SCM
Open models that turn text + a question into probabilities
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Open-weight models that turn text + a question into a probability for every answer: choice, yes/no, or score. Self-host them: no API, no bill per call, no data leaving. Weights, sources, licences and a benchmark-overlap audit are published. Github Repo : https://github.com/5ak3t/scm
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PH · launched Oct 17, 2026 · 3 upvotes (top 10%)
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
- Open Source
- Developer Tools
- Artificial Intelligence
- GitHub
Similar launches
See all 100 similar launches →Could you build this?
No Creating, fine-tuning, evaluating, and auditing open-weight calibrated probability machine learning models requires deep ML research expertise and dedicated GPU clusters.
What it would actually take: Requires deep machine learning engineering: curating clean multi-task calibration datasets, designing model architectures (or fine-tuning base LLMs like Llama/Mistral for calibrated logit extraction), running distributed GPU training clusters (PyTorch, DeepSpeed), and performing benchmark contamination audits.
Competitors
Other products that read as similar to this one : 100 launches clear the similarity bar, closest 8 shown.
Attention rank: #28 of 101 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 228 days after the earliest competitor.
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- AnyDecisionModel · github · 2026-09-21 · 9 upvotes · similarity 0.44
- AnyJev · github · 2026-09-21 · 648 upvotes · similarity 0.43