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open-medical-jev

High-performance, high-precision, locally-fast-deployed Jev-class medical decision service on national medical exams — four readings, one routed decision, zero training.

Details

External ID
1387564759
Source
GITHUB
Company
—
Product
open-medical-jev
Website domain
github.com
Launched
Sept. 25, 2026
Cohort
—
Upvotes
38
Upvotes percentile
0.7717140661029976
Tags
calibration, conformal-prediction, gguf, jev, llama-cpp, llm, medical, qwen, routing
Fetched at
Sept. 29, 2026, 5:02 p.m.
Updated at
Sept. 29, 2026, 5:02 p.m.

Enrichment

Theme
local AI inference and runtimes
Vertical
Healthcare
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
inference framework for medical exam reasoning with open models
Manually corrected
False

Could you build this?

Partial While wrapping open LLMs in inference pipelines is simple, achieving SOTA medical benchmark performance with sub-80ms latency cascades requires novel routing algorithms and sophisticated evaluation frameworks.

What it would actually take: Requires setting up high-performance inference servers (vLLM/TensorRT-LLM) hosting open weights, implementing an uncertainty-aware speculative or cascading decision tree, and benchmarking extensively against MedQA and USMLE datasets with optimized prompt/chaining strategies.

Competitors

Other products that read as similar to this one — 143 launches clear the similarity bar, closest 8 shown.

Attention rank: #57 of 144 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

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