Offbeat
AI choreography planner for dance & fitness instructors
What it does
Offbeat generates complete choreography plans for your dance or fitness class in 60 seconds. Describe your class — style, difficulty, duration, audience — and Offbeat returns: • A full sequence of moves with timing • Music suggestions with BPM matched to your style • Verbal cues for each section • Formations and transitions • A shareable link for your students Built for dance and fitness instructors. Every output is structured for the way instructors actually plan classes/choreographies.
Does the same job
all alternatives →
- ASA Simple Online Step Sequencer2022 · muted.io · ▲60
- VCVibe coded iOS workout app with Apple Watch supportFeb 2026 · apps.apple.com · ▲8
I spent a month to put together a workout app without writing a single line of code by hand. It's on par with many apps like Fitbod or Fitness AI. Got approved on iOS App Store. Let me know if you want free access, only thing I ask is to give me genuine feedback and one feature you would like to see. I will be asking Codex/Claude to rank the top features and implement it.
- AWA web-based sequencer where you can make, listen to, and share patterns2022 · drawbeats.com · ▲15
Kinetic Ai coachJul 2026 · kinetic-fitness-app-seven.vercel.app · ▲8An AI fitness coach that actually knows your body
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
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com