Comparable dimensions
Score need, competition, acquisition, retention, monetization, SEO, platform fit, and more.
01AI product research lab
Turn a rough software idea into a scored research report with market evidence, competitor gaps, monetization checks, SEO angles, and a focused MVP plan.
Smart download organizer
Opportunity report
Users repeatedly describe the same manual sorting pain.
02The decision layer
LabRat keeps evidence, scoring, positioning, and execution context connected so you can compare opportunities without losing the reasoning behind them.
Score need, competition, acquisition, retention, monetization, SEO, platform fit, and more.
See whether to build, narrow, reposition, validate further, or leave an idea behind.
Move from report to positioning, MVP scope, build plan, and launch direction in one workspace.
03Inside the lab
Turn a product brief into structured market, audience, competitor, channel, platform, monetization, SEO, and risk analysis.
Compare different ideas through the same decision framework instead of whichever idea feels loudest today.
Capture recurring pain, target audiences, evidence links, tags, and confidence scores before the opportunity disappears in a bookmark list.
Carry the strongest research conclusions forward into a concise MVP, product positioning, and context your code agent can actually use.
Hosted Web and mobile use LabRat-managed AI. Eligible accounts can connect an OpenAI-compatible or local model only inside LabRat Local.
04Research protocol
Every run follows the same decision discipline, so a promising idea earns its place instead of winning by enthusiasm alone.
Describe the product, audience, platform, business model, constraints, and the assumptions you want challenged.
Analyze demand, alternatives, gaps, pricing, acquisition, technical difficulty, SEO, and the strongest risks.
Compare the score, inspect the evidence, and turn the conclusion into an MVP or a reason to stop early.
→Your next move