Florian Martens
Founder, pipe0
Florian is the founder of pipe0. He built data pipelines at Cloudflare and joined Cursor as its first Growth Engineering hire, where he built the GTM data platform.
- Founder of pipe0
- First Growth Engineering hire at Cursor, built its GTM data platform
- Built data pipelines at Cloudflare
Posts by Florian · 53
ThinkingStateless or Stateful? How Treg, Deepline, Landbase, and pipe0 Give Agents GTM Data
Treg, Deepline, and Landbase give agents access to GTM data. They place the responsibility to store that data on you. In contrast, Clay, Floqer, and Bitscale give data a home but can't make their data model scale. pipe0 does both on one engine, and an agent can move a list from one to the other with a sentence.
Sales dataWhy the First Provider in a Waterfall Decides Accuracy
A waterfall stops at the first answer, so the first provider decides accuracy. We checked cheapest-first routing against our provider benchmark: cheap answers often disagree with premium data, and cheap providers mostly find the same people.
EngineeringThe Clay CLI Is an Anti-Pattern: Why GTM Tools Don't Need a CLI
The Clay CLI, launched in July 2026, installs a program on your machine so agents can drive Clay. We think it's an anti-pattern: a CLI gets access to your shell and files, cloud agents won't run it, and nothing a GTM tool does needs it.
Sales dataYour 20-Provider Waterfall Has Never Been Benchmarked
Vendors advertise waterfalls with 20+ providers for emails and phone numbers. In our benchmark, the best phone provider found 96% of numbers alone, and eight more providers added two. Long waterfalls ask the same few datasets the same question, over and over.
ThinkingComplexity Is Not a Skill
GTM influencers make go-to-market sound like rocket science, so you buy one more tool and hire one more agency. The goal should be the opposite: use the tools you have properly, and only add systems that take complexity away.
EngineeringThe Stateful Data Model: How Clay, Floqer, Databar, and Bitscale Work
Clay, Floqer, Databar, and Bitscale build enrichment on a table that is both the program and the data. It makes work visible, and it shapes everything else: row limits, APIs that follow the table step by step, and agents that struggle to work with it.
EngineeringThe Stateless Data Model: How Treg, Deepline, Landbase, and Orthogonal Work
Treg, Deepline, Landbase, and Orthogonal give AI agents a catalog of stateless enrichment endpoints. That model is simple and broad, and it can't run anything while your agent isn't running: no schedules you can rely on, no webhooks, no signals.
Sales dataZeroBounce vs. MillionVerifier: We Tested Both on 100 Known Addresses
We ran 50 real and 50 fake addresses through ZeroBounce and MillionVerifier. Both were perfect on Gmail and dead domains. On work addresses, one answered and the other said catch-all.
Sales dataLeadMagic's Email Validation Beat ZeroBounce in Our Test
We added LeadMagic to our verification benchmark: 100 addresses where we know every answer. It got 97 right, one more than ZeroBounce, and charged nothing when it couldn't tell.