Lead generation, built for Investors & VC.
BeReach reads the public signals founders and companies leave, like funding, launches, hiring and traction. It qualifies each against your thesis, then helps you reach the founder with a warm, contextual note before the round is crowded.
1,000+ teams4.9| # | Name | Conn | Signal |
|---|---|---|---|
| 1 |  Anders Holt Founder · Quill Data | 2nd | Launched v1 |
| 2 |  Zara Ahmed CEO · Foundry OS | 2nd | Crossed 1K users |
| 3 |  Milan Novak Founder · Vecta | 3rd | Launched v1 |
| 4 | Grace Lim Co-founder · Relay | 2nd | Hiring first eng |
| 5 | Paolo Ricci Founder · Umbra | 3rd | Already raised A |
To a qualified list
founders matching your thesis
Typical acceptance rate
warm, contextual first touch
Typical reply rate
vs generic cold outreach
Sourcing, not inbound
reach founders before the round
Your agent watches the signals early companies emit: product launches and first traction, funding rounds and stage, headcount growth, and public reviews or press. It pulls the founder behind each one.
Every company is scored against your thesis on sector, stage, check size fit and velocity, so teams that already raised institutional or sit outside your mandate never reach your list.
For each company that fits, the agent finds the founder and drafts a note that references the launch or the traction signal you actually saw, not a generic template. You approve every message before it sends.
Founders show momentum in public, through launches, traction and hiring, before the round is packaged. The agent surfaces them at that moment so you reach out early, when the founder is choosing partners, not fielding term sheets.
Describe your stage, sector and check size and every founder is scored against your thesis. Your limited sourcing time goes to companies that actually match, not a firehose of cold decks and generic newsletters.
Build conviction in a space by watching who is launching, hiring and gaining traction as it happens. A live map of the sector beats a database snapshot that is already months out of date.
The Reacher drafts a contextual note that references the founder's real signal, like a recent launch or a hiring surge, so your first touch reads like an investor who did the work and earns the meeting.
Prefer to work in Claude?
BeReach runs as a connector inside Claude and Claude Cowork. Ask in plain language and it prospects, qualifies, and drafts your outreach, with every send waiting for your approval. See the Claude connector.
BeReach reads the public web in real time, across launches, funding, hiring, press and public profiles, then cross-references them to surface founders that fit your thesis along with a named contact and why now. You build a proprietary pipeline of warm, timely deals instead of waiting on inbound and warm intros.
Yes, that is the point. Founders broadcast momentum in public through launches, traction and hiring before the round is packaged. BeReach surfaces them at that moment so you reach out early, when the founder is still choosing who to talk to.
Yes. Every founder is built from public signals across the open web, cross-referenced and verified. There is no scraping behind a login and no private database, which is why it surfaces pre-institutional teams that a generic B2B list would miss.
Yes. Describe your stage, sector and check size in plain language and every founder is scored against it, so you see companies that match rather than a firehose of cold decks. The agent handles the combination of signals with no filters or boolean syntax to learn.
Yes. Because it reads the open web in real time, you can track who is launching, hiring and gaining traction in a space as it happens, which gives you a live map of the sector instead of a snapshot that is already out of date.
Yes. After the Finder surfaces founders and the Qualifier scores them against your thesis, the Reacher drafts a warm, contextual note that references a real signal, so your first touch reads like an investor who did the homework.
Usually under two minutes. Describe the founders you want, the agent scans the public sources, qualifies them against your thesis, and returns a list with named contacts ready to reach out to.
Not every like means intent. This scores the six LinkedIn engagement signals, from comments to repeat profile views, by how strong each one is, how fast it decays, and how to capture it.
Alexandre Sarfati
Five ways to pull the people who liked or commented on a LinkedIn post, none of which install anything into your browser, sorted by how much access to your own account each one demands.
Alexandre Sarfati
Expandi's platform logged over 20 million LinkedIn outreach attempts across 13,000 accounts in 2024, and Belkins' 2026 study analysed 15.1 million of those touchpoints from 2025. Here's what the data says about cold versus warm approaches, which combinations work, and what most teams get wrong.
Alexandre Sarfati
Describe your thesis and let your agent find, qualify, and warm up the founders behind live momentum signals.
Free credits inside · no credit card
Click a button and let your favorite AI weigh in.
