Essays by Ry Walker

The story of leaving safe jobs and building companies — Differential, Astronomer, and now Tembo — because I had no other choice.

Design partner programs prevent enterprise AI companies from building three products when they should have built one.

We built OSSRank to score open source project health beyond GitHub stars. The framework was right; the product wasn't. Here's what I took away.

Agent companies are marathons you sprint through. Frameworks commoditize, monetization pins to infrastructure, and proximity to real builders is the moat.

There is no winner-take-all platform in agents. The GTM is services-shaped, the harness is commoditized, and coding-agent companies have a narrow window to pivot before the floor falls out.

A formal design partner program is how you avoid building in a vacuum without getting pulled in five directions. Pluck a feather from each passing goose, but never follow one off a cliff.

The AI coding agent space looks crowded today. The vast majority of entrants will pivot, run out of money, or chase the next shiny thing. The race goes to who keeps running.

Serial entrepreneurs show up before the wave forms. Being early looks identical to being wrong — right up until the moment it does not.

Why we're building Tembo: AI coding agents should be orchestrated, not operated. The vision for enterprise-grade agent infrastructure.

AI outbound scales noise, not trust. Why cold outreach is saturated in 2025 and how warm, relevant paths still win.

A step-by-step framework for testing startup ideas: talk to users, fake the demo, iterate until you know what to build. Don't write code yet.

Open source your core, build a SaaS around it ASAP, and keep both flywheels spinning. How to balance community and commercial traction.

The three mistakes that sink fundable companies — setup-slide death, sanitized corporate-speak, and slide dependency. Plus what actually intrigues investors.

A repeatable five-step process for building a seed pitch — bullets, narrative, script, slides, iteration. Words first, slides last.

Every funded seed pitch crystallizes around four elements — product, team, traction, market. Miss any of them and the rest of the deck cannot rescue you.

A self-assessment and prescriptions for becoming data-driven: hire a data scientist, establish a warehouse, and track your Daily ETL Tasks.

How fundraising really works: you'll get a pile of 'no' and a smaller pile of 'maybe.' Without a potential lead in that maybe pile, you're not ready.

How Astronomer evolved from USERcycle analytics to a data engineering platform. The organic growth from clickstream to Apache Airflow to Kafka.

Could Daily ETL Tasks be an effective indicator for how data-driven your organization is? A thought experiment inspired by Airbnb's data infrastructure.

Our journey through AngelPad as the first Midwest team ever accepted. From application to Demo Day, here's what the top-ranked accelerator is really like.

Data silos are a growing problem as SaaS proliferates. How cloud computing, mobile, and machine learning are creating a data revolution.

Should early-stage SaaS companies do professional services? Advice from Brad Feld, Hiten Shah, and other investors on the product vs. services dilemma.

Most startup advice focuses on product and marketing. Retention gets far less airtime—and that's a shame, because it's where most products die.

Build something astonishing for your early adopters. Measure their amazement across education, setup, and ongoing value—then track your improvement.