Every lead-gen tool I tried was either $99/month or a black box I couldn't inspect. So I built the opposite: a small radar that watches the exact phrases my buyers type when they want what I sell — and pings me before a competitor sees the thread.
It's called Client Radar. Here's how it works and how it's built.
What it does
You enter buyer phrases — "looking for a logo designer", "need a video editor", "recommend a bookkeeper". Every 30 minutes it scans Reddit and Hacker News for new mentions, scores each one 0-10 on buying intent with a written rationale, and drafts an outreach reply for anything scoring 7+. The digest lands in your inbox; you reply like a human.
How it's built
Python + Flask, SQLite, single-tenant by design. Each buyer deploys their own private copy — Render's free tier works, about 5 minutes. Your keywords, your data, nobody else's.
The trick that makes one-time pricing possible: the buyer brings their own LLM key for the intent scoring. No API bills on my side means no subscription on theirs — $49/$99/$199 by keyword limit, done.
The honest part
It's a radar, not a money printer. You still have to reply like a human, and keyword quality in = quality out. Reddit rate limits mean 30-minute polling, not real-time. It finds buyers; it doesn't close them.
Links
Repo is public: https://github.com/frienzey/client-radar
Packaged version: https://frienzey.gumroad.com/l/radar-scanner
Brutal feedback welcome — especially on the scoring. What would make you trust a 7+ enough to reply within the hour?
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