# caveman-ai/trim-1

> trim-1 is a 1.2 MB gradient-boosted model that picks the lines of a context an AI agent needs and drops the rest, returning the surviving lines verbatim in order with a marker where cuts were made.

- Magnitude: 3.6 out of 10 — Early signal
- Stars: 108 total · +0 stars measured 2026-10-16, 00:05–01:31 UTC, ≈ 22 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Go · License: Apache-2.0 · Created: 2026-10-14 · Last push: 2026-10-14
- GitHub: https://github.com/caveman-ai/trim-1 · Page: https://gitnova.dev/en/r/caveman-ai/trim-1

## Useful for

- Trim a long log to the lines relevant to a build failure before passing it to an agent.
- Reduce a large document to the parts that mention a specific query, e.g. a refund policy.
- Score every line with trim.Score to implement custom context selection in a Go service.

## Why it’s here

- Star-counter measurements on 2026-10-16 (UTC), 00:05–01:31: 108 → 108 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +22 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 108 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #158.
- About 5 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 8
- Issues and pull requests: 4
- Watchers: 2
- Average over the last week: 41 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0
- Latest release: v0.1.0 (2026-10-14)

## Stars per day, last 3 days (oldest → newest, today is partial)

2026-10-14 … 2026-10-16: 77, 25, 0

## Spotted in now

- Top new repositories this week: #158

## More in this category

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   Official Anthropic-managed directory of Claude Code plugins: internal plugins plus third-party ones from partners, installable via the built-in marketplace.
   Full card: https://gitnova.dev/en/r/anthropics/claude-plugins-official.md
2. **morluto/rea** — 6.4 · Peaking · AI agents · TypeScript · +1,577 stars measured 2026-10-16, 00:04–01:30 UTC, ≈ 20,478 by evening
   A reverse-engineering tool that lets AI agents inspect apps and native binaries: it connects agents to Hopper or Ghidra via MCP and CLI, helping explain how a feature works and rebuild it in your own project.
   Full card: https://gitnova.dev/en/r/morluto/rea.md
3. **xerj-org/xerj** — 6.2 · Breakout · AI agents · Rust · +70 stars measured 2026-10-16, 00:05–01:30 UTC, ≈ 1,085 by evening
   A local Rust search engine that auto-indexes folders of code, docs, logs and PDFs so AI agents retrieve exact passages instead of reading whole files. Elasticsearch-compatible and cuts token usage for agents.
   Full card: https://gitnova.dev/en/r/xerj-org/xerj.md
4. **heqiangdiao-wq/AI-Cross-Border-Ecommerce-Agent-Toolkit** — 6.2 · Early signal · AI agents · Python · +9 stars measured 2026-10-16, 00:05–01:30 UTC, ≈ 151 by evening
   A toolkit of 7 AI agent workflows built from prompts and templates that turn cross-border ecommerce SOPs for Shopee and Mercado Livre into repeatable operations: market research, product strategy, listing, images, video, ads and review…
   Full card: https://gitnova.dev/en/r/heqiangdiao-wq/AI-Cross-Border-Ecommerce-Agent-Toolkit.md
5. **onehumanbeing/esp32-iphone-agent** — 6.1 · Peaking · AI agents · C · +44 stars measured 2026-10-16, 00:05–01:30 UTC, ≈ 347 by evening
   Lets an AI model drive a real iPhone via an ESP32-S3: the screen is mirrored over AirPlay while the board emulates a USB mouse and keyboard. No Mac, Xcode, Apple developer account or jailbreak required.
   Full card: https://gitnova.dev/en/r/onehumanbeing/esp32-iphone-agent.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-16 01:42 UTC, updated every 30 minutes.