Latest / SEA of Startups / 🎙EP3 Deep, Narrow, and Agentic: The New Stack That’s Quietly Taking Over
Transcript
- 0:01Welcome to the Sea of Startups,
- 0:04where Southeast Asia's startup game gets real.
- 0:08SPEAKER_00: No tech growth love,
- 0:10SPEAKER_00: no Silicon Valley cosplay,
- 0:12SPEAKER_00: just bold takes,
- 0:14SPEAKER_00: sharp turns,
- 0:15and unfiltered stories from founders and funders building the
- 0:19future of this
- 0:21SPEAKER_00: region.
- 0:22SPEAKER_00: I'm Kim,
- 0:23SPEAKER_00: the producer and co-founder of this relaunch,
- 0:26SPEAKER_00: and alongside Kevin Brocklin of Indelible Ventures,
- 0:29SPEAKER_00: we're pulling back the curtain on what it actually takes to raise,
- 0:34SPEAKER_00: build,
- 0:35SPEAKER_00: and win in the fastest growing markets in the world.
- 0:39SPEAKER_00: If you're in a game or want in, this is where the real talk happens.
- 0:51SPEAKER_00: If last week was about playing smart with your capital,
- 0:56SPEAKER_00: this week's about playing smart with your stack.
- 1:01SPEAKER_00: These days, we're seeing a quiet reckoning in how software gets built.
- 1:07Not just the AI that automates,
- 1:09but a genetic AI that adapts,
- 1:13decides,
- 1:14and acts like a teammate.
- 1:17It's showing up in smarter APIs,
- 1:20the connectors that act and not just connect.
- 1:24SPEAKER_00: And paired with focused tools, it's quietly transforming how teams work.
- 1:31SPEAKER_00: And this isn't the flashy side of tech, but it's a useful side.
- 1:37SPEAKER_00: And it's where the next wave is being built.
- 1:40SPEAKER_00: To unpack it,
- 1:42SPEAKER_00: Kevin sat down with Chris Burrell,
- 1:44deep tech operator and multi-exit founder to break down what
- 1:48agentic software
- 1:50SPEAKER_00: really means,
- 1:52SPEAKER_00: why the deep and narrow wins,
- 1:55SPEAKER_00: and how C founders can build ahead of the curve.
- 2:00SPEAKER_00: So let's get into it.
- 2:09SPEAKER_01: In this episode,
- 2:10SPEAKER_01: we're going to be diving into something that's on everyone's radar AI,
- 2:14SPEAKER_01: but not just any.
- 2:15SPEAKER_01: We're going to get a little bit of context in it.
- 2:17SPEAKER_01: I've got an expert here alongside me.
- 2:19SPEAKER_01: Our guest today is Chris Burrell.
- 2:22SPEAKER_01: He is the founder of Funk Ventures.
- 2:25And a former senior leader across a number of organizations has
- 2:28gone through
- 2:29SPEAKER_01: multiple exits and is based in Kuala Lumpur,
- 2:32SPEAKER_01: good friend of mine,
- 2:33SPEAKER_01: investing across APAC.
- 2:35Chris,
- 2:35maybe you can give a little bit more flavor to your background
- 2:37than I just did.
- 2:38SPEAKER_01: And thank you for being with us.
- 2:41SPEAKER_02: Thanks very much, Kevin, for the intro.
- 2:44And I must say,
- 2:44I'm a long-time listener,
- 2:46first-time caller of the podcast.
- 2:48SPEAKER_02: I'm very, very excited to be here.
- 2:50SPEAKER_02: I've been fortunate enough in my career.
- 2:52I moved out to Asia initially to Hong Kong 30 years ago and
- 2:55from Australia
- 2:56SPEAKER_02: originally and really found my legs out here as a technical leader.
- 3:00I was fortunate enough to work for four different software
- 3:04companies out here as
- 3:05SPEAKER_02: their head of Asia Pacific and
- 3:07SPEAKER_02: Those companies either IPO'd or were acquired.
- 3:10SPEAKER_02: So I went through four exits.
- 3:11SPEAKER_02: The last one,
- 3:12SPEAKER_02: I was the CIO of a company called Bluecoats,
- 3:15SPEAKER_02: acquired by Symantec for $4.5 billion.
- 3:18SPEAKER_02: So these companies became quite big through my career.
- 3:21And what I didn't like about the big companies was they were
- 3:24slow and hard and not
- 3:25SPEAKER_02: very innovative.
- 3:27SPEAKER_02: We actually did a lot of M&A and I was part of the M&A team.
- 3:30SPEAKER_02: And that's really where I saw the innovation happening.
- 3:35SPEAKER_02: And I really wanted to get back to that.
- 3:38SPEAKER_02: early stage where you're actually really disrupting and innovating.
- 3:43SPEAKER_02: So 2019,
- 3:44SPEAKER_02: I left the corporate world,
- 3:46started doing a bit of angel investing and sort of accidentally
- 3:51became a VC in
- 3:52SPEAKER_02: 2022.
- 3:53SPEAKER_01: That's how it started.
- 3:55SPEAKER_01: An accidental journey into becoming a VC.
- 3:58So tell me,
- 3:59because I know your thesis on Funk Ventures because you and I
- 4:02know each other well.
- 4:03SPEAKER_01: But for those people listening,
- 4:05tell a little bit about what your focus area is and why you
- 4:09accidentally became a
- 4:10SPEAKER_01: VC,
- 4:11SPEAKER_01: but I'm assuming intentionally chose that piece.
- 4:13SPEAKER_01: And I have a question.
- 4:14When I was the CIO at Blueco,
- 4:17we grew the company from 400 million revenue to a billion
- 4:20revenue.
- 4:22SPEAKER_02: across a period of four years.
- 4:23SPEAKER_02: And I was the economic buyer of software.
- 4:26I was the guy signing the check to Salesforce.com or the Oracle
- 4:31ERP suite and everything else.
- 4:34And you would sit down with a finance executive once a week for
- 4:37a few hours,
- 4:38SPEAKER_02: go through this massive spreadsheet and go,
- 4:41SPEAKER_02: wow,
- 4:41SPEAKER_02: we spent a lot on software.
- 4:43SPEAKER_02: It's really expensive.
- 4:44My boss,
- 4:45because we were owned by private equity,
- 4:47was saying,
- 4:47how do we cost,
- 4:48not spend more?
- 4:49So as an economic buyer of software,
- 4:52I knew I can't just go and buy another SaaS product.
- 4:57SPEAKER_02: If I want to, I've got to turn something else off.
- 4:59SPEAKER_02: So there's a very high bar in selling into me,
- 5:04a very high bar for these sales executives to walk into my
- 5:07office and sell me
- 5:08SPEAKER_02: something new.
- 5:09But what I did notice is that my engineers were signing up to
- 5:12smaller services,
- 5:14SPEAKER_02: things like Jira and Twilio.
- 5:17and adding it into their stack almost under the radar by using
- 5:21a corporate credit
- 5:22SPEAKER_02: card or what have you.
- 5:23They were kind of bypassing my cost-cutting mechanism and they
- 5:27were prototyping
- 5:27SPEAKER_02: these products and they would bring it to me and say,
- 5:29SPEAKER_02: hey,
- 5:29SPEAKER_02: Chris,
- 5:29we're using this API here to do SMSs and it's a lot cheaper
- 5:33than our existing
- 5:34SPEAKER_02: provider.
- 5:35So we're going to turn that off and we're going to save you
- 5:37this much money.
- 5:38SPEAKER_02: I was like, wow, these APIs are pretty cool.
- 5:41They allow people to sell quickly without having to go through
- 5:45a bureaucratic buying process.
- 5:47SPEAKER_02: So that initially attracted these companies to me as an entrepreneur.
- 5:52But then what happened is these companies became quite
- 5:56important and bigger.
- 5:57So you could do this deep and narrow strategy to get some
- 6:01initial traction,
- 6:02SPEAKER_02: but then you could land and expand.
- 6:03SPEAKER_02: Think of companies like Stripe where they've come to.
- 6:06SPEAKER_02: They were originally a very simple payment gateway.
- 6:09SPEAKER_02: They now do full stack transactions.
- 6:11SPEAKER_02: POS, treasury function, payout and pay in.
- 6:15SPEAKER_02: And they're a massive company now.
- 6:16SPEAKER_02: So that's what attracted me.
- 6:18It's like the business model because it was a way for an
- 6:21entrepreneur to build a
- 6:22successful company and not having to go through that painful
- 6:27process of selling a
- 6:28full stack SaaS product with a user interface that required
- 6:31change management into
- 6:33SPEAKER_02: a company.
- 6:34SPEAKER_02: So that's what attracted me to me initially.
- 6:37SPEAKER_01: Let me ask you one thing just definitionally.
- 6:40SPEAKER_01: Most of the people listening in are tech founders.
- 6:42SPEAKER_01: There's likely a wide understanding already,
- 6:45SPEAKER_01: but in API,
- 6:47can you explain like super simple layman terms in regards to
- 6:50the examples of the
- 6:51SPEAKER_01: Stripe,
- 6:52SPEAKER_01: Twilio,
- 6:52SPEAKER_01: et cetera,
- 6:53SPEAKER_01: how they operate and fit into TechStack as you referenced?
- 6:57SPEAKER_02: Sure.
- 6:58SPEAKER_02: Put very simply, APIs are how software talks to software.
- 7:03SPEAKER_02: Typically, you don't have a keyboard and a mouse.
- 7:07SPEAKER_02: You're using code, some kind of software.
- 7:12SPEAKER_02: For example, an iPhone has the Grab app inside the iPhone.
- 7:19The people that built that app,
- 7:21they don't want to go build their whole own mapping technology.
- 7:25SPEAKER_02: So there's an API into the Google Maps software they use to,
- 7:30SPEAKER_02: you know,
- 7:30draw the map and allow you to search an address and figure out
- 7:34the route between
- 7:35SPEAKER_02: address A and address B.
- 7:36SPEAKER_02: So that's an example.
- 7:38So the Google Map itself is embedded in that application and
- 7:44Google makes money
- 7:45SPEAKER_02: every time somebody uses...
- 7:47SPEAKER_02: The Grab app or the Uber app.
- 7:50SPEAKER_01: It's a way of not necessarily having to build each individual piece.
- 7:53You can use an API to call another software to get it kind of
- 7:56integrated in with it
- 7:58SPEAKER_01: without having to like build every single piece.
- 8:00SPEAKER_01: Although Grab got tired of paying the millions to Google.
- 8:03SPEAKER_01: So they started with Google.
- 8:04SPEAKER_01: Now they've since replaced.
- 8:08SPEAKER_01: They were doing it originally.
- 8:10Yeah,
- 8:11I'm sure they've got their own or they've probably partnered
- 8:13with somebody cheaper.
- 8:14And it happens in,
- 8:15you know,
- 8:15Twilio was kind of the gold standard in SMS API.
- 8:19SPEAKER_02: When you want to send an SMS for an OTP, use Twilio.
- 8:22SPEAKER_02: But there's lots of other alternatives now as well.
- 8:25SPEAKER_02: So that's the...
- 8:28SPEAKER_02: That's the example.
- 8:29SPEAKER_02: Carefully don't limit it to those examples.
- 8:31SPEAKER_02: There's things like plugins as well.
- 8:33Imagine a plugin to Shopify,
- 8:36like a widget that does a charity donation inside the checkout.
- 8:40I like those kind of companies as well because they're like not
- 8:43pure API plays,
- 8:44they're more platform plays where you're selling that widget
- 8:48across thousands and
- 8:50SPEAKER_02: thousands of different platforms as well.
- 8:56Super interesting how this has enabled a lot of software layers
- 8:59and the unbundling
- 9:00SPEAKER_01: of the monolith.
- 9:01SPEAKER_01: How do you see this evolving now?
- 9:03Your thesis is likely evolving in the era of more AI as we're
- 9:09talking about agents
- 9:10SPEAKER_01: that can talk between different software.
- 9:13SPEAKER_01: How are you seeing this evolution and how are you adjusting your mindset
- 9:17SPEAKER_01: considering this is your core niche?
- 9:21Yeah,
- 9:21just talking about it more philosophically,
- 9:25I like founders that are deep and narrow.
- 9:28SPEAKER_02: So they're very deep in a particular vertical and very focused.
- 9:33SPEAKER_02: So I invested in one company that does KYC.
- 9:39SPEAKER_02: They do KYC as a service and they broker multiple KYC providers.
- 9:44SPEAKER_02: They can do 400...
- 9:46SPEAKER_02: KYC providers across about 120 countries now,
- 9:50SPEAKER_02: I think,
- 9:51SPEAKER_02: companies called Frankie One,
- 9:53SPEAKER_02: they are very deep and they really just do KYC.
- 9:57SPEAKER_02: That kind of founder,
- 9:58they're very well positioned to now attack the new emerging
- 10:03market of agentic AI.
- 10:06I don't know,
- 10:07do you want me to give a quick example of what agentic AI
- 10:09means?
- 10:10SPEAKER_01: Yeah, let's do that.
- 10:12SPEAKER_01: I think people would benefit from a little bit of definitions here.
- 10:16SPEAKER_02: Yeah,
- 10:16so everyone understands how the typical kind of AI large
- 10:21language model products
- 10:22SPEAKER_02: like ChatGPT or Gemini works.
- 10:26You ask it a question and using its immense understanding of
- 10:30everything that's ever
- 10:31been written comes up with an answer that's usually interesting
- 10:36and accurate and
- 10:38SPEAKER_02: getting better every day.
- 10:39SPEAKER_02: And I think a lot of us use that for things like
- 10:41SPEAKER_02: creating content for English language or foreign language content,
- 10:45SPEAKER_02: images,
- 10:46SPEAKER_02: even movies now,
- 10:47SPEAKER_02: right?
- 10:47SPEAKER_02: If you think about the particular very deep and narrow specific topic,
- 10:53SPEAKER_02: like KYC,
- 10:54SPEAKER_02: an example,
- 10:54SPEAKER_02: the large language model itself cannot...
- 10:58SPEAKER_02: onboard my driver's license.
- 11:00SPEAKER_02: It didn't program my driver's license and address into its model,
- 11:04but it may want to be able to embed something into an answer
- 11:11that verified who I am
- 11:12SPEAKER_02: and using my driver's license.
- 11:14SPEAKER_02: So there's multiple ways you can do that.
- 11:17SPEAKER_02: One of the ways is Agentic AI.
- 11:18SPEAKER_02: Agentic AI is a
- 11:20SPEAKER_02: long running process that has the ability to do multiple tasks.
- 11:27SPEAKER_02: So the task might be, I want to give Chris a membership to my gym.
- 11:35and that's going to want to know where I live when I want to
- 11:38validate my driver's
- 11:39SPEAKER_02: license and some of my health data.
- 11:41SPEAKER_02: The agentic AI can talk to the KYC provider, do that.
- 11:45SPEAKER_02: It may also go talk to my,
- 11:47I might give it access to my health data and then issue me with
- 11:51a gym pass and then
- 11:53SPEAKER_02: send me a wallet card for my phone that's got my gym pass in it.
- 11:58SPEAKER_02: Normally as a programmer,
- 11:59SPEAKER_02: I program all those steps myself,
- 12:01SPEAKER_02: but agentic AI can actually go and do the whole thing
- 12:05SPEAKER_02: and come back and tell me.
- 12:06And it might have some humans in between that process that
- 12:09interact with it,
- 12:11SPEAKER_02: but essentially it's doing that whole task as a bundle.
- 12:13SPEAKER_02: And then as a user of that Agente AI service,
- 12:18SPEAKER_02: let's say I'm the gym owner and I employed that Agente AI process,
- 12:21SPEAKER_02: I might pay 10 bucks instead of 50 cents to use the API.
- 12:25That's more expensive,
- 12:27but it did the whole thing and I didn't have to worry about
- 12:31SPEAKER_02: going through those steps myself and almost think for itself,
- 12:34SPEAKER_02: which is kind of freaky and figure out,
- 12:36SPEAKER_02: okay,
- 12:37SPEAKER_02: this guy's this certain age.
- 12:39SPEAKER_02: I'm really not interested in what sports he plays.
- 12:41SPEAKER_02: I'm more interested in his health and the condition of his knees.
- 12:45SPEAKER_02: I can customize my gym package around that.
- 12:50SPEAKER_02: And maybe I want to offer him some stretch classes and physiotherapy.
- 12:55But if it was a younger person,
- 12:56maybe I would be offering them HIIT classes and
- 13:01maybe some invitation to our latest,
- 13:03you know,
- 13:04daytime disco dancing class or something.
- 13:06SPEAKER_02: So you could do very specific things.
- 13:08The AI agent would be making those decisions for itself and
- 13:13also taking feedback
- 13:15SPEAKER_02: and maybe refining it.
- 13:17SPEAKER_02: And when the answer came back to the gym owner using a keyword or a voice
- 13:21SPEAKER_02: interface,
- 13:21SPEAKER_02: not really sure yet how these things are going to evolve,
- 13:24SPEAKER_02: could say,
- 13:24SPEAKER_02: look,
- 13:24SPEAKER_02: nice try.
- 13:25SPEAKER_02: Can you please go back and modify it in these ways?
- 13:31SPEAKER_02: And it would do that,
- 13:33SPEAKER_02: but then not only would it do that,
- 13:34it would actually become meta because it would have learned
- 13:37from its mistakes.
- 13:39Rather than talking to a computer,
- 13:41it's like human to pseudo-human to computer.
- 13:44SPEAKER_02: Anyway,
- 13:44my thesis is that the same deep and narrow founder is in the
- 13:49best position to
- 13:50create AI agent itself or the correct interfaces to be able to
- 13:54do what I just
- 13:55SPEAKER_02: described.
- 13:56SPEAKER_02: I'm backing the founders who will have the
- 13:58the deep and narrow specialized skills within that vertical to
- 14:02transition their API
- 14:03SPEAKER_02: product to an authentic AI product.
- 14:06or at least become a service provider,
- 14:08which I think is going to become common.
- 14:09SPEAKER_02: I think Della said that the future of software is all agents.
- 14:14SPEAKER_02: I think he said that two weeks ago.
- 14:15SPEAKER_01: Yeah,
- 14:16SPEAKER_01: he said something in that any software that is basically a CRUD,
- 14:20SPEAKER_01: which is like the create,
- 14:22SPEAKER_01: read,
- 14:22SPEAKER_01: update,
- 14:23SPEAKER_01: delete sort of database interface,
- 14:26SPEAKER_01: that can be fully replaced by agents.
- 14:29SPEAKER_01: The logic makes sense because,
- 14:30SPEAKER_01: I mean,
- 14:30SPEAKER_01: historically we have had robotic process automation,
- 14:34SPEAKER_01: which is very simple rule-based.
- 14:36And it can be something as simple as if an email is received to
- 14:40this particular
- 14:41SPEAKER_01: email account,
- 14:42SPEAKER_01: automatically push it into my CRM.
- 14:44SPEAKER_01: It's an if-then sort of statement.
- 14:47SPEAKER_01: The majority of it has been very straightforward, rules-based.
- 14:51SPEAKER_01: Even on my email,
- 14:53SPEAKER_01: if I haven't received a response within five days,
- 14:56SPEAKER_01: send a follow-up email with the following text.
- 14:59SPEAKER_01: You can formulate that robotic process.
- 15:03SPEAKER_01: But when we start entering into this new era,
- 15:06SPEAKER_01: as you're describing it,
- 15:07there's a higher level cognitive order enabling it to actually
- 15:11think at multiple
- 15:13SPEAKER_01: levels along that process,
- 15:15SPEAKER_01: which may no longer be a linear flow.
- 15:18SPEAKER_01: It could end up being multifaceted, much more complex.
- 15:22SPEAKER_01: Yeah.
- 15:24There's an exciting time to be in the space,
- 15:25but it's still,
- 15:26as you say,
- 15:27deep and narrow.
- 15:28SPEAKER_01: So I'm imagining, and I'd like to hear your views.
- 15:32Does that mean we're entering the age of more verticalization
- 15:39and customization so
- 15:41SPEAKER_01: that we can enable that deeper,
- 15:43SPEAKER_01: narrow,
- 15:43SPEAKER_01: no longer one size fits all,
- 15:46SPEAKER_01: same CRM ERP for everyone,
- 15:48SPEAKER_01: no matter who you are.
- 15:49SPEAKER_01: Are we entering into that?
- 15:50SPEAKER_01: Or what is it going to look like?
- 15:54SPEAKER_02: Yeah.
- 15:55One of the things I always profess people with in terms of the
- 15:58era of AIs,
- 16:00I'm a pretty old guy.
- 16:02And I remember when the internet started,
- 16:04you know,
- 16:05the first browser came out in 1993.
- 16:08SPEAKER_02: Google wasn't even founded until 1998.
- 16:11SPEAKER_02: I always preface this with we're early stage people.
- 16:14SPEAKER_02: So in our portfolio, we try to invest in as many companies as we can.
- 16:21SPEAKER_02: You really don't know what's going to happen with the market,
- 16:23SPEAKER_02: with timing,
- 16:24SPEAKER_02: with luck,
- 16:24SPEAKER_02: with all kinds of things.
- 16:25But I think something like this is going to happen and I'm
- 16:28going to try to
- 16:30SPEAKER_02: make some guesses here.
- 16:32You're going to have the very large vertical players aren't
- 16:35going to go away.
- 16:35SPEAKER_02: So you're going to have the sales forces of the world,
- 16:38SPEAKER_02: the Google enterprise of the world,
- 16:40SPEAKER_02: even big behemoths like IBM and Oracle,
- 16:43SPEAKER_02: they aren't going to go away.
- 16:44But what you're going to have is a plethora of these deep and
- 16:48narrow vertical
- 16:49SPEAKER_02: plugins,
- 16:50SPEAKER_02: APIs,
- 16:51SPEAKER_02: authentic AI agents,
- 16:52SPEAKER_02: whatever you call them,
- 16:55SPEAKER_02: become the experts in their field.
- 16:58SPEAKER_02: And what they're really augmenting is services businesses.
- 17:02SPEAKER_02: So I see this as an equivalent of like a company that does maybe company
- 17:08SPEAKER_02: accounting,
- 17:08SPEAKER_02: like auditing a company account.
- 17:10SPEAKER_02: Right now it's done by human.
- 17:12SPEAKER_02: I think there'll be a lot of vertical AI agents that do most of the work.
- 17:16SPEAKER_02: There'll probably still be a guy at the end that signs off on it.
- 17:19SPEAKER_02: But it'll crawl through the balance sheet,
- 17:22the cash flow statement and profit and loss and come up with
- 17:26red flags and what
- 17:27SPEAKER_02: have you.
- 17:28SPEAKER_02: So the big guys are here to stay along with the big LLM.
- 17:32SPEAKER_02: They're obviously investing millions and billions of dollars into.
- 17:35But then you have these vertical players and there'll be
- 17:38thousands of them,
- 17:40SPEAKER_02: sort of like today's SaaS market.
- 17:42So today's vertical SaaS market will be replaced by vertical,
- 17:46authentic AI companies
- 17:48SPEAKER_02: that have their various specialities.
- 17:50SPEAKER_02: I think that's the way it's going to play out.
- 17:53That's an exciting time right now for founders who have
- 17:56specialist knowledge,
- 17:57SPEAKER_02: in particular vertical.
- 17:58I think the founders that I like the most are the ones that
- 18:01have got a real bee in
- 18:02SPEAKER_02: their bonnet about something.
- 18:03SPEAKER_02: They wake up in the morning and they have to fix it.
- 18:07SPEAKER_02: It's like, I can't believe this still works like this.
- 18:10SPEAKER_02: This is so stupid.
- 18:11SPEAKER_02: Let's go fix it.
- 18:13SPEAKER_02: So they will have a particular vertical special field that they work in.
- 18:18I invested in a company recently that does payment gateways for
- 18:21public transport.
- 18:22SPEAKER_02: Very esoteric field where you tap on tap off a bus.
- 18:26SPEAKER_02: But currently all that's done on premise hardware.
- 18:28SPEAKER_02: He's building the first world cloud-based system to do it.
- 18:30SPEAKER_02: He's in a great place to build agentic things like to tell your customers
- 18:34SPEAKER_02: LLM travel agent, please go buy me a train ticket to Penang.
- 18:40SPEAKER_02: And it will be able to just do that.
- 18:41SPEAKER_02: So I think things are going to play out.
- 18:44SPEAKER_02: You're going to divert the horizontal layer.
- 18:46Most of those guys are probably already either established or
- 18:51extremely well funded.
- 18:52SPEAKER_02: And then you're going to have thousands of these vertical players.
- 18:55SPEAKER_01: Do you see out of curiosity,
- 18:56SPEAKER_01: because I like what you're talking about,
- 18:58SPEAKER_01: where it's not necessarily the flashy side of things.
- 19:01SPEAKER_01: It's about solving real questions.
- 19:02SPEAKER_01: problems, getting down into the nuance of it.
- 19:06SPEAKER_01: But when we talk about horizontal versus vertical,
- 19:10SPEAKER_01: historically,
- 19:10SPEAKER_01: we've had a very thick horizontal layer.
- 19:13SPEAKER_01: Now,
- 19:14as that starts to thin out because of the availability of tools
- 19:19and resources that
- 19:20SPEAKER_01: we can now go deeper and more narrow,
- 19:22SPEAKER_01: the customization aspect of it.
- 19:26The couple of things that I question presently in regards to
- 19:31what does the future
- 19:32SPEAKER_01: hold is a little bit twofold.
- 19:34SPEAKER_01: One is those entrenched players are very good at doing generic use cases.
- 19:41SPEAKER_01: So we have that horizontal layer.
- 19:44But as we start having more prompt-based coding tools that can
- 19:50prompt to action,
- 19:51SPEAKER_01: prompt to build out agents,
- 19:55SPEAKER_01: So the twofold aspect is,
- 19:57SPEAKER_01: are more enterprises doing DYI solutions,
- 20:02SPEAKER_01: do-it-yourself solutions,
- 20:03SPEAKER_01: leveraging on that horizontal layer,
- 20:07SPEAKER_01: then do-it-yourself for the customization.
- 20:09SPEAKER_01: And then when the elephant walks the grasshopper's dance,
- 20:12SPEAKER_01: like the moment OpenAI or Google or Anthropic,
- 20:16SPEAKER_01: the moment their Dev Day conferences,
- 20:19how many AI companies all of a sudden are probably sitting in
- 20:23their offices saying,
- 20:24SPEAKER_01: ah,
- 20:24SPEAKER_01: well,
- 20:25SPEAKER_01: Maybe we're obsolete now.
- 20:26SPEAKER_01: How do you see the evolution?
- 20:27That's the point that I'm trying to get at is finding a
- 20:32defensible space when it
- 20:35SPEAKER_01: seems like barriers to entry are lowering.
- 20:38SPEAKER_01: Yeah.
- 20:38SPEAKER_02: I mean...
- 20:40I think about this a lot in terms of moats and a company like
- 20:44OpenAI can wipe out a
- 20:46SPEAKER_02: bunch of companies overnight with a new release.
- 20:48SPEAKER_02: Keeps me awake at night, obviously.
- 20:50SPEAKER_02: I think where the differentiation lies,
- 20:54SPEAKER_02: I think the barrier to entry,
- 20:56SPEAKER_02: is something that's unique in terms of its data.
- 20:59SPEAKER_02: So OpenAI can train itself on legal documents,
- 21:04SPEAKER_02: It has access to many, many legal documents.
- 21:07SPEAKER_02: So whenever I see a legal startup that's claiming to,
- 21:10SPEAKER_02: I can trade an NDA or whatever,
- 21:13SPEAKER_02: I think OpenAI will be able to do that very shortly.
- 21:16SPEAKER_02: That's not defensible.
- 21:17SPEAKER_02: But when someone is...
- 21:19SPEAKER_02: touching some real-world ecosystem,
- 21:23SPEAKER_02: whether that be data,
- 21:25like I'm working at a company right now that does electricity
- 21:28calculations based on
- 21:30SPEAKER_02: real-time information coming out of the grid.
- 21:32SPEAKER_02: OpenAI can't do that, right?
- 21:34SPEAKER_02: So something that's connected to the real world is a good example.
- 21:37SPEAKER_02: Something that's connected to IoT devices, like tapping onto a bus,
- 21:44SPEAKER_02: I look for some kind of ecosystem in the space of stable coin.
- 21:50SPEAKER_02: Tech stacks are very interesting to me right now.
- 21:53The things that open up or the incumbents aren't going to
- 21:55disrupt because there is
- 21:57SPEAKER_02: a defensible moat around either the data or the physical aspects or the
- 22:02SPEAKER_02: cryptographic aspects of that tech stack.
- 22:05SPEAKER_01: So I look at the ecosystem is very important.
- 22:08SPEAKER_01: Let me tie this back into the region where we're both living.
- 22:11SPEAKER_01: My geographic focus is a little bit more narrow than yours,
- 22:14SPEAKER_01: but speaking from this part of the world in APAC,
- 22:18Are you seeing any difference in how to drive success relative
- 22:24to Silicon Valley?
- 22:25SPEAKER_01: Obviously you lived in Silicon Valley,
- 22:27SPEAKER_01: you know,
- 22:27do you see a difference based upon the geography and what
- 22:30should founders here be
- 22:33SPEAKER_01: thinking about?
- 22:35SPEAKER_02: Yeah, it's definitely an interesting question.
- 22:39SPEAKER_02: Because I'm early stage, it's all about the founder.
- 22:42SPEAKER_02: It's all about their personality, their drive, their passion.
- 22:44SPEAKER_02: A lot of the fields I've invested in require deep knowledge.
- 22:49SPEAKER_02: I've tended to find companies in either Australia,
- 22:52SPEAKER_02: New Zealand,
- 22:53SPEAKER_02: or Singapore,
- 22:54SPEAKER_02: but I don't think that's necessarily the right way to think about it.
- 22:57SPEAKER_02: I think many founders in other markets in Southeast Asia,
- 23:01SPEAKER_02: Malaysia,
- 23:01SPEAKER_02: Thailand,
- 23:02SPEAKER_02: Philippines,
- 23:02SPEAKER_02: Indonesia,
- 23:03have very specialized skills in other areas like agrotech or
- 23:09even things like
- 23:09SPEAKER_02: health tech,
- 23:10SPEAKER_02: recycling.
- 23:11SPEAKER_02: I think there's a lot of potential here.
- 23:14SPEAKER_02: It's really a mindset.
- 23:16I'll give you an example about Australia and their breakout
- 23:19moment a few years ago.
- 23:21This company came out of Sydney called Atlassian,
- 23:23which most people probably identify with Jira.
- 23:26SPEAKER_02: Yep.
- 23:27That was a big deal because it created billions of dollars
- 23:29worth of wealth.
- 23:30And you had people coming out of that company and setting up
- 23:32other businesses.
- 23:33SPEAKER_02: Australia's now had big exits like Afterpay was bought by Square.
- 23:38SPEAKER_02: Canva, although it's still a private company.
- 23:41SPEAKER_02: A lot of wealth created there nonetheless.
- 23:42SPEAKER_02: A lot of wealth created there.
- 23:43SPEAKER_02: So there's quite a number of examples.
- 23:46So the ecosystem in Australia,
- 23:47the entrepreneur has crossed that mental threshold.
- 23:50SPEAKER_02: Yes, I can build a multi-billion dollar business.
- 23:53SPEAKER_02: I think Singapore,
- 23:54SPEAKER_02: to a lesser degree,
- 23:55SPEAKER_02: with Grab,
- 23:56SPEAKER_02: even though the Grab founders were from Malaysia.
- 23:59SPEAKER_02: But I think it's a mindset, frankly.
- 24:02SPEAKER_02: The world is a much smaller place now.
- 24:05SPEAKER_02: I mean, that's a bit of a cliche, but it's true.
- 24:08SPEAKER_02: But if you have a particular type of...
- 24:10SPEAKER_02: knowledge and access particular type of industry or data or ecosystem,
- 24:14SPEAKER_02: you can be living anywhere now.
- 24:16SPEAKER_02: I think that's not a barrier.
- 24:17SPEAKER_02: I think there's really a mindset and the support of the ecosystem.
- 24:21SPEAKER_02: Sydney,
- 24:21SPEAKER_02: Melbourne,
- 24:21SPEAKER_02: those cities in Australia have massive ecosystems,
- 24:25SPEAKER_02: a lot of great talent in terms of programmers and AI professionals.
- 24:31SPEAKER_02: Malaysia's lagging a little bit in that area.
- 24:35SPEAKER_02: Singapore relatively is doing okay.
- 24:38SPEAKER_02: The population of Singapore is about 6 million.
- 24:40SPEAKER_02: So, you know, Sydney, Melbourne's about the same, 6 million.
- 24:43SPEAKER_02: They also have that kind of mentality.
- 24:45SPEAKER_02: There's not a lot of examples coming out of Singapore either.
- 24:48I think a lot of successful Singaporean entrepreneurs perhaps
- 24:51moved to Silicon Valley.
- 24:54SPEAKER_01: But I don't think you have to.
- 24:55There's definitely a greater concentration of VC dollars
- 24:59sitting in Silicon Valley.
- 25:00SPEAKER_01: So oftentimes people see it as the pathway to raise rounds.
- 25:04SPEAKER_01: Yes.
- 25:05But certainly it's not a necessity in order to build a
- 25:09successful business.
- 25:11SPEAKER_01: I'm quite aligned with you on that.
- 25:13SPEAKER_01: Let's do a couple of wrap-up questions.
- 25:16SPEAKER_01: And I want to get one that's more like,
- 25:18SPEAKER_01: inspirational for the founders that may be listening.
- 25:22So if you had to do all the action for them,
- 25:25what should they be thinking about?
- 25:28SPEAKER_01: First and foremost,
- 25:29knowing what you know and based upon your vision for where the
- 25:33market is going.
- 25:37SPEAKER_02: If you're building a product, that's the pathway to success.
- 25:41That product has to be 10x better than anything else you're up
- 25:44against,
- 25:45not 2x better.
- 25:47SPEAKER_02: Think out of the box.
- 25:48SPEAKER_02: You've got to be very contrarian in a way.
- 25:51SPEAKER_02: Really,
- 25:51really got to search deep within your own knowledge and within
- 25:54your circle of
- 25:55SPEAKER_02: friends and finding that first initial customer or customers.
- 26:00SPEAKER_02: Your product has to be freaking amazing.
- 26:04SPEAKER_02: So amazing that people will go,
- 26:05SPEAKER_02: well,
- 26:05I'm just going to start using that because it's so much better
- 26:07than anything else.
- 26:08SPEAKER_02: That's the really call to action is don't think 2X,
- 26:11think 10X in terms of your mindset around the products that
- 26:15you're building.
- 26:16SPEAKER_02: You're not trying to create the next cardboard box.
- 26:19SPEAKER_02: You're trying to create the next way to do international bank transfer.
- 26:25SPEAKER_02: Look at a company like Wise, right?
- 26:28SPEAKER_02: Yeah.
- 26:29I mean,
- 26:30there's still some limitations,
- 26:34but better than before they existed.
- 26:36SPEAKER_01: International transfers remains a pain point, but certainly better.
- 26:40SPEAKER_02: Yeah, so my photo action is think...
- 26:45SPEAKER_01: 10x, not 2x.
- 26:46SPEAKER_01: Yeah.
- 26:47SPEAKER_01: Find real problems to solve.
- 26:49SPEAKER_01: It has to be 10x better.
- 26:51SPEAKER_01: And like the value proposition,
- 26:53SPEAKER_01: especially in the B2B space,
- 26:54SPEAKER_01: are you going to make somebody more revenue,
- 26:56SPEAKER_01: saving them more costs?
- 26:57SPEAKER_01: Ideally do both.
- 26:59SPEAKER_01: And I would lump efficiency gains into saving the cost of
- 27:02SPEAKER_01: an increasing revenue bucket as well.
- 27:04SPEAKER_01: And I love how you talked about starting niche, going deep and narrow.
- 27:09SPEAKER_01: You can,
- 27:10SPEAKER_01: you know,
- 27:10SPEAKER_01: land and expand,
- 27:11SPEAKER_01: find that wedge,
- 27:12SPEAKER_01: that deep narrow,
- 27:13SPEAKER_01: and then you end up building out from there.
- 27:15SPEAKER_01: This has been a fantastic conversation.
- 27:17SPEAKER_01: Look,
- 27:17SPEAKER_01: Chris,
- 27:18SPEAKER_01: where can people find you or Funk Ventures if they want to connect,
- 27:22SPEAKER_01: pitch you,
- 27:23SPEAKER_01: or just hear your thoughts further?
- 27:27Just hit me up on LinkedIn,
- 27:28Chris Burrell,
- 27:29LinkedIn,
- 27:29or email chris at funk.vc.
- 27:33SPEAKER_01: Fantastic.
- 27:33SPEAKER_01: Thank you very much again, Chris.
- 27:35A big thank you for joining us and making sense of the world of
- 27:39APIs,
- 27:40agentic AI.
- 27:42I've learned a lot in regards to deep and narrow where the
- 27:46trajectory is going and
- 27:47SPEAKER_01: look forward to hearing more and seeing how this journey continues.
- 27:53SPEAKER_01: Thanks, Kevin.
- 27:53SPEAKER_01: It was my pleasure to be on the show.
- 28:00SPEAKER_00: And that's a wrap for this week on Sea of Startups.
- 28:05If you are a founder placing your next bet,
- 28:08the answer might be deep,
- 28:10narrow,
- 28:11and agentic.
- 28:13SPEAKER_00: From a 2 billion funding rebound skewed by mega deals,
- 28:17SPEAKER_00: to Jakarta staking its claim as an AI compute hub,
- 28:22SPEAKER_00: to Malaysia's policy push to reboot its VC engine,
- 28:27SPEAKER_00: Southeast Asia's playing its next hand.
- 28:31SPEAKER_00: So next week,
- 28:32SPEAKER_00: we've flipped the mic again for our monthly roundup,
- 28:36SPEAKER_00: decoding what's been brewing across the region and
- 28:40the capital flows,
- 28:41the founder moves,
- 28:42and the infra-arms race reshaping the game.
- 28:47Follow us on Spotify,
- 28:50Substack,
- 28:51and of course,
- 28:52LinkedIn,
- 28:53where the real convos happen.
- 28:56SPEAKER_00: And hey, this message won't self-destruct, but your sass tech might.
- 29:03SPEAKER_00: See ya on the next one.