Curateria is a Melbourne-first dining guide built on AI that actually reads. Every Google review, every Instagram caption, every Reddit thread. Then hands the result to human editors to argue with.
Every “best Italian in Melbourne” list reads the same: ten restaurants, half of them paid, the other half copy-pasted from a 2019 listicle. Someone's algorithm decided generic was safer than specific, and now nobody can tell you whether the pasta is actually good. Just that the room is “vibrant.”
Meanwhile, the people who actually know (the ones eating six nights a week, comparing kitchens, watching menus shorten and prices creep) write in scattered places: long Reddit threads, restrained Google reviews, Instagram captions nobody scrapes properly. The signal is there. It's just not being read.
So we built what we wanted to read. An AI that ingests every review and caption across Melbourne, scores each restaurant on five factors, and hands the output to a small editorial team who turns it into a weekly digest, a hundred-and-thirty curated lists, and a search that finally understands what “Korean in Richmond, Tuesday lunch, under $40” actually means.
Our model ingests Google, Tripadvisor, Reddit, and Instagram captions across every restaurant in Melbourne. Not summarised: read in full, tokenised by dish, scored for sentiment intensity.
Every review, read in fullFood, atmosphere, value, service, positivity. Each fed by a different source mix, weighted by recency and reviewer history. One number, five honest sub-scores.
Read the methodology →The score is a starting point, not the answer. Curateria Editorial · an AI corpus reader plus a Melbourne-based founder · argues with the model and writes the lists you actually want to read.
130 lists · 1 city · monthly refreshFor three years, Tipo 00 sat in that strange Melbourne bracket: name-checked by every editor, never quite the bowl people fought to book. Then in February the wait list quietly went from “call after 6” to “two weeks, maybe.” The Curateria Score moved from 4.4 to 4.7 in twelve weeks…
→ Read the LowdownOr browse one of 130 curated lists, written by humans, scored by AI, visited in person.