djev-dev
Structured decisions with DiffusionGemma and vLLM. Native image inputs, image choices, live camera sampling, and a compact one-step inference path.
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GITHUB · launched Sep 19, 2026 · 142 upvotes (top 6%) · 0 views
Niche: multimodal ai platforms and tools · 215 launches, 16 in the last 7 days ▼ -47% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 215 launches in multimodal ai platforms and tools →
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 : 2699 launches clear the similarity bar, closest 8 shown.
Attention rank: #172 of 2700 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 325 days after the earliest competitor.
- djev · github · 2026-09-21 · 84 upvotes · similarity 0.77
- openjev · github · 2026-09-18 · 306 upvotes · similarity 0.69
- djev-spark · github · 2026-09-18 · 172 upvotes · similarity 0.67
- VGGT-Diff · github · 2026-09-27 · 49 upvotes · similarity 0.66
- laya-vision · github · 2026-09-19 · 38 upvotes · similarity 0.63
- DASA · github · 2026-10-13 · 29 upvotes · similarity 0.62
- PerF · github · 2026-09-26 · 10 upvotes · similarity 0.62
- Latticor · github · 2026-10-16 · 33 upvotes · similarity 0.61
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.