This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Snacc
Point your camera at any meal, get calories instanty
Calorie tracking is broken. You take a photo of lunch, then spend 5 minutes searching a database that returns wrong results anyway. Snacc fixes this. Point your camera at any meal — home-cooked, restaurant, or packaged — and get an instant breakdown of calories, protein, carbs, and fat. The AI identifies the food and estimates portions from the photo. No manual logging, no barcodes. Built with React Native, Gemini vision, and Groq. Free on Android.
Hey PH! 👋 I'm Kushal, and I built Snacc because calorie tracking was driving me crazy.
Every app had the same flow: take a photo → manually search a database → pick the closest match → realize it's wrong → give up. I just wanted to point my phone at food and get an answer.
So I built Snacc. Point your camera at any meal and the AI gives you an instant breakdown — calories, protein, carbs, fat — from the photo alone. No searching, no barcodes, no logging fatigue.
It works on home-cooked meals, restaurant food, packaged snacks. The AI estimates portions from the image, so you don't have to.
It's free on Android. Would love your feedback — especially on foods it gets wrong (I'm tracking those to improve the model). Happy to answer any questions!
A meal history view would be really useful so I can quickly see what I ate yesterday or last week without scrolling through everything. Maybe even a weekly summary chart showing my average macros would help spot patterns.
About Snacc on Product Hunt
“Point your camera at any meal, get calories instanty”
Snacc was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #135 on the daily leaderboard. Calorie tracking is broken. You take a photo of lunch, then spend 5 minutes searching a database that returns wrong results anyway. Snacc fixes this. Point your camera at any meal — home-cooked, restaurant, or packaged — and get an instant breakdown of calories, protein, carbs, and fat. The AI identifies the food and estimates portions from the photo. No manual logging, no barcodes. Built with React Native, Gemini vision, and Groq. Free on Android.
Snacc was featured in Android (57.4k followers), Health & Fitness (83k followers) and Artificial Intelligence (474.5k followers) on Product Hunt. Together, these topics include over 182.2k products, making this a competitive space to launch in.
Who hunted Snacc?
Snacc was hunted by kushal. 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.
Want to see how Snacc stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
kushal