Radar — the right conversations, surfaced, never automated away.
A social-listening system on n8n: it watches developer and business communities, LLM-qualifies each new post for genuine intent, and pings the owner with a short brief and a value-first angle. Detection is automated; every reply is written by a human. This is the system we run for ourselves.
The best leads are people asking, in public, right now.
Manual monitoring doesn't scale — and auto-reply gets you banned.
- Watching feeds by hand is hours a day, and you still miss the post that mattered while you were building.
- Keyword alerts fire on everything — you drown in showcases, off-topic threads, and vendors using the same words.
- The market's auto-reply tools post on your behalf — and communities detect and remove them, taking the account with it. The reply is exactly the part that must stay human.
A scraper base, an LLM qualifier, two delivery tiers — one human at the end.
- Scrape: each source is polled through its own structured API (Hacker News via Algolia, the n8n forum via Discourse). A durable per-source cursor means each poll fetches only newer items; a seen-table dedupes as a safety net.
- Pre-filter: a deterministic keyword pass (ask-signals, fit terms, negatives) drops obvious noise before any model spend.
- Enrich: one LLM pass, JSON-only, returns is-relevant, a lead type, and fit / intent / actionability sub-scores. Showcases, off-topic, and pure discussion are hard-gated out.
- Score: sub-scores fold into a composite, adjusted for budget and urgency signals, then bucketed into tiers.
- Deliver: top-tier leads ping the owner on Telegram with a brief and a value-first angle; the rest land in a daily email digest — a searchable archive, not a flood.
- Respond: the owner reads the brief and writes the reply. One-tap Attended / Deferred / Mute feedback records the outcome; the angle proposes how to genuinely help, never a scripted product pitch.
The radar finds and qualifies. It never posts, comments, or messages a community — every reply is written by a person. Automating the reply is a spam-and-ban trap, out of scope by design.
Sources are polled through their own structured APIs — Hacker News via Algolia, the n8n community forum via Discourse. Durable per-source cursors fetch only what is new; a seen-table dedupes.
If enrichment is down or absent, posts route to the digest — never a flood of raw pings. The LLM pass is JSON-only and guarded by a hard daily spend cap with an alert.
Measured, not promised.
The radar runs on our own lead-gen. As real feedback accrues, the numbers land here: posts surfaced by source, precision by tier (pinged then actioned), and the share caught that manual scanning would have missed — pulled straight from the stored feedback. Until the window closes this section stays deliberately empty. No invented figures, ever.