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KeepFlash is an AI-powered alternative to traditional bookmark managers and read-it-later apps. It saves the readable content behind webpages alongside PDFs, YouTube videos, files, images, and notes in one searchable library. AI-assisted tags and Topic Pages help structure emerge without forcing users to design folders first. Users can run keyword or semantic search, annotate PDFs, navigate video transcripts and chapters, link notes, and ask questions across selected sources with citations kept in view. KeepFlash is designed for researchers, writers, students, and knowledge workers who need to reuse what they save, not just collect it. A free plan is available with 150 notes, two Spaces, PDF annotations, video notes, AI credits, and up to three Topic Pages.
Google Scholar
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KeepFlash is built with Next.js, React, and TypeScript. It uses PostgreSQL with Prisma for structured data, Meilisearch for full-text search, BlockNote for block-based editing, and AI models for tagging, summarization, semantic retrieval, and source-grounded answers.
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KeepFlash is designed for researchers, writers, students, deep readers, and knowledge workers who regularly save material for future projects. It is especially useful for people who need to return to exact passages, annotations, video segments, and connected ideas instead of maintaining a simple list of links.
KeepFlash's answer:
KeepFlash keeps the original source context instead of storing only a bookmark. Webpages, PDFs, YouTube transcripts, files, images, and notes live in one searchable library. Editable AI tags, bidirectional links, Spaces, and source-backed Topic Pages help users turn saved material into reusable knowledge.
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Choose KeepFlash when you want one workflow for capture, reading, annotation, search, and reuse. It saves readable page content, supports PDF annotations and video transcripts, and combines keyword and semantic search with AI answers that keep supporting sources visible. A free plan is available, so users can evaluate the complete workflow before upgrading.
KeepFlash's answer:
KeepFlash grew from a simple problem: saving information is easy, but returning to it with the original context is hard. It brings webpages, PDFs, video transcripts, files, and personal notes into one library so saved material can support future research, writing, and learning.
Based on our record, Google Scholar seems to be more popular. It has been mentiond 1005 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To learn about sentiment analysis, I'd look for related datasets and then look at recent code, e.g. here: https://www.kaggle.com/datasets?search=sentiment+analysis For more LLM-specific stuff, you can pick some agent trace dataset on https://huggingface.co/datasets?format=format%3Aagent-traces and check out what people are doing with it (usually linked on the right when you click on a dataset). And of course... - Source: Hacker News / 4 days ago
Https://arxiv.org/abs/2201.02177 This paper is not hard to find; it's the first result when you search for "grokking" with https://scholar.google.com. - Source: Hacker News / 6 months ago
Definitely not the first AI generated font. One can find an enormous amount of research in AI font generation on https://scholar.google.com/ going back many years. This could possibly be the first one that used Nano Banana though. - Source: Hacker News / 8 months ago
> Has google completely stopped working for anyone else? Yes. However, I found that https://scholar.google.com still works perfectly well. It feels just as the old Google without all the crap they've been adding in the last years. - Source: Hacker News / almost 2 years ago
He links to a meta analysis* that says CBT does cure depression well enough and does so consistently for many decades without any declines in effectiveness. Later for some reason, he says no single mental illness was ever cured. It seems the main point of the article is to say that nothing except "nudges" ever worked in psychology - this is nonsense that he himself contradicts as I mentioned above. Just use... - Source: Hacker News / almost 2 years ago
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