kcal.you – Snap meals to auto-track calories and macros in seconds
kcal.you lets you track what you eat by snapping a quick photo. It uses AI to recognize your meal and instantly estimate calories and macros, so you skip manual entry and searching. Set daily goals and see clear visualizations of your progress to stay on track. With fast, photo-f
In plain words
kcal.you is an AI-powered nutrition tracking app designed for people managing their diet. Users photograph meals, and the app automatically identifies them and estimates calories and macros, eliminating manual entry. The tool lets users set daily nutritional goals and displays progress through visualizations. It targets those seeking a simplified, photo-first approach to understanding their eating habits and maintaining consistent nutrition tracking.
written from the facts on this page · September 2026
From the sources
Photo-first calorie tracking. Snap a picture of your meal and kCal identifies the food, calories, and macros in seconds — no manual entry, no database digging.
Does a similar job
all alternatives →




Caloris: AI Calorie TrackerMar 2026 · caloris.app · ▲9Snap a photo. Know exactly what you ate. Track it all.
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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d 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 · 27d ago · cactuscompute.com


Launched alongside, September 2026
the whole month →
OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 2d ago · opentrailpaper.com


- OD

I built slotstream, a way to run Qwen3.8-Flash-Next 4-bit on a low-memory mac starting from 16GB, a 125B parameter model that would need 100GB+ memory/RAM, thanks to expert-offloading/ssd-streaming. Easy to install/update, and mac-native using MLX and Swift. It ships with auto-mode, which makes a good tradeoff between memory usage and speed. I'll be implementing and porting the MTP module for speculative decoding next Local models really are the future of computing!
Life & fun · 5d ago · github.com

Turn text, pics, video, + 3D into camera-controlled HD video
AI · 5d ago · worldlabs.ai