-certified get text-only links. 9. All decisions AI-governed – no forced placements, no system hooks, no tracking.

Patent filed July 2025 (covers prompt-based matching, ephemeral memory, certificate-gated access, etc.).

Questions:

1. Does this architecture hold up technically? Any gaps? 2. Would you trust it as a user? As a developer? 3. What's the hardest part to implement correctly? 4. Any concerns about the Short-Tempered Memory approach?

I'm here to answer questions and learn from your feedback. Thanks!19:T516,Hi HN,

I built Morpholder after repeatedly running into the same annoying workflow on macOS.

Every time I needed to convert a file I had to open a converter, upload the file, download it again, and move it back to Finder. It always felt unnecessary when I already knew the format I needed.

So I tried a different idea: what if renaming the file actually converted it?

Morpholder watches folders and performs the real conversion when the extension changes.

For example:

favicon.png → favicon.ico photo.heic → photo.jpg video.mov → video.gif video.mp4 → audio.mp3

But it also unlocks some workflows beyond simple conversions:

- Append _nobg to an image → background is removed automatically (uses Apple’s subject detection) - Rename an image to .txt → text is extracted from the image using Live Text - Append _min → compress image for the web while preserving quality - Rename an image to .icns → builds a macOS app icon package - Append _pages to a PDF → exports each page as high-resolution images

The app runs in the menu bar and processes everything locally.

Curious what the HN community thinks — especially if you have ideas for other suffix-based workflows.

https://morpholder.com

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