[Vibemap.ai] AI tools for founders – Turn ideas to dev specs in 10 min
[Vibemap.ai] AI tools for founders – Turn ideas to dev specs in 10 min
Description: After fully automating my personal workflow, I decided to build VibeMap to solve the same problem I've hit repeatedly: AI coding tools stall when requirements are vague, and traditional planning takes weeks. VibeMap bridges that gap. What it does: Describe your product idea in plain English, and VibeMap generates the same artifacts a senior PM would hand to engineers—prioritized roadmap, user stories with acceptance criteria, wireframes, database schema, and file structure—before anyone touches an IDE. Ideal for vibe coders or dev teams. Why it's different: - Complete blueprint in one pass - Real-time streaming: See your data in real-time - Intelligent sync: Edit once, and changes cascade across related artifacts automatically - Context-aware: Remembers your project decisions across sessions - Multi-agent architecture ensures domain expertise for individual generations The problem it solves: Most teams either spend weeks manually creating these artifacts across platforms (inconsistent quality, missing pieces) or jump straight to code with vague requirements (leading to rework and coding assistant hallucinations). VibeMap gives you production-ready planning in minutes, so your product has a clear direction from day one. Current state: This is an alpha release. The core generation works well, but I'm actively refining the AI prompts, improving the editing experience, and adding more customization options. I'm looking for early users who are willing to try it out and share feedback—especially product managers, startup founders, and dev teams who've felt the pain of planning bottlenecks. Try it: - Full access: https://vibemap.ai (free coupons available, just ask) - Live demo: https://vibemap.ai/demo (no signup needed) - Demo Video: https://www.loom.com/share/ac490697653445ff9d4589d655dfdef9 What I'd love feedback on: - Does the generated blueprint match what you'd expect from a senior PM? - Are the acceptance criteria detailed enough for your team? - What's missing that would make this indispensable for your workflow? - Any edge cases where the generation falls short? I'm particularly interested in hearing from teams that have tried other AI planning tools or have specific workflows I should support. Thanks for checking it out!
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should_not, a gem to enforce that specs do not begin with "should"