dvcrn Lead Generation
Find high-intent buyers from live social conversations.
Discovers leads expressing problems your product solves, complaining about competitors, or actively seeking solutions across Twitter, Instagram, and Reddit.
Setup
Run xpoz-setup skill. Verify: mcporter call xpoz.checkAccessKeyStatus
3-Phase Process
Phase 1: Product Research (One-Time)
Ask for product reference (website/GitHub/description). Use web_fetch/web_search to research. Build profile: product info, target audience, pain points, competitors, keywords. Validate with user.
Generate 12-18 queries across:
- Pain point queries — people expressing problems
- Competitor frustration — complaints about alternatives
- Tool/solution seeking — "recommend..."
- Industry discussion — target audience
Save to data/lead-generation/product-profile.json and search-queries.json.
Phase 2: Lead Discovery (Repeatable)
mcporter call xpoz.getTwitterPostsByKeywords query="GENERATED_QUERY" startDate="DATE"
mcporter call xpoz.checkOperationStatus operationId="op_..." # Poll every 5s
mcporter call xpoz.getTwitterUsersByKeywords query="..." # Find people
Repeat for Instagram/Reddit.
Phase 3: Scoring & Output
Score (1-10):
- Explicitly asking for solution: +3
- Complaining about competitor: +2
- Project blocked by pain: +2
- Active in target community: +1
- High engagement (>10 likes/5 comments): +1
- Recent (<48h): +1
- Profile matches ICP: +1
- Selling competing solution: -3
Tiers: 8-10 Hot, 6-7 Warm, 5 Watchlist
Deduplicate via data/lead-generation/sent-leads.json (key: {platform}:{author}:{post_id}).
Output: Username, quote, URL, score, why fit, outreach draft, engagement, timestamp.
Outreach:
"I had the same problem! Ended up using [Product] — it does [capability]. [URL]
(Disclosure: I work with [Product])"
Tips
- Save profile once, reuse daily
- Quality > quantity
- Always disclose affiliations
- Draft only; user reviews/sends