Search what you saved by what it means

You remember what a story was about, not the exact words it used. Keyword search punishes that: search “drone attacks on oil” and you miss the post that said “refinery hit by UAVs”, the article about “strikes on energy infrastructure”, and the report that only named the refinery. The more you save, the more you lose to wording.

WHT.day reads what each save is about. When you search, it looks for saves whose meaning is close to what you asked for, and separately for saves that contain your words. The two are blended, so a save that matches both ways rises to the top and the closest matches come first.

Short searches get extra help. “Digital ID” on its own says little, so WHT.day first works out the subject you mean — digital identity systems, biometric checks, online age verification, digital currencies — and searches for that. In a real archive, that surfaced an age-verification rollout, a national digital-currency launch and a government data-sharing deal, none of which said “digital ID”. Results found only by meaning carry a small Related label so you can tell them apart.

In the default Broad mode, different forms of a word count as the same — “attacked”, “attacks” and “attacking” all match — and common words are ignored. Switch to Exact match when you need every word you typed, the way traditional search works. Quoted phrases always match exactly.

Search results show you the pieces; a timeline shows you the story. Press Build timeline from these results and WHT.day keeps the results that are really about your subject, drops the ones that only share a word, and lays them out by date with a line on what each one added. See a real timeline built from the search “AI safety”.

Each result shows the passage that matched, the day it is filed under and the original source. Open it to read the full text you saved, add a note, or build its timeline. Search covers everything in your archive — articles, X posts from the extension or from automatic bookmark sync, videos, images and notes — and it never searches the AI-written daily summaries, only what you actually saved.