Recipe Book is a video data platform where you can semantically search 25M+ clips, iterate on the results, and buy the exact dataset you need to train your model in one sitting. Search -> rate a few clips -> we train a probe on your votes to re-rank the whole catalog to your taste. No contact forms, no sales calls, $3/hour.
What's up PH, I'm Braiden, co-founder of Shofo (YC W26).
Every team training a model faces the same data decision: build or buy. Building means spending engineering talent on collection (reverse engineer APIs, deal w proxies, fight scraping defenses, filtering, maintenance) all to collect data sitting in the open. Buying isn't much better. Prices run from $15 to $480 per hour, and your ideal dataset still sits behind a wall of sales calls, samples, and weeks (sometimes months) of collection and iteration. That time can be the difference between SOTA and irrelevant.
RecipeBook gives you the ability to search, filter, and build training datasets from millions of publicly available videos in the same day. You search in plain language, narrow with metadata filters (fps, resolution, duration, aspect ratio), and upvote and downvote clips based on needs. Once you vote, we train a classifier on your picks to re-rank the whole catalog to your taste, so you get the exact dataset you need. (Just a few votes can meaningfully change results)
Once you're happy with results, you type in how many hours you want. Ask for 1,000 and you get a review sheet: the score distribution, a playable grid of the worst clips in the order so you can see the floor, and a trim slider where the count and price all live. Check out at $3/hour and a manifest CSV with download links hits your inbox within a couple minutes (or instantly depending on size of purchase).
Biggest downfall is that metadata isn't super strong right now. No captions or engagement on the corpus (yet), so search is purely visual. (If you think it's something else please tell me!!)
Our team has spent years in data collection and curation. We've indexed billions of videos across the internet and built systems to serve that data on request across all modalities. Along the way we learned the data you need to train your model is already public, you just haven't found it yet.
If you're training a video or multimodal model, give it a try and tell me what you think.
If you know a team sourcing large-scale video data (video gen, VLMs, world models, seed to Series A), intro us and I'll buy you dinner.
Searched for a tricky cooking motion I'd been hunting for and the re-rank after a few votes actually nailed it. The no-sales-call, pay-by-hour setup is refreshing.
the search-then-buy flow is clever, but the thing i'd want answered before using this commercially is rights, not workflow. "publicly available" and "cleared for training a model you're going to sell" are two very different bars, and that gap is exactly what's driving a bunch of the current lawsuits against scrapers. is there any licensing/consent layer behind the 25M clips, or is it on the buyer to figure out whether a given clip is actually safe to train on?
About RecipeBook by Shofo on Product Hunt
“Buy video training data by the hour featuring 25M+ clips”
RecipeBook by Shofo launched on Product Hunt on July 28th, 2026 and earned 109 upvotes and 10 comments, placing #19 on the daily leaderboard. Recipe Book is a video data platform where you can semantically search 25M+ clips, iterate on the results, and buy the exact dataset you need to train your model in one sitting. Search -> rate a few clips -> we train a probe on your votes to re-rank the whole catalog to your taste. No contact forms, no sales calls, $3/hour.
RecipeBook by Shofo was featured in Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 192.7k products, making this a competitive space to launch in.
Who hunted RecipeBook by Shofo?
RecipeBook by Shofo was hunted by Braiden Dishman. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Braiden Dishman