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It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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SuperFolders
Find local files and email by what you remember
Search files, email and attachments by meaning, then preview the result in a desktop workspace. SuperFolders combines semantic and full-text retrieval with local-model or provider options for knowledge workers.
About SuperFolders on Product Hunt
“Find local files and email by what you remember”
SuperFolders was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #134 on the daily leaderboard. Search files, email and attachments by meaning, then preview the result in a desktop workspace. SuperFolders combines semantic and full-text retrieval with local-model or provider options for knowledge workers.
On the analytics side, SuperFolders competes within Productivity — topics that collectively have 664.9k followers on Product Hunt. The dashboard above tracks how SuperFolders performed against the three products that launched closest to it on the same day.
Who hunted SuperFolders?
SuperFolders was hunted by Yury Zubarovsky. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SuperFolders including community comment highlights and product details, visit the product overview.
Hi, I’m Yury, the builder behind SuperFolders. This is for the moment when you remember what a document was about, but not its filename or which email contained it.
SuperFolders brings semantic and full-text search across local files and email into a Mac workspace with previews. DEVONthink is a broader document-management environment; my focus here is the retrieval workflow and choice of AI model.
The current Mac version requires Apple Silicon and macOS 14 or newer. Built-in AI can run offline after its initial download; optional external providers receive the content needed for requests. Personal, non-commercial use is free; commercial use needs a separate licence. The gallery shows the current SuperFoldersNPM 1.0.4 interface with fictional English demo documents: search results, file-type filtering, full previews and gallery view. No personal files or connected email account were used.
What is the hardest file or attachment you regularly struggle to find?