Research Paper → Twitter Thread → Newsletter Feature
Transform deep learning research papers into engaging social content and curated newsletter sections for academic communities.
Workflow Steps
arXiv API
Fetch new research papers
Set up daily queries for papers in machine learning categories (cs.LG, cs.AI, cs.CV) with keywords like 'open source', 'educational', or 'accessible'. Filter for papers from academic institutions or with code repositories.
Claude
Summarize papers for general audience
Use Claude to generate 3 outputs: a 280-character Twitter summary highlighting practical applications, a technical thread breakdown (5-7 tweets), and a 200-word newsletter section with key takeaways.
Buffer
Schedule Twitter threads
Automatically post the generated Twitter threads during optimal engagement hours. Include relevant hashtags (#MachineLearning, #OpenSource, #AI) and tag the paper authors if they have Twitter accounts.
ConvertKit
Add to weekly newsletter
Compile the newsletter summaries into a 'This Week in Accessible AI Research' section that gets automatically added to your weekly newsletter draft, ready for final review and sending.
Workflow Flow
Step 1
arXiv API
Fetch new research papers
Step 2
Claude
Summarize papers for general audience
Step 3
Buffer
Schedule Twitter threads
Step 4
ConvertKit
Add to weekly newsletter
Why This Works
Transforms complex academic content into multiple digestible formats, expanding reach from researchers to practitioners and students while maintaining accuracy
Best For
Academic institutions, AI communities, and educational organizations wanting to make research more accessible
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