Free tool

Location / Catchment Scorer

Pincode + cuisine + format โ†’ competitor count from Google Places + rent-to-revenue feasibility flag. Pulls real competitor density, not guesses.

Get the location due-diligence checklist

35-point checklist โ€” pincode demographics, footfall heuristics, parking, kitchen exhaust, signage rules โ€” before you sign the lease.

Common questions

What's a healthy rent-to-revenue ratio?

Indian restaurants stay healthy under 8%. 8-12% is tight โ€” every weekend matters. Above 12% the business is structurally fragile; the only escape is a 30%+ revenue lift, which most operators can't engineer fast enough.

How is competitor count calculated?

When the GOOGLE_PLACES_API_KEY is available, we query Google Places for matching cuisine restaurants in the pincode. When not, we fall back to a heuristic from city tier + cuisine mainstream-ness. The result page tells you which source was used.

Why does the same pincode score differently for different cuisines?

Because saturation is cuisine-specific. A pincode that's saturated for North Indian might have zero credible Bengali or Andhra options โ€” that's the gap the scorer surfaces.

Can I run this for a place I'm scouting before signing?

Yes. That's the use case. Run it for each shortlisted address, save the share links, compare them on a single page.

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Restaurant location scorer โ€” competitor density (India) | Forkcast