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Find relevant X conversations with local scoring and optional Codex AI drafts. Review and send replies yourself. Xboost helps founders, developers, and product teams find relevant conversations on X and prepare useful, contextual replies. Create separate profiles for your products or accounts. Each profile can contain its own X handle, keywords, filters, product details, and authoritative AI context. Features include: - Highlight relevant posts while browsing X. - Search using focused groups of keywords and phrases. - Score posts locally based on relevance, freshness, engagement, and quality. - Manually add any X post to the AI drafting queue. - Create product-aware reply drafts through your own Codex App Server. - Review, edit, copy, or fill a draft into the X reply composer. - Organize drafts by profile with filters and pagination. - Preserve drafts, reply history, discovery progress, and profile settings. - Create, copy, edit, and delete custom profiles. - Use light and dark themes. - Review people who followed you or interacted with your posts by opening X notifications. Xboost can assist with discovery and drafting, but you remain in control: - It does not automatically publish replies. - It does not automatically like posts. - It does not automatically follow accounts. - It does not automatically switch X accounts. - Every reply must be reviewed and submitted by you. AI drafting is optional. When enabled, Xboost connects directly to the Codex App Server address you configure using WebSockets. Post content, author information, the post URL, and the selected profile context are sent through your Codex server to generate a draft. Xboost does not operate a developer-owned cloud service. Profiles, settings, drafts, discovery sessions, and reply history are stored locally in your browser. Discovery results depend on the conversations currently available on X, your selected keywords, freshness settings, X access, and available Codex usage. Draft targets are goals rather than guaranteed results.
Sep 14, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.