The Token Company: Intelligent compression for LLM context bloat
Intelligent compression for LLM context bloat
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YC · launched Mar 3, 2026 · 26 upvotes (top 27%) · 1 view
Niche: llm inference and deployment tools · 188 launches, 6 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Model & infra
- B2B
- AI-native
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 188 launches in llm inference and deployment tools →
Could you build this?
Partial Building a proxy API that forwards prompt requests is simple, but training and deploying custom deterministic delete-only compression models (like bear-2) that maintain LLM accuracy requires ML research.
What it would actually take: The core product relies on a small, high-throughput transformer or sequence tagger trained to classify and prune low-information tokens from prompts while preserving downstream LLM benchmark accuracy. Serving this requires ultra-low-latency model deployment (ONNX Runtime, TensorRT) embedded within an OpenAI-compatible reverse proxy that handles streaming responses without adding noticeable overhead.
Competitors
Other products that read as similar to this one : 3242 launches clear the similarity bar, closest 8 shown.
Attention rank: #794 of 3243 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 124 days after the earliest competitor.
- UltraCompress · hn · 2026-05-08 · 6 upvotes · similarity 0.70
- Compresr – context compression for LLM pipelines and agents 🗜️ · yc · 2026-02-25 · 9 upvotes · similarity 0.69
- contextcraft · github · 2026-10-22 · 54 upvotes · similarity 0.67
- winace-compression-suite · github · 2026-11-10 · 102 upvotes · similarity 0.66
- TurboQuant · ph · 2026-03-25 · 295 upvotes · similarity 0.62
- UL-SMF · hn · 2026-08-17 · 13 upvotes · similarity 0.62
- nibnib · github · 2026-10-30 · 150 upvotes · similarity 0.61
- genpark-contextual-compression-filter-skill · github · 2026-09-14 · 7 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.