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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.
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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.
Rapidscall was featured in Languages (14.3k followers), Developer Tools (511.7k followers) and Artificial Intelligence (467.3k followers) on Product Hunt. Together, these topics include over 161.2k products, making this a competitive space to launch in.
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.
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Cato Hernes Jensen