Arkor
Fine-tune and Deploy Open-weight Models in TypeScript
What this is
Platform for fine-tuning and deploying open-weight AI models using TypeScript instead of Python/ML expertise.
Our one-line summary — not the founder’s tagline.
- How it works
- AI coding agent prepares datasets and training project; you click to run training and get an OpenAI-compatible API
- What's different
- No GPU setup or Python training code required
- Best for
- Developers wanting to fine-tune models without ML background
What we measured
Nobody else publishes this — it comes from knocking on the door every day.
- Watched by us
- 4 days
- Last checked
- 16h ago
Where it shows up
Every group here is a page of its own — each one checked daily.
The numbersIs it still shipping, is it overpriced, where did it land — and what the price is built from.
League price & chart
No money. No seat. It goes on your record — and in 28 days reality settles it.
Calls are closed while we rebuild accounts. You can still read every one of them.
Dev. Launched 4d ago on Product Hunt, picking up 152 votes. Today, the site itself changed 16h ago — evidence it's still shipping, not just announcing.
Moving right now. The clock only starts when a launch goes quiet.
We check this site every day, ourselves. A founder can post “still working on it” — a claim like that doesn't price. What we price is what we can verify from the outside: evidence, not announcements. The real question isn't “will this be huge?” — it's “will they still be moving in four weeks?”
Shipping record
2 separate days we saw this ship · Jul 26 → Jul 27 · source: page changed
Beyan değil kanıt: founder “çalışıyoruz” diye post atabilir, ama sevk ettiyse izi kalır. ⚠️ Kaydı olmayan ürün “sevk etmedi” demek değildir — o üründe izleyecek bir kaynağımız yok demektir.
The market viewHow this launch is priced and ranked in our league — the investor side of the page.
ranked by the reality anchor, not the market price
It launched on Product Hunt with 152 votes.
No matter how much money goes in. There is no pump here — you can't make yourself right by buying more. The line only moves on things that actually happened: an award, revenue that grew, a new platform, code that shipped — or silence.
1 quiet day in between are left out — nothing happened on them. A launch that goes quiet eases down a little at a time — never a cliff you could have run from the night before.
Daily tracking just started for this launch — the first point is on the board. A second reading lands with tomorrow's run, and the curve builds from there.
How the launch is moving on its own board, day by day — the crowd's attention.
A flat line is normal: votes stop within a day or two of launch, on every board. What's unusual — and what actually counts — is a launch that keeps pulling votes long after its day is over.
About
Start a real LLM training in 10 minutes. Tell Claude Code or Codex what the model is for; they prepare the datasets and create the training project. Click "Run Training" in the local studio. Arkor runs the training, and deploys the trained model as an OpenAI-compatible API. Think Next.js and Vercel for fine-tuning: code you can review, infrastructure you do not have to manage, and a model your app can call. No GPU setup. No ML expertise required. No Python training code to write.
Where it launched
1 platform| Platform | Votes | Counts toward price | Link |
|---|---|---|---|
| Product Hunt | 152 | sets the price | ↗ |
The board it did best on sets the price. Every other board only adds to it if the launch also placed high on that board too — because just showing up somewhere isn't an achievement. Listing on twelve directories is free; placing well on them isn't.
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