I built a buying‑intent radar that watches Reddit and Hacker News for my buyers
Description and use
A self‑hosted radar scans Reddit and Hacker News every 30 minutes, scores buying intent, and drafts outreach replies, enabling users to respond quickly to potential clients without subscription costs.
Problem
Lead‑gen tools were expensive or opaque, so I needed a transparent, low‑cost way to detect buying intent on public forums.
Outcome
Clients can detect buying intent on Reddit and Hacker News without subscription costs, receiving actionable outreach drafts within an hour of a high‑intent post.
Workflow
- 1. Define buyer phrases (e.g., "looking for a logo designer").
- 2. Deploy a private instance of Client Radar (Python + Flask, SQLite) on Render free tier or local machine.
- 3. Provide your own LLM API key for intent scoring.
- 4. Radar polls Reddit and Hacker News every 30 minutes for new mentions.
- 5. Each mention is scored 0‑10 with rationale; posts scoring 7+ trigger a drafted outreach reply.
- 6. Receive a digest email with high‑intent posts and reply templates.
- 7. Respond manually to maintain human touch.
Evidence
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+.
- Record date: 2026-09-22T01:45:46.405Z