Fathom

Voice-first codebase comprehension AI for engineering teams whose first language isn't English.

[clinton @clintonimaro]

Last weekend, I & my team (@lowkeykiitan @imanmokua) made a last-minute trip to New York to attend the @OpenAI Startup Hackathon w/ @cerebral_valley just to put our ideas to the test. Proud to share that our startup, @heyfathom, won 2nd place out of 70+ teams.

We’re building Fathom, the AI-native memory and command layer for engineering teams, Think of it as Siri for codebase.

Code generation is abundant developers are already “producing more code than they can read” Copilot, Cursor, and Claude generate code faster than humans can comprehend, but onboarding into large codebases, debugging regressions, and aligning global teams remain painfully slow. Repos, infra, and logs are only getting larger and messier, while AI adoption is accelerating. The missing layer isn’t more codegen, it’s comprehension, memory, and action. Fathom sits exactly at this inflection point: the shift from “AI helps you write code” to “AI helps you understand and operate your entire system.”

Imagine being a developer in Japan, Brazil, or Nigeria, trying to navigate a massive codebase where every tool, doc, and error message is locked behind English-first interfaces. That friction slows teams down and leaves talent underutilized. With Fathom, you can literally talk to your codebase in your own language. ask questions, get context, trace dependencies, and even trigger actions. whether that’s in Japanese, Spanish, or Yoruba. It’s Siri for your codebase, designed for global engineering teams.

Imagine a system that gives you answers 10x faster than any LLM today. Drop it on top of a massive codebase, and instead of waiting or wading through docs, you get precise, accurate feedback instantly, like your codebase is talking back in real time.

I believe every engineering org will need this layer, and we’re building it now.

we’d love to hear your thoughts, feedback, and experiences, especially if you’ve ever felt the pain of onboarding into a new codebase. Also check the comments section for some early usecase videos.

[Kiitan @lowkeykiitan]

Placed 2nd out of 70+ teams at the @OpenAI x @cerebral_valley Codex Hackathon in NYC!

My teammates @clintonimaroo,@imanmokua and I built Fathom a multilingual Siri for codebases that understands, chunks, and graphs your entire repo while tracking architectural flow in real time