How the score is produced

Every analysis runs the same repeatable model. The same inputs always produce the same scoring behaviour, so two ideas can be compared on equal terms rather than on how persuasively each was described.

Inputs: You provide the business type, location, and core economics — pricing, expected volume, gross margin, and fixed costs. These frame the analysis.
Market signals: We add lightweight public-data signals — geocoding the location and measuring competitor density nearby — to sanity-check demand and saturation.
Scoring: Economics and market signals feed a fixed rubric that yields a 0–100 viability score, revenue and profit ranges, break-even months, and the main risk factors.

Where the data comes from

Market signals use public mapping data: location geocoding via LocationIQ and competitor counts via Geoapify. We do not buy proprietary datasets or scrape private sources. Your economic assumptions stay yours — they drive the estimate but are never sold or shared.

Principles we hold to

Consistency: the same inputs produce the same score, so results are comparable over time.
Transparency: every score is backed by visible inputs, ranges, and named risk factors — never an unexplained number.
Restraint: we surface only signals we can source from public data, and we say so when a signal is missing.

What the score is not

A viability score is decision support, not a guarantee or financial advice. It cannot see your execution, timing, or local nuance a map can’t capture. Treat it as a fast, consistent way to compare ideas and spot obvious risks before you commit serious time or money.

Put the methodology to work

Run your own idea through the model, or talk to us about evaluating a portfolio of locations or ideas at scale.