Hevy is a free gym workout tracker & planner app for iOS and Android. Simple workout logging, insightful analytics, and a growing community of gym athletes.
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Based on our record, Hugging Face seems to be a lot more popular than Hevy. While we know about 262 links to Hugging Face, we've tracked only 4 mentions of Hevy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hevy | Senior Mobile Engineer | Remote | Full-time | https://hevyapp.com We’re looking for a lead mobile/full-stack engineer to join our team. You’ll take full technical ownership of a mobile+web app used by +2 million users. You’ll architect and implement features, and lead a small team of developers. Our tech stack includes: React, React-Native, iOS, Android, Next.js, Node.js, express.js, Postgres. Learn more... - Source: Hacker News / 10 months ago
Hevyapp.com lol, if you log into your account you should be met with a web interface for making routines. Source: about 1 year ago
On the web interface, your can nest your workouts into folder so that they're easy to track and organize. For example if you're on a PPL 6 week meso-cycle you can create every workout for the next 6 weeks on hevy.com . But once synced to the Apple Watch the folders just become a flat list which you have to scroll through to find the right workout. Would be nice if folder structure transferred to apple watch . Source: about 2 years ago
Hey oneman_aus! No known memory issues at the moment. Would you mind reaching out to me so I can investigate the issue further? Desmond at hevyapp.com. Source: over 2 years ago
So you want to try out vector search but you don’t want to pay OpenAI, or use Huggingface, and you don’t want to pay a vector database company. I’m here for you. Let’s get vector search going, on your own machine, for free. - Source: dev.to / 3 days ago
Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 9 days ago
This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 11 days ago
I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago
Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 24 days ago
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