FeedScholar vs Scholar Inbox

Scholar Inbox (University of Tübingen) is probably the closest thing to FeedScholar: a personalized, email-first paper digest with real machine learning behind it. If you're evaluating both, here is the honest difference.

In fairness: Scholar Inbox is free, university-built, and genuinely good. It pioneered the personalized digest for machine-learning research and bundles semantic search and collections at no cost.

Scholar InboxFeedScholar
Onboarding Rate a list of seed papers to bootstrap 2-minute guided conversation + live preview
Field focus Strongest in ML/AI and adjacent fields Civil engineering live today; other fields by waitlist
Why this paper? Relevance score A written reason per paper
Depth tools Semantic search, collections (free) Digest history, tags/notes (paid); talk with a paper with cited passages (1 paper a month free, more on paid plans)
Price Free (university-funded) Free monthly digest of the top 5 papers; weekly or monthly with Basic $7/mo, Pro $15/mo

The honest verdict

If you work in machine learning, try Scholar Inbox: it's excellent there. If you work in civil engineering and want a digest that explains its picks, learns from your reactions, and lets you interrogate papers directly, FeedScholar is built for you.

Competitor details are stated as of mid-2026 and may change, so check their site for current specifics.

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