tideLM
LLM engine with adaptive expert loading.
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GITHUB · launched Oct 19, 2026 · 26 upvotes (top 47%) · 1 view
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 An LLM inference engine with adaptive expert loading requires GPU kernel, memory-management, and model-architecture expertise that vibe coding cannot substitute for.
What it would actually take: The stack is C++/CUDA or Triton with PyTorch or a custom runtime, managing MoE expert weights across GPU, CPU, and disk with prefetching and caching policies. Building it requires ML systems engineers who understand transformer internals, memory hierarchies, and kernel performance, plus GPUs for benchmarking and validation.
Competitors
Other products that read as similar to this one : 4738 launches clear the similarity bar, closest 8 shown.
Attention rank: #2160 of 4739 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 355 days after the earliest competitor.
- Axe · hn · 2026-03-03 · 6 upvotes · similarity 0.66
- Local AI · hn · 2026-02-05 · 5 upvotes · similarity 0.66
- LLM fine-tuning without infra or ML expertise · hn · 2026-01-21 · 5 upvotes · similarity 0.66
- aibuildai-llm-posttrain-agent · github · 2026-09-16 · 66 upvotes · similarity 0.64
- LoongForge-A high-performance training framework for LLM, VLM, VLA, Wan · hn · 2026-05-21 · 10 upvotes · similarity 0.63
- Otari: your open-source LLM control plane · hn · 2026-07-06 · 20 upvotes · similarity 0.62
- Tiny-vLLM · hn · 2026-05-29 · 205 upvotes · similarity 0.61
- async_llm · github · 2026-09-28 · 14 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.