Public dataset of 42+ validated business ideas sourced from Reddit pain threads and App Store reviews, AI-scored across opportunity, problem severity, feasibility, and timing. SaaS, micro SaaS, app ideas, indie hacker wedges. Live at businessideasdb.com.

A diagnostic framework for EdTech founders, university administrators, and investors navigating higher education. Built at ASU, presented at SXSW EDU 2026.

Validate whether a demand is real before you build it — a Claude Code plugin: two evidence pillars, a 7-axis scorecard, an adversarial red-team, an answer-first report. Zero login. · 在动手之前验证「这个需求是不是真的」的 Claude Code 插件:双支柱证据 + 7 项评分卡 + 对抗红队 + 答案优先报告,零登录。

Open-source AI coding skill that reviews product and feature risk before agents start building.

Intelligently validate startup ideas, analyze market size, competitors, technical feasibility, and business models

AI-powered idea validation engine with pluggable LLM and search providers

GoShipOrSkip is an AI-powered app idea validation engine that analyzes real user reviews from platforms like Google Play, App Store, and Product Hunt to uncover complaints, missing features, and market opportunities — before you write a single line of production code.

Productfound — AI skill for market research from 1,000 failed startups. Find the gap before you build.

This tool helps you evaluate AI-based startup ideas instantly using Gemini LLM. Just input your idea, and get insights like:Market competitors,Solved pain points,Monetization strategies,Improvement suggestions ,30-sec investor pitch,Visual validation scoring (bar/pie charts) Built with Streamlit

Full idea-to-deployed-MVP pipeline for Claude Code. Type /vibe for 9-stage workflow: validate → brainstorm → prep → plan → build (TDD) → QA → roast → ship → monitor

startup idea validation generator

A demand-validation studio for Claude Code. Prove real cold demand before you write code, kill weak ideas cheap, and learn what to build — and what not to — then loop. Refine → Research → Validate.

🧪 Validate product ideas with AI-powered consumer behavior simulation. Get 90% accuracy of live focus groups in minutes, not months. Built with Next.js and peer-reviewed science.

personaprobe — AI user research on a Korean-demographics synthetic persona panel. https://personaprobe.vibestash.app

Rigor for building, in the agent you already use. Validate an idea, grill it into a buildable spec, then build and deploy it. Portable Agent Skills, a Pi package, and a CLI. BYOK, MIT.

🔭 LaunchLens — a LangGraph AI agent that gives product ideas a GO/NO-GO verdict by fusing live demand (Google/SerpApi) with supply (Amazon/Oxylabs) data, with memory across turns.

A lightweight market-validation website built to assess demand, user intent, and pain points in the sanitary and washroom materials industry (pipes, fittings, drainage, and related infrastructure). The project focuses on learning what contractors, builders, and homeowners actually want before building a full product.

An AI-powered startup builder that transforms raw ideas into validated, market-ready ventures through problem discovery, market intelligence, execution planning, stress testing, and launch automation.