He Raised $26M Betting on Probabilities, Not Guesses | Koah Labs, Nic Baird
In a Nutshell
Nic Baird built Koah Labs on probabilistic thinking: gathering available information, acknowledging unknowns, and placing scaled bets on likely outcomes rather than seeking certainty. This approach shaped his shift from competitive sailing to founding an AI ad platform, which raised $26M by betting on ad monetization when the market still favored subscriptions. The key lesson is that customer signals and expected value calculations beat market sentiment, and founders succeed by reducing friction while staying in environments that amplify their driving forces.
These notes were generated by AI and may contain inaccuracies.
Technology adoption and market sentiment have shifted dramatically. People who were once very cautious about sharing information with an agent now readily grant tools like OpenAI access to their entire computer. Exact market outcomes remain unknowable because not all information about competitors or product success is available. The correct approach is to assign probabilities to possible outcomes rather than attempting perfect prediction.
In sailing, competitors constantly face decisions with incomplete information. A sailor may be highly confident the wind will shift 5° left within five minutes and therefore want to position on the left side of the course. When the rest of the fleet sails the opposite direction, the sailor must evaluate whether others possess superior information. Even with high personal confidence, the high downside risk of being wrong leads to a mitigated decision that balances statistical support against crowd positioning.
The best decisions for career, life, and business follow the same pattern: gather available information, acknowledge missing information, and place a statistical bet on the most likely outcome. The amount invested scales with confidence level. This approach replaces pure instinct with math- and statistics-supported reasoning.
Nic Baird is CEO of Koah Labs, an ad monetization platform for AI tools. The company has raised $26 million and reached single-digit millions of users with rapid growth.
Founding a company is a high-variability decision but low-risk because the founder acquires skills and becomes a more valuable asset regardless of outcome. Sailing consumed nearly all of Baird's time growing up; his father raced professionally. By college, Baird had competed at youth championships in two classes, finishing third and fourth, and had already won three national championships.
Chess is theoretically solved; perfect play is possible. Poker contains too many confounding variables and operates under high uncertainty, so even perfect strategy can lose due to randomness. Sailing decisions occur constantly under uncertainty. In a sea-breeze environment, land heats faster than water, creating predictable wind patterns. In the San Francisco Bay Area, the San Joaquin Valley reaching 100°F while the Pacific Ocean sits at 60°F generates a powerful, directionally predictable sea breeze. Knowledge of these patterns allows positioning before the breeze arrives.
When 80% confident it will rain, carrying an umbrella is low-cost insurance. When only 10% confident, the inconvenience outweighs the benefit. The same logic applies to high-stakes choices: Baird declined professional sailing opportunities that paid to race because he judged the expected value of pursuing business higher.
A 1% chance of earning a trillion dollars yields an expected value of $10 billion. A 100% chance of earning one million dollars has lower expected value. Baird applies this framework across life, business, and sailing decisions.
After deciding to return to builder-dense environments, Baird sought in-person San Francisco opportunities. He initially targeted Series B or C startups but discovered South Park Commons, a founder community backed by a venture firm. He had wanted to build independently since childhood but doubted his capability until exposure at South Park Commons demonstrated the path.
Two forces govern building: a driving force of curiosity, excitement, desire to solve problems, and desire to help others; and a restraining force of doubt, friction, and perceived difficulty. Increasing the driving force can occur through deep personal motivation, such as learning to cook for a loved one who values home-cooked meals. Finding customers who actively request the product creates powerful external motivation that pulls ideas into existence.
Friction reduction occurs through mental shifts, community encouragement, and improved tooling. Current tooling has lowered barriers significantly. Baird met co-founders Mike and Heric at South Park Commons; they were the fastest builders he had encountered, shipping monthly. After participating in a hackathon with them, the group decided to start a company together.
Being surrounded by other builders who are curiosity-driven and encouraging is one of the most important factors for sustained building. Baird credits most of the original idea for “AdSense for AI” to co-founder Mike, who conceived it a year earlier. The market was not ready in 2024; consumer VCs at TC Disrupt were preaching subscription monetization and declaring ads dead.
At the time, the prevailing view was that AI would monetize primarily through subscriptions. However, inference costs are extremely high. One bootstrapped founder building an AI storytelling tool for parents generated strong engagement and fan mail yet lost tens of thousands of dollars monthly despite having a subscription; the business ultimately shut down. Koah Labs was built to solve sustainable revenue for AI developers so they can scale without being destroyed by inference-cost gaps.
Doubt increases when market observers see current trends, but it decreases when customers actively request the product and express willingness to pay. Direct customer conversations provide a more accurate 6-to-12-month forward view than broad market sentiment.
A recent test capped ad frequency at one-tenth the previous level. User engagement dropped and churn increased, indicating that the served ads are high-quality and increase time spent on the app.
In San Francisco Bay sailing, knowledge of local current patterns can produce decisions that appear wrong until they succeed. The same principle applied to Koah: founders possessed customer-derived information the broader market lacked at the time.
Koah initially spent several months building an agentic professional social network concept—an agent that would proactively find opportunities and introductions on a user’s behalf, analogous to agents for actors or athletes. Strong engagement occurred, but monetization was unclear and users remained cautious about granting agents access to email or personal information. The market was not ready for that level of agentic behavior, leading to a pivot to the current Koah product.
Consumer behavior and user adoption lag technology. People may allow an agent to buy socks but not a car because consequences differ. Trust expands only as consequence levels rise and as early adopters demonstrate results through case studies. Human adaptation to new technology typically takes years even when the technology itself advances rapidly. Koah positions itself to react when the market reaches the required trust threshold.
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