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

@Aurelsuuu · X

this is my product, come take a look:

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

aytekintank · Product Hunt

Jotform AI Data Assistant Turn form data into insights and action with AI

u/No_Drummer7550 · Reddit

Map of AI: we built a living map of the AI ecosystem Hello good people of Reddit! We made a living map of AI ecosystem. The agent draws, your attention grows it. It is for people who are looking deeper into AI world. Our cartographer agent searches the web, charts AI categories and the real products inside them, and redraws the map on its own. Type any territory ("voice cloning", "agents for retail" etc.) and map it live. What visitors explore literally grows the whole ma

@salmanzafar949 · X

malik_dixon1 · Product Hunt

TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

allybahaei · HN

Bring all your sources into a visual space, ask questions with full context, branch LLM conversations, and go deep on YouTube videos / research papers to build your knowledge canvas.

@igorluchenkov · X

Hey Yuhao! Been running a lot of agents while building UI and built a tool for visual testing that integrates nicely with agents and gives your agent a way to make sure it didn't introduce any UI regressions:

flysonic10 · HN

Meltbox – where your agents send you briefs

@brucewayne18457 · X

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