Nicheloom

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decider

One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B

Details

External ID
1372665897
Source
GITHUB
Company
—
Product
decider
Website domain
github.com
Launched
Sept. 16, 2026
Cohort
—
Upvotes
130
Upvotes percentile
0.942800409941071
Tags
—
Fetched at
Sept. 20, 2026, 5:44 p.m.
Updated at
Sept. 20, 2026, 5:44 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
fast typed decision model for developers
Manually corrected
False

Could you build this?

Partial The inference wrapper is simple, but fine-tuning an open-weight LLM for calibrated logits and structured decision evaluation requires ML training pipelines and curated calibration datasets.

What it would actually take: The system requires an LLM training stack (PyTorch, Hugging Face TRL/Unsloth, LoRA) fine-tuning Qwen on decision-making tasks, followed by temperature scaling and isotonic regression for logit probability calibration. The difficult aspect is building the synthetic or hand-labeled decision dataset with reliable ground-truth probability distributions and running rigorous calibration evals (Brier scores, ECE).

Competitors

Other products that read as similar to this one — 1613 launches clear the similarity bar, closest 8 shown.

Attention rank: #106 of 1614 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 322 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.