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djev-dev

Structured decisions with DiffusionGemma and vLLM. Native image inputs, image choices, live camera sampling, and a compact one-step inference path.

Details

External ID
1377401228
Source
GITHUB
Company
—
Product
djev-dev
Website domain
github.com
Launched
Sept. 19, 2026
Cohort
—
Upvotes
142
Upvotes percentile
0.9474122469894952
Tags
—
Fetched at
Sept. 23, 2026, 5:02 p.m.
Updated at
Sept. 23, 2026, 5:02 p.m.

Enrichment

Theme
ai video generation and editing tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
structured visual decision engine using diffusion models and vllm
Manually corrected
False

Could you build this?

Partial A camera capture frontend is easy to build, but executing a single-step diffusion latent decision path within vLLM requires deep knowledge of generative diffusion model internals.

What it would actually take: This stack requires a vLLM serving backend modified to hook into DiffusionGemma's denoising step, bypassing multi-step sampling to extract structured categorical embeddings directly from early latents. The hard technical task is fine-tuning the vision-language diffusion backbone and engineering custom CUDA/vLLM kernels to deliver low-latency multi-modal classification.

Competitors

Other products that read as similar to this one — 1176 launches clear the similarity bar, closest 8 shown.

Attention rank: #80 of 1177 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 325 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.