AI Based Tagging And Collecting
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RyzeNGrind
Use machine learning and neural nets to use tag generative tag clouds based quick scrape of the headers, title, content of the website and use user feedback to classify the data and train the AI. You can then use this same neural to be trained for collections and nested collections, etc. I think this feature is very useful because bookmarking is easy but organizing bookmarks is like looking for needles in haystacks. So much tedious tagging and collecting can be automated with user feedback to classify AI predictions with confidence.
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Rustem Mussabekov
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Meet Stella — an AI assistant that turns your bookmarks into a second brain you can actually talk to.
Ask questions, get answers grounded in your own saved content. Organize your library with natural language. Rediscover things you forgot you saved.
Runs on our own infrastructure. Your data never leaves our servers.
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walofenton
Rustem Mussabekov tried stella.. it never works.. it says "failed after three attempts - too many requests"
Rustem Mussabekov
walofenton Sorry for inconvenience, the issue is fixed, should be a lot more stable
Netology
Rustem Mussabekov . We love it! / Thank you for adding this to RainDrop.io. WeWe we Luv Luv RainDrop.io from Day 1 - and now we can work with our large database of bookmarks, Magical! ,
Rustem Mussabekov
Merged in a post:
smarter AI : based on the whole webpage content, and smarter understanding
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melkaavraham
the current ai implementation is pretty limited , it would be awesome if the AI could answer/find bookmarks based on ;
-the whole page content (instead of just tags and title)
-an actually smart understanding , for example undertsanding that a website is about movies even if the word "movie" isn't found in the site
such implementation would attract a lot of users , and i sure as hell would ditch other apps i use concomitantly
Rustem Mussabekov
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I’d love to see an enhancement to the AI features that would make bookmark organization much more flexible and truly “agentic.”
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loic-pandore
Problem
Right now, AI suggestions for reorganizing bookmarks are not customizable. When importing bookmarks from other browsers (like Firefox), they often come in deeply nested folder structures. I often want to reorganize them, flatten the hierarchy, or generate new tags, but Raindrop’s current AI tools don’t allow me to guide the AI with my own instructions.
Proposed Solution
Allow users to provide a custom prompt or set of instructions that the AI will follow when generating a proposed bookmark structure. For example:
Flatten imported, deeply nested folders while preserving the meaning of each folder.
Suggest new tags based on folder names and bookmark content.
Propose a simplified or re-themed organizational scheme.
Convert messy imports into a clean and consistent taxonomy.
Example Use Case
I recently imported my Firefox bookmarks, and the resulting folder hierarchy is very deep. I’d like the AI to help reorganize it into a simpler and more intuitive structure without losing the contextual information from each folder level. With a custom prompt, the AI could generate a new folder layout and tag set that better fits how I use Raindrop.
Rustem Mussabekov
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Leverage AI to generate intelligent, context‑aware tags derived from the title, headings and full content.
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aymanaz
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alpersama
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hakanbayik
AI tag suggestions are sometimes mixed between Turkish and English. For example, I occasionally receive 2–3 suggestions in Turkish and the rest in English. Since I speak both languages, this is not a direct problem for me, but it creates uncertainty for future searches. I’m not always sure whether I should search for the Turkish or the English version of the same concept.
It would be great if the AI could detect the user’s primary language or the language of the collection, and then generate tags consistently in that language. This would make long-term tagging and searching much more reliable.
Harald_Mandl
I've imported over 2,000 bookmarks. For each bookmark, the system already suggests AI-generated tags in two stages: suitable existing tags from my tag cloud, and new ones that I don't have yet, but which match this content. But I have to open each bookmark individually and click on the desired tags to assign them.
It would be extremely helpful to run the first stage directly as a bulk operation over the imported bookmarks. This feature would be extremely helpful for me. Since such an import of thousands of bookmarks will probably only be made once per user, this feature can also be offered for a one-time payment.
Autopilot
Merged in a post:
AI Semantic Search
JnthnWJ
Like a "Smart Search" that understands concepts, not just keywords. You could type a natural language question or idea (e.g., "how to be more productive") and it finds all related bookmarks (like articles on "time management" or "GTD method"), even if they don't share the same words.
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sby01
True there is already AI based tagging. But I would love to get AI based sorting into a collection
markwpoole
The product already suggests tags when you add a new clipping based on the content of the bookmark. I use this all the time.
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