One line
25 wordsCullibrate is a fast, local-first photo-culling workspace for Mac and Windows — grouping, four review modes, face-aware checks, and Lightroom handoff — built solo and priced at $29/year.
01 / Press
Everything required to write about Cullibrate accurately: boilerplate you can paste, facts you can check, and a plain list of the things we will not claim.
02 / Boilerplate
Three lengths, all accurate as written. Please use them as they are rather than paraphrasing the product claims.
Cullibrate is a fast, local-first photo-culling workspace for Mac and Windows — grouping, four review modes, face-aware checks, and Lightroom handoff — built solo and priced at $29/year.
Cullibrate is a desktop culling workspace for photographers who review thousands of frames per shoot. Culling runs entirely on-device — original files never upload — with grouping of similar frames, four review modes including face-level checks, ratings, flags, filters, and XMP handoff to Lightroom. It was built by Daniel Robinson, a New Zealand software engineer and lifelong photographer who spent two years at Narrative working on culling software, and whose first project as a developer was a culling prototype. Built solo with AI-agent tooling, Cullibrate is priced accordingly: a $29/year founding plan, with a 7-day trial that needs no credit card.
Cullibrate is a desktop photo-culling application built on Tauri 2 with a Rust image pipeline. RAW decode, thumbnail generation, similarity grouping, and face detection all run on-device; original files never leave the machine. The optional Gallery service uploads only the finished JPEGs a photographer deliberately chooses to publish. It ships for macOS on Apple Silicon and Windows on x64, and is developed by a single engineer working with AI-agent tooling.
03 / Facts
04 / Story
Not a pitch list — these are the parts of the story that hold up to questions, with the founder writing that stands behind each one.
The category settled around $150–250 a year. Cullibrate is $29. That is not a promotional rate hiding a jump: it follows from one engineer plus AI tooling being able to build and support what used to need a team, and the founder published the uncomfortable reasoning rather than leaving it to speculation — including the part he does not yet know.
Pricing, wide openA Sony Cyber-shot in 2002, greeting cards sold at a market to fund the next camera, and a first-ever software project a decade later that was — without the author noticing the pattern — a photo-culling prototype. Two years at Narrative working on culling software sat in the middle. Cullibrate is that first idea, finished.
A founding storyMost of the category is racing to have AI pick the photographs. Cullibrate makes a deliberately different bet: the machine handles grouping, faces, and search, while the photographer keeps the selection. It is a position about what the photographer is for, and it is arguable — which is what makes it worth writing about.
Culling isn’t editing05 / Limits
Published so nobody has to guess where the marketing stops. If you see any of these attributed to Cullibrate, it did not come from us — and we would like to know.
06 / Contact
Interviews, screenshots at print resolution, or a question you would rather check before publishing — write directly and a person answers.
contact@cullibrate.comReviewing Cullibrate? Ask and we will set up a founding licence, no strings and no conditions on what you write. We would rather have an honest review than a kind one.
Daniel Robinson is a software engineer and lifelong photographer building the culling workspace he first prototyped a decade ago. He spent two years at Narrative working on culling software used by photographers worldwide, and now builds Cullibrate solo from New Zealand.