Fitly
Your AI coach for training, nutrition & recovery
What it does
Fitly is an AI-powered fitness app built to make staying consistent easier. It creates personalized workouts around your goals, experience and available equipment, while bringing training, nutrition, recovery and progress tracking into one place. You can track calories and macros, generate meals with AI, follow your workouts and see how you’re improving over time. Instead of juggling multiple fitness apps, Fitly is designed to handle the whole process in one.
Download Fitly: AI Adaptive Workouts by Berk Demir on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Fitly: AI Adaptive…
Free · In‑App Purchases · Designed for iPhone. Not verified for macOS. Health & Fitness Developer Berk Demir Language EN + 11 More Size 32.6 MB iPhone, Apple Watch Show up knowing exactly what to do. Fitly builds one clear plan around your goals, equipment and limits, then helps your training, nutrition and recovery work together as you make progress. Create and track workouts, follow calorie and macro targets, and review meal estimates before saving them. Fitly uses AI to combine strength, nutrition and recovery perspectives into one clear next step, while you stay in control of changes. Start with Fitly Free. Eligible subscribers can try annual Fitly Pro free for 7 days. The full renewal…from apps.apple.com
Does the same job
all alternatives →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