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brier

Brier: decisões tipadas e calibradas (choice/score/noul), locais e independentes. Qwen3-4B + LoRA em MLX; API /v1/decide, compatível com /v1/systemone.

This is 1 of 199 launches in niche developer tools and hobbyist projects — see how it stacks up on momentum and crowding →

16 other launches read as similar to this one →

Details

External ID
1395010058
Source
GITHUB
Company
—
Product
brier
Website domain
github.com
Launched
Sept. 29, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.14358128740686454
Tags
—
Fetched at
Oct. 2, 2026, 1:02 a.m.
Updated at
Oct. 2, 2026, 1:02 a.m.

Enrichment

Theme
niche developer tools and hobbyist projects
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local calibrated decision-making model api for developers
Manually corrected
False

Could you build this?

Partial Serving a model via an MLX API wrapper is straightforward, but fine-tuning a custom LoRA adapter for reliable probability calibration (Brier score optimization) requires statistical ML expertise.

What it would actually take: The service runs Apple MLX with Python (FastAPI) serving a quantized Qwen 4B model with a custom-trained LoRA adapter. The hard part is collecting or curating the decision calibration dataset and performing temperature scaling or Platt scaling to ensure decision probabilities accurately match true probabilities. Implementing the API is simple, but producing a truly calibrated probabilistic model requires ML experimentation and statistical calibration knowledge.

Competitors

Other products that read as similar to this one — 16 launches clear the similarity bar, closest 8 shown.

Attention rank: #16 of 17 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 18 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.