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Why does it seem like food recalls are out of control this year?

Just weeks after Taylor Farms issued a recall of its iceberg lettuce amid a massive cyclospora outbreak, the Food and Drug Administration recalled more than one million eggs that may be contaminated with salmonella. The eggs, which come from Midwest Poultry Services, were distributed to Kroger and smaller grocery stores across the South and Southwest […]

2026-08-21 原文 →
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501 world recipes as an open dataset: per-serving nutrition, step timings, ingredient scaling rules (CC BY-SA 4.0)

Last month I wrote about building a 1,800-page calculator site solo. Since then the recipe hub on that site grew to 501 dishes from 127 countries — and today I'm releasing all of it as an open dataset. Download JSON (full dataset, ~2.6 MB): https://theunitools.com/data/unitools-recipes-v1.json CSV (one dish per row): https://theunitools.com/data/unitools-recipes-v1.csv Docs + sample record : https://github.com/farcrak/unitools-recipes Dataset page: https://theunitools.com/en/data What's inside 501 home-cooking recipes, 127 countries, bilingual (English + Russian, both written by hand — no machine translation) Per-serving nutrition (calories, protein, fat, carbs) on every single dish 3,200+ steps, each annotated with minutes Ingredients with stable ids and scaling rules : meat scales linearly with servings, salt and spices are damped — the way an actual kitchen scales a recipe, not naive multiplication Human-reviewed Wikimedia Commons photos with author + licence per photo Why the scaling rules matter Most recipe datasets store "2 tbsp salt for 4 servings" and leave scaling to you. Multiply salt linearly to 16 servings and the dish is inedible. Each ingredient in this dataset carries a scaling field ( linear | damped | fixed ), so a portion calculator can be built directly on top of the data. That's exactly how the recipe pages on the site work. Licence CC BY-SA 4.0 — free for commercial use. Credit "UniTools — theunitools.com" and share derivatives under the same licence. Photos carry their own Commons licences (in the data). Honest caveats Nutrition is computed from ingredients, not lab-measured — a planning reference, not medical data. The dataset is maintained by one person; if you spot an error, open an issue on the repo and the fix lands in the next version. If you build something with it — a meal planner, a viz, a model fine-tune — I'd genuinely love to hear about it in the comments.

2026-08-06 原文 →
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DoorDash is going airborne with new drone delivery division

DoorDash is launching a new drone delivery program called DoorDash Air. The largest food delivery app in the US said that it has approval from the Federal Aviation Administration that clears the way for drone delivery in the near future. DoorDash said it has received a Part 135 air carrier certification from the FAA that […]

2026-07-29 原文 →