Siftly

A new open source tool named Siftly aims to solve the problem of forgotten social media bookmarks. Created by developer viperrcrypto on GitHub, the software runs locally on a user's computer to automatically organize saved posts from X, formerly Twitter. Instead of relying on third party cloud services or browser extensions, Siftly processes saved content directly on the machine where it is installed.

The software uses artificial intelligence to scan bookmarked posts, extract relevant links, and analyze embedded images or videos. According to the project's documentation on GitHub, Siftly generates descriptive tags for each item and groups posts into distinct categories. Users can search through their library based on context and meaning rather than exact keywords, or explore their saved content visually through an interactive mind map.

This project highlights a growing trend toward local software tools that give users complete ownership over their personal data. By keeping the database on a local drive and relying on optional service calls for sorting, it balances privacy with smart automation. However, it remains unclear how reliably Siftly can adapt to sudden changes in platform layout, or whether everyday social media users will embrace self-hosted tools that require basic command line setup.