[V

[Vibemap.ai] AI tools for founders – Turn ideas to dev specs in 10 min

Hacker News

[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!

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent, user, context · Missing: mac, agents, macos
91%91% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: personal, video, users · Missing: mobile apps, ios, entrepreneurs
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

3dot5
3dot536%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn ideas into product specs your AI can build

Indie Hackerscommitment-side-project
Speculate
Speculate35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ideas in, Specs out

Product Hunt+3
Renas Ai
Renas Ai52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-in-one AI Tools

Indie Hackerscommitment-full-time
Neuro AI
Neuro AI45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Tools App

Indie Hackers1ai
Amesn
Amesn47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn ideas into a Brand

Indie Hackers1$1,000/moe-commerce
300aidirectories
300aidirectories20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI tools

Indie Hackers
topaiinfluencers
topaiinfluencers32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TOP AI Tools

Indie Hackerscommitment-side-project
co.dev
co.dev78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn your ideas into full-stack apps

Product Hunt+712Software Engineering
Zekai
Zekai17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

2,180+ AI tools reviewed & scored 1–10 for 38 professions

Product Hunt+3
sh
should_not, a gem to enforce that specs do not begin with "should"36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

should_not, a gem to enforce that specs do not begin with "should"

Hacker News3