Generate AI-Powered Twitter Threads

Generates complete Twitter threads with AI research and visual formatting, eliminating the need to manually research topics, write storylines, source images, and craft hashtags. Teams that want to ship consistent, engaging Twitter content without spending hours writing and fact-checking individual threads benefit from having this process automated.

Once set up with your API keys, you run the script with python main.py and provide a topic. It researches the topic using Tavily, generates a narrative thread using Claude, fetches relevant images from Unsplash, and formats the output with hashtags and emojis. Output: a complete, ready-to-post Twitter thread in your console.

A full Twitter thread ships in seconds instead of hours, with research and visuals included.

Requires Python 3.7+, pip, and four API keys because the workflow orchestrates calls to Twitter (tweepy), Claude (anthropic), Tavily search (tavily-python), and Unsplash (requests) in sequence. Uses python-dotenv to manage secrets safely in a .env file.

Requires valid API keys for four external services (Twitter, Anthropic, Tavily, Unsplash). Free tier limits on any of these APIs may throttle thread generation speed. The tool writes directly to Twitter if credentials are set up, so test with a draft workflow first before automating production publishing.