AyanbekDos

AyanbekDos / unfairgaps-os

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Find real business pain points from court filings, regulatory fines, and enforcement data. 4 pipelines. Works in any country. One API key.

14
6
100% credibility
Found Apr 16, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

UnfairGaps is an open-source Python tool that leverages AI to analyze public court filings, fines, and regulatory data to identify verifiable business pain points and opportunities in industries or for specific ideas worldwide.

How It Works

1
🔍 Discover UnfairGaps

You stumble upon this tool while reading Reddit posts about finding real business ideas from court cases and fines.

2
📖 Read the guide

You check out the simple instructions and get excited about spotting hidden money-losing problems in boring industries.

3
✨ Get free AI access

You sign up for a free account at the AI search service, which gives you some trial credits to start exploring.

4
💻 Set up on your computer

You download the tool, paste in your free access code, and everything is ready to go with a few clicks.

5
Pick your path
🏭
Scan an industry

Enter an industry like construction and a country to uncover their biggest legal headaches.

💡
Validate an idea

Type in your business idea and country to see if real evidence backs it up.

🌐
Audit a site

Give a website address to check if their promises match actual customer pains.

👥
Find customer pains

Share your own site to discover what troubles your potential customers are facing.

6
🔥 Run the search

Hit go, sit back, and watch it dig through public records to pull out specific problems with dollar amounts and sources.

📄 Get your opportunity report

A clear report pops out with clustered pains, business ideas, and proof – now you can build something people really need.

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Star Growth

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AI-Generated Review

What is unfairgaps-os?

This Python CLI tool uncovers real business pain points by scanning public court filings, regulatory fines, and enforcement data worldwide using a single Perplexity API key. Feed it an industry like construction or real estate and a country code, and it runs one of four pipelines—industry scans, idea validation, site audits, or customer pain finders—to output Markdown reports with sourced liabilities like OSHA fines or ADA lawsuits. It solves the "what to build next" dilemma by prioritizing proven, money-losing problems over vague annoyances.

Why is it gaining traction?

Unlike generic ChatGPT queries that spit out opinions, it pulls verifiable evidence from sources like SEC EDGAR, EPA, and local courts, complete with URLs and financial impacts. Developers dig the quick CLI commands (e.g., `python run.py industry-scan --industry real estate --country US`), free $5/month Perplexity tier for 20 runs, and plug-and-play AI agent skills for tools like Claude. Reddit threads with 1.5M views highlight real wins, like trucking pains turning into startups.

Who should use this?

Indie hackers validating SaaS ideas against real fines, like restaurant compliance tools. Side project builders targeting boring niches such as plumbing or real estate agents dodging lawsuits. Founders auditing competitor sites or finding customer pains in segments like solar installers losing warranty claims.

Verdict

Grab it for idea validation if you have a Perplexity key—docs are excellent, MIT license, and pipelines deliver fast value despite 14 stars and 1.0% credibility score signaling early maturity. Contribute DB connectors to boost reliability; it's raw but punches above its weight for business hunting.

(198 words)

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