genpark-dynamic-prompt-prefix-cache-skill
Radix trie-based prompt prefix cache optimizer matching longest common prompt token prefixes to eliminate redundant prefill computation and reduce TTFT.
Details
- External ID
- 1391706218
- Source
- GITHUB
- Company
- —
- Product
- genpark-dynamic-prompt-prefix-cache-skill
- Website domain
- github.com
- Launched
- Sept. 28, 2026
- Cohort
- —
- Upvotes
- 7
- Upvotes percentile
- 0.05976172175249808
- Tags
- agentic-ai, context-window, llm-inference, mcp, mcp-server, model-context-protocol, prefix-cache, prompt-cache, radix-tree, ttft-optimization, zero-dependency
- Fetched at
- Sept. 30, 2026, 1:02 a.m.
- Updated at
- Sept. 30, 2026, 1:02 a.m.
Enrichment
- Theme
- low-level systems and developer tools
- Vertical
- Horizontal
- Function
- Model & infra
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- radix trie prompt prefix cache optimizer for llm prefill acceleration
- Manually corrected
- False
Could you build this?
Yes A radix trie data structure designed to track and match token string prefixes for prompt caching optimization is an algorithmic problem easily synthesized by AI assistants.
Competitors
Other products that read as similar to this one — 547 launches clear the similarity bar, closest 8 shown.
Attention rank: #332 of 548 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 334 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.
Same idea, different domain
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