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Miniclay AI
Fine-tune custom AI models from a simple prompt.
Building custom AI models is still complex — datasets, cleaning, training, GPUs. Most developers give up or use generic models. Miniclay AI lets you describe what you want and handles everything: data sourcing, cleaning, and fine-tuning. Free users get a working notebook. Paid users get 1-click cloud fine-tuning and ready-to-use models.
Hey everyone, I’m the founder of Miniclay AI 👋
I built this because I kept hitting the same problem:
Fine-tuning AI models sounds easy… but in reality it’s a mess.
Every time I tried, I had to:
- find datasets
- clean messy data
- write training code
- debug notebooks
- deal with GPUs
And honestly, most of the time wasn’t even training — it was cleaning data.
So I built Miniclay AI to fix this.
The idea is simple:
You describe the model you want, and we handle everything.
→ dataset sourcing
→ data cleaning (SynthFix)
→ training
→ deliver a fully fine-tuned, ready-to-use model
No setup. No CLI. No debugging.
Right now:
- Free → get a notebook (DIY mode)
- Paid → 1-click cloud fine-tuning
Still early, but early ML devs told me:
“This is exactly the pain point.”
I’d love honest feedback:
👉 Would you use something like this?
👉 What would stop you from trusting it?
Happy to answer anything 🙏
About Miniclay AI on Product Hunt
“Fine-tune custom AI models from a simple prompt.”
Miniclay AI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #120 on the daily leaderboard. Building custom AI models is still complex — datasets, cleaning, training, GPUs. Most developers give up or use generic models. Miniclay AI lets you describe what you want and handles everything: data sourcing, cleaning, and fine-tuning. Free users get a working notebook. Paid users get 1-click cloud fine-tuning and ready-to-use models.
On the analytics side, Miniclay AI competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Miniclay AI performed against the three products that launched closest to it on the same day.
Who hunted Miniclay AI?
Miniclay AI was hunted by Ritu patil. 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 Miniclay AI including community comment highlights and product details, visit the product overview.
Ritu patil