PaperTrailDaily: Personalized research paper feed
Help AI researchers cut through the noise and find the papers worth reading each day
- Problem
- AI researchers want to keep up with the state of the art, but Google Scholar alerts are too noisy, Twitter is skewed, and word of mouth is unreliable, so they spend hours filtering and still fear missing key papers.
- Solution
- Users set research areas and keywords; the tool aggregates new papers from arXiv and similar sources daily, ranks relevance with a lightweight model, and generates a personalized curated feed; supports one-click saving, read markers, and export to reference managers.
- Users
- AI graduate students, researchers, and engineers who need to continuously track the frontier
- MVP
- Subscribe to arXiv categories and keywords; daily new paper aggregation; relevance ranking and one-line summaries; save and read markers; BibTeX export
- Revenue
- Free tier with limited daily items; paid unlocks multiple field subscriptions, shared team lists, and advanced filters; sell seats per lab or team
- Why now
- Paper volume is exploding and generic alert tools fail niche fields; lightweight models and the arXiv API let an indie developer build high-quality filtering at low cost