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Now I Get It – Translate scientific papers into interactive webpages

Now I Get It – Translate scientific papers into interactive webpages

by jbdamask·Feb 28, 2026·305 points·136 comments

AI Analysis

●●SolidSolve My ProblemNiche Gem

Solid on-ramp for paper skimming, but Claude with a saved prompt does the same.

Strengths
  • Removes friction for busy researchers—instant visual highlights and interactive format saves real reading time
  • Built for actual users (colleagues in scientific fields), not abstract personas
Weaknesses
  • Pure LLM wrapper—already possible via Claude/ChatGPT prompts without signup friction
  • Gallery view and sharing add minimal differentiation from free alternatives
Category
Target Audience

Researchers, academics, students, and domain experts across scientific fields

Similar To

Claude · ChatGPT · Perplexity

Post Description

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 a pure convenience app. I could just as well use a saved prompt in Claude, but sometimes it's nice to have a niche-focused app. It's just cognitively easier, IMO.

* The app was built for myself and colleagues in various scientific fields. It can take an hour or more to read a detailed paper so this is like an on-ramp.

* The app is a place for me to experiment with using LLMs to translate scientific articles into software. The space is pregnant with possibilities.

* Everything in the app is the result of agentic engineering, e.g. plans, specs, tasks, execution loops. I swear by Beads (https://github.com/steveyegge/beads) by Yegge and also make heavy use of Beads Viewer (https://news.ycombinator.com/item?id=46314423) and Destructive Command Guard (https://news.ycombinator.com/item?id=46835674) by Jeffrey Emanuel.

* I'm an AWS fan and have been impressed by Opus' ability to write good CFN. It still needs a bunch of guidance around distributed architecture but way better than last year.

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