@burn2delete · X

eldar_hsnv · HN

Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

@FileProInfo1 · X

🚀 has successfully launched! helps users convert, view, process, and manage files online — including documents, PDFs, OCR, archives, email formats, and more. We’re excited to share it with the community. Check it out here:

u/maybeImakemoney · Reddit

I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav

u/SnowSilent7695 · Reddit

Got my first 60 signups through Reddit and want to continue the momentum I've gotten my first 60 signups through Reddit over two months and feel like I have a good thing going. I'm positioning my app as the Bloomberg Terminal for Everyday Investors where you can search over 600M+ financial datapoints in Claude, ChatGPT, or with your own AI Agent at an affordable price. There are other competitors trying to do something similar, but to my knowledge, they seem to be focused on specific us

@Nucleous_in · X

@Yashsha26424549 · X

chenglong-hn · HN

Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple

@marcin_u2 · X

-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

@leethatengineer · X

Building LyteNyte Grid

@theshaunak_twit · X

ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.

@MourynCher16712 · X

data analysis app. Check out