hmzainjamil Vibe Prospecting — Business Entity Extraction
Triggers
"vibe prospecting" / "fetch entities" / "enrich prospects" / "find businesses" / "business search mcp" / "entity extraction" / "hmz leads" / "daily leads"
MCP Tools Available
mcp__Vibe_Prospecting__fetch-entities → search businesses by type + location
mcp__Vibe_Prospecting__enrich-prospects → add email, phone, social profiles
mcp__Vibe_Prospecting__enrich-business → enrich a single company
mcp__Vibe_Prospecting__fetch-businesses-events → buying signals: funding, hiring, news
mcp__Vibe_Prospecting__match-business → exact company match by name/domain
mcp__Vibe_Prospecting__match-prospects → find specific person
mcp__Vibe_Prospecting__export-to-csv → download dataset as CSV
mcp__Vibe_Prospecting__estimate-cost → check credit cost before running
mcp__Vibe_Prospecting__get-dataset → retrieve saved datasets
mcp__Vibe_Prospecting__fetch-entities-statistics → market size data for a niche
mcp__Vibe_Prospecting__autocomplete → autocomplete business/location
USE CASE 1 — General Lead Extraction (lead-gen-ai pipeline)
1. fetch-entities(type="dental clinic", location="Dubai", limit=20)
2. enrich-prospects(entity_ids=[...]) → adds email, phone, LinkedIn, Instagram, Facebook
3. export-to-csv(dataset_id=...) → ~/Downloads/leads.xlsx via Actor 4 (openpyxl)
Output columns: name, address, phone, email, website, linkedin, instagram, facebook, google_rating, review_count, source
USE CASE 2 — HMZ Daily Leads Sweep (B2B prospect hunting)
Runs as SOURCE 2 inside hmz-daily-leads scheduled task (7 AM PKT daily):
# Buying signal search — these companies are actively expanding
fetch-businesses-events(
event_types=["funding", "hiring", "product_launch"],
industries=["ecommerce", "saas", "lead_gen", "health_wellness"],
countries=["US", "GB", "CA", "AU", "AE"],
date_range="past_7_days"
)
# → returns companies with fresh buying signals
# Enrich the top candidates
enrich-business(company_id=...) → full profile: revenue, employees, tech stack, contacts
# Find decision maker
match-prospects(
company_domain="example.com",
title_keywords=["CMO", "Marketing Manager", "Founder", "Head of Growth"]
)
→ returns name, email, LinkedIn, phone
Integration path:
Vibe fetch-businesses-events → companies with buying signals
→ enrich-business → full company profile
→ match-prospects → decision maker contact
→ apollo_people_match → verified email
→ Lead card scored (0-100 gate: ≥80 only)
→ ~/Downloads/Leads/HMZ-Leads-Daily.xlsx + HMZ-Elite-Leads-[DATE].html
→ Gmail draft to hmzainjamil@gmail.com
USE CASE 3 — Website Agency Client Prospecting (website-lead-agency)
Find businesses that need a website → build demo → pitch:
fetch-entities(
type="local business", # restaurant, clinic, gym, law firm, etc.
location="[CITY]",
filters={"has_website": false OR "website_quality": "poor"}
)
→ enrich-prospects → get owner name + email + social
→ Pass to Actor 5 (website-builder) → build demo site
→ Pass to Actor 9 (Kimi K2.5) → personalized cold pitch
Scheduled Sweep Integration
| Sweep | Time | Uses Vibe For |
|---|---|---|
hmz-daily-leads |
7 AM PKT | B2B prospect hunting via fetch-businesses-events |
hmz-bdm-morning-sweep |
9 AM PKT | Supplementary company enrichment |
hmz-bdm-evening-sweep |
9 PM PKT | Supplementary company enrichment |
| On-demand | Any time | Lead gen for any niche + city |
State tracking: python3 /Users/mc/.claude/bin/hmz-bdm-state-update hmz-daily-leads (run after each sweep)
Combined MCP Stack (all used together)
Vibe Prospecting → company/business discovery + buying signals
Apollo MCP → B2B contact enrichment + email verification
Apify MCP → web scraping signals (Meta Ad Library, LinkedIn, Shopify)
Gmail MCP → draft + send reports
WebSearch → buying signal verification, job posting analysis