AutoSFT
AutoSFT is an AI system that post-trains AI: a multi-agent research policy that iteratively designs the SFT data recipe, with a fixed base model, trainer, and budget.
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GITHUB · launched Oct 15, 2026 · 13 upvotes (top 85%)
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Similar launches
See all 237 similar launches →Could you build this?
No It is a research system in which multiple agents design SFT data recipes to post-train models. The core is a novel research method requiring large compute budgets and ML research expertise.
What it would actually take: A real version needs a multi-agent search framework, an SFT training pipeline, evaluation harnesses, and significant GPU compute for repeated training runs. Expertise required includes LLM post-training research and experiment design, and results depend on research know-how rather than code alone.
Competitors
Other products that read as similar to this one : 237 launches clear the similarity bar, closest 8 shown.
Attention rank: #216 of 238 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 348 days after the earliest competitor.
- steer · github · 2026-09-11 · 25 upvotes · similarity 0.45
- aibuildai-llm-posttrain-agent · github · 2026-09-16 · 66 upvotes · similarity 0.44
- FaceGPT · ph · 2026-09-14 · 1 upvotes · similarity 0.42
- Autoresearch@home · hn · 2026-03-11 · 79 upvotes · similarity 0.42
- Agent Gate · ph · 2026-09-18 · 1 upvotes · similarity 0.42
- ai-soc-investigation-agent · github · 2026-09-30 · 13 upvotes · similarity 0.41
- Gasket · ph · 2026-10-16 · 1 upvotes · similarity 0.41
- Agent-2 · ph · 2026-10-29 · 1 upvotes · similarity 0.41
Other launches for this product
- No other launches for this product.