Who Is Nic Baird?
Nic Baird is 28 years old, from St. Petersburg, Florida, and spent most of his life preparing for a career in competitive sailing. His father is in the sailing hall of fame. Nic won national championships and competed at world championships while at Yale. The obvious path was professional sailing.
Instead, he "stumbled into startup land" and co-founded Koah Labs with Mike Choi and Herrick Fang after a residency at South Park Commons. The company they built — a native advertising platform for AI applications — has raised $26 million (including a $20.5M Series A led by Theory Ventures in February 2026) and works with publishers like Luzia, Liner, and DeepAI, alongside advertisers including Progressive, Choice Hotels, and Intuit.
The origin wasn't abstract. Nic watched friends at South Park Commons build AI apps that hit 40,000 or 50,000 engaged users — and then shut down because the unit economics didn't work. Subscriptions converted at 3-5%. Inference costs were brutal. Display ads destroyed the user experience. "Why don't they deserve to live?" he asked during our conversation. That question became Koah Labs.
The Archetype: The Creator
The Creator
The Caregiver
Tests & Allies
Nic sees broken systems and builds replacements. Display ads are crude — "this giant iPhone ad on the New York Times, this is just not additive to my experience in any way" — so he built native ones that match the publisher's font, color scheme, and conversational context. AI monetization infrastructure didn't exist, so he created it: targeting, brand safety, copy generation, advertiser sales, all wrapped in an SDK that publishers can integrate in two hours.
His secondary archetype is The Caregiver. The publisher-first mentality isn't marketing language — it's operational policy. Koah only fills 30-35% of available ad slots, by choice, because showing irrelevant ads would hurt users. The team flags issues to publishers before they notice. They run head-to-head A/B tests against competitors and share engagement metrics openly. When Luzia tested Koah against AdMob, user experience degradation was negligible with Koah — over 10% with AdMob's display ads.
"We're not thinking, how do we juice as many dollars out of this in the next six months as we can? We're thinking, how can we build together over the next five to ten years with the publishers in our network."
The Hero Match
Prometheus
In the myth, Prometheus saw mortals shivering in the cold and dark. The gods had fire but wouldn't share it. So he stole it and brought it down to them — not for glory, but because he couldn't stand watching them suffer.
Nic's version of fire is sustainable monetization. He watched AI companies die — products with tens of thousands of engaged users, shutting down because subscriptions alone couldn't cover inference costs. Perplexity tried ads at a $50 CPM and "shut the project down." Character AI tried full-screen interstitials and got backlash from their Reddit community. The existing tools (AdMob, AdSense) were designed for static web pages, not conversational interfaces. The fire existed, but it was the wrong kind for these mortals.
So Nic built a new kind of fire — native, relevant, non-intrusive. And like Prometheus, he didn't just hand over raw flame. He built the whole fire-making kit: the targeting engine, the brand safety layer, the copy generation system, the advertiser relationships, and documentation simple enough to copy-paste into Claude.
Ted Lasso — Ted Lasso, Season 1
Not the coaching role — the superpower. Ted walks into a room full of skeptics who've already decided he'll fail, and he wins them over by genuinely caring about them more than they expect.
Nic walks into publisher meetings where developers have been burned by terrible ad experiences and says "what if ads actually weren't bad?" The fast-talking enthusiasm, the publisher-first obsession, the proactive communication — "we tell them when there's an issue before they've realized there's an issue" — it's Ted Lasso energy through and through.
Season 1 specifically: still proving the model, still converting skeptics one publisher at a time, still earning belief. The wins are starting to come (2% CTR across the network, four times industry average; $20.5M Series A from Theory Ventures), but the story isn't finished yet. That's exactly where Nic is.
"We've never heard of users complaining... most folks are just like, hey, this is awesome that we don't have to worry about this."
The Story Behind Koah Labs
It started at South Park Commons. Nic and his co-founders were watching a generation of AI companies bloom and die. Developers would build something useful — children's storytelling apps, vertical search for construction workers, product recommendation tools — and reach 40,000 or 50,000 engaged users. Then they'd look at the math. Subscriptions converting at 3-5%. Inference costs that scale with engagement. The more popular your product, the faster you burn.
Some tried AdMob — display ads, full-screen interstitials, the blunt instruments of web monetization. "Sometimes it was okay and sometimes you could do a drop shipping thing and you could kind of sweep by." But it was clear: the right solution didn't exist. Meanwhile, Nic's wife worked in marketing, and every marketer they talked to was asking the same question: "What do we do about AI?"
"We really just put two and two together. Advertisers want to get into AI and AI companies need to figure out how to get paid. This seems like an obvious solution to just bring them together."
That moment — two needs colliding into one company — is the origin of Koah Labs. The insight wasn't technically complex. It was a pattern that required someone standing at the exact intersection of AI builders and marketing professionals to see clearly.
The Founder's Journey and The Company's Journey
Competitive sailor at Yale, expected to go pro like his father. Stumbled into startups. Found South Park Commons. Watched friends' companies die. Built the tool to save the next generation. Now leading a 12-person team through the "Tests and Allies" phase — proving the model works, one publisher at a time.
Subscription optimization idea (can we get conversion from 3% to 4%?) → realization that advertising is the real answer → native ad SDK for AI apps → $5M seed from Forerunner → publisher network (Luzia, Liner, DeepAI) → 2% CTR, four times industry average → $20.5M Series A from Theory Ventures → expanding into the "dynamic internet" (traditional publishers adding AI interfaces).
The Creator archetype drives both arcs. Nic didn't just pivot from sailing to startups — he applied the same builder instinct to a new domain. The company didn't just build an ad product — it built an entire ecosystem (SDK, targeting, brand safety, copy generation, advertiser sales) because the Creator can't ship something half-finished.
How Nic Leads
Nic builds consensus by default. His co-founders show up early in every story — "my co-founders, Mike and Eric and I" — and decisions are narrated as collective discoveries: "we saw... we started... we put two and two together." Publisher relationships are genuine partnerships: weekly calls, shared Slack channels, head-to-head A/B tests with open results. He talks about building "together over the next five to ten years."
But underneath the consensus language, there's founder conviction that doesn't bend. When he shifts from "we" to "I" — "I believe in freedom and I believe in choosing what you want to do with your life. And I'd rather do the thing that I want to do and that I feel like is important for the world to have and fail than choose something different" — the ownership is absolute. He knows what he's building and why, and he's made peace with the risk.
Founder Superpowers
Making the Complex Invisible
Nic took a system with five technical layers (intent classification, brand safety, semantic matching, copy generation, quality verification) and made it feel like a two-hour integration. When asked to explain Koah at three levels — elementary schooler, college student, professional — he had a framework ready that made a genuinely complicated product feel obvious. When he broke down the economics, he compressed an entire business model into one sentence: "queries times fill rate times $5 CPM." Most founders in ad-tech make their product sound harder than it is. Nic makes his sound easier — and then it actually is.
Building Trust Before Building Revenue
Most ad companies lead with CPMs. Nic leads with user experience protection. He only fills 30-35% of available ad slots — by choice — because showing an ad that might be irrelevant is worse than showing nothing. He tells publishers about SDK issues before they even notice. He ran head-to-head tests against AdMob with Luzia and shared the results transparently. This patience-first approach is rare in ad-tech, and it's why publishers trust him enough to put his SDK inside their product.
Seeing the Connections Others Miss
Nic saw three separate signals — marketers anxious about AI, AI developers dying from bad unit economics, and Google's historical transition from display to search ads — and synthesized them into one thesis. He does this repeatedly: mapping Perplexity's $50 CPM failure to his own pricing strategy, mapping Open Evidence's $150 million revenue on one million doctors to the potential for indie developers, mapping the "dynamic internet" trend (traditional publishers adding AI interfaces) to his expansion roadmap. He doesn't just spot patterns — he builds products on top of them.
What It's Like to Work with Nic
Nic moves fast and expects you to keep up. He talks quickly, thinks in systems, and builds momentum as he goes — sentences get longer, examples stack on top of each other, tangents become supporting arguments. His brain, by his own admission, "moves even faster" than his speech. If you thrive in high-energy environments where ideas move at speed, this is your founder.
He's genuinely team-oriented — not performatively. Every story includes his co-founders by name, and decisions are framed as collective. Publisher relationships get weekly calls and dedicated Slack channels, not quarterly check-ins. When something breaks on the SDK side, Koah's team tells the publisher about it before they've noticed. That level of proactive care extends inward too.
What you won't find is a lot of self-doubt or hand-wringing. Nic has deep conviction about what he's building and why. User experience is non-negotiable. Advertising as a monetization model for AI is inevitable. The indie developer is worth fighting for. If you want a founder who second-guesses every strategic direction, Nic isn't that. If you want one who knows exactly where the ship is headed and moves fast to get there, he is.
"We love helping smaller companies grow and become sustainable on the monetization front. We solve so many of the problems that come with advertising."
Why This Matters (For You)
If You're an AI Developer Struggling to Monetize
Nic's entire thesis is built around your problem. Subscriptions convert at 3-5%. Inference costs scale with engagement — the more popular your product, the faster you burn. He watched this kill companies at South Park Commons and built Koah specifically to fix it. The economics are straightforward: $5 CPM average, 30-35% fill rate, two-hour SDK integration. The more interesting insight is his advice on timing — don't monetize first, get 10,000 engaged users first, then bring in the revenue layer. "Focus on making something that people really, really, really engage with" before worrying about ads. That sequencing matters more than the monetization method.
If You're an Engineer Building Ad Infrastructure
Nic's most useful insight is about scope. Building a basic ad server takes "a couple of months" for good engineers. But the full stack — brand safety, semantic targeting, copy generation, hallucination detection, advertiser sales, programmatic demand integration — took 12 engineers a year of full-time work. And that's just the technology. The go-to-market side (selling Progressive, Choice Hotels, Intuit) requires an entirely separate capability. His framework for thinking about build-vs-buy in ad-tech is grounded in real numbers, not hand-waving. If you're evaluating whether to build your own ad system, his breakdown of what's actually hard is worth understanding.
If You're Early in Your Career
Nic was supposed to be a professional sailor. His father is in the hall of fame. He won national championships at Yale. The path was obvious — and he walked away from it. Not dramatically, not with a grand plan. He "stumbled" into startups. At 28, he's running a company that's raised $26 million. His book recommendation for 20-year-olds is The Alchemist — a story about searching for who you are. His career advice, distilled: "I'd rather do the thing that I want to do and fail than choose something different." The lesson isn't "follow your passion." It's that the right path might not be the obvious one, and that's okay.
If You're Considering Joining Koah Labs
Nic leads through consensus and speed. Expect weekly calls, shared Slack channels, and a founder who flags problems before you've noticed them. The team is 12 people as of early 2026, which means every engineer has a direct line to the CEO and the product decisions are still small enough to feel owned. The core tension — building at scale while maintaining care for every publisher and user — means you'll be working somewhere that genuinely agonizes over whether a 30-35% fill rate is too high. If you've worked in ad-tech and hated it, Koah is trying to be the version you wish existed. If you've never worked in ad-tech, you'll be learning an industry that's about to be rebuilt from scratch for AI.
Go Deeper
The full conversation with Nic Baird is on its way. Check out other episodes in the meantime.
Join Koah Labs
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