🤓 Latest Submissions
Klaus: On-Prem, Citation-Grounded Contract AI
Compliance teams reviewing vendor contracts face a trust problem, not a speed problem: 92% of contract-management errors are human error, and organizations lose an average of 8.6% of total contract spend annually to cost leakage from missed clauses. Most AI contract tools compete on drafting speed, which doesn't fix this — a fast answer you can't verify is still a liability. Klaus is an on-prem, citation-grounded RAG assistant built around one structural rule: no answer without a citation to a real document and clause. Every model citation is checked against retrieved clause metadata before it's returned; a failed citation gets one retry, then a clear refusal instead of a guess. Every query, successful or rejected, is written to an append-only audit log. he production backend serves Qwen/Qwen3-14B via vLLM on real AMD ROCm hardware (Radeon/RDNA3), verified end-to-end: captured server logs, real grounded Q&A with correct citations, and genuine throughput benchmarks (~1,125 tok/s aggregate via vLLM's own bench tooling). Qwen3 was chosen over Gemma 4 specifically because vLLM lacked native support for Gemma 4's brand-new architecture at build time — a real engineering tradeoff, documented in the repo. Running entirely on-prem isn't a technical nicety, it's what makes the product usable under real legal constraints: HIPAA Business Associate Agreements most consumer LLM APIs don't cover by default, GDPR data-residency and Standard Contractual Clause requirements, and CMMC/ITAR air-gap mandates for defense and government contractors. Zero outbound network calls in the core pipeline, by design. The repo includes hybrid dense+BM25 retrieval, clause-level chunking (not arbitrary token windows), PII/PHI detection, full test coverage with CI, and a free-hosted live preview that lets you upload your own contract and query it directly — clearly labeled as a lightweight preview distinct from the verified AMD backend.
13 Jul 2026
DarkFunnel
DarkFunnel is a real-time B2B buying intent platform that finds your potential customers across the internet before they ever visit your website or fill out a form. Every day your future customers are posting on Reddit asking which software to switch to, leaving frustrated reviews of your competitors on G2, and asking for recommendations on Hacker News. Your sales team never sees any of it. DarkFunnel changes that. HOW IT WORKS: DarkFunnel uses Bright Data SERP API to continuously search Reddit, HN, G2, LinkedIn and the open web for buying intent signals. Every result is scored by Google Gemini 2.5 Pro via AI/ML API — rating each signal 1-10 and classifying it as Hot, Warm, or Cold. For every signal, Gemini generates a specific recommended action for your sales team. KEY FEATURES: - Real-time signal feed ranked by intent score - 20 AI-generated search queries from your product description - Multi-source monitoring across Reddit, HN, G2, LinkedIn - Pipeline Kanban board from signal to closed deal - Daily email digest + instant Slack alerts for Hot signals - Competitor mention tracking and market intelligence TECHNOLOGY: - Bright Data SERP API — core web intelligence layer - AI/ML API + Gemini 2.5 Pro — full AI intelligence layer - Supabase — real-time production database - Next.js 14 + Tailwind + shadcn/ui — full stack - Vercel — global deployment with automated cron jobs - Resend — email delivery THE BUSINESS: Intent data market is worth $4.5B. Bombora charges $30,000/yr. DarkFunnel is self-serve at $299/month — one closed deal pays for 3 years. Every B2B company with a sales team is a buyer. Built for Bright Data Web Data UNLOCKED Hackathon 2026 — Track 1: GTM Intelligence.
31 May 2026
