Product design

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Personal

Kept

designing and building an AI-powered app for saving links

  • Product design

In short

One-click paste, AI fills in the rest, and you find things again by just asking.


Overview

Kept started from a personal annoyance: bookmarks scattered across browsers, folders, and devices, with no reliable way to remember where anything actually lived. The idea was simple, one place, one action, save from anywhere. I designed and built it myself, end to end, product, interface, and the code running it.


Approach

One click and that's it was the actual strategy, not just a UI shortcut. Every extra step, choosing a folder, writing a title, adding tags, competes with the one reason someone saves something in the first place: to stop thinking about it. So the person's part stops at paste. Everything after that, pulling the title, the image, generating tags, is the system's job. AI sorts it out so the user never has to.

Search is built to feel like a conversation, not a query. Nobody remembers "I filed that under Clothes," they remember "that blue sweater on sale." Tags and filters still exist underneath, but describing the thing in plain language is the primary path in.

And when the first result isn't quite it, the fallback isn't a broader search, it's a related one. Tapping a kept link surfaces a "Find Similar" option, pulling up other saved links sharing at least two tags with it. Instead of retyping a better query, you drift sideways from something close until you land on the one you actually meant.


Outcome

In testingTesting with a small group · no usage data yet

Goal 01

Save without thinking

One paste and done, with title, tags and description written by AI and no edits needed.

Measured by · saves with no manual edits

Goal 02

Find it by describing it

Ask in plain language instead of remembering which tag or folder you used.

Measured by · searches that find the link first try

  1. Capture, AI tagging, conversational search and Find Similar are all built and working.
  2. Public release is planned for end of year, after testing with a small group.