This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
ModelFit
Find the best local LLM your Mac or GPU can actually run
ModelFit helps you choose the best local AI models for your Apple Silicon Mac, iPhone, or NVIDIA GPU. Get Ollama recommendations optimized for your hardware. This tool has been entirely vibecoded using Claude Code and Opus 4.8 / Fable 5
No comment highlights available yet. Please check back later!
About ModelFit on Product Hunt
“Find the best local LLM your Mac or GPU can actually run”
ModelFit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #19 on the daily leaderboard. ModelFit helps you choose the best local AI models for your Apple Silicon Mac, iPhone, or NVIDIA GPU. Get Ollama recommendations optimized for your hardware. This tool has been entirely vibecoded using Claude Code and Opus 4.8 / Fable 5
ModelFit was featured in Developer Tools (515.5k followers), Artificial Intelligence (473.1k followers) and Apple (15.5k followers) on Product Hunt. Together, these topics include over 186.3k products, making this a competitive space to launch in.
Who hunted ModelFit?
ModelFit was hunted by Wecko. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ModelFit stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Wecko
How does it actually test the models to make the recommendations, or is it just pulling specs and matching them against known VRAM requirements?