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RayCodes_JeffGemma

Gemma 4 Just Got a 30ms Decision Brain! (Jeff Engine Setup) - A lightning fast 30ms decision agent using Jeff-Gemma4-E2B.

This is 1 of 274 launches in typed decision engines and runtimes — see how it stacks up on momentum and crowding →

24 other launches read as similar to this one →

Details

External ID
1400132119
Source
GITHUB
Company
—
Product
RayCodes_JeffGemma
Website domain
youtu.be
Launched
Oct. 1, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.1900958466453674
Tags
—
Fetched at
Oct. 5, 2026, 1:02 a.m.
Updated at
Oct. 5, 2026, 1:02 a.m.

Enrichment

Theme
typed decision engines and runtimes
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
low-latency decision agent for gemma models
Manually corrected
False

Could you build this?

Partial Building the surrounding agent wrapper is trivial, but achieving ultra-low 30ms inference on a Gemma model requires custom model quantization and specialized low-latency serving infrastructure.

What it would actually take: Requires an ultra-fast inference runtime such as vLLM, TensorRT-LLM, or llama.cpp compiled with specialized CUDA/Metal kernels and aggressive quantization (e.g., AWQ/FP4). Reaching a true 30ms time-to-first-token/decision loop requires co-located compute, minimal overhead execution environments (like E2B or bare-metal GPU instances), and specialized performance engineering.

Competitors

Other products that read as similar to this one — 24 launches clear the similarity bar, closest 8 shown.

Attention rank: #22 of 25 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 312 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.