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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 …
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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