Built HotelRoost (https://hotelroost.com/) — independent hotel rankings from guest reviews. Hotels can’t buy a higher place. Affiliate booking links fund it; commission is the same whichever hotel you pick. What it does Scores rated hotels 0–10 with a public formula (review count shrinks sparse ratings toward the country mean; partial country re-base; no price, no stars inside the score): https://hotelroost.com/methodology City rankings + 25k+ neighbourhood pages (/area/..., 1 km / 2 km OSM radii) Tryable without signup (also an MCP endpoint: https://hotelroost.com/mcp) Real numbers (snapshot 2026-10-30) Catalog 2,807,439 hotels · 1,812,336 rated · 230 countries Dataset median 8.16/10 · ≥8.0: 72.15% · ≥9.0: 0.79% Rome: 15,085 rated · city median 8.33 Tokyo: 4,039 rated · city median 7.97 The insight City averages hide where guests actually rate stays higher. Rome city median 8.33, but within 1 km of Prati / Vatican-area centres the median is 8.66 (400 rated each). Trastevere 8.50, Testaccio 8.44. On another cut, Campo Marzio leads well-reviewed areas at 8.43, while Castro Pretorio has the most 100+ review hotels (454) with median 7.62 — more inventory, lower typical score. Tokyo city median 7.97; Kaminarimon’s well-reviewed stock hits median 8.58, while Shibuya’s area page is 7.90. Examples: - https://hotelroost.com/hotels/italy/rome - https://hotelroost.com/stay/italy/rome - https://hotelroost.com/area/italy/rome/prati - https://hotelroost.com/stay/japan/tokyo Feedback I’m after Is the methodology page understandable in under 2 minutes? Would you trust a neighbourhood median more than a city “top hotels” list? Anything on the city/area UX that feels like a booking-site clone vs a research tool? I’ll hang out in the comments. Roast the score formula if you want — that’s the interesting part!   submitted by   /u/jrkral2 [link]   [comments]