🤓 Latest Submissions
TruthForge — Enterprise Verification AI
TruthForge is an autonomous enterprise verification intelligence platform built on Bright Data's production web data infrastructure. Enterprises lose $12.9M annually to unverified company claims — bad vendors, greenwashing, and decaying CRM data. TruthForge solves all three simultaneously. Enter any company name and URL. Three specialized AI engines deploy in parallel, making 15+ real-time Bright Data API calls, and return a comprehensive TruthScore (0-100) in 60-90 seconds. THREE PARALLEL ENGINES: SignalForge detects live buying signals — funding, executive hires, job postings, news momentum. GreenwashGuard cross-references ESG claims against SEC filings, regulatory portals, and Glassdoor reviews. ClaimWire validates every company claim against 10+ live sources, returning Verified, Partial, Contradicted, or Unverifiable verdicts with evidence links. SIGNALJOBS — HIRING INTELLIGENCE: A dedicated layer scans LinkedIn, Indeed, Glassdoor, and company career pages in real-time, surfacing every open role — full-time, internships, research, executive. Powered by AI/ML API, it generates instant briefs on what each hire signals about company strategy, before any press release. PRODUCTION-GRADE ARCHITECTURE: Built for enterprise scale, not just a demo. A Celery + Redis worker system auto re-analyzes every monitored company every 6 hours, sends Slack alerts on TruthScore drops, and is monitored via a live Flower dashboard. Five Bright Data tools run per analysis — SERP API, Web Unlocker, MCP Server, Scraping Browser, Web Scraper API. REAL RESULTS: Microsoft TruthScore 61 — greenwashing controversy detected, claims verified. Tesla 63 — forced labor lawsuit found. IBM 71 — 4 claims verified. All scores from live web data. Nothing hardcoded. FastAPI on Railway. Vercel frontend. Supabase database. Groq Llama 3.3-70B for analysis. AI/ML API for SignalJobs. Built solo in 5 days.
31 May 2026
KnowledgeGuard — AI Codebase Intelligence
KnowledgeGuard is an AI codebase intelligence platform powered by IBM Bob that solves the bus factor problem — when a key developer leaves, their knowledge leaves with them. Paste any GitHub URL or local path. KnowledgeGuard instantly analyzes your entire repository across four dimensions: KNOWLEDGE GUARD Scans git history to find files only one developer understands. IBM Bob generates deep Knowledge Transfer Documents capturing what took years to learn. Ghost Developer mode lets your team ask Bob questions as if the original author never left. ARCHITECTURE SENTINEL Uses Python AST parsing to detect circular dependencies, god files, and oversized modules. IBM Bob explains each issue with full repository context and generates a concrete refactoring plan. REPO Q&A Ask anything about your codebase in plain English. IBM Bob reads your actual files and answers with complete repository awareness — not generic advice. Questions that took hours now take seconds. ARCHITECTURE MAP A real-time neural network dependency graph from AST analysis. Every node is a real file, every edge a real import relationship. God files pulse with danger beacons. Particles flow along edges showing import direction in real time. HOW IBM BOB POWERS THIS Every query runs through Bob Shell CLI with the actual repository as working directory. Bob reads real files using its native tools, uses @ file reference syntax for precise analysis, and applies full multi-model orchestration — capabilities no generic AI tool can match without complete repository context. KnowledgeGuard scanned itself during development, identified its own architectural issues, and Bob generated the fix plan. A tool that improves itself demonstrates real utility. Built solo in 48 hours. Works on any public GitHub repository.
17 May 2026
