SerhiiKorniienko/bullshit-detector

Fact-check and hype-audit any content: video, article, tweet, PDF. Extracts claims, verifies each via web search, and produces a report card with per-claim verdicts and an overall BS score (0-10). Use to evaluate credibility or debunk claims.

Analyze news coverage to distinguish between many independent sources and a single source reprinted many times. Queries GDELT for articles, groups by headline similarity, and estimates the number of distinct origins behind a claim.

Explains content or concepts at the requested depth (ELI5, practitioner, deep-dive) with a jargon glossary and context the original assumes, flagging oversimplifications or errors.

Fetch and normalize any content source (YouTube, TikTok, web articles, PDFs, tweets, local files) into clean text with metadata. Use when you need to extract actual text for summarization, analysis, or fact-checking.

Turns a completed BS report markdown file into a self-contained HTML page with a score hero, filterable claims, mobile-friendly cards, and print styling — ideal for sharing, presenting, or printing the report.

Converts any analysis report into platform-specific social media posts (X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, newsletters) and generates branded image carousels (PNGs + PDF) for visual platforms. Use when you need to share, publish, or promote a report online.

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks 'what does this video/article say' / 'is this worth watching'.