DataForB2B helps sales, recruiting, and GTM teams with sales prospecting, candidate sourcing, talent mapping, and B2B data enrichment. It finds leads and candidates, surfaces funding rounds and hiring signals, searches jobs and LinkedIn or other social posts, and retrieves available work emails and contact details to prepare outreach.
How to use
- 1Add it in ChatGPT
Open DataForB2B in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick DataForB2B, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 3
- sales-prospecting
Build qualified prospect lists with DataForB2B. Define an ICP, find matching companies and decision makers, layer buying signals (funding, hiring, growth, intent posts), and enrich work emails for outreach. Use when the user says "find prospects", "build a lead list", "find companies that...", "who should I sell to", "decision makers at...", "companies that just raised", "lead gen", or describes a product and asks who to target.
- talent-sourcing
Source candidates with DataForB2B. Build candidate pipelines from structured people search, map talent pools at target companies, spot likely-to-move candidates, and get contact info. Use when the user says "find candidates", "source candidates", "talent sourcing", "build a candidate pipeline", "who could fill this role", "find engineers/designers/sales people to hire", "talent mapping", or describes an open role they need to fill.
- vc-deal-sourcing
Source startup deals and future founders with DataForB2B. Two branches, turn an investment thesis into precise company screens with momentum signals (growth, funding timing, hiring), or source promising founders-to-be (ex-operators of breakout companies, repeat founders, stealth builders). Use when the user says "deal sourcing", "find startups", "companies matching my thesis", "who just raised", "companies about to raise", "repeat founders", "future founders", "ex-Stripe founders", "portfolio lookalikes", or describes an investment thesis and asks who to look at.