Every meaningful AI thinker, every company in your fund's space, compiled into one daily 5-minute audio briefing. Built on the same knowledge graph powering absorb.md, privately tuned to the founders, investors, and competitors you actually care about.
Other tools show you today's AI tweets. absorb.md gives you a structured knowledge graph your AI agents can query.
Numbers refresh on page load · queried directly from production Postgres
The public absorb.md tracks 2212 AI thinkers and 87podcasts because that's what I personally read. Your private instance tracks the founders you fund, the founders you wish you funded, the competitors eating your portfolio's lunch, and the 200 investors whose taste you respect — whatever list you give us.
Tuned to your portfolio. What every founder you back said in the last 24 hours, where they disagree with each other, what changed since yesterday. RSS, email, MP3.
First-person, not third-person. Pulled from their tweets, podcasts, papers, blog posts, GitHub READMEs — compiled into a 5-minute read with citations on every claim.
Karpathy and LeCun on RL. Altman and Anthropic on safety. Surfaced as a graph your associates can actually reference in a partner meeting.
Your internal AI tools — Claude, Cursor, your custom diligence agent — query the knowledge bus directly via JSON-RPC 2.0. Five tools: list_people, get_person, search_entries, search_wikis, get_wiki.
The structural moat. Show how a founder's view on a topic shifted across two periods, with citations on both sides. Nobody else tracks longitudinal opinion change.
30 minutes a week to add/remove people, retune topics, surface what your team actually used. Not a CSM — me, the builder.
Everything below is live, in production, compiled in the last week. This is the same engine that runs your private instance — just pointed at my personal reading list instead of yours.
Your private instance starts here, then we replace this list with yours.
A news aggregator tells you what every AI account posted today. That's a feed, not intelligence. absorb.md goes the other direction: a small set of thinkers your fund actually cares about, compiled into a structured graph of claims your team and your agents can query for years.
Every founder and investor you track gets a living document. Every claim is cited. Every position is traceable to the tweet, podcast, or paper it came from.
When two thinkers in your bus disagree on RL, synthetic data, or the next architecture, the conflict is surfaced as a structured object, not buried in a paragraph of summary.
X is one input. We also ingest podcast audio with whisper, YouTube interviews, arxiv papers, GitHub READMEs, and long-form blog posts. Where the actual thinking lives.
Native JSON-RPC 2.0 over MCP. Your internal Claude, Cursor, or custom diligence agent calls the knowledge bus as a tool. No PDF handoff, no scraping, no podcast button to a third party.
Compare: one mid-level analyst is $200K all-in. One Bloomberg Terminal seat is $30K/yr and tells you nothing about AI.
20+ years building consumer and B2B platforms. Co-founded Mobclix (Nasdaq IPO via Velti) and Captiv8 ($150M acquisition). Currently at Meta leading AI Evals for Sales AI. I built absorb.md because I was drowning in X trying to keep up with what the smartest people in AI were actually saying. If you're a partner at an AI-focused fund, an AI desk PM, or running corp dev at a F500 with an AI thesis — I want 15 minutes to show you what your portfolio version looks like.