Read your market
like an analyst.
In one afternoon.
Insight Engine is a structured research instrument for SaaS founders. Drop in an idea — get a deep, sourced map of the market, the competitors, the unit economics, and the signals that decide whether it’s worth building.
> problem_statement: "Too many APIs to manage"
> solution: "Unified dashboard for API keys"
> running_analysis
CAC > LTV in adjacent benchmarks.
From idea to verdict in three passes.
- 01
Signal collection
Our system collects evidence across the open web — Reddit, G2 reviews, competitor pricing, SEC filings, niche forums — and builds a structured map of the landscape. Every claim is sourced.
5–25 min · 30+ sources - 02
Risk synthesis
Structured analysis passes vet the findings. Failure modes. Founder fit. Action plan. Each pass can only lower the market score — never raise it. Honest by construction.
Honest by default · ~30 sec - 03
Verdict + plan
A combined score (0–10) and one of three calls: pursue, pivot, pass. Plus the single biggest strength, the single biggest risk, and concrete kill-conditions to watch for.
16 sections · 1 page
Three things generic AI tools won’t do for you.
Most idea-validation tools are cheerleaders. Insight Engine is built for the opposite job: surfacing what would make your idea fail.
Real research, not recall
Our system collects evidence from the open web — pricing pages, forums, SEC filings, review sites — and produces a citation-backed report. Every claim links to a real source. No paraphrase, no fiction.
Honest by default
Findings are vetted by structured passes that can only lower the market score — never raise it. Optimism bias is treated as a bug, not a feature.
Tailored to you
Your founder profile — experience, budget, audience, time, risk tolerance — flows into every section. The same idea gets a different verdict for a 40h/week solo bootstrapper than a funded team of three.
The output is truth, not encouragement.
Every report culminates in a brutal, data-backed verdict. No fluff, no “maybe.”
Verdict
Strong founder-market fit based on prior open-source contributions. The core mechanic is well-understood, and technical execution risk is minimal.
Willingness to pay in the “personal productivity” space is notoriously low. Competitors offer similar features for free. Distribution will require massive organic reach.
Built for founders who’d rather know in 20 minutes than discover in 6 months.
You have 3 ideas. You can build one this quarter.
Run all three through Insight Engine in one afternoon. Pick the one whose verdict isn’t “pass.” Save 11 weeks of building the wrong thing.
You’re about to commit a designer + 2 devs for 6 months.
20 minutes of structured analysis versus 6 months of payroll. The math on running it first is laughably one-sided.
Pay per analysis.
New accounts get free credits to start. Public pricing lands at launch. Run as many or as few analyses as you need — no subscription.
See the report on a real idea before deciding if it’s worth more.
Common questions.
How is this different from asking a generic AI tool?
Generic chatbots give you a plausible essay drawn from old recall. Insight Engine collects evidence from the open web in real time, cites every claim with a real source, runs structured passes that are only allowed to lower the market score, and tailors the analysis to your founder profile. Different category of output.
How long does a report take?
10–25 minutes from submission to verdict. You can keep working — analyses run in the background and the page updates when the report is ready.
Is my idea private?
Your idea text and the resulting report are stored on your account. They are not used to train any model.
Can the report be wrong?
Yes. The system can miss niche competitors, misread foreign-language sources, or quote outdated pricing. Treat the verdict as a structured second opinion, not as truth. The kill-conditions and action plan are designed to be tested against reality, not trusted blindly.
Why 16 sections?
Because each one is a place where a different kind of idea dies. Skipping any of them — market size, unit economics, distribution fit, defensibility, founder fit — is how founders convince themselves of ideas that won’t survive contact with the market.