Alternatives
Products that do what PaiperSwipe does
Crowdsourced AI summaries for 250+ million research papers.
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Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck. Enter, Now I Get It! I made this app for curious people. Simply upload an article and after a few minutes you'll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery. Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves. Free for now - it's capped at 20 articles per day so I don't burn cash. A few things I (and maybe you will) find interesting: * This is…
Feb 2026 · nowigetit.us
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2023 · bulletpapers.ai
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For academics who have outgrown the spreadsheet tracker
May 2026 · manuscripts-app.com
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Look, every journaling app out there wants you to organize things into folders and tags and templates. I just wanted to write something down every day. So I built this. One note per day. That's the whole deal. - Can't edit yesterday. What's done is done. Keeps you from fussing over old entries instead of writing today's. - Year view with dots showing which days you actually wrote. It's a streak chart. Works better than it should. - No signup required. Opens right up, stores everything locally in your browser. Optional cloud sync if you want it - E2E encrypted with AES-GCM, zero-knowledge,…
Mar 2026
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Built an automated system to run a deep search of ArXiv and carefully find all the precise papers that exist on a complex topic. It's different from simple RAG because it searches, classifies, and adapts based on relevant papers it uncovers, and then continues until it finds every paper on a topic (trying to mimic the human research process). Benchmarked 10x higher accuracy and total retrieval compared to Google Scholar for a median search (whitepaper on website). Also knows when it is complete, and misses virtually nothing (< 3% or so, once it's converged). Website has a free trial and a…
2024 · app.undermind.ai
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After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality // Detailed feedback with actionable recommendations. // PDF report generation. //…
2025 · github.com
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Hi HN, WikTok is a UI for Wikipedia that lets you quickly swipe (or use your arrow keys) to navigate between random and recommended articles (based on the previous articles you interacted most with). It's just a fun project I hacked together this weekend, so may be a little rough around the edges, but I'd love to get your thoughts. Let me know if you have any suggestions (or find any interesting articles!) Cheers,
2023 · wiktok.org
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Hi Hacker News! I’m a Bayesian statistician that has been working on applying hierarchical mixture models (originally developed for genomics) to structure text data, and in the process, used these models to build (what started as a personal) tool for conducting literature reviews and deep research. My literature review process starts with a broad search to find a few key papers/groups, and from there expands along their citation networks. I needed to conduct a few rounds of literature reviews during the course of my research and decided to build a tool to facilitate this process. The…
Oct 2025 · sturdystatistics.com
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Hello everyone! I always found it hard to find new research papers outside of my usual bubble. I thought a random feed (with no recommendation algorithms) might be a fun way to explore. But I also didn’t want to waste time on completely unrelated stuff — so the idea of a fast, swipeable format came to mind. Wikitok was a real inspiration! But Arxiv and Open Review APIs weren’t as robust as Wikipedia, so I pulled the papers into a Postgres backend. Right now, I’ve indexed papers from a few recent ML conferences to see if this might be useful for others too. No signups required and it’s…
2025 · artok.app
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