Deepnote VS Practically PDF
Compare Deepnote VS Practically PDF and see what are their differences
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Practically lets you upload any PDF and get back a list of the practical, actionable advice from it โ the specific things you can actually do, not a summary of what the document is about.
Most nonfiction books have 10โ15 genuinely useful "do this" moments buried across 300 pages. Practically finds them and pulls them out so you don't have to reread or dig through old highlights.
You can also chat with any uploaded PDF to ask follow-up questions, and build a knowledge base from multiple documents so you can ask questions across all of them at once โ useful if you're trying to learn a topic from several sources.
Extracted advice can be exported to PDF or Notion.
Free tier includes 3 uploads per month.
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Practically PDF's answer:
React and Vite on the frontend, Node.js and Express on the backend, OpenAI's API for the extraction and chat features, Supabase for the database, and Vercel for hosting.
Practically PDF's answer:
Practically just launched, so there aren't big-name customers to point to yet. Early users are mostly individual readers and professionals, people working through business and self-help books who want to get more out of what they read.
Practically PDF's answer:
Most AI book tools give you summaries or a condensed version of what a book is about. Practically focuses specifically on extracting actionable advice: the concrete, specific things you can actually do. There's also a Knowledge Base feature that lets you upload multiple books and chat across all of them at once, which is useful when you're trying to learn a topic from several sources rather than one book at a time.
Practically PDF's answer:
If you want a summary, there are better tools for that. Practically is for people who've already read a book (or don't have time to) and want to know what to do differently. The output isn't "this book argues that habits are important", it's a list of specific techniques, frameworks, and steps pulled directly from the text. The Notion export also means the advice actually lands somewhere in your workflow rather than getting forgotten in another app.
Practically PDF's answer:
People who read nonfiction regularly but feel like they're not getting much out of it. That's a pretty wide group: professionals, students, anyone working through a reading list, but what they have in common is that they're trying to actually apply what they read, not just finish books.
Practically PDF's answer:
I was reading a lot of nonfiction and noticing that very little of it was changing how I actually behaved. The books were good, but the advice was buried and spread across hundreds of pages of stories and research. I started manually extracting the practical parts into notes, which worked, but it was slow. So I built a tool to do it automatically. What started as a personal workflow became Practically.
Based on our record, Deepnote seems to be more popular. It has been mentiond 34 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.
Thank you for the list - I think I've come across all of these in my research! I'll try highlight the differences for each. - https://noteable.io/ - as you say, it doesn't exist anymore - https://deepnote.com - I actually mentioned this in the post but in my experience, the UX and features far behind what we've built already. I'd love to hear from anyone who's tried jupyter-ai to give us a shot and let me know... - Source: Hacker News / about 2 years ago
- https://deepnote.com -- also extensive AI integration and realtime collaboration. - Source: Hacker News / about 2 years ago
Deepnote - A new data science notebook. Jupyter is compatible with real-time collaboration and running in the cloud. The free tier includes unlimited personal projects, up to 750 hours of standard hardware, and teams with up to 3 editors. - Source: dev.to / over 2 years ago
We looked into many of these issues with Deepnote (YC S19) [https://deepnote.com/]. What we found is that these are not necessarily problems of the underlying medium (a notebook), but more of the specific implementation (Jupyter). We've seen a lot of progress in the Jupyter ecosystem, but unfortunately almost none in the areas you mentioned. - Source: Hacker News / about 3 years ago
Upload your ipynb to Deepnote and publish as an app. That simple. https://deepnote.com. - Source: Hacker News / over 3 years ago
Apache Zeppelin - A web-based notebook that enables interactive data analytics.
PDF.ai - Chat with any document
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AskYourPDF - Ask Your PDF is your gateway to dynamic, interactive, and intelligent conversations with any PDF document. Ideal for researchers, students, and professionals.
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
ChatPDF - Chat with any PDF! Join millions of students, researchers and professionals to instantly answer questions and understand research with AI