SelfJev
Self-hosted decision model (selfjev-4b) with a Jev-compatible API: Python SDK, server, fine-tuning and RLCD.
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GITHUB · launched Oct 21, 2026 · 54 upvotes (top 25%) · 0 views
Niche: large language models · 191 launches, 4 in the last 7 days ▼ -33% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Commercial product
- classification
- decisions
- fine-tuning
- guardrails
- llm
- llm-evaluation
- +4 more
Visit website ↗ Source listing ↗
More like this: all 191 launches in large language models →
Could you build this?
No The product is a fine-tuned small model with published weights and research on training methods (RLCD, fine-tuning). A real version needs ML research expertise, curated training data, and GPU compute, none of which vibe coding supplies. The API wrapper alone would be easy, but the value is the model.
What it would actually take: The serving layer is simple to vibe-code, but the model needs a base LLM, a labeled dataset of decision tasks, supervised fine-tuning, and preference-style training such as RLCD. This takes ML engineers and a multi-GPU training budget to reach the reported accuracy.
Competitors
Other products that read as similar to this one : 616 launches clear the similarity bar, closest 8 shown.
Attention rank: #230 of 617 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 344 days after the earliest competitor.
- SelfJev · ph · 2026-09-30 · 75 upvotes · similarity 0.69
- laya-server · github · 2026-09-23 · 74 upvotes · similarity 0.57
- TryJev · ph · 2026-09-27 · 1 upvotes · similarity 0.57
- OpenJev · github · 2026-09-20 · 27 upvotes · similarity 0.56
- jev_nx · github · 2026-09-21 · 8 upvotes · similarity 0.56
- ruby_decision_model · github · 2026-09-18 · 50 upvotes · similarity 0.55
- jev-style · github · 2026-09-25 · 9 upvotes · similarity 0.55
- jev-forge · github · 2026-09-19 · 24 upvotes · similarity 0.54
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.