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trim-1

trim-1: a 1.2 MB model that keeps the lines of a context an AI agent needs

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GITHUB · launched Oct 14, 2026 · 148 upvotes (top 9%)

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Could you build this?

No Training a custom tiny 1.2 MB machine learning model specifically optimized for context trimming requires specialized ML research, architecture design, and custom training datasets.

What it would actually take: Requires designing a sub-megabyte neural architecture (e.g., highly compressed Transformer or RNN/Mamba variant) specifically for sequence classification/line relevance. The author would need to build a curated dataset of multi-turn agent interactions, token/line retention labels, and execute distillation or quantization workflows. Deep ML/NLP engineering skills and GPU training infrastructure are necessary.

Competitors

Other products that read as similar to this one : 3253 launches clear the similarity bar, closest 8 shown.

Attention rank: #276 of 3254 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 350 days after the earliest competitor.

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