MyARC
Enabling creators to train their communities at scale.
What it does
Creators and consumers are forced to choose between expensive 1:1 coaching or generic mass-market plans. Pricing consumers out of personalised fitness and preventing creators from having scalable businesses. Currently, there is no system to deliver personalized training at scale. MyARC is that system. It automatically personalizes training plans and nutrition. Making personalized fitness affordable and unlocking a scalable business model for creators.
Does the same job
all alternatives →
- IBI built an app that personalizes home workouts2024 · parianlabs.com · ▲38
Hey HN, I’ve built and bootstrapped PARIAN. It designs personalized workouts so you reach your fitness goal quickly and efficiently. By training only with goal-specific exercises tailored to your experience level and preferred equipment (or just bodyweight), you skip the wasted time, effort, and disappointment. No more doom scrolling exercises, being overwhelmed by how to plan them, and being bombarded by noise from all the fitfluencers. You workout with confidence knowing each exercise is intentional and each session is moving you forward. Plus, you have the freedom to customize your…
- AAArdor, an intelligent personal trainer that predicts your fitness2023 · ardor.fitness · ▲21
Hi all, we've spent the last 2 years building Ardor. Ardor designs personal fitness routines built around individuals. Factors equipment, schedule, energy level on a given day, and mix of interests/goals. What makes Ardor special is how it not only predicts what weight and reps you are capable of doing for every exercise, it also makes some wild predictions about your overall fitness. How fast you are? What's your endurance like? It can build workout challenges in the form of a circuit/HIIT and can say things like "based on how you did in your last workout, I think you can do 4…
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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…
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