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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Rapidscall
Train your own AI language model on your Mac
Rapidscall lets you train your own language model from scratch — on your Mac, with your own data. No cloud, no coding, no data leaves your device. Import any text dataset, build a custom tokenizer, configure a transformer model, and train it — all from one app. Built for Apple Silicon using Metal. Free tier lets you explore the full workflow and train single-layer models. Pro unlocks unlimited layers for production-quality models.
Rapidscall started as a personal learning project and became a tool for anyone who wants to build
their own model — on their own terms, on their own machine.
Apple Silicon made it possible. Metal and unified memory mean a MacBook Air has genuine training capability. I wanted to make that accessible.
Happy to answer any questions about the app or training process.
About Rapidscall on Product Hunt
“Train your own AI language model on your Mac”
Rapidscall was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #139 on the daily leaderboard. Rapidscall lets you train your own language model from scratch — on your Mac, with your own data. No cloud, no coding, no data leaves your device. Import any text dataset, build a custom tokenizer, configure a transformer model, and train it — all from one app. Built for Apple Silicon using Metal. Free tier lets you explore the full workflow and train single-layer models. Pro unlocks unlimited layers for production-quality models.
On the analytics side, Rapidscall competes within Languages, Developer Tools and Artificial Intelligence — topics that collectively have 993.3k followers on Product Hunt. The dashboard above tracks how Rapidscall performed against the three products that launched closest to it on the same day.
Who hunted Rapidscall?
Rapidscall was hunted by Cato Hernes Jensen. 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.
For a complete overview of Rapidscall including community comment highlights and product details, visit the product overview.
Cato Hernes Jensen