Software Alternatives & Startups

XBrain.live

X Brain turns your X/Twitter liked tweets into a searchable knowledge base. Semantic search, AI classification, and knowledge extraction.

XBrain.live

XBrain.live Reviews and Details

This page is designed to help you find out whether XBrain.live is good and if it is the right choice for you.

Screenshots and images

  • dashboard //
    2026-05-23
  • search //
    2026-05-23
  • stats //
    2026-05-23

Features & Specs

  1. Web-based access

    The product is hosted at a live web domain, so it is likely usable from a browser with no heavy installation. I could not open the site, so this is inferred from the URL and not confirmed from the product itself.

  2. Possible focus on a niche

    Newer products with a narrow focus can offer a more tailored experience than broad platforms. I cannot confirm XBrain.live's actual positioning, so check its homepage and feature list.

  3. Potential for rapid iteration

    Small or emerging platforms often ship updates and respond to user feedback quickly. This is a general pattern and not verified for XBrain.live.

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Questions & Answers

As answered by people managing XBrain.live.
  1. Who are some of the biggest customers of XBrain.live?

    Early-stage - not yet at a scale to name individual customers

  2. How would you describe the primary audience of XBrain.live?

    People who use X/Twitter likes as a personal read-later or knowledge-capture system - the PKM and Zettelkasten/Obsidian crowd, founders and indie hackers who save build-in-public advice, and anyone with a large liked-tweets archive who's given up trying to find anything in it again.

  3. What makes XBrain.live unique?

    X Brain is likes-first, not bookmarks-first - X's API doesn't expose bookmarks to third parties, so most competitors build fragile browser extensions around bookmarks while your years of liked tweets sit permanently inaccessible past X's ~3,200-item archive limit. X Brain works from your official X data archive instead: upload once, and every liked tweet gets embedded, classified into 15 categories and 65+ subcategories, and enriched with an AI-extracted key takeaway. It's a one-time $4.99 payment, not a subscription, your own AI provider key is optional, and it exports natively to Obsidian and connects to Claude via MCP so you can search your likes mid-conversation.

  4. Why should a person choose XBrain.live over its competitors?

    Most rivals (Dewey, Tweetsmash, ContextBolt) are subscription-priced and bookmark-first, relying on live browser extensions that break when X changes its UI. X Brain is a one-time $4.99 payment, focuses on likes (an archive format competitors can't easily reach), and is the only one with both native Obsidian export and a Claude MCP integration for searching your archive from inside an AI conversation.

  5. What's the story behind XBrain.live?

    The founder had liked over 4,000 tweets across several years and kept hitting the same wall: X's search doesn't work on your own likes, so anything saved was effectively gone. Rebuilding notes on topics already researched once became the breaking point, which led to building a semantic search and classification pipeline over the official X data archive export.

  6. Which are the primary technologies used for building XBrain.live?

    Next.js 16 (App Router, React 19) on Vercel, Supabase (PostgreSQL + pgvector) for storage and vector search, Stripe for payment, Resend for email, and OpenAI, Anthropic, or Gemini for embeddings and classification depending on the key in use.

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Is XBrain.live good? This is an informative page that will help you find out. Moreover, you can review and discuss XBrain.live here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.