Instead of leaving dozens of tabs open, park what matters in soju the moment you find it. Click save to capture the page, add a quick note for context, and place it in a collection. If you’re in a rush, let the built-in AI handle the filing—soju analyzes the page and assigns sensible tags you can refine later. You keep moving while your reading list, references, and research stay tidy without manual cleanup.
For research and writing, start by creating a collection per topic or client. As you gather sources, write short summaries in the note field—quotes, talking points, questions to follow up. Use tags like to-read, outline, cite to signal status. When you need a source, type a domain, headline fragment, or a phrase from your note; soju searches across site, title, description, and your annotations, surfacing exactly what you saved even if you forgot where you put it.
For product or engineering work, stash API docs, issue threads, and design references. Standardize tags for languages, frameworks, and versions so the same cues work across projects. If you don’t want to maintain structure, keep saving and let soju’s AI arrange material into collections and add tags for you. Later, search by method name in a title, repo keyword in a description, or a snippet you dropped in a note to jump back into context fast.
For content creation and planning, clip ad examples, landing pages, and competitor pages into a single collection. Add brief notes about why each piece matters—headline idea, layout detail, or metric to test. Before a review, open the collection and run a quick search using the terms you wrote in notes to compare options side by side. When the project wraps, rename the collection and keep it as a reference library. The daily routine is simple: capture with one click, jot a line of context, let the system sort, and retrieve with precise search in seconds.
Introductory Price
$37.00 per year
Unlimited bookmarks
Unlimited collections
Notes
Browser Extensions
Universal bookmarklet
Advanced searching
Share collections
AI auto-tagging
Comments