Deep Investor Research Database, Validated From Multiple Sources (alt title: "Not Just VC Names: ...Deep Investor Research Database, Validated From Multiple Sources (alt title: "Not Just VC Names: ...
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Deep Investor Research Database, Validated From Multiple Sources (alt title: "Not Just VC Names: A Fully Validated Investor Database")
Research Focus: Investor & Decision-Maker Research for Fundraising
The Challenge: Most "investor lists" on the market are just names and firm logos pulled from Crunchbase: outdated, unvalidated, and missing the context founders actually need (fit, stage, ticket size, real investment activity).
The Solution: Full Data Fields Delivered Per Investor:
Investor Name & Organization
Country & Region
Investor Type
Decision-Maker Name & Job Title
Website & LinkedIn Profile
Public Contact Information (where available)
Investment Stage
Estimated Ticket Size
Geographic Focus & Sector Focus
Relevant Portfolio Companies
Last Known Investment Activity
Direct Investment Proof
Validation Sources: minimum 2 independent sources per investor
Validation Comment
Strategic Relevance Score
Follow-up Priority & Notes
What Makes This Different: Every single investor entry is cross-checked against at least two independent public sources before being marked verified, not just listed. Founders get a research-backed shortlist they can act on immediately, not a raw export.
Best For: Founders raising seed/Series A who need a targeted, validated investor list instead of a generic 500-name spreadsheet.
Automated LinkedIn Hiring Signal & AI Outbound Engine
Overview:
Designed and deployed an autonomous outbound lead generation system using n8n. The workflow captures hiring intent signals from LinkedIn, identifies relevant executive buyers, enriches verified contact data, and drafts contextualized sales copy through an integrated LLM.
Tech Stack:
n8n • Apify • SearchLeads API • OpenRouter (Nemotron LLM) • Google Sheets API • Telegram Bot API • JavaScript
Core Deliverables:
Automated Signal Scraping: Continuous monitoring of fresh job posts across target industries.
Granular Data Filtering: Exclusion logic for staffing agencies, company headcounts over 250, and unverified domains.
Multi-Source Enrichment: Automated discovery of decision-makers (C-Level, VP, Director) with validated work emails.
Context-Aware Email Generation: Custom prompting architecture that maps the open role's requirements directly into a tailored value proposition.
Data Synchronization & Alerts: Bi-directional sync with Google Sheets and real-time push alerts via Telegram.
Impact:
Replaces 10+ hours of weekly manual SDR prospecting with a continuous background process that delivers high-intent, enriched leads directly to the sales inbox.
Built an automated booking and reminder system inside GoHighLevel to sync client calendars, send instant SMS/Email confirmations, and dispatch automatic reminders to eliminate no-shows. Built via NextGenZ AI.