Discover ingredient pairings based on real recipe data. Find matching dishes, cuisines and get more insights on your cooking.

As a home cook who also shares food online, at some point it became difficult to find ingredient pairings that are used everyday. Cookbooks helped, but as a UX engineer I wanted something interactive - click around, compare, explore. A lot of pairing wisdom is either lab-style (e.g. aroma compounds) or chef intuition. The first, however super nice, can feel disconnected from everyday cooking; the second is subjective. In practice, what “goes together” also depends on region, tradition, and context. So I went the boring route: millions of real recipes from the public web, and stats—how often ingredients show up together, popular dishes, cuisines, and pairings. No pretending one formula explains all of food; just what shows up in the data when people actually write recipes. Stats For Hats is still early - I’d love your feedback on what’s useful and what’s missing.

this is great! really love the clean UI, and the speed of search/overall is outstanding, no lag whatsoever. I actually just decided to start working on a v2 of my favorite pesto dish as of last night, and now I'll use Stats for Hats to help!

one tiny little suggestion - in the Composer section, for some reason I as a user instinctively thought that the search would be a comma separated string rather than search/add individually by ingredient. maybe just a quick copy change above that search bar with instruction to add one at a time could help? it's also very possible that I'm the only person that would make that mistake though, so take the suggestion with a grain of salt - and congrats on the great launch!

@erich_hixson21 Thanks Erich! Actually, comma separated ingredients would be nice and won't regress anything, so I'll add them in next release.

Stats For Hats

Food ingredients that work together, based on real data

Food ingredients that work together, based on real data