Posted by jbdamask 9 hours ago
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.
- https://mlu-explain.github.io/decision-tree/
- any article from distill.pub
- any piece from NYT
100 papers processed.
Cost breakdown:
LLM cost $64
AWS cost $0.0003
Claude's editorial comment about this breakdown, "For context, the Anthropic API cost ($63.32) is roughly 200,000x the AWS infrastructure cost. The AWS bill is a rounding error compared to the LLM spend."
Category breakdown:
Computer and Information Sciences 41%
Biological and Biomedical Sciences 15%
Health Sciences 7%
Mathematics and Statistics 5%
Geosciences, Atmospheric, and Ocean Sciences 5%
Physical Sciences 5%
Other 22%
There were a handful of errors due to papers >100 pages. If there were others, I didn't see them (but please let me know).
I'd be interested in hearing from people, what's one thing you would change/add/remove from this app?
For me personally, the pain point is being interested in more papers than I can consume so I’ve gotten into the habit of loading papers into LLMs as a way to quickly triage. This app is an extension of my own habit.
I also have friends without scientific backgrounds who are interested in topics of research papers but can’t understand them. The reason for the cutesy name, Now I Get It!, is because the prompt steers the response to a layperson
https://nowigetit.us/pages/9c19549e-9983-47ae-891f-dd63abd51...
The caption says, "Conceptual illustration based on the paper's framework — higher quality environments lead to better outcomes across all domains."
Feedback:
Many times when I'm reading a paper on arxiv - I find myself needing to download the sourced papers cited in the original. Factoring in the cost/time needed to do this kind of deep dive, it might be worth having a "Deep Research" button that tries to pull in the related sources and integrate them into the webpage as well.
Interesting idea about pulling references. My head goes to graph space...ouch
Social previews would be great to add
https://socialsharepreview.com/?url=https://nowigetit.us/pag...