
Spala — Visual Backend Logic for AI-Built Apps
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
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Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X

Kaspa Ecosystem Knowledge Infrastructure
@moxypixy15683 · X
Are you vibe coding and want to understand the argent language better? understands .ag files. You can pay with kaspa to use it :)

Explore world history through an interactive map of civilizations, empires, and historical figures.
@_heysumit · X
Just shipped an interactive world explorer. watch empires rise, discover notable historical figures, and explore ancient places. live: #buildinpublic #nextjs #webdev #ai

Browse curated Midjourney sref codes organized by style to generate consistent image aesthetics.
Midjourney Sref code 精选库 — 在 Midjourney 的 prompt 输入 `--sref xxx` ,可以固定生成某种特定风格的图片。这对很多人来说非常方便,不用写一堆效果词,只要记住几位数字就可以。但 `--sref xxx` 有大概 40 亿个,其中重复或者质量不佳的不在少数。因此做了一个网站把一些个人觉得不错的 sref code 收集起来并进行分类,方便新人或

Explore interactive visualizations of mathematical curves, fractals, symmetry, and topology.
@vkuoo · X
Added more demos showcasing graph-math relationships, built with Codex.

A GitHub-backed wiki for Open Knowledge Format bundles
aiobe · HN
I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups

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

Ask questions about the world and see answers on a map with live geospatial data.
@agenticearth · X

Cull, enhance, and generate photos with AI in your browser.
ansheng_hu · Product Hunt
MomentSift Cull, enhance, and create better photos with AI

Generate a personalized astrological portrait from NASA astronomical data with AI astrology.
cosmogram · Product Hunt
www.cosmo-gram.com Astrology & AI

AI Games Prompt Atlas: a map of the games people ask to build
vladgl94 · HN
AI Games Prompt Atlas: a map of the games people ask to build

Explore 150 train routes on an interactive world map with facts about each line.
@Flightmussy · X