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IN THE FIELD GUIDE

Poach

poach.vc

Poach is a platform that tracks venture capitalists' Twitter follows to identify promising founders early, enriching data with LinkedIn profiles and AI-powered labeling. It delivers daily enriched data via CSV exports or API to help users discover unfunded founders and expand dealflow.

THE PRODUCT, BEYOND THE PITCH

Automatically researched · Not editorially reviewed · Sources checked Oct 13, 2026

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A good fit for

  • Seed funds and venture capitalists seeking early signals of promising founders

Know the limitations

Not confirmed yet.

What you can do

  • Identifying unfunded founders before they raise seed rounds to expand dealflow
  • Finding stealth-mode founders early by filtering for founder label without funded label

Features

  • Tracking of VCs on Twitter to identify early interest in founders
  • LinkedIn enrichment matching Twitter accounts to LinkedIn profiles with work history and education
  • AI-powered labeling of individuals as founders, engineers, investors, etc., based on Twitter and LinkedIn data
  • Raw data delivery via CSV exports and API with filtering options
  • Daily enriched data delivery via email including executive summaries and CSV exports

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

THE COST FOR YOUR TEAM

Go beyond the starting price.

Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Cheapest fit for 1 person, all 1 tools

$1.00/month

$12.00 a year on these plans.

Plan costs based on your requirements
Tool / planMonthlyPer yearWhat this assumes
Poach logoPoach

$1/profile tracked/moCheapest fit

Flat subscription

$1.00$12.00

Automatically extracted from the linked pricing source. Seat allowances, usage limits, taxes and terms are not confirmed — check them with the provider.

A practical workflow

  1. Step 1: Track VCs on Twitter to see who they follow as early signals
  2. Step 2: Enrich Twitter data by matching to LinkedIn profiles with work history and education
  3. Step 3: Use AI to label individuals by role such as founder, engineer, investor
  4. Step 4: Deliver raw data via CSV exports or API with filtering capabilities

Based on the sources below. Editorial review does not imply hands-on product testing.

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Sources & research

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