Feynman WTF vs Sift Science

Finding great research shouldn’t feel like digging through an academic jungle. Feynman makes discovering cutting-edge science as easy as scrolling social media—minus the doomscrolling. Our app brings you daily research papers from arXiv, each one summarized in just 60 words. No jargon. No fluff. Just the key insights, delivered in a feed that respects your time and fuels your curiosity. Whether you're a student, researcher, or just a curious mind, Feynman helps you: Explore smarter: Browse papers across AI, physics, math, and more—handpicked and summarized by AI. Save time: Cut through academic clutter. Every summary is bite-sized and to the point. Stay sharp: Swap endless scrolling with daily doses of insight. Bookmark & personalize: Save your favorites and tailor your feed to topics you love. Built for the mobile generation. Backed by real research. Inspired by Feynman's love of clarity and curiosity. Join the club. Scroll smarter. Think deeper. Feynman is your shortcut to the best minds on arXiv—compressed for your brain. Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://www.termsfeed.com/live/0ece6d3b-97bb-403c-a992-0ca298425796

Sift helps researchers cut through scientific information overload. Most research feeds maximize volume. Sift maximizes relevance. Create personalized science feeds tailored to your exact interests using intelligent keyword optimization and customizable filtering. Instead of scrolling through hundreds of irrelevant papers, Sift surfaces the research that matters most to you. Built for researchers who want a faster, more focused way to stay current with the scientific literature. Features Personalized Research Feeds Create custom feeds based on keywords, topics, publications, or research interests. Sift continuously filters new literature to deliver highly relevant papers directly to your feed. Keyword Lab Optimize and refine keywords before creating a feed. Test combinations, evaluate article volume, and tune your feeds to achieve the right signal-to-noise ratio for your workflow. AI-Powered Abstract Analysis Instantly understand a paper’s core findings, methods, novelty, and significance with structured abstract analysis designed for rapid scientific discovery. Full Paper Analysis Go beyond abstracts with full-paper analysis that distills complex research into clear insights, highlights key contributions, and identifies important findings across the entire paper. Explore Landmark Research Discover influential and landmark papers across a wide range of scientific disciplines through the Explore page. Bookmarks & Reading Lists Save important papers from any feed or discovery surface to revisit later. Research Alerts Stay updated as new papers matching your interests are published. Easy Feed Creation Import publications and quickly generate personalized feeds based on your existing research profile and scientific interests. Designed for Researchers Whether you are an academic researcher, clinician-scientist, graduate student, or industry professional, Sift helps you spend less time filtering papers and more time engaging with the research that matters. Subscription Information Sift requires a subscription to access app features. A 7-day free trial is available for new users. Subscription features include: Up to 5 personalized feeds Unlimited abstract analyses Up to 30 full-paper analyses Keyword Lab access Bookmarks Alerts Explore access Additional premium research tools Subscriptions automatically renew unless canceled at least 24 hours before the end of the current billing period. You can manage and cancel subscriptions in your App Store account settings. Data Sources Sift indexes publicly available scientific metadata and research information from sources including PubMed and OpenAlex. Availability of full-text content may vary depending on publisher access and licensing. By downloading this app, you agree to Apple's Standard License Agreement (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/