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60 projects
Interactive visual explanations of mechanisms with synchronized narration.
int64ago · GitHub
vistep Visualize Every Step with AI — bilingual visual explanations, interactive models and synchronized narration.
A visualization language designed for AI agents to create and interact with charts.
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
Visualize AI coding-agent runs as interactive graphs from your transcript files.
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
Visual progress tracker that transforms AI coding plans into editable roadmaps.
u/Sapos_re · Reddit
I kept losing track of my roadmap while vibe coding, so I built a visual progress tracker When I started building apps with AI, writing the code no longer felt like the hardest part. The hardest part was understanding where I actually was in the project. After a few sessions, my roadmap would become increasingly difficult to follow. The agent would complete tasks, change files, and suggest new steps, but I would gradually lose sight of the bigger picture: What has actually been comple
Manage policies and track audit trails for AI-generated user interfaces.
@Wovyr · X
Interactive AI audit funnel for analyzing systems with multiple visual approaches.
@jozef_x1 · X
🚨 I Vibe Coded F0ur (4) different versions of @coreyganim's "Ai Audit" Funnel, which is your favourite? VERSION #3:
Build AI agents and watch them execute live on an interactive visualization dashboard.
@Aurelsuuu · X
this is my product, come take a look:
Ask any question — from “why is the sky blue?” to how neural networks learn — and watch a clear, animated explanation. Visual learning for curious minds of every age. Free to start
@Amriith916 · X
Your path to wisdom
Select a historical photograph and AI generates a cinematic mini-documentary that walks you inside the moment.
@cdgarciabauza · X
Just shipped Step Inside — enter iconic historical photographs with AI-generated cinematic mini-docs. Touch a photo, choose a style, and the camera walks you inside. Built with Claude + Higgsfield MCP. 👉 #HiggsfieldApp #StepInside #BuildInPublic
Explore three AI agent runs on a scrubbable timeline showing planning, tool calls, and recovery.
douvy · HN
Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think
Trace, replay, and verify AI agent decisions with signed audit trails.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
