@manthornelabs · X

We make LinkedIn graphics for B2B founders

@shiftibis · X

Indie project 📝 ReBox: visual boards where color = group and branches = a file tree — both at once. Share links open without login (anyone with the link can edit). A Claude connector builds boards for you. English UI just shipped. #buildinpublic

@PickleCharts · X

Hey @Shakib2O1 Would love to talk to you about my SaaS project ! Drop me a DM

@arielopenins · X

@shakojanashvil2 · X

SoColoring — AI 驱动的可打印填色稿生成平台，支持文本生成填色稿、AI一键上色等功能，同时还有丰富的免费填色稿图库供用户自由下载，欢迎来这里寻找填色的乐趣

@SwapnanilDhol · X

Uploading a new version of my first app ( to the App Store tomorrow built in-part with Codex!

@0xLingjieKong · X

Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

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

@gimafore · X

Market intelligence on verified revenue, see how much it takes to get ROI when you acquire a startup

@palettetowncc · X

@bariyaone · X

Check out what I just built with Lovable!