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Startup MRI

Startup Idea Validator — Test Before You Build

A structured 8-dimension analysis of your idea — market, competition, distribution, monetization, build difficulty, founder fit, and overall opportunity — in under 60 seconds. Free, no signup.

Last updated · July 31, 2026

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Quick answer

What is a startup idea validator?

A startup idea validator is a tool that turns a one-sentence idea into a structured evaluation across the dimensions that determine whether the idea is worth building. The dimensions usually include market demand, competition, distribution, monetization, build difficulty, founder fit, and overall opportunity. Each dimension is scored on a 0–100 scale and combined into an overall score, with named risks, an MVP blueprint, and a first-customer plan. Yibud's startup idea validator is called Startup MRI. It produces the report in under 60 seconds, free, with no signup. The scores come from a deterministic rule engine, not from a language model — the same inputs always produce the same report.

Key takeaways

What a startup idea validator does, in plain language

  • A startup idea validator scores an idea across 6–8 dimensions — market, competition, distribution, monetization, build, founder fit, opportunity — and returns a single overall score plus a per-dimension breakdown.
  • The best validators name a single critical assumption, the one whose failure would invalidate the rest of the plan. Scoring is a means, not the end.
  • Deterministic rule engines are more trustworthy than LLM-generated scores: the same inputs always produce the same report, and every score traces back to a specific fired rule.
  • A validator does not predict startup success. It surfaces the assumptions your plan most depends on so you can test the right one first.
  • Free validators that pair scoring with a structured report — risks, MVP scope, first-customer plan — are most useful to solo founders, who would otherwise pay consultants thousands of dollars for the same analysis.

How it works

Four steps from idea to decision

Every idea runs through the same deterministic framework. The AI layer explains your results in plain English; it never decides the numbers.

  1. Step 1

    Describe your idea

    Write one sentence about what you want to build and who it is for. The clearer the input, the sharper the output.

  2. Step 2

    Answer five short questions

    Target audience, monetization model, distribution channel, technical background, and the risks you already see. Five minutes total.

  3. Step 3

    Get your 8-dimension score

    Market, competition, distribution, monetization, build difficulty, founder fit, opportunity, and overall. Each dimension 0–100, derived from a transparent rule engine.

  4. Step 4

    Read your decision report

    Your top three risks, the critical assumption, the MVP blueprint, and a 4-week first-customer plan you can start Monday.

Who it's for

Built for first-time founders

Startup MRI is for the people who would otherwise build for six months on a guess. The audience is specific on purpose.

  • Indie hackers

    Solo builders shipping side projects

    You have an idea, 5–10 hours a week, and a strong preference for not wasting either. The validator gives you a 60-second read on whether the idea is worth the next month.

  • SaaS founders

    Early-stage SaaS and micro-SaaS

    Recurring revenue changes the assumption stack. The validator scores the dimensions SaaS founders actually need to test: willingness to pay, distribution, and churn risk.

  • AI builders

    AI startup founders

    AI products add model-layer risk, defensibility questions, and a different distribution profile. The validator covers these as first-class dimensions, not as afterthoughts.

  • First-time founders

    Non-technical and technical first-time founders

    The report is written in plain language and explains what every score means. You do not need a data background to use it. The output is a decision, not a number.

Why validate

Why validate a startup idea before building it

Most failed startups do not fail at launch. They fail at the keyboard — months earlier, when the founder chose to build a product nobody had asked for.

  1. Reason 1

    Reduce wasted development time

    A founder who validates first learns in days what a builder who skips validation learns in months. The 3–6 months you save is the 3–6 months you can spend on the next idea — or on a different one entirely.

  2. Reason 2

    Understand the customer before you code

    Validation forces a conversation with the people you are building for. The conversation produces a narrower ICP, a clearer distribution channel, and a willingness-to-pay test you can run before writing a line of code.

  3. Reason 3

    Test the assumptions that matter most

    Every startup is a chain of assumptions. Validation identifies the single critical assumption — the one whose failure would invalidate the rest of the plan — and points you at the experiment that tests it first.

FAQ

Frequently asked questions about startup idea validation

Short answers, in the same vocabulary the Startup Validation hub uses. Longer answers live in the linked articles.

How do I validate my startup idea?
Run a free Startup MRI analysis first — it scores your idea across 8 dimensions in under 60 seconds. Then run five customer interviews using the Mom Test script from the Startup Validation hub, and confirm willingness to pay with a small pricing experiment. Validation is a sequence of cheap tests, not a single event.
Is an AI startup validator accurate?
An AI validator is accurate at producing a structured report; it is not accurate at predicting whether your startup will succeed. The scores come from a deterministic rule engine so the same inputs always produce the same output. The accuracy of the report is in its structure, not in its prediction of outcomes. The output is a list of risks and the assumption most worth testing next — not a verdict.
What makes a startup idea good?
A good startup idea passes four tests: the problem is real and felt (people have already built workarounds), the customer is reachable (you can name a channel they actually use), the willingness to pay is concrete (people trade real money for the workaround), and the founder can execute (the founder has the skills, the time, or the audience to ship). Startup MRI scores all four and names the one that is weakest.
Can I validate a SaaS idea with this tool?
Yes. Startup MRI is designed to handle SaaS-specific assumptions, including willingness to pay, distribution channel, churn risk, and founder fit. For a deeper playbook, read the pillar article on SaaS validation in the Startup Validation hub.
Should I build before validation?
No. The cost of building before validation is the months of runway you spend on an idea that may have no customers. Validation can find that out in days. The discipline of validation is to convert as many polite conversations as possible into real customer signal before you write a line of code.
How is Startup MRI different from ChatGPT?
ChatGPT generates prose from a language model; the prose sounds like an analysis but is not reproducible. Startup MRI uses a deterministic rule engine for every score, so the same inputs always produce the same report. The AI layer in Startup MRI polishes the prose; it never decides the numbers, the verdict, or the recommendations. The result is a structured decision report, not a freeform essay.
Is the startup idea validator free?
Yes. The free analysis takes about five minutes and produces a structured 8-dimension report. No signup, no payment, no email required for the first report. The full report is yours to keep.
How long should startup validation take?
Plan for two to six weeks of structured work: one to two weeks on problem interviews, one to two weeks on a landing-page or smoke test, and one to two weeks on a willingness-to-pay test. A free Startup MRI analysis takes 60 seconds and points you at the assumption most worth testing first. The full sequence is documented in the Startup Validation hub.

What you receive

What's in every Startup MRI report

Six sections, plain language, every score traceable to a specific fired rule in the rule engine.

  • Eight named scores

    Market, competition, distribution, monetization, build difficulty, founder fit, opportunity, and an overall score — each on a 0–100 scale. The overall score is the composite, not the point.

  • Per-dimension breakdown

    Every dimension comes with a short plain-language explanation of what raised or lowered the score, so you know which assumption to test first.

  • Three top risks

    The three risks most likely to invalidate the plan, each with a named failure mode and a recommended experiment to test it.

  • MVP blueprint

    A small list of features to build first, a list to skip, and a complexity estimate — calibrated to the founder's time and skills.

  • First-customer plan

    The recommended acquisition channel, why it was chosen, and a 4-step plan you can run in the first 6 weeks.

Example output

See a real example report before you run your own

Three worked examples — one for a SaaS idea, one for an AI startup, one for a mobile app — built around anonymised personas. Each shows every section your own report will contain.

Limitations

What a Startup MRI report is not

The honest list, so you do not mistake the report for something it is not.

  • It does not predict whether your startup will succeed. No tool can. Treat the report as a list of risks and the assumption most worth testing next — not as a verdict.
  • It does not replace customer conversations. The report identifies assumptions; the conversations produce evidence.
  • It is not a market-research report. The engine has no live data feeds; the scores come from the inputs the founder typed in.
  • It is not personalised advice. The recommendations are calibrated to the founder's inputs and a small set of named defaults — not to a founder's specific industry or geography.

Run the validator on your idea

Five short questions. A structured 8-dimension report in under 60 seconds. The same analysis a consultant would charge thousands for, free.

Start the free analysis →Use the checklist →Read the Startup Validation hub →

Vertical validators

Already know your product type?

Six vertical-specific landings, each tuned to the assumptions a generic validator skips. The same engine, the same rule-based scoring, vertical-specific questions and FAQ.

Related tools

Same engine, different shape

The validator produces a structured 8-dimension report. The sibling landings below use the same engine but frame the output differently — for founders who use the word 'evaluator' instead of 'validator', or who want a numeric score instead of a full report.