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reflex

A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.

Details

External ID
1375155214
Source
GITHUB
Company
—
Product
reflex
Website domain
github.com
Launched
Sept. 17, 2026
Cohort
—
Upvotes
101
Upvotes percentile
0.9253138611324622
Tags
—
Fetched at
Sept. 21, 2026, 5:02 p.m.
Updated at
Sept. 21, 2026, 5:02 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
small open decision model fine-tuned on qwen
Manually corrected
False

Could you build this?

Partial Writing training and inference wrappers for Qwen3.5 is vibe-codeable, but training a calibrated decision model requires curating a novel specialized dataset and conducting machine learning research.

What it would actually take: Building this requires a training pipeline built on Hugging Face / PyTorch with Unsloth or Axolotl, fine-tuning an open weights model (Qwen 3.5) on structured state-to-probability tasks. The primary bottleneck is the dataset: one must construct synthetic or expert-labeled decision traces with well-calibrated probabilities and negative samples across diverse domains. Evaluating and tuning probability calibration (e.g., minimizing Brier score / Expected Calibration Error) requires ML research expertise rather than boilerplate app code.

Competitors

Other products that read as similar to this one — 882 launches clear the similarity bar, closest 8 shown.

Attention rank: #95 of 883 (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.