IngreLens
Scan the label. Match your health. Choose smarter.
What it does
Most food scanners tell you what the general public thinks of a snack. IngreLens tells you what it means for YOU. Built by indie developers, it’s a personal health shield that cross-references food and medicine labels against your unique medical profile, dietary goals, and allergies in seconds. IngreLens is an intelligent mobile application designed to bridge the gap between complex, confusing product labels and your unique personal health profile.
Does the same job
all alternatives →
- IAIngrediCheck – An "AI-Native" Food Scanning App2024 · ingredicheck.app · ▲5
Hello HN, longtime lurker, finally I have something to show :) IngrediCheck is a Food Scanning App. It is meant to help with Grocery Shopping, for people who have unique dietary restrictions or preferences. I made it because we were reading too many food labels when Grocery Shopping. If you are shopping for a family, the list of dietary restrictions can get long. The way it works is 1. You enter your dietary restrictions or preferences in natural language. This can be quite flexible. Examples: - I am allergic to oats and peanuts. - I want to avoid seed oils. - Dr Berg on YouTube said avoid…
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