clickspider

Free, open-source first-customer-discovery tool for indie AI builders. Paste your idea, get 15 verified prospects with outreach hooks in 30s.

18
1
89% credibility
Found May 31, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

icpfinder is a free, open-source tool that helps founders and indie builders discover their ideal customer profiles by pasting a product description and receiving three distinct buyer archetypes with verified contact emails in about 30 seconds.

How It Works

1
๐Ÿ” Discover the tool

You hear about icpfinder from a friend or online โ€” a free tool that finds who would actually pay for your idea.

2
๐ŸŒ Visit the website

You go to icpfinder.dev and see a clean page inviting you to paste your product idea or even a website URL.

3
โœจ Paste your idea

You type in one sentence about your product โ€” something like 'AI invoicing tool for indie SaaS founders' โ€” and hit enter.

4
๐Ÿค– Watch AI work its magic

Within seconds, three different buyer personas appear on your screen โ€” each with a role, industry, company size, and specific pain points they face.

5
Choose your path
๐ŸŽ
Free demo

See 3 archetypes with a few verified contacts โ€” no signup needed, just paste and go.

๐Ÿ”‘
Bring your own keys

Connect your Google and Hunter accounts for unlimited runs and more contacts per archetype.

6
๐Ÿ“ง Get verified contacts

For each buyer type, you see real company names and actual email addresses for decision-makers you can reach out to.

๐ŸŽ‰ Know your customers

You walk away with a clear picture of who'll pay for your idea and how to reach them โ€” all in under 30 seconds.

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Star Growth

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AI-Generated Review

What is icpfinder?

icpfinder is a free, open-source tool that helps indie builders find their first customers in 30 seconds. You paste a product description, and it streams three ideal customer profiles with verified decision-maker emails from real companies. Built in TypeScript with a clean separation between the core engine and AI/email providers, it uses Gemini for generating personas and Hunter.io for contact enrichment. The project ships as npm packages you can drop into your own code, or run directly from the web UI at icpfinder.dev.

Why is it gaining traction?

The hook is obvious: paid ICP tools charge hundreds per month for commodity data. This does the same job for free, self-hosted, under MIT license. The streaming UX is genuinely satisfying to watchโ€”archetypes and contacts appear in real time rather than waiting for a batch job. The "bring your own keys" model means the free tier stays useful while power users escape rate limits. For builders who want to validate ideas without signing up for Salesforce-adjacent SaaS, this hits differently.

Who should use this?

Indie hackers and solo founders validating new products. Bootstrapped SaaS builders doing outbound prospecting. Open-source maintainers looking for sponsors or beta users. Anyone tired of abstract "ideal customer personas" and wanting concrete companies with real email addresses they can actually reach. If you've ever paid for Apollo or Clearbit just to find 15 relevant contacts, this replaces that workflow.

Verdict

The 0.9% credibility score and 18 stars tell you this is early-stageโ€”no production battle-testing yet. But the architecture is solid: clean interfaces for swapping providers, SSRF hardening, proper error classification, and streaming-first design that actually works. For a free GitHub alternative to expensive sales tooling, it's worth bookmarking. Watch the roadmap for outreach personalization and React Flow visualization in v0.2.

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