Startup MRI
Startup Idea Evaluator β Score Your Idea in 60 Seconds
A structured 6-dimension evaluation of your idea β market opportunity, competition, distribution, monetization, build difficulty, and founder fit β in under 60 seconds. Free, no signup.
Last updated Β· August 4, 2026
Quick answer
What is a startup idea evaluator?
A startup idea evaluator is a tool that turns a one-sentence idea into a structured evaluation across the dimensions that determine whether the idea is worth building. A startup idea evaluator typically scores market opportunity (is there a real demand for this?), distribution (can the founder reach the buyer?), monetization (does the business model produce revenue at the chosen price?), competition (is the market already saturated?), build difficulty (how long will the MVP take and what skills does it require?), and founder fit (does the founder's skills, time, and audience match the work?). Each dimension is scored on a 0β100 scale, and the dimensions are combined into an overall startup score. The output is a structured report, not a verdict: the report names the assumption most worth testing next, the risks that matter most, and the smallest experiment that can produce evidence before any code is written. Yibud's startup idea evaluator is called Startup MRI. It produces the report in under 60 seconds, free, with no signup. The scores come from a deterministic rule engine β the same inputs always produce the same report.
Key takeaways
What a startup idea evaluator does, in plain language
- A startup idea evaluator scores an idea across 6 core dimensions β market opportunity, competition, distribution, monetization, build difficulty, and founder fit β and returns a single overall score plus a per-dimension breakdown.
- A good evaluator names the critical assumption, the one whose failure would invalidate the rest of the plan. The score 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 startup idea evaluator does not predict success. It surfaces the assumptions your plan most depends on so you can test the right one first.
- Free evaluators that pair scoring with a structured report (risks, MVP scope, first-customer plan) are most useful to first-time founders, who would otherwise pay consultants thousands of dollars for the same analysis.
How it works
How Startup MRI evaluates ideas
Six conceptual dimensions the evaluator scores. The numbers come from a deterministic rule engine so the same inputs always produce the same report.
Dimension 1
Market opportunity
Is there real demand for what you want to build? The evaluator looks at the size and reachability of the target audience and the strength of the workarounds people already use. A large market with weak workarounds scores high; a small market with strong incumbents scores low.
Dimension 2
Competition
How saturated is the market you are entering? The evaluator considers the number of direct competitors, how well-funded they are, and how differentiated the planned product is. A crowded market with a sharp angle still scores well; a crowded market with no angle does not.
Dimension 3
Distribution
Can the founder actually reach the buyer? The evaluator scores the chosen acquisition channel against the named target audience. SEO plus a content lead magnet is one profile; cold outreach to a niche B2B segment is another. The two are not interchangeable.
Dimension 4
Monetization
Does the business model produce revenue at the chosen price? The evaluator looks at the monetization model (subscription, freemium, one-time, ads, marketplace take rate) and the willingness-to-pay signal for that model in the chosen market.
Dimension 5
Build difficulty
How long will the MVP take, and what skills does it require? The evaluator scores the technical depth of the planned product and the founder's technical background against each other. A non-technical founder building an AI infrastructure product is a different signal than the same founder building a no-code tool.
Dimension 6
Founder fit
Does the founder's skills, time, and existing audience match the work? The evaluator scores the fit between the founder and the planned product. A domain expert with a deep network in the target market scores well; a first-time founder with no audience scores the inverse.
Who it's for
Built for founders evaluating before they build
Four personas the evaluator is tuned for, each with a different set of assumptions to test first.
First-time founders
First-time founders
You have an idea but no prior reference for what a 'good' idea looks like. The evaluator gives you a structured, repeatable read on whether the idea is worth the next three to six months of your time.
Indie hackers
Indie hackers and side-project builders
You have 5β10 hours a week and a strong preference for not wasting either. The evaluator gives you a 60-second read on whether the idea is worth the next month, and surfaces the one assumption most worth testing first.
Startup teams
Startup teams choosing between ideas
You have two or three candidate ideas and limited runway. The evaluator scores each one across the same six dimensions, so the team can compare them on a like-for-like basis rather than on gut feel.
Non-technical
Non-technical and no-code founders
The report is written in plain language and explains what every score means. You do not need a data or engineering background to use it. The output is a decision, not a number.
Why evaluate
Why evaluate a startup idea before building it
Most failed startups do not fail at launch. They fail at the keyboard β months earlier, when the founder chose to build a product nobody had asked for.
Reason 1
Reduce the risk of building something nobody wants
A founder who evaluates first learns in days what a builder who skips evaluation learns in months. The 3β6 months you save is the 3β6 months you can spend on the next idea β or on a different one entirely.
Reason 2
Identify the assumptions your plan most depends on
Every startup is a chain of assumptions. Evaluation surfaces the chain and names the single critical assumption β the one whose failure would invalidate the rest of the plan. Testing that one assumption first is the highest-leverage activity a founder can run.
Reason 3
Prioritize the cheapest validation experiments
Not every assumption deserves a six-month build. Evaluation tells you which assumption to test first and which experiment is cheapest to run. A landing page, a problem interview, or a 30-day concierge is usually enough to produce evidence before any code is written.
FAQ
Frequently asked questions about startup idea evaluation
Short answers, in the same vocabulary the Startup Validation hub uses. Longer answers live in the linked articles.
- How do you evaluate a startup idea?
- Run a free Startup MRI evaluation first β it scores your idea across 6 dimensions in under 60 seconds. Then run five problem interviews using the Mom Test script from the Startup Validation hub, and confirm willingness to pay with a small pricing experiment. Evaluation is a sequence of cheap tests, not a single event.
- What makes a startup idea valuable?
- A valuable 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 AI evaluate startup ideas?
- AI can produce a structured report that names the assumptions most worth testing next. The scores themselves come from a deterministic rule engine, not from a language model β the same inputs always produce the same report. 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.
- Is startup evaluation necessary?
- Evaluation is not required, but it is the cheapest insurance a founder can buy. A six-month build that nobody asked for costs the entire runway. A two-week evaluation costs the founder's time and produces a clear go / no-go signal. The cost of skipping evaluation is paid later, in the form of a launch that does not convert.
- How accurate are startup evaluation tools?
- A startup evaluation tool is accurate at producing a structured report; it is not accurate at predicting whether the startup will succeed. The scores come from a deterministic rule engine so the same inputs always produce the same output. Treat the report as a list of risks and the assumption most worth testing next β not as a verdict on the idea.
- What is the difference between a startup idea evaluator and a startup idea validator?
- The two terms describe the same activity from different angles. 'Validator' emphasizes the test: does the idea pass the four named tests (problem, customer, willingness to pay, founder execution)? 'Evaluator' emphasizes the score: how does the idea rate across the six dimensions? Yibud ships both, and the underlying engine is identical. The choice of label is a matter of vocabulary, not a difference in capability.
- What should I do after evaluating my startup idea?
- Read the report's top three risks. Pick the single critical assumption named in the report. Run the cheapest experiment that tests that assumption β usually a problem interview, a landing page, or a 30-day concierge. The evaluation produces a list; the experiment produces evidence; the evidence is what you act on.
- How long does it take to evaluate a startup idea?
- A free Startup MRI evaluation takes about five minutes and produces a 6-dimension report. The full sequence β interviews, landing page, pricing experiment, 30-day concierge β takes two to six weeks. The evaluation is the first five minutes; the sequence is the next two to six weeks.
What you receive
What's in every Startup MRI evaluation
Six sections, plain language, every score traceable to a specific fired rule in the rule engine.
Six named scores
Market opportunity, competition, distribution, monetization, build difficulty, and founder fit β each on a 0β100 scale.
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.
MVP blueprint
A small list of features to build first, a list to skip, and a complexity estimate.
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 evaluation before you run your own
Three worked examples β one for a SaaS idea, one for an AI startup, one for a mobile app β built around anonymised personas.
SaaS example
SaaS validation report example
An anonymised niche vertical-SaaS idea β overall 74, with monetization as the weakest dimension and a 30-day concierge as the recommended first experiment.
Open the example report βAI example
AI startup validation report example
An anonymised SMB sales-team AI wrapper β overall 67, with competition and monetization as the two weak dimensions and a paid-pilot as the test.
Open the example report βMobile example
Mobile app validation report example
An anonymised consumer daily-trigger mindfulness app β overall 62, with freemium unit economics and incumbent feature-parity as the two assumptions to test first.
Open the example report β
Limitations
What a Startup MRI evaluation 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 β 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 β not to a founder's specific industry or geography.
Evaluate your startup idea with Startup MRI
Five short questions. A structured 6-dimension report in under 60 seconds. The same analysis a consultant would charge thousands for, free.