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Prompt-refiner

Lightweight optimization for LLM inputs and RAG

Details

External ID
46306585
Source
HN
Company
—
Product
Prompt-refiner
Website domain
github.com
Launched
Dec. 17, 2025
Cohort
—
Upvotes
7
Upvotes percentile
0.35877862595419846
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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!

Enrichment

Theme
browser automation and scraping for AI
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
optimization for llm prompts and rag
Manually corrected
False

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 — 193 launches clear the similarity bar, closest 8 shown.

Attention rank: #126 of 194 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 46 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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