Software Alternatives, Accelerators & Startups

NotebookLM VS Continue.dev

Compare NotebookLM VS Continue.dev and see what are their differences

NotebookLM logo NotebookLM

AI-first notebook by Google, available in the U.S., blends large language models and user-chosen data. Apply for access to explore intelligent insights and enhance your note-taking experience.

Continue.dev logo Continue.dev

Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains.
Not present
Not present

NotebookLM features and specs

  • Integration with Google Workspace
    NotebookLM is seamlessly integrated with Google Workspace, allowing users to efficiently embed and access documents from Google Docs, Sheets, and other Workspace apps.
  • AI-Powered Assistance
    The platform uses AI to provide smart suggestions and insights, enhancing productivity by auto-completing tasks and reducing manual effort.
  • Real-Time Collaboration
    NotebookLM supports real-time collaboration, allowing multiple users to work on the same notebook simultaneously, similar to Google Docs.
  • Flexibility and Customizability
    Users can customize their notebooks with various widgets and functionalities to suit their specific workflow needs.

Possible disadvantages of NotebookLM

  • Limited Offline Access
    NotebookLM primarily operates online, which can be a limitation for users requiring offline access to their documents and tools.
  • Privacy Concerns
    As with many AI-powered and cloud-based tools, there are potential privacy concerns related to data security and the handling of personal information.
  • Steep Learning Curve
    The integration of advanced features might present a steep learning curve for new users unfamiliar with Google Workspace or AI functionalities.
  • Dependence on Google Ecosystem
    Users who do not regularly use Google Workspace may find limited utility in NotebookLM due to its strong integration with Google's ecosystem.

Continue.dev features and specs

  • Seamless Integration
    Continue.dev offers seamless integration with popular Integrated Development Environments (IDEs), allowing users to enhance their existing workflows without substantial changes.
  • Code Generation
    It provides robust code generation features that can increase productivity by automating repetitive coding tasks, saving developers time and effort.
  • Ease of Use
    The platform's user-friendly interface and clear documentation make it easy for developers to get started quickly, even with limited prior experience.
  • Community Support
    Continue.dev has an active community and support system, which can help users troubleshoot issues and share best practices.
  • Real-time Collaboration
    The platform supports real-time collaboration features that can help teams work together more efficiently, facilitating better communication and project management.

Possible disadvantages of Continue.dev

  • Learning Curve
    Despite its user-friendly design, there is still a learning curve for new users, particularly for those unfamiliar with AI-assisted development tools.
  • Dependency on IDE
    The performance and utility of Continue.dev heavily depend on its integration with specific IDEs, which might not suit developers using other environments.
  • Subscription Costs
    Access to the full feature set may require a subscription, which might be a consideration for small teams or individual developers with limited budgets.
  • Privacy Concerns
    As with many AI-driven tools, there could be privacy concerns related to code and data sharing, which organizations need to manage carefully.
  • Limited Offline Functionality
    The tool may offer limited functionality when offline, which could be a drawback for developers working in environments with unstable internet access.

Analysis of NotebookLM

Overall verdict

  • NotebookLM is a genuinely useful AI-powered research and note-taking tool from Google that excels at grounding responses in your own uploaded documents, reducing hallucinations and making it reliable for studying, research, and summarization.

Why this product is good

  • It grounds all answers in your uploaded sources, so responses cite specific documents and reduce AI hallucinations
  • Supports a wide range of source types including PDFs, Google Docs, websites, YouTube videos, and pasted text
  • The Audio Overview feature can turn your notes into a podcast-style conversation for easier learning
  • Great at summarizing, generating study guides, FAQs, timelines, and briefing documents from your materials
  • Free to use with a generous set of features backed by Google's Gemini models
  • Inline citations make it easy to verify where information comes from

Recommended for

  • Students studying from textbooks, lecture notes, and research papers
  • Researchers and academics organizing and synthesizing large volumes of source material
  • Writers and journalists managing notes and reference documents
  • Professionals who need to quickly summarize reports, contracts, or documentation
  • Anyone who wants an AI assistant that answers based on their own trusted sources rather than the open web

NotebookLM videos

Google made a new AI note app - NotebookLM review

More videos:

  • Review - Don't Pay for NotebookLM Plus Until You Watch This!

Continue.dev videos

CONTINUE.DEV HONEST REVIEW: WORTH IT AI CODE ASSISTANT?

More videos:

  • Review - Continue.dev vs. Cline: The Best Coding Assistant for VSCode?

Category Popularity

0-100% (relative to NotebookLM and Continue.dev)
AI
89 89%
11% 11
Productivity
100 100%
0% 0
Developer Tools
0 0%
100% 100
Knowledge Management
100 100%
0% 0

User comments

Share your experience with using NotebookLM and Continue.dev. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, NotebookLM should be more popular than Continue.dev. It has been mentiond 9 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.

NotebookLM mentions (9)

  • How to Summarize PDFs Locally with Open-Source LLMs (No API, No Data Leaving Your Machine)
    You just need a few summaries occasionally. Standing up Ollama, a model, and an extraction pipeline to summarize five PDFs is overkill. If privacy isn't the constraint, a free web tool does it in seconds โ€” ChatPDF and NotebookLM if you don't mind an account, or PDFSummarizer.net if you want no sign-up and formats like EPUB/PPTX handled for you. One caveat that matters specifically because this article is about... - Source: dev.to / 27 days ago
  • Tools I'm Using in 2026 (and what I've stopped using from 2025)
    Last year I was heavily into Perplexity but for most of 2026 I've actually been using NotebookLM a lot more. Perplexity is still useful for just daily news, but when I want to research, when I want to summarise, when I want to learn... NotebookLM all the way. - Source: dev.to / 3 months ago
  • NotebookLM Skills: Give Claude Code a Brain That Doesn't Hallucinate
    NotebookLM already sorted this on Google's side. You upload your sources, Gemini answers only from those sources, every answer comes with citations pointing to the exact passage. The catch was it's browser-only. No API. No way to wire it into your agent workflow. - Source: dev.to / 4 months ago
  • How did I pass the AWS Certified Solutions Architect โ€“ Professional 2026 exam?
    In Notebook LLM, add the information sources you use for studying and use different formats. It currently supports Latin American Spanish. - Source: dev.to / 4 months ago
  • Automating Roadmap.sh into NotebookLM
    Then there's NotebookLM. For me, this is the "holy grail" of studying. You feed it a few links, and it generates these incredibly fun, informative "Deep Dive" podcasts. I started listening to them on my daily commute, and honestly, I've never absorbed complex tech topics faster. - Source: dev.to / 4 months ago
View more

Continue.dev mentions (3)

  • Feeding BrassCoders Output to Any AI Coding Assistant
    Check Continue's documentation for the current @file syntax in your version, as context-provider behavior has evolved across releases. - Source: dev.to / 21 days ago
  • Using GitHub MCP With Continue to Review PRs and Issues 5 Faster
    # This is an example configuration file # To learn more, see the full config.yaml reference: https://docs.continue.dev/reference Name: Example Config Version: 1.0.0 Schema: v1 # Define which models can be used # https://docs.continue.dev/customization/models Models: - name: my gpt-5 provider: openai model: gpt-5 apiKey: YOUR_OPENAI_API_KEY_HERE - uses: ollama/qwen2.5-coder-7b - uses:... - Source: dev.to / 9 months ago
  • When AI Assistants Meet Your VS Code Setup
    The Setup Reality: Installing Continue was straightforward since it functions as VS Code extension. Thereโ€™s a bit of a jump to configure. I was using Agent mode, and some of the settings have to be changed on the web UI. Right now, Iโ€™m using two different assistants: one for my Jekyll project and the other for my Astro projects. You can customize your assistant with what they call blocks by setting things like... - Source: dev.to / about 1 year ago

What are some alternatives?

When comparing NotebookLM and Continue.dev, you can also consider the following products

Notion - All-in-one workspace. One tool for your whole team. Write, plan, and get organized.

Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.

Perplexity.ai - Ask anything

Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.

ChatGPT - ChatGPT is a powerful, open-source language model.

Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโ€”no more context switching, just breakthrough results.