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How Vibe Ideas scores startup ideas

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How Vibe Ideas scores startup ideas

Why a confidence score at all?

The hard part of evaluating an idea is comparing it. A score, even an imperfect one, lets you scan dozens of ideas and triage which deserve real validation. The Vibe Ideas confidence score is a single 0–100 number weighted from five signals. We never claim it predicts success — we claim it ranks ideas consistently, which is what a busy founder actually needs at the start of an evaluation.

The five signals

Each is scored 0–20. We deliberately omit "founder fit" and "timing" because both are subjective and undermine the score's usefulness as a comparison tool.

How the weights work

We weight all five signals equally because no single signal reliably outperforms the others across categories. A weak market with strong distribution can absolutely succeed (think single-creator SaaS), and a strong market with weak distribution can absolutely fail. Equal weighting protects you from over-fitting to the latest fashionable signal.

Reading the score

A 60 is not "60% chance of success" — it is "this idea ranks in the upper-middle of generated ideas in the same category." Treat the score as a sorting tool, not a prediction.

What the score deliberately ignores

The score does not include founder fit, timing, geographic constraints, or capital availability. Those matter enormously, but they are personal, not properties of the idea. We keep them out so the same idea gets the same score regardless of who is reading it. You should layer your own personal-fit filter on top before deciding which idea to commit to.

How to use the score in practice

Generate 20 ideas, sort by score, kill the bottom 10 immediately, run a 5-minute gut check on the next 7, and reserve the top 3 for a real validation sprint. The score is a triage tool — it earns its keep by saving you days of evaluating ideas that would have been killed in the first conversation anyway.

Common misreadings

Key takeaways

Related reading

For acquisition cost expectations behind the score, read Finding your first 100 customers. For monetisation signal context, see SaaS pricing models explained. For market sizing depth, read TAM, SAM, and SOM explained.

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