# Bornholm/indecis

> A Go library for training and running small decision models: a text encoder fine-tuned on your examples answers typed questions with calibrated probabilities instead of generated text.

- Magnitude: 0.8 out of 10 — Steady
- Stars: 57 total · +0 stars today, ≈ 2 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Go · License: MIT · Created: 2026-09-28 · Last push: 2026-10-01
- GitHub: https://github.com/Bornholm/indecis · Page: https://gitnova.dev/en/r/Bornholm/indecis

## Useful for

- Train a model to classify support requests by topic and urgency on your own examples
- Serve a model over HTTP for request routing without a GPU
- Generate synthetic training data from templates

## Why it’s here

- 0 stars so far today, about 2 expected by the end of the day.
- The repository is 5 days old and already has 57 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #191.

## 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: 5
- Issues and pull requests: 1
- Watchers: 0
- Average over the last week: 10 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0
- Latest release: v0.3.0 (2026-10-01)

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-09-27 … 2026-10-03: 0, 1, 40, 8, 5, 3, 0

## Spotted in now

- Top new repositories this week: #191

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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 2026-10-03 03:19 UTC, updated every 30 minutes.