heyderekj

heyderekj / dinky

Public

Dinky makes images smaller.

27
2
100% credibility
Found Apr 17, 2026 at 27 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Swift
AI Summary

Dinky is a lightweight macOS app for batch compressing and converting images to efficient formats like WebP, AVIF, or PNG while preserving quality.

How It Works

1
🔍 Discover Dinky

You find Dinky, a tiny app that shrinks your photos and pictures to save space without blurring them.

2
⬇️ Grab the app

Download the easy installer file and drag it to your Applications folder on your Mac.

3
🚀 Launch it up

Open Dinky and see the welcoming drop area with fun animations inviting you to start.

4
🖼️ Drop your images

Drag your photos or pick files from Finder – it handles batches smoothly.

5
⚙️ Tweak and compress

Slide open the side panel to pick formats or size limits, then let it crunch your files fast.

6
📋 Check results

Watch the list fill with smaller versions, showing savings and easy buttons to find them.

🎉 Dinky images ready

Your pictures are now super small, perfect for quick-loading websites or easy sharing.

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Star Growth

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AI-Generated Review

What is dinky?

Dinky is a lightweight macOS app built in Swift and SwiftUI that compresses images on drag-and-drop. Drop in JPGs, PNGs, WebP, or AVIF files, and it outputs smaller WebP, AVIF, or lossless PNG versions next to the originals, stripping metadata and hitting max width or file size targets. It solves the daily grind of manually optimizing photos for web loads without bloated tools or browser tabs.

Why is it gaining traction?

Unlike ImageOptim's lossless-only squeezes or paid Optimage, Dinky converts to WebP or AVIF for 30-80% real savings, with smart photo-vs-screenshot quality tuning and binary-search file sizing. Users get a Finder-like results list for dragging outputs, batch concurrency across cores, auto-updates, and quirky notifications that adapt to batch size. At 12MB, it's refreshingly dinky – free, open-source, and native without Electron bloat.

Who should use this?

Freelance web designers cranking through Webflow or Figma exports, frontend devs prepping CMS assets, or anyone batch-compressing screenshots for docs. Ideal for macOS users needing quick WebP/AVIF conversion without Squoosh in a browser or CLI hunting.

Verdict

Grab it if you're on macOS 15+ and want a tiny image compressor that just works – 27 stars and 1.0% credibility score signal early days with solid README but no tests yet. Production teams might wait for maturity; solo devs get instant wins today.

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