# BudEcosystem/Bud-Decision-Studio

> Cross-platform desktop app and local server for running decision models: give a situation and typed questions, get calibrated probabilities for each answer in milliseconds.

- Magnitude: 0.1 out of 10 — Quiet
- Stars: 99 total · +0 stars measured 2026-10-06, 15:03–17:50 UTC, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: HTML · Created: 2026-09-30 · Last push: 2026-10-02
- GitHub: https://github.com/BudEcosystem/Bud-Decision-Studio · Homepage: https://www.budecosystem.com/open-source-projects/bud-decision-studio · Page: https://gitnova.dev/en/r/BudEcosystem/Bud-Decision-Studio

## Useful for

- Run a model locally to score answer probabilities for a support ticket
- Build a versioned decision template with variables and call it via the API
- Fine-tune a model on your own spreadsheet examples and compare it on a held-out set

## Why it’s here

- Star-counter measurements on 2026-10-06 (UTC), 15:03–17:50: 99 → 99 stars (+0). This is the change over that interval.
- The repository is 6 days old and already has 99 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #148.

## 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: 3
- Issues and pull requests: 2
- Watchers: 1
- Average over the last week: 1 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 10 days (oldest → newest, today is partial)

2026-09-27 … 2026-10-06: 0, 0, 0, 3, 1, 2, 0, 0, 0, 0

## Spotted in now

- Top new repositories this week: #148

## More in this category

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   A C++ local inference engine that runs the 125B MoE model Qwen3.8-Flash-Next on a regular PC with one NVIDIA GPU (12-24 GB) and 64 GB RAM, exposing an OpenAI/Anthropic-compatible API on localhost.
   Full card: https://gitnova.dev/en/r/Niko1221/Strata.md
2. **deepseek-ai/DeepGEMM** — 5.9 · Breakout · Language models · Cuda · +102 stars measured 2026-10-06, 11:46–17:34 UTC, ≈ 142 by evening
   CUDA tensor core kernel library: GEMM (FP8, FP4, BF16), fused MoE, MQA scoring for the indexer. Kernels compile at runtime via DeepJIT, no CUDA build at install time.
   Full card: https://gitnova.dev/en/r/deepseek-ai/DeepGEMM.md
3. **Hiteater-wzm/eeo** — 5.4 · Early signal · Language models · JavaScript · +61 stars measured 2026-10-06, 00:23–17:35 UTC, ≈ 84 by evening
   An open community and toolkit for "Everything Engine Optimization": brands publish machine-readable cards about themselves, and the tooling measures how visible a brand is in AI engine answers.
   Full card: https://gitnova.dev/en/r/Hiteater-wzm/eeo.md
4. **StayLameBro/backburner** — 5.4 · Early signal · Language models · Python · +77 stars measured 2026-10-06, 00:17–17:35 UTC, ≈ 108 by evening
   A llama.cpp fork that plugs an iPhone into a Mac over USB-C and splits the work: the Mac runs layers 1-40, the iPhone runs 41-64 on its GPU, speeding up prefill and allowing context up to 196k-229k tokens. Aimed at people running…
   Full card: https://gitnova.dev/en/r/StayLameBro/backburner.md
5. **empero-org/brewery-ai** — 4.7 · Early signal · Language models · Python · +7 stars measured 2026-10-06, 00:18–17:35 UTC, ≈ 15 by evening
   A console agent that walks users through the full fine-tuning cycle for language and image models via a chat with an AI guide: from picking a base model and data to training on a GPU and publishing to Hugging Face.
   Full card: https://gitnova.dev/en/r/empero-org/brewery-ai.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 2026-10-06 17:51 UTC, updated every 30 minutes.