We’re building the runtime layer that makes AI actually useful for the 99%, not just the power users in SF. ChatGPT without context is a stranger. Attention is the one that watches, learns, and remembers.
What we do
We're building a desktop app that continuously observes what you do on your computer, screen, context, applications, people, and turns that into the deepest personal context layer ever built on a consumer device. On top of that, we’re building proactive agents that automate real work: morning briefs, distraction detectors, meeting prep, end-of-day summaries, and an expanding library of skills that onboard themselves based on who you are.
Mission
Close the gap between how the top 0.001% of people use AI today and how everyone else uses it. The company that bridges that gap and builds a product that genuinely understands users will be one of the most important companies of the decade. We think of our product as an augmented operating system for knowledge work, defensible through proprietary user context rather than model weights.
Culture
We are a small, talent dense team that comes from MIT, CMU, Harvard, and Cambridge – ex-Citadel and Optiver quants, ML researchers, and IOI gold medalists. We’re in-person in Palo Alto, research-aware but shipping-obsessed, low-ego about scope and high-ego about quality. Decisions happen fast because there are no layers and people own the work.
Total raised
$2.2M
Last stage
Pre-seed
Investors
Aidan Guo
19-year-old co-founder of Attention Engineering, building a proactive AI desktop assistant that observes user activity to automate workflows.
Julian Windeck
23-year-old co-founder of Attention Engineering, working with Aidan Guo to develop an ambient AI assistant for desktop automation.
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.