Live Qloo taste graph — no mock data

Dish-Market Fit Advisor

For chefs, food technologists, and restaurant operators: before you invest in a new dish or menu, test it here. Describe the concept you're considering and a city — get real candidate pilot venues, their actual audience affinity, and a launch plan, grounded in Qloo's taste graph instead of a guess.

How this works & where the data comes from
  1. Your concept is resolved to real Qloo taste tags via GET /v2/tags (semantic search).
  2. Those tags are used to find real, named venues in your city via GET /v2/insights (filter.type=place).
  3. Each venue's actual audience age/gender affinity comes from the same endpoint with filter.type=urn:demographics.
  4. Every venue, rating, phone number, and demographic score below is a live Qloo API result — the write-ups (brief, plan, letter) are filled from templates using that data, not generated by an LLM.

Full methodology, known limitations, and source code: GitHub repo.

Try: