Pushup AI Form and Rep Counter Launch!
Real-time form validation. Boss fights. Zero cloud.
What it does
Pushup AI uses on-device computer vision to grade every rep in real-time — no more half reps that "count." Challenge boss fights where your form determines the damage you deal. 100% local processing. Your video never leaves your phone.
Does the same job
all alternatives →
GOLDEN Push-Ups AI Fitness Tracker App2024 · ▲62Realtime & Native iOS/Android Pose Estimation PushUp Counter
Every push-up becomes an attack in a camera-counted RPG game11d ago · pushup.quest · ▲21A fitness RPG where your real pushups and squats, counted live by the camera, fell monsters and level up your hero. On-device pose detection, no tapping.
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 · 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 · 27d ago · cactuscompute.com
