TL;DR

⚡ Hyper learns your entire company and puts it back into every AI you use. ⚡

In just a few clicks, Hyper silently reads everything in your company, keeps it up-to-date and conflict-free in real-time, and then plugs back directly into the AI tools you already love. Hyper makes every AI workflow immediately smarter with zero effort.

Asks

Tell us how you’re keeping your AIs on the same page as you. Markdown files in Git? GBrain? Manual pipelines? We’ll set you up on Hyper in <20 minutes and supercharge your company so you’ll never have to correct your agents again.

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Launch video: https://youtube.com/shorts/6XySjjG9KNA?si=zb2bP4_0sqMfYz62

Your AI doesn’t even know

You’re automating the boring work with agents so you can build more, faster. BUT:

• Agents forget your customers + your relationships
• Agents ignore know your taste, and code smelly, ugly features
• Agents can’t remember your pivots, and act on stale data
• Agents keep making the same mistakes over and over, no matter how many times you yell at them.

So you’ve tried some insane manual hacks:

• You paste dumps of the same context into every new chat.
• You write obvious skills for something that it should just "know".
• You commit markdown files in your codebase so everyone's AI is on the same page.
• You hack an off-the-shelf memory libraries to fit your unique story

…before you know it, you have a huge mess of broken agents, and no amount of pasting, screenshotting, or committing gives your AI the complete, living picture of your company.

ENTER: HYPER

Hyper fixes all of this without you having to do anything.

1. Hyper quietly pulls out important info from every document, calendar invite, email, Slack, GitHub pull request, conversation, and more.

   

2. As you work, Hyper’s agents combine, synthesize, clean up, and deduplicate all of it into an up-to-date perfect picture of your company.

   

3. Hyper quietly plugs into every AI tool you use and system you build, silently feeding back useful information without any ugly tool calls, interface spam, or distractions.

   

Now your AI knows: Who did we talk to last week? What customer is facing this bug? How much revenue do we need before next week’s meeting?

But it also knows: What’s our design philosophy? What sales strategy seems to work best with mid-level execs? What feedback isn’t worth paying attention to right now?

Hyper builds this brain across your whole company — so the next time your agents get to work, they just know. And the next time your teammates sit down to work, they just know too.

A Bit About Us

Kanyes helped secure multi-million dollar deals at Snorkel AI and wrote motion algorithms at Matic Robots. He ran a streetwear arbitrage operation out of his sophomore year apartment. Shalin was one of Matic’s most prolific designers and engineers, built an app for the blind in high school with > 3 million users, and has been building products for the last 15 years. He interned at MakeSchool (W12) in 2013 and Wit.ai (W14) in 2014 when he was in middle school.

They’ve been best friends since their first day at Cal, and have built dozens of projects between them — tools for researchers to virtual worlds to campus assistants to meme apps. They were roommates and coworkers at Matic Robots in Mountain View, where they helped lead the team. Shalin will never let Kanyes forget that he scored 10 points higher than him on the SAT.