Problem

Researchers worry about missing important new pre-prints. arXiv only offers very coarse e-mail lists; Google Scholar alerts are noisy; Twitter used to work but is unreliable. Forums (HN / Reddit r/academia, r/MachineLearning) repeatedly ask for better pre-print discovery.

Existing products

• arXiv Sanity Preserver – free, only ML/AI categories, no summaries/integrations.
• ResearchRabbit – paid ($9–19/mo), graph-based discovery, no lay summaries, weak arXiv coverage.
• Litmaps – paid ($18/mo).
• Connected Papers – freemium, focuses on related-work graph, no alerts.
• Semantic Scholar alerts – free, but no custom topics, no summaries.
• Scholarcy, TL;DR Paper etc. – AI summaries but no continual alerting.
  => There is space for “alerts + good filtering + AI lay summaries”. Having paying competitors (ResearchRabbit, Litmaps) shows willingness to pay.

Evidence of demand

• Quora thread the user linked: multiple scientists wish for better arXiv alerting & summaries.
• HackerNews threads: “How do you keep up with arXiv?” (points to 300+ comments; many complain about information overload).
• Reddit r/MachineLearning often posts “Best arXiv feed?”...