X Brain

Product Introduction

1. Overview: X Brain is a B2C SaaS application that functions as an AI-powered semantic search engine and knowledge management tool for personal social media archives. It processes a user's exported X (formerly Twitter) data archive to create a private, searchable database of liked tweets.
2. Value: The primary benefit is unlocking the latent knowledge trapped in a user's thousands of saved tweets by enabling search based on semantic meaning and providing AI-powered organization, eliminating the need for manual scrolling or ineffective keyword matching.

Main Features

1. Semantic Search via Vector Embeddings: The core technology converts the text of each liked tweet into a high-dimensional vector embedding (e.g., using models from OpenAI, Anthropic, or Google). This allows users to perform natural language queries and retrieve tweets that are conceptually similar, even without shared keywords.
2. Automatic AI Classification & Insight Extraction: The system employs Large Language Models (LLMs) to auto-categorize tweets into a structured taxonomy (15 categories, 65+ subcategories) and extract key insights, mentioned tools, and references without any user input.
3. Multi-Format Export & Integration: Provides flexible data portability, allowing exports to CSV, JSON, and Markdown. A standout feature is the one-click generation of an Obsidian-ready vault with structured Markdown notes, frontmatter metadata, and index files for direct integration into popular PKM (Personal Knowledge Management) workflows.

Problems Solved

1. Challenge: The "digital hoarding" problem on social platforms—users save (like) valuable content but have no efficient way to retrieve it later, leading to lost insights and wasted curation effort.
2. Audience: Power users of X (Twitter), including professionals, researchers, creators, and curious learners who actively use the "like" button as a save-for-later bookmarking system and have accumulated hundreds or thousands of liked tweets.
3. Scenario: A founder needs advice on hiring engineers. Instead of scrolling endlessly through their likes, they query X Brain with "advice on hiring engineers" and instantly get highly-relevant, semantically-matched tweets from industry experts, complete with extracted key takeaways.

Unique Advantages

1. Vs Competitors: Unlike basic bookmarking tools or X's native bookmark feature, X Brain provides deep semantic understanding and organization. Compared to other AI search tools, its specific focus on the X archive format and direct Obsidian vault export offers a unique, opinionated workflow for knowledge builders.
2. Innovation: Its technical edge lies in the end-to-end, automated pipeline: from processing the raw X data export (ZIP file), to applying LLMs for batch classification and insight extraction, to generating a ready-to-use knowledge base in Obsidian—all with a user-controlled, bring-your-own-API-key (BYOK) model for cost and privacy.

Frequently Asked Questions (FAQ)

1. How does X Brain ensure data privacy? X Brain uses Supabase for encrypted data storage with row-level security (RLS). Users process data with their own API keys (OpenAI, Anthropic, Gemini), and all data can be permanently deleted from the server at any time.
2. What is the cost structure for using X Brain? There is a one-time payment of $19 for platform access. Users then bring their own AI provider API keys, with typical costs of $1-$3 to initially process an entire archive. Subsequent searches and browsing are free; only new AI enrichment tasks consume API credits.
3. Can X Brain search other data besides liked tweets? Currently, X Brain is specifically engineered to process the official "Download an archive of your data" from X.com, which structures data around likes, tweets, and other account activities. Future expansions may include other data sources.