Lumabri
Run large AI models across your computers and servers.Pure C
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HN · launched Oct 22, 2026 · 5 upvotes (top 90%) · 0 views
Niche: machine learning inference engines · 108 launches, 8 in the last 7 days ▼ -27% · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 108 launches in machine learning inference engines →
Could you build this?
No Running large models distributed across heterogeneous machines requires inference kernels, quantization, and low-latency networking that vibe coding alone cannot produce reliably.
What it would actually take: A real version would need a C/C++ inference runtime with optimized tensor kernels for CPU and GPU backends, model sharding (pipeline or tensor parallelism), and a networked scheduler handling latency and failures. Building it requires systems and ML-performance engineers who understand GPU programming, memory layout, and distributed systems.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 4278 launches clear the similarity bar, closest 8 shown.
Attention rank: #4020 of 4279 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 358 days after the earliest competitor.
- Maritime: Fully managed cloud for running AI agents at scale · yc · 2026-10-09 · 30 upvotes · similarity 0.67
- kinetic · github · 2026-11-10 · 88 upvotes · similarity 0.64
- Free cloud-based tool for managing AI agents across multiple hosts · hn · 2026-05-31 · 6 upvotes · similarity 0.63
- Local AI · hn · 2026-02-05 · 5 upvotes · similarity 0.61
- Chiplab · hn · 2026-10-14 · 8 upvotes · similarity 0.61
- A2acast · hn · 2026-08-28 · 5 upvotes · similarity 0.60
- Phantom · hn · 2026-03-30 · 18 upvotes · similarity 0.60
- rStation · hn · 2026-10-16 · 60 upvotes · similarity 0.60
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.