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Prompt-refiner

Lightweight optimization for LLM inputs and RAG

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Hi HN,While building RAG agents, I noticed a lot of token budget was wasted on formatting overhead (HTML tags, JSON structure, whitespace). Existing solutions felt too heavy (often requiring torch/transformers), so I wrote this lightweight, zero-dependency library to solve it.It includes strategies for context packing, PII redaction, and tool output compression. Benchmarks show it can save ~15% of tokens with negligible latency overhead (<0.5ms).Happy to answer any questions!

HN · launched Dec 17, 2025 · 7 upvotes (top 64%) · 0 views

Niche: llm optimization tools · 127 launches, 9 in the last 7 days ▲ +50% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes The project is a zero-dependency string manipulation and regex utility library designed to strip redundant whitespace, tags, and formatting boilerplate from LLM prompt contexts.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one : 636 launches clear the similarity bar, closest 8 shown.

Attention rank: #390 of 637 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 48 days after the earliest competitor.

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