NutriTrack
Free AI food scanner with 82+ clinical nutrients
What it does
NutriTrack scans whole meals in 480ms using Groq LPU Vision AI and breaks down 82+ clinical nutrients — not just calories and macros, but amino acids, omega-3/6 profiles, vitamins, and polyphenols. What makes it different: • Multi-item AI camera identifies each food on your plate • 15,000+ foods including Indian regional dishes (IFCT 2024) • Active learning adapts to your portions over time • Clinician safety mode with GLP-1 muscle protection • 100% free, offline PWA — no app store needed
AI-powered nutrition tracking with food photo scanning, macro tracking, and personalised diet planning.
The image doesn't appear to contain recognisable food. Please upload a clear photo of your meal for accurate nutrition analysis. Multi-modal food intelligence, live camera barcode scanning & instant macro logging. Know what's on your plate. AI meal analysis, barcode lookup & wearable auto-sync. Welcome! Tell us a bit about yourself so we can personalise your diet. Auto-calculated from your stats. Adjust any time in Profile. Track your meals to unlock real-time macro analytics and micronutrient scoring. Export logs, calories, and 67+ micronutrients in Apple HealthKit format or import XML data. Sync active calories burned, daily steps, and workout sessions directly into your daily energy…from nutritrack-rho-rust.vercel.app
Does the same job
all alternatives →



- RARecipelab, a simple nutrition calculator / recipe analyzer2016 · recipelab.org · ▲46
- BABuilt a Food Scanner for Longevity2025 · getbiohack.app · ▲8
I'm 17 and recently launched a private beta for Biohack - a tool that scans food products and gives a longevity score based on impact on aging factors such as inflammation, omega ratio, toxins and more. Still early and a bit rough, but I'm looking for honest feedback from people who care about health span and deep nutrition. Would love your thoughts.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com