Example Prompts
- “Find this week’s leads for my social listening SaaS”
- “Who’s complaining about [competitor]‘s pricing right now?”
- “Scan Reddit and X for people asking for CRM recommendations”
- “Find named prospects with buying intent for [product] on Twitter”
Scan Methodology
1
Build the query book
Three search motions every scan: product relevance (asking and budgeting phrasings), competitor disappointment (switching and struggling phrasings, per competitor), and the product’s own name (people already comparing it).
2
Search the four platforms
Reddit posts and comments carry most of the signal and get the call budget first, then Twitter/X, then Instagram and TikTok.
3
Classify by lead shape
Reddit produces threads to comment in; X, Instagram, and TikTok produce likely converters (named prospects) and high-engagement comment spots. Replies are chased up to their parent thread before classification.
4
Qualify and prioritize
Intent, fit, freshness (last 72 hours weigh heaviest), and reach. Vendors, unrelated keyword hits, and spam are hard disqualifiers.
5
Report
P1 (act now), P2 (worth engaging), P3 (watch), plus named prospects and the demand signals that repeated across candidates.
Ground Rules
- The skill never posts, comments, DMs, or follows anyone; humans act on the report.
- Suggested angles only, never full reply drafts.
- Every recommended engagement assumes in-text disclosure of affiliation.

