,
934
00:51:40,973 --> 00:51:42,954
but the time you spent with your loved
ones,
935
00:51:42,954 --> 00:51:46,212
the time you spent with your family is
really what you're going to value.
936
00:51:46,212 --> 00:51:49,691
And obviously we build these businesses
and we're passionate about what we do.
937
00:51:49,691 --> 00:51:52,024
And you put your blood sweat and your
tears into it,
938
00:51:52,024 --> 00:51:54,842
but never ignore or neglect your family
and the time with them.
939
00:51:54,842 --> 00:51:57,967
And So what does that mean?
I would say for me, when I look at my day,
940
00:51:57,967 --> 00:52:01,446
you know, I wake up in the morning, I,
I spend the first hour and a half with my
941
00:52:01,446 --> 00:52:03,955
son, you know,
I don't even check my emails and messages
942
00:52:03,955 --> 00:52:06,288
for that first hour of the day.
So that's important.
943
00:52:06,288 --> 00:52:08,050
You give yourself that mental headspace,
944
00:52:08,240 --> 00:52:11,340
spend the time with them.
Obviously then I'm straight into the work
945
00:52:11,340 --> 00:52:15,080
and working pretty much full on for the
whole day. But then I'll try and be home.
946
00:52:15,080 --> 00:52:18,637
Actually I'm home by 5:30 and my son's 3
1/2 and I spent time with him again,
947
00:52:18,637 --> 00:52:22,331
you know, till he goes to bed at 8:00.
And I value that time also with my wife.
948
00:52:22,331 --> 00:52:24,748
And then again,
I might be working for another 2 1/2
949
00:52:24,748 --> 00:52:26,891
hours.
So I'd say structure your day in such a
950
00:52:26,891 --> 00:52:30,174
way that if you're a startup founder,
it's work life integration, you know,
951
00:52:30,174 --> 00:52:33,640
it's not really work life balance.
You've got to integrate the two together
952
00:52:33,640 --> 00:52:36,741
into a mesh so that you can get
everything that you need out of it.
953
00:52:36,741 --> 00:52:38,520
You can feel fulfilled at home and also
954
00:52:38,590 --> 00:52:40,764
get everything done that you need to at
work.
955
00:52:40,764 --> 00:52:44,120
So I would say if you're a startup founder
look for work life integration,
956
00:52:44,120 --> 00:52:47,288
how do you structure it?
Break your day down to 30 minute segments
957
00:52:47,288 --> 00:52:50,975
or less and that's how you can kind of
get the best of both and and you won't
958
00:52:50,975 --> 00:52:52,110
burn out if you do that.
959
00:52:52,920 --> 00:52:54,670
So question, I mean
960
00:52:55,370 --> 00:52:58,470
3 1/2 year old son, 12 years married,
961
00:52:59,750 --> 00:53:04,813
you work a lot, you work hard.
How do you make sure that your,
962
00:53:04,813 --> 00:53:08,431
I mean your partner,
your wife in this case,
963
00:53:08,431 --> 00:53:14,540
is fully integrated into your life
because you said the family comes first.
964
00:53:16,910 --> 00:53:19,160
How do you assure that the priority stays?
965
00:53:20,320 --> 00:53:22,979
Yeah. I mean, look,
one of the good things is when I met my
966
00:53:22,979 --> 00:53:26,481
wife, I was already an entrepreneur.
I think some people do struggle when they
967
00:53:26,481 --> 00:53:29,318
go from that full time job as an employee
into an entrepreneur.
968
00:53:29,318 --> 00:53:32,820
You do see that there's this tension in
in family, in relationships, you know,
969
00:53:32,820 --> 00:53:36,056
because it can affect income,
it can affect stress levels. It, you know,
970
00:53:36,056 --> 00:53:39,292
it does create a lot of problems.
So I was probably lucky that I already
971
00:53:39,292 --> 00:53:41,242
met my wife.
I was already an entrepreneur.
972
00:53:41,242 --> 00:53:43,281
So this is all she's ever known is,
you know,
973
00:53:43,281 --> 00:53:46,960
one month maybe doesn't look the same as
the next month. Some would be phenomenal,
974
00:53:46,960 --> 00:53:49,531
some will be, you know, be scary. But,
you know, overall,
975
00:53:49,531 --> 00:53:50,639
was it upward trajectory?
976
00:53:51,330 --> 00:53:54,627
So let's say that's important. And yeah,
look, I'd say weekends.
977
00:53:54,627 --> 00:53:58,330
I do try and spend as much time as
possible on the weekends not working.
978
00:53:58,330 --> 00:54:00,867
You know,
there is this culture in startups that
979
00:54:00,867 --> 00:54:04,671
you've got to work all the time. In China,
they have something called 996,
980
00:54:04,671 --> 00:54:07,664
which is that you work 9:00 AM to 9:00 PM
six days a week.
981
00:54:07,664 --> 00:54:10,658
And now in Silicon Valley,
I heard they're doing it there.
982
00:54:10,658 --> 00:54:13,752
I don't think that's the way I I don't
think that's the way.
983
00:54:13,752 --> 00:54:17,557
I think that leads to burnout and
bitterness and resentment and maybe some
984
00:54:17,557 --> 00:54:21,666
unhappy people with a big bank balance.
I think that there are better ways to do
985
00:54:21,666 --> 00:54:21,920
that.
986
00:54:21,990 --> 00:54:25,072
You can find a bit more harmony in,
in what you're doing. So no,
987
00:54:25,072 --> 00:54:28,344
I think with my wife, as I said,
I do have some time with her in the
988
00:54:28,344 --> 00:54:31,663
mornings in the afternoons and,
and later on at night and then on the
989
00:54:31,663 --> 00:54:34,271
weekends and that seems to be a good
balance. Luckily,
990
00:54:34,271 --> 00:54:37,448
she's also a pretty hard worker too.
Maybe that's also part of it.
991
00:54:37,448 --> 00:54:39,961
That's awesome. Mark, do you,
do you work from home?
992
00:54:39,961 --> 00:54:42,332
Do you work from an office?
I have got an office,
993
00:54:42,332 --> 00:54:45,035
so I'm doing this call from a meeting
room in my office.
994
00:54:45,035 --> 00:54:48,069
I go to the office every day,
but at home we also have a study.
995
00:54:49,870 --> 00:54:50,480
Um,
996
00:54:51,690 --> 00:54:55,996
I really enjoyed the conversation.
You're easy to talk to. And I mean,
997
00:54:55,996 --> 00:55:00,241
obviously being in the recruiting
business, you're pitching everyday.
998
00:55:00,241 --> 00:55:04,669
So for you to write most statistics,
particularly like around Hong Kong,
999
00:55:04,669 --> 00:55:08,793
it just comes out easily.
It's almost like you're an ambassador for
1000
00:55:08,793 --> 00:55:09,399
Hong Kong.
1001
00:55:10,670 --> 00:55:12,850
Maybe, maybe one day,
maybe that's why I end up
1002
00:55:14,870 --> 00:55:17,914
I listen.
I really enjoyed the conversation.
1003
00:55:17,914 --> 00:55:22,380
Thank you so much, Mark. Cheers.
Thanks for your time. Yeah, bye.