@Amank1412@capitaltruist@stripe@Uber You got it right. When models become a commodity, all that makes your agent uniquely valuaable is your own knowledge
Engineers became AI-pilled first for a reason: coding had already solved trust.
It had owners, history, reviews, and a main branch as the source of truth.
Everyone else at work got a chat box and the old company wiki. Some assembly required, former teammates not included.
With @falconer_ai, we're shipping the missing infrastructure layer: knowledge. We believe knowledge should be treated with the same rigor as code.
Designing knowledge tools at @Uber and AI systems at @Meta taught me that the best search or models in the world can’t fix rotten context. So we built Falconer to be your 24/7 librarian, hunting down drift, contradictions, and gaps. Curating the shared context your people and your agents can maintain together, and trust enough to build on.
Proud to be unleashing Falconer with the strongest team of know-it-alls I’ve ever met.
Trillions are pouring into the race to build the first general superintelligence, but leveraging your own specialized know-it-all is now possible as of today.
I built the knowledge systems at @stripe and @uber. Then I helped Anthropic, Metronome, and Graphite build a killer developer experience. Everyone wants Stripe-level quality, but that bar is too low.
Falconer gives you and your customers complete, specialized intelligence: an internal knowledge base and external documentation in one beautiful package. Falconer is the ultimate trust engine to manage your context: self-driving, observable, and agent-friendly.
I co-founded @falconer_ai with @mbenedetto212 and assembled a team of know-it-all builders. We're backed by fellow know-it-alls @thegp, @BoxGroup, @svangel, @karimatiyeh, @benln, @zachlloydtweets, @CeciStalls, @MerrillLutsky, @scottmac, @malthe, and @adamjstevenson, with angels from Anthropic, Stripe, Meta, Cursor, Replit, and more.
Frontier intelligence companies like @FireworksAI_HQ and @⬛⬛⬛⬛⬛⬛; fintech companies like @payabli and @vori; and healthtech companies like @thatch_ai use @falconer_ai because they all share the same vision as us: the knowledge you earn should belong to you.
Now you can know everything, so you can build anything.
Communication is painful for every organization, and there's even a numerical threshold where it immediately starts to break down. Whether you call it a knowledge base, a company brain, or a wiki, you should build a knowledge loop to kill the pain. https://t.co/i9eYnP2Oef
Controversial, but you probably shouldn't build a company brain.
Or at least not from scratch.
Your knowledge goes stale the moment the code changes. Agents run on those docs to write code and make decisions. Stale context = wrong answers, at scale.
My advice is pick the tool that fits how you work.
Move fast in the codebase and always need accurate info? @falconer_ai is the way to go. It handles the maintenance so you and your agents keep shipping.
Every other tool hands the maintenance back to you.
I worked at Uber under Travis. We smiled. A lot.
Don’t fall for the fake grind slop.��� Smiling is how we got the team pulling in the same direction. How we got users to open up about their real pain. How we knew it was OK to fail while attempting something no one else had tried before.
Creativity, empathy, collaboration. They are all suppressed when you don’t smile.
I’ve done my time in companies like that. Everything took twice as long, and our products were dull, safe, uninspired.
Nothing great was ever built without joy.
I worked at Uber under Travis. We smiled. A lot.
Don’t fall for the fake grind slop. Smiling is how we got the team pulling in the same direction. How we got users to open up about their real pain. How we knew it was OK to fail while attempting something no one else had tried before.
Creativity, empathy, collaboration. They are all suppressed when you don’t smile.
I’ve done my time in companies like that. Everything took twice as long, and our products were dull, safe, uninspired.
Nothing great was ever built without joy.
Same bug, same prompt:
Fable: 1,004 lines of code
Cursor + GPT-5.6 Sol: 9 lines
Both worked. Fable was just cocky enough to re-architect our codebase along the way.
Marketing and GTM will never be the same.
With the new X MCP, your agents can now listen to what’s happening on X and understand what it means for your business.
Check below for a 3-click setup (unless you want to spend your 4th of July following a 15-step tutorial 🥲)
Announcing the hosted X MCP.
Agents now have access to the best real-time information source in the world.
Connect Grok, Cursor, or any MCP-compatible AI tool to the X API without any setup!
Check it out here: https://t.co/5MzPYwGFzD