RigMatch

Find the best local AI model your computer can actually run.
A dating game show for your PC — models are contestants, benchmarks are speed dates, and the winner is your Top Match.

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What is RigMatch?

Picking a local LLM is confusing: parameter counts, quantization, VRAM, context windows… RigMatch skips all of that. It benchmarks models on your actual hardware through Ollama, scores each one on speed, answer quality, and hardware fit, and crowns a Top Match with a 0–100 Match Score.

Everything runs on your machine. No account, no cloud, no telemetry.

• 🖥️ Reads your real rig — GPU, VRAM, RAM, and disk decide which contestants even qualify
• 💛 Speed Dating benchmarks — every model answers the same questions, live on stage
• 🏆 Match Score (0–100) — one honest number: speed + quality + fit on your PC
• 🎨 5 color themes and illustrated contestant avatars for every model family

Simple Mode — local AI for everyone

A five-step guided wizard for people who have never heard of VRAM and just want "the best AI for my PC." A game-show host walks you through the whole thing.

1 · Setup — check your computer

One click detects Ollama and reads your hardware — no jargon, just "you're all set."

2 · Pick — meet the contestants

Tell the host who your dream model is — someone to talk with, a coding buddy, an image maker — and pick up to five contestants that fit your PC. One card per model; RigMatch picks the right size for your hardware.

3 · Download — the contestants arrive

Live progress while your lineup installs. Stop anytime; downloads resume if you close the app.

4 · Compare — Speed Dating, live on stage

Every contestant answers the same questions on the game-show stage. No favorites, live scores.

5 · Winner — your Top Match

The reveal: grade, plain-language scorecard, and two doors out — start chatting right away, or graduate to Advanced Mode.

Advanced Mode

The full control room for power users: a dense sortable models table, custom test suites, diagnostics, logs, and per-run history. Your Top Match carries over.

Getting started

1. Install Ollama and make sure it's running
2. Download RigMatch for your platform:

Platform	Installer
Windows	.exe installer or .zip portable — Releases
macOS (Apple Silicon)	.dmg for M-series Macs — Releases
macOS (Intel)	.dmg for Intel Macs — Releases
Linux x64	.AppImage or .deb for x64 Debian/Ubuntu — Releases
Linux ARM64 / Jetson	Experimental .AppImage or .deb for ARM64/aarch64 — Releases

3. Launch it — Simple Mode will check your computer and take it from there

macOS first-launch note (unsigned beta builds)

Rigmatch macOS downloads are unsigned beta builds distributed outside the App Store. On first launch, macOS may say the developer cannot be verified.

1. Download the correct .dmg: mac-arm64 for Apple Silicon, mac-x64 for Intel.
2. Open the .dmg and drag Rigmatch to Applications.
3. First launch only: right-click Rigmatch.app, choose Open, then Open again.
4. If macOS still blocks it, open System Settings → Privacy & Security → Security and choose Open Anyway.

If macOS says the app is "damaged and can't be opened" — and nothing appears in Privacy & Security to let you open it anyway — run this once:

xattr -dr com.apple.quarantine "/Applications/RigMatch.app" && codesign --force --deep --sign - "/Applications/RigMatch.app"

Both halves matter on Apple Silicon. Clearing the quarantine flag alone is not enough: an arm64 app will not launch unless its code signature validates, and that is the part that was broken. The second command re-signs it locally.

This affects builds up to and including 0.4.2. Later releases sign themselves during the build, so "damaged" should not appear at all — you may still see the ordinary unidentified-developer prompt covered in the steps above.

Linux & Jetson note

NVIDIA Jetson devices are usually ARM64/aarch64 — use the Linux ARM64 artifact, not x64. Install the matching .deb through apt so dependencies resolve:

sudo apt update
sudo apt install ./Rigmatch-*-linux-*.deb

If apt reports missing desktop libraries, install the common Electron runtime dependencies:

sudo apt install libgtk-3-0 libnotify4 libnss3 libxss1 libxtst6 xdg-utils libatspi2.0-0 libuuid1 libsecret-1-0

Build from source

git clone https://github.com/DaveEuson/Rigmatch.git
cd Rigmatch
npm install
npm run dev        # development
npm run build      # production build

How the Match Score works

Each model runs the same question set on your hardware. The score blends:

Ingredient	What it measures
⚡ Speed	Tokens/sec and first-token latency on your rig
🎯 Quality	Answer accuracy and usefulness across the test suite
🧩 Fit	How comfortably the model sits in your VRAM/RAM

The result is a 0–100 Match Score and a letter grade — one number you can trust, because it was measured on your machine, not a leaderboard's H100.

Privacy

RigMatch is 100% local. Models run through Ollama on your hardware; nothing you type, test, or score ever leaves your computer.

License

Source-available, not open source — see LICENSE.

The code is published so you can read it and check what the app does, which is the point of a privacy claim you can't otherwise verify. It does not grant rights to copy, modify, or redistribute it. Using the released app is fine.

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_{Made with 💛 and a retro-computer host. May your rig find its perfect match.}