For sales and growth teams building outbound lists, Findymail is an email-finding tool that locates and verifies prospect addresses, including on catch-all domains, so lists don't bounce before they hit your sequencer.
Presence & Market Position
#13 of 103
GTM Developer Tools
▼ 39 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Findymail is positioning itself as the email-enrichment and verification layer for outbound teams that need usable contact data before a sequence begins. Its presence is strong across practitioner workflows for stakeholder mapping, enrichment waterfalls, contact sourcing, and CRM preparation. The product appears regularly alongside broader account-research and outbound stacks, where teams use it to find and validate work addresses while combining other providers for adjacent data needs. That gives Findymail a clear role in the contact-data layer beneath modern prospecting systems, especially where teams need to improve coverage without sacrificing verification.
Plainly Videos, Niche Leads, LeadBull, Tapeflux, GrowthEngineX, AAIW
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Business Profile
Findymail was founded in 2022 by Valentin Wallyn, who had previously built a smaller Twitter-focused email scraper before moving into the broader email-finding market. The company has stayed bootstrapped and independent, growing into a 10-person, remote-first team and reporting $1.4M in ARR as of 2024. It runs a four-day work week and names learning, empathy, collaboration, accountability, and enjoying the work as its operating values. Findymail has built its reputation inside the cold-email and outbound community around pricing — it charges only for contacts it actually finds and verifies, not for misses.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Findymail's agent-facing surface is a REST API covering email finding, reverse lookup, verification, company enrichment, and phone-number lookup, authenticated with a bearer token and built for high-concurrency, webhook-driven use. Its Lead Finder API takes natural-language queries to generate lead lists rather than requiring structured filters, which is the part of the surface built closest to agent-style use. No MCP server, SDK, or CLI is published in the docs — the build-out runs through that API and its natural-language entry point.
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