SlothScroll Uses Gemma to Digest Instagram Feeds Into a Daily Brief

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A developer built SlothScroll, a morning digest that lets users avoid opening Instagram by summarizing the pages they follow. Each day a cloud browser visits those pages and Google's open-weight Gemma model writes a one-line gist for every post, assigns a topic, and filters out ads, reposts and giveaways. The result is a grouped web page and email edition highlighting the one to three posts worth reading, which takes about two minutes to review. The project runs on Browserbase, MongoDB Atlas and Render, and the developer described challenges including slow inference, which was reduced by setting minimal reasoning effort, and browser sessions timing out during full runs.

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