resetDocs

Hey Product Hunt! 👋 I'm Mantas, CIO, and I built resetDocs because I watched our Product Managers spend more time documenting than managing products. Here's what I saw in our organization: • PMs spending 15+ hours per sprint on documentation • Engineering blocked waiting for specs • Slack decisions getting lost in threads • Product velocity suffering because of documentation bottleneck The math didn't add up: We were paying PM salaries for admin work. Why I built this as a CIO I knew the technology existed. AI can understand context, extract intent, structure information. But nobody was solving the actual workflow problem. So I built it myself. What resetDocs does For Product teams: 🔹 Slack → PRD in 60 seconds: Tag @resetDocs in any thread. Get structured docs with proper sections, context preserved, links to original conversations. 🔹 PRD → Jira backlog in 1 click: AI extracts epics, stories, tasks with confidence scoring. Review and bulk-create with proper hierarchy. 🔹 Auto-generate diagrams: Mermaid flowcharts, architecture diagrams, user flows. No more Draw.io screenshots. For Engineering teams: 🔹 Clear, structured specs from day one 🔹 Traceability back to original decisions 🔹 Less time in "clarification meetings" The tech stack (since I know you'll ask) • Next.js 14 (App Router, RSC for performance) • Supabase (PostgreSQL with RLS on everything) • Multiple AI models (different models for different tasks - cheaper and more accurate) • OAuth 2.0 with PKCE for Slack/Jira (enterprise-grade security) • Vercel (edge functions for speed) Built with scalability and security in mind from day one. Three specialized AI agents Most AI tools are just ChatGPT wrappers. I architected three specialized agents: • Slackie: Slack integration agent with conversation understanding • Maestro: Orchestration layer that coordinates workflows • TaskForge: Jira automation agent with task hierarchy intelligence Each optimized for its specific job = better results, lower costs. Real organizational impact Before resetDocs: • 15 hours per PM per sprint on documentation • Engineering velocity constrained by spec availability • Slack decisions lost in history • Documentation became the bottleneck After resetDocs: • 90% reduction in documentation time • Engineering gets specs same day • Full decision traceability • PMs focus on strategy, not formatting ROI example: 5 PMs × 15 hours saved per sprint × $75/hour = $5,625 saved per sprint Cost: 5 users × $9 = $45/month That's 125x ROI. Why pricing is $9/month As a CTO, I built this to be a no-brainer purchase decision: • No approval needed: $9/user flies under procurement radar • Try risk-free: 7-day free trial, no CC required • Money-back guarantee: 30 days, no questions • Enterprise discounts: Available for larger teams Compare to: Your PM's hourly rate is probably $50-150. One hour saved pays for a year. Security (I know you care about this) ✅ SOC 2 Type II (in progress) ✅ Encrypted at rest and in transit (AES-256-GCM) ✅ OAuth 2.0 with PKCE for all integrations ✅ Row Level Security on all database tables ✅ HMAC signature verification on webhooks ✅ We never train AI models on your data ✅ GDPR compliant Built by a CTO who understands enterprise security requirements. What I need from this community 🙏 Technical feedback: How would you architect this differently? 🙏 From CTOs/Engineering leaders: What would make you approve this for your team? 🙏 From PMs/POs: Does this solve your actual workflow? 🙏 Honest questions: About architecture, security, AI costs, scalability 🙏 Upvote if you've seen documentation become an organizational bottleneck I'll be here all day answering technical questions, discussing AI implementation, and talking about solving org-level problems with the right tech. — Mantas, CIO and Founder