@Sparsh209 · X

Hi isha! Check it out here at: Would love to hear your feedbacks

shridharathi · HN

AI agent for beautiful data visuals

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

u/Express-Phase1532 · Reddit

rungraph - see what your coding agent actually did, as an interactive graph (open source) My coding agent kept doing 20 minutes of work I couldn't inspect afterward. The transcript exists (Claude Code and Codex CLI write everything to disk), but nobody reads 4,000 lines of JSON. So I built rungraph, open source and free (MIT). npx rungraph turns every session on your machine into a clickable graph: your prompts run down the spine, subagents get their own lanes, and it flags stuff like ret

@vishwesh_shinde · X

@Galliard232634 · X

Come study with me on

@jozef_x1 · X

🚨 I Vibe Coded F0ur (4) different versions of @coreyganim's "Ai Audit" Funnel, which is your favourite? VERSION #3:

@aarsh_30 · X

@SpalaAi · X

@davidbash · X

vibe coded these animated shader icons with so users can track what the ai is thinking. instead of a spinner, the ui shows parts of a catalogue the agents are working through & refining before results are served. small ux detail. much better ai feedback

@Aurelsuuu · X

this is my product, come take a look:

u/Comfortable-Break-40 · Reddit

I spent a year building a DSA learning platform with 111 interactive visualizers. Would love feedback. A few years ago, I failed interviews at Google, Amazon, and Microsoft. The reason was simple: I could code, but I never properly understood Data Structures and Algorithms. I spent almost a year learning DSA after that. During that time, I realized I don't learn by memorizing. I learn by building. And I couldn't find a tool that taught DSA the way I wanted to learn it. So I