Outricher turns a living graph of 1.17 billion professional profiles into ranked targets, personal contact data, and real-time momentum signals — so your team, or your AI agent, never sends another generic, mistimed message.
You reach the wrong person, or you reach the right person at the wrong moment. Static lead lists can't fix either: they're a frozen snapshot, stripped of the context that makes a message land and blind to anything that just changed.
Generic lists match a job title, not a thesis. The decision-maker who actually fits gets buried among hundreds who don't.
A name tells you who someone is. It can't tell you they just raised, just changed firms, or just started hiring — the only thing that makes timing right.
Without a personal channel and real context, even a perfect-fit, perfectly-timed message reads like a template — and gets ignored.
Because Outricher is a connected graph — people linked to roles, companies, funding, and code — it answers questions a spreadsheet never could. Everything below runs on the same engine.
From a universe of millions down to the few dozen who match your stage, geography, and thesis — each a named human.
Personal email, phone, social handles, recent posts, career arc — the raw material for a message that sounds human.
Funding, role-change, and hiring signals computed from data the company hasn't announced yet.
Every chart below is real, queried live from the production dataset. The cases are illustrative — the data is not.
Define your ICP once — stage, geography, thesis. Outricher isolates the matching universe from 17,227 venture & PE firms and ranks it down to the named partners who actually fit, re-running weekly so your pipeline never goes dry.
info@Hand us a name or a profile and get back a 47-field dossier: personal email, phone, social handles, recent activity, and full career history. A real live pull on a public investor returned 11 personal emails, an X handle, and a clear role change to lead with.
When a deal scan surfaces a company through its open-source work, we resolve the founder to a full profile — personal email, dev activity, education, prior startups, time-in-role — drawing on 204M developer profiles linked to the professional graph.
Outricher flags the three timing signals that beat any target list: a company that just raised, an investor who just changed firms (open in their first 90 days), and a team that's suddenly hiring fast — a product that's working.
The same signal engine, pointed at your portfolio and run on a schedule. Net headcount, key-person churn, and function-level ramps — surfaced weekly, with names, before they reach a board deck.
Swap the filter to family offices, HNWIs, and corporates. The allocator universe is large and well-covered in exactly the regions funds raise from — MENA and Europe — each resolving to named principals with the same enrichment behind them.
| What you need | A static lead list | Outricher |
|---|---|---|
| Match by thesis, not job title | Title filter only | Thesis text + signals |
| Personal channel to reach someone | Corporate email, maybe | Personal email, phone, socials |
| Know when to reach out | No timing data | Funding · role-change · hiring |
| Stay current | Stale on arrival | Continuously refreshed |
| Cost to explore broadly | Pay per row | Discovery is free |
Broad discovery is free. Precision contact is cheap. You pay only for the people you decide to pursue — so exploring a market costs nothing and a full outreach campaign costs the price of a coffee.
| Operation | Covers | Cost |
|---|---|---|
| Discovery · ranking · segmentation · all signals | Building every list, every workflow | Free |
| Pre-enriched contact | ≈20% of the graph; 35% of senior investors | Free |
| Live profile enrichment | Full 47-field dossier, on demand | ~$0.02 |
A weekly pipeline of 5,000 targets costs effectively nothing. Enriching the 200 you actually contact costs ~$4.
Representative outcomes from past delivery work on the same infrastructure.
Pick one workflow. We'll deliver a live sample of 250 ranked, enriched targets matched to your thesis — end to end — so you judge the quality on real output, not a promise.