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Startup MRI

Startup Idea Validator — Test Before You Build

A structured 7-dimension analysis of your idea — validation, market, competition, distribution, monetization, build difficulty, founder fit, and overall opportunity — in under 60 seconds. Free, no signup.

Last updated · August 29, 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 validation, 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 7 dimensions — validation, 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 — the scoring is deterministic, so the same inputs always produce the same report.

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 7-dimension score

    Validation, 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.

Why a ladder

Validation is a sequence of cheap tests, not a single event

Each Startup MRI report identifies one critical assumption — the dimension where the founder's inputs are weakest. The seven rungs below are the seven dimensions the engine scores, in the order validation should run: cheapest behavior-signal test first, most expensive last. The rung that matches the report's critical assumption is the rung to climb this week. The rung above it is the next on the bench. Run the validator and the ladder collapses to a single starting point.

The validation test ladder

Which assumption should you test first?

Seven rungs, one per dimension the validator scores. Each rung names the question it answers, the cheapest behavior-signal test that produces evidence, and the signal that says the rung holds versus the one that says it doesn't.

  1. Rung 1

    Does the problem actually exist?

    Question
    Is the pain real, recurring, and currently unsolved for the people you are building for?
    Cheapest test
    Five problem interviews using the Mom Test script — never pitch, only ask about their life and the last time the problem showed up.
    Cost & time
    Days. The founder's time plus five 25-minute conversations.
    Pass signal
    Four or more describe the same vivid moment unprompted. Each names a workaround they have already built.

    Fail signal

    Polite interest, but no concrete moment. People cannot remember the last time it came up.

  2. Rung 2

    Is the market reachable at the planned price?

    Question
    Is the named buyer segment narrow enough to find and large enough to support the chosen business model?
    Cheapest test
    A landing page priced at the planned tier, driven to 200 qualified visitors through one realistic channel.
    Cost & time
    Days to two weeks. A domain, a page, and small-channel spend.
    Pass signal
    Five to ten percent of qualified visitors leave their email or hit pre-order at the real price.

    Fail signal

    Below one percent despite real traffic from the named buyer. Either the channel is wrong or the segment is too vague.

  3. Rung 3

    Is your angle sharp enough to win attention?

    Question
    Compared to what people use today, can you name the specific reason a buyer would switch?
    Cheapest test
    Five short conversations with users of competing products. Ask why they picked that one and what would make them switch.
    Cost & time
    Days. Five 15-minute conversations, no incentive needed.
    Pass signal
    Each names a specific reason they would switch — and the reason is something the planned product actually delivers.

    Fail signal

    “I don't know” or “nothing really.” The wedge is too vague to articulate.

  4. Rung 4

    Can you actually reach the buyer on your channel?

    Question
    Does the chosen acquisition channel match how the named buyer actually discovers and evaluates products?
    Cheapest test
    One channel-shaped experiment — ten cold DMs, one SEO post, one subreddit thread, one Product Hunt draft — and a real response count.
    Cost & time
    One to two weeks. Founder time plus, for paid channels, a small budget.
    Pass signal
    At least thirty percent of qualified buyers respond or engage. Replies mention the actual pain.

    Fail signal

    Below ten percent from qualified buyers. The channel does not match the segment, or the message is off.

  5. Rung 5

    Will the buyer pay the planned price?

    Question
    Is the willingness to pay real at the business-model price — not at a discount?
    Cheapest test
    A 30-day concierge sold at the planned monthly or annual price to five buyers. A Notion template, a Loom video, a no-code MVP, or a manual service — whatever delivers the value without the full build.
    Cost & time
    Three to four weeks. Founder time plus a payment processor.
    Pass signal
    Five paying buyers at the real price. Three or more say they would renew unprompted.

    Fail signal

    Conversion only at a steep discount, or no renewals after the first cycle. The price or the value is wrong.

  6. Rung 6

    Can you actually build the MVP in your real window?

    Question
    Is the smallest shippable version of the product buildable inside your time, skill, and runway constraints?
    Cheapest test
    One-week prototype of the single riskiest component — the part you do not yet know if you can build.
    Cost & time
    One to two weeks. Founder time only.
    Pass signal
    Real progress on the risky component in a week. The full MVP fits inside your runway.

    Fail signal

    Stuck on the risky component after a week, or the full MVP is more than twice your runway.

  7. Rung 7

    Does the founder's time and audience match the work?

    Question
    Does the founder's existing skills, audience, and shipped history fit the work this specific product demands?
    Cheapest test
    A 30-day shipping calendar with at least three advisory conversations — one industry, one technical, one distribution.
    Cost & time
    Three to four weeks. Founder time plus three short advisory calls.
    Pass signal
    A ship-able milestone at day thirty plus warm intros to the named buyer from at least one advisor.

    Fail signal

    The milestone slips past thirty days, or no advisor will stake their name on the work.

Find your rung

The validator's job is to point at one rung

Run the validator. The report's critical assumption is the rung you climb this week. The rung the engine rates second-weakest is the rung for week two. Re-run the validator after each rung produces evidence — the per-dimension shift tells you which rung was producing the strongest signal.

The ladder is yibud's practical framework for sequencing validation tests. It maps each rung to one of the seven dimensions the rule engine scores. The cheapest behavior-signal test sits at the bottom; the most expensive sits at the top. None of the rungs predict startup success — they exist to convert the founder's plan into a sequence of evidence-producing experiments.

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 7 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 7-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

    Validation, 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 7-dimension report in under 60 seconds. Free, no signup, and the same inputs always produce the same report.

Start the free analysis →Use the checklist →Read the Startup Validation hub →See the decision chain →

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 7-dimension report. The sibling landings below use the same engine but frame the output differently — for founders who say 'evaluate', who want a numeric score, or who are comparing rule-based scoring with AI idea validators.