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HawkerSense

AI calorie tracker that actually understands Asian food

Standard fitness apps are blind to Asian food. They look at Nasi Lemak, see "rice and chicken," and miss hundreds of calories in hidden coconut milk and palm oil. HawkerSense is a visual AI that decomposes mixed-plate meals component by component in 3.9 seconds. It catches the hidden saturated fats that Western trackers miss, all while judging your diet with the personality of a brutally honest Singaporean Hawker Uncle.

Top comment

Hi Product Hunt! 👋 I'm Qi-Han, the builder behind HawkerSense. I built this because tracking macros in Asia using standard fitness apps is broken. Log a plate of Nasi Lemak into a Western app, and it just sees "rice and chicken" for ~400 kcal. It completely misses the coconut milk, the hidden palm oil, and the sugar-heavy sambal. I spent my nights and weekends building an AI to fix this data gap. HawkerSense doesn't just guess the dish. It visually decomposes mixed-plate meals component by component to catch hidden fats and calories. To make the UX engaging, the AI has the personality of a brutally honest Singaporean "Hawker Uncle" who will judge your dietary choices. Traction & Tech so far: Speed: I optimized the vision model to recognize region-specific ingredients (like deep-fried tofu puffs vs. regular tofu). Average scan time is 3.9 seconds. Data: I've processed over 7,100 real-world meals on an early webapp version. The Insight: 50% of local meals scanned grade out as a C or D due to hidden saturated fats. I pushed the mobile apps live and hit #74 in Health & Fitness on the App Store today. The app offers 3 free scans per day. I'd love for the PH community to try breaking the visual AI with complex or weird food combos. I'll be here all day to answer questions about the stack, the computer vision model, or the data!

About HawkerSense on Product Hunt

AI calorie tracker that actually understands Asian food

HawkerSense was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #132 on the daily leaderboard. Standard fitness apps are blind to Asian food. They look at Nasi Lemak, see "rice and chicken," and miss hundreds of calories in hidden coconut milk and palm oil. HawkerSense is a visual AI that decomposes mixed-plate meals component by component in 3.9 seconds. It catches the hidden saturated fats that Western trackers miss, all while judging your diet with the personality of a brutally honest Singaporean Hawker Uncle.

On the analytics side, HawkerSense competes within Android, Health & Fitness and Artificial Intelligence — topics that collectively have 609.1k followers on Product Hunt. The dashboard above tracks how HawkerSense performed against the three products that launched closest to it on the same day.

Who hunted HawkerSense?

HawkerSense was hunted by Qi Han Wong. 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.

For a complete overview of HawkerSense including community comment highlights and product details, visit the product overview.