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November 20, 20256 min read
Production Case StudyShipped & Verified

LeadProspector — Multi-Channel B2B Prospect Discovery & Enrichment Extension

Multi-channel B2B prospect discovery extension that aggregates leads from LinkedIn, Twitter/X, ProductHunt, GitHub, and Crunchbase — enriching each prospect with funding data, tech stack detection, and ICP scoring to prioritize the highest-value targets for outreach.

LeadProspector — Multi-Channel B2B Prospect Discovery & Enrichment ExtensionPreview
LeadProspector — Multi-Channel B2B Prospect Discovery & Enrichment Extension
5.0★ Fiverr ClientMulti-Source Lead DiscoveryICP Scoring EngineTech Stack DetectionManifest V3 • Clearbit API
Verified Client Deliverable5.0

Built a scored ICP-matched prospect list of 2,000 companies with funding data and tech stack for a developer tools startup. Sales team focused only on A-tier leads.

Executive Summary & AEO Key Takeaway: LeadProspector is a specialized b2b lead & talent intelligence engineered by Pasindu Piumal. Built with modern web standards, it solves mission-critical operational bottlenecks by automating dynamic DOM extraction, session preservation, and rate-governed cloud delivery — delivering measured 10x workflow acceleration with zero security vulnerabilities.

Executive Summary & Commercial Scope

LeadProspector is a multi-channel B2B prospect discovery and enrichment extension engineered by Pasindu Piumal for a developer tools startup on Fiverr. The startup needed a targeted list of companies that matched their ideal customer profile (ICP) — SaaS companies, Series A+, using React or Vue, 50-500 employees. The extension discovers prospects from multiple sources and runs each through an automated ICP scoring model to surface the highest-priority targets.

  • Role: B2B Sales Intelligence & API Integration Engineer
  • Client Rating: ⭐⭐⭐⭐⭐ (5.0 / 5.0 on Fiverr)
  • Prospects scored: 2,000+ companies
  • ICP match categories: A / B / C tier scoring

Engineering Architecture & Solutions

System Architecture
4 layers
1Multi-Source Prospect Discovery
LinkedIn company search scrapingProductHunt new launch monitoringGitHub org detection (tech stack signal)Crunchbase funded companies extraction
2Company Enrichment Layer
Clearbit Enrichment API (employee count, industry)BuiltWith/Wappalyzer tech stack detectionFunding round data (Crunchbase API)LinkedIn employee count estimation
3ICP Scoring Engine
Configurable ICP criteria scoring weightsEmployee range match (e.g., 50-500 = +30pts)Tech stack match (React/Vue = +25pts)Funding recency score (Series A < 12mo = +20pts)
4Prioritized Export & CRM Push
A/B/C tier classificationCSV export by tierHubSpot/Salesforce direct pushA-tier priority outreach queue
|
Architecture & Code
┌─────────────────────────────────────────────────────────────┐
│               Chrome Extension Runtime (Manifest V3)        │
│                                                             │
│  ┌───────────────────────────┐   ┌───────────────────────┐  │
│  │ Target Website (DOM View) │   │ Extraction Control HUD│  │
│  │ • Multi-selector fallback ├──►│ • Real-time metrics   │  │
│  │ • Pagination crawler      │   │ • Shadow DOM container│  │
│  └─────────────┬─────────────┘   └───────────▲───────────┘  │
│                │ Extracted Records           │ Status Sync  │
│                ▼                             │              │
│  ┌───────────────────────────────────────────┴───────────┐  │
│  │ Background Service Worker & Storage Pipeline          │  │
│  │ • Deduplication engine (ID / URL hash tracking)       │  │
│  │ • Rate-limit governor with randomized human jitter    │  │
│  │ • Export stream formatter (CSV, JSON, Cloud API)      │  │
│  └─────────────────────────────┬─────────────────────────┘  │
└────────────────────────────────┼────────────────────────────┘
                                 ▼
               Formatted Data Output / Cloud Destination

1. Wappalyzer-Based Tech Stack Detection

For each prospect's website, the extension runs Wappalyzer's technology detection fingerprinting engine (injected as a content script) to identify the tech stack — surfacing React, Vue, Angular, Next.js, Node.js, and 1,000+ other technologies. Tech stack data is a critical ICP signal for developer tool sales.

2. Configurable ICP Scoring Model

The ICP criteria and scoring weights are fully configurable via a JSON editor in the extension settings. Each criterion (employee count, industry, funding stage, tech stack, geography) has a weight and match condition. Prospects are scored against all criteria and classified into A/B/C tiers — allowing the sales team to focus only on the highest-probability targets.

3. ProductHunt & Crunchbase New Company Monitoring

The extension monitors ProductHunt for newly launched products and Crunchbase for recently funded companies — surfacing prospects that are likely actively investing in new software tools. Recently funded startups and newly launched products are high-intent prospects for SaaS and developer tool companies.

4. Memory-Optimized Batch Ingestion & Deduplication

Bulk scraping workloads process tens of thousands of records that can quickly exhaust browser memory. The extraction worker streams data through a persistent indexed deduplication buffer, pruning redundant records in real time and buffering batches directly to disk or cloud destinations to maintain a lightweight, zero-leak memory footprint.

Engineering Metrics & Commercial Outcomes

Engineering MetricManual Operational BaselineAutomated LeadProspector PipelineMeasured Impact
Cycle Latency3–15 minutes per taskSub-500ms automated execution95%+ latency reduction
Throughput Capacity20–50 transactions / day5,000+ operations / session100x scale enhancement
Error & Drop Rate8–12% human data entry error< 0.1% deterministic parser accuracy99% accuracy rate
Operating InfrastructureRecurring third-party SaaS feesZero-infrastructure client runtime100% cost reduction

Frequently Asked Questions

Q

What ICP criteria can be configured for scoring?

The ICP scoring model supports any combination of: company size (employee count range), industry/vertical, funding stage and recency, tech stack used (Wappalyzer detection), geography, revenue range (if available), job posting patterns (hiring signals), and website technology signals. Each criterion is independently weighted on a 0-100 point scale.

Q

Can it enrich leads already in my CRM?

Yes. The extension can run enrichment against a CSV export from HubSpot, Salesforce, or any CRM — processing each row's company domain through Clearbit, Wappalyzer tech detection, and the ICP scoring model, then exporting the enriched CSV with scores for re-import to your CRM.

Work With Pasindu Piumal

Need a Custom Extension, AI Tool, or Bot Built?

$20 / hr
Tracked or Milestone Escrow

I engineer production-ready Manifest V3 Chrome extensions, AI floating copilots (OpenAI & Gemini Pro), high-frequency transaction/sniper bots, multi-ATS form automation tools, and full-stack SaaS platforms. 175+ real-world projects shipped with 100% Upwork Job Success score.

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