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Rebiha
Fine-tune LLMs with ready-made datasets, no infrastructure
Rebiha makes LLM fine-tuning simple. Choose a model, select from 35 ready-made datasets or bring your own, configure training, and launch. GPUs spin up on demand and shut down when done — flat per-job pricing, no idle compute.
Hey PH 👋 Malek here, solo founder of Rebiha.
I've been doing AI fine-tuning work for a while, and the actual model training was never the hard part. The hard part was everything around it — provisioning a GPU, keeping Docker containers from silently dying, watching a job idle and burn money because I forgot to shut the instance down. None of that has anything to do with whether your model turns out good.
So I built Rebiha to make that whole layer disappear. Pick a base model, pick from 35 ready-made datasets (or bring your own), configure a few hyperparameters, and hit train. The GPU spins up when the job starts and shuts down automatically when it's done. You pay per job, not for idle compute you forgot about.
I'm building this solo — backend, frontend, infra, all of it — so I'm around in the comments today to answer anything: model selection, dataset quality, pricing, what's on the roadmap, whatever. If something's confusing or missing, tell me straight, I'd rather know now.
About Rebiha on Product Hunt
“Fine-tune LLMs with ready-made datasets, no infrastructure”
Rebiha was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. Rebiha makes LLM fine-tuning simple. Choose a model, select from 35 ready-made datasets or bring your own, configure training, and launch. GPUs spin up on demand and shut down when done — flat per-job pricing, no idle compute.
On the analytics side, Rebiha competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Rebiha performed against the three products that launched closest to it on the same day.
Who hunted Rebiha?
Rebiha was hunted by Abdelkader Sakri. 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 Rebiha including community comment highlights and product details, visit the product overview.
Abdelkader Sakri