Graphify Labs (YC S26) @graphify
knowledge graph engine for enterprise software Open source- 121k+ GitHub⭐️ backed by @ycombinator graphify.com San Francisco, CA Joined June 2024-
Tweets47
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Followers3K
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Following1
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Likes1K
I am building a team @graphify If you're really really really good at building stuff, design, filmmaking, writing, pushing the models to their limits, or just making people care about a product at mass, absolutely reach out Let's collab + make stuff.
@siddqamar_ai @matthewcp Thanks for mentioning us!
@InfoQ Thanks for talking about us!
LFG!
Our first Devrel is at it If you build using @graphify, you should be in there. discord.gg/D4RVMtGwmM
We hit 933 daily active users on @graphify yesterday, the highest single day since we opened the platform a month ago. One engineer @TPateeq built this with me in just under two months, and people are actually coming back and using it. That matters more to me than stars ever did. Try the v1-> app.graphify.com
Graphify just passed 7.5M downloads in under 6 months. 1.7M of that was in the last 30 days. Still coming in at 0.61 installs a second. At @graphify we are standing up the community next. I want the name to come from the people who use it and contribute to it. What should we call it?
120k+ stars are a vanity metric. This is the real one. One month after public launch, @graphify MCP is doing ~350k calls a week across 600–770 tenants. Peak week: 488k. $0 LLM cost. Local embeddings on query retrieval. Pure usage.
As a founder nothing beats this. People distributing the product in a language I do not speak, for a problem I do understand. I see @graphify I tap that like.
Love that this is basically our website. Cube on the right. Graph when you hover. graphify.com
Solving a Rubik's Cube with graph theory.
Graphify is free for qualifying open-source projects. If your repo is non-commercial and MIT or Apache, you can get the hosted product at no cost. Projects with 1,000+ stars are auto-approved. Apply here: graphify.com/oss
We love Open Source
in case you didn't know, @graphify is free for oss projects 👀 dm me and i'll get your application accepted within 24h
Texts from other @ycombinator founders make my day
🧾 @graphify (YC S26) is building the proof layer for AI-written enterprise software. It maps an entire codebase into a live knowledge graph and proves every AI change is safe before it ships, or finds the exact input that breaks it. AI now writes code inside the largest enterprises faster than anyone can verify it. Everyone else reviews that code with more AI. Graphify proves it, because no model can prove its own work. It takes the old code as the spec and either proves the new version is equivalent or hands you the breaking input. Developers adopted the open source engine entirely bottoms-up: 116,000 GitHub stars and 6.5 million downloads in five months, with no sales team. They commercialised 28 days ago and already have 147 paying customers and a first enterprise pilot signed at $120,000, all inbound. Engineers at Shopify, Datadog, and JP Morgan run it inside their own companies. @safishamsii is a knowledge graph researcher, and Graphify is that research turned into infrastructure. Applying a rigorous graph foundation to the messiest problem in software right now, trusting AI-written code, is exactly the right person on exactly the right problem. The more code AI writes, the more the world needs to trust it, and somebody independent has to prove it. @pioneer_fund is excited to back Safi and can't wait to see where he takes this. Congrats Safi! LFG!
The problem we are solving at @graphify is universal. That is why we had 13k signups in a month, and why 5k+ are on the enterprise waitlist.
We made shipping faster. We made seeing harder. That is the wrong trade. Agents did not fix it. They loop. They drift. They invent “probably shipped.” Then the session ends, and the map is gone. A system you cannot see, you do not own. The map has to live somewhere. app.graphify.com
It is concerning how enggs are losing their grip on their systems. Not just on the low-level code, but on the end-to-end flow of their systems as well. I think there are two reasons for this: 1. Everything is in a hurry now. We are constantly optimizing for faster delivery, so
When you solve a real problem, users start measuring it for you. And this is what @graphify has proved. 24.4× fewer tokens per query. ~919k tokens dumped into the repo → ~38k to ask the graph.
I love this and totally relate with @graphify
This was one of the targets. GitHub top 100. We hit it. Growing every day. Cleared one another too, announcing that soon.
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6K Followers 920 Following Founder & CEO @graphify @ycombinator S26 graphify 121k+ stars 7.5M+ downloads @unibirmingham alumYou might like
