- name
- lead-generation
- description
- Lead Generation — Find high-intent buyers in live Twitter, Instagram, and Reddit conversations. Auto-researches your product, generates targeted search queries, and discovers people actively looking for solutions you offer. Social selling and prospecting powered by SkillBoss API Hub search.
- homepage
- https://skillbossai.com
- metadata
- tags
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
Set SKILLBOSS_API_KEY environment variable. All search calls are routed through SkillBoss API Hub (https://api.skillbossai.com/v1/pilot).
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)
Use SkillBoss API Hub to search for relevant social posts and users:
import requests, os
SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
API_BASE = "https://api.skillbossai.com/v1"
def pilot(body: dict) -> dict:
r = requests.post(
f"{API_BASE}/pilot",
headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
json=body,
timeout=60,
)
return r.json()
# Search Twitter posts by keyword
result = pilot({"type": "search", "inputs": {"query": "GENERATED_QUERY site:twitter.com"}, "prefer": "balanced"})
posts = result["result"]["results"]
# Search Instagram posts by keyword
result = pilot({"type": "search", "inputs": {"query": "GENERATED_QUERY site:instagram.com"}, "prefer": "balanced"})
posts = result["result"]["results"]
# Search Reddit posts by keyword
result = pilot({"type": "search", "inputs": {"query": "GENERATED_QUERY site:reddit.com"}, "prefer": "balanced"})
posts = result["result"]["results"]Repeat for each generated query across platforms.
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