# QuantumBladesmith/FPS-Optimizer-Universal-Game-Performance-Booster-2026

> A Python utility that boosts in-game FPS by applying performance profiles, raising process priority, trimming memory and switching Windows power plans. All tweaks are reversible with one click.

- Magnitude: 1.3 out of 10 — Quiet
- Stars: 264 total · +0 stars measured 2026-10-30, 20:09–21:45 UTC, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: Apps · Language: Python · License: MIT · Created: 2026-10-30 · Last push: 2026-10-30
- GitHub: https://github.com/QuantumBladesmith/FPS-Optimizer-Universal-Game-Performance-Booster-2026 · Page: https://gitnova.dev/en/r/QuantumBladesmith/FPS-Optimizer-Universal-Game-Performance-Booster-2026

## Useful for

- Apply the Performance profile before launching a heavy game
- Roll back all system tweaks with one click after a session
- Raise the game process priority and switch the power plan to High Performance

## Why it’s here

- Star-counter measurements on 2026-10-30 (UTC), 20:09–21:45: 264 → 264 stars (+0). This is the change over that interval.
- The repository is 0 days old and already has 264 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #89.
- About 280 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: 65
- Issues and pull requests: 0
- Watchers: 262
- Average over the last week: 0 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 1 day (oldest → newest, today is partial)

2026-10-30 … 2026-10-30: 0

## Spotted in now

- Top new repositories this week: #89

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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 2026-10-30 21:49 UTC, updated every 30 minutes.