New Twitter/X digest app uses Claude Sonnet 5 to rank science and news
Get Wikipedia-style clarity on X's best science and news posts—without the toxicity.
The Science and News Summarizer is a new open-source tool that transforms the noisy firehose of Twitter/X into a tidy daily digest of science and world-news discussions. Rather than following specific accounts, it uses advanced search queries against the X API to surface posts based on engagement. The 'science' section pulls links to journal articles, classifies them by field, and ranks them by interaction. The 'news' section clusters posts around traditional front-page topics like war or elections, using keywords translated into Japanese, Spanish, Portuguese, Arabic, and Indonesian—then auto-translates all non-English posts back to English. Every tweet and referenced article includes direct links, so users can verify sources easily.
Under the hood, the app leverages Anthropic's Claude models: Sonnet 5 generates concise summaries of tweets and linked articles, while Haiku 4.5 handles fast classification. The developer explicitly avoids curating a cherry-picked set of influencers, relying instead on wire services like AP and Reuters for baseline credibility. Social-media-only citizen reporting is included but flagged as 'unsubstantiated' when no professional news source is attached. The project is fully open-source, with the repository inviting community feedback on bugs and feature requests. Notably, the multilingual approach means Japanese stories may be overrepresented (X's popularity there) while Chinese content is underrepresented due to the platform being blocked—a candid acknowledgment of the tool's built-in biases.
- Uses Claude Sonnet 5 for tweet/article summaries and Haiku 4.5 for classification by field.
- Supports five non-English Twitter/X languages (Japanese, Spanish, Portuguese, Arabic, Indonesian) with automatic translation to English.
- Ranks by engagement via advanced API search, includes direct links, and flags citizen reporting as 'unsubstantiated' when no news source is linked.
Why It Matters
Gives professionals a curated, source-linked X digest without the time sink or toxicity, offering a transparent, bias-aware approach to news aggregation.