Show HN: IndieRadar – AI finds build-worthy problems on Reddit

[howardV]

Hey HN! I’m building IndieRadar, an AI-powered scout that trawls technical subreddits and turns raw posts into actionable “opportunity cards.” Each card includes: • Demand score (0-10) – based on intent phrases, failed attempts, and impact • Type (billing | workflow | missing-feature…) • Urgency & pay-signal (0-3) • A compliant follow-up draft so you don’t break subreddit rules

Why? • I wasted hours combing r/IndieHackers & r/webdev, only to realise 90 % is noise. • Generic “trending keywords” tools ignore real purchase intent. • Cold-DM is spammy; I want data-backed pull signals instead of push outreach.

How it works 1. Pick subreddits / topics 2. Keyword & rule-based filter 3. LLM labels high-potential posts (we only run AI on likely hits to keep costs low) 4. Alerts in real-time or a 3-minute daily digest (Email/Slack/Webhook)

Ask • Would this save you research time? • Would you use？ • Do you have any good suggestions? • Which community should we support next (HN, PH, GitHub Issues are on the roadmap)?

Try the private beta: drop your email at indieradar.dev (7-day trial, no CC).

Promise: no auto-posting, no data-selling.

Thanks! Happy to answer anything about scoring heuristics, Reddit API woes, or launching without spamming.