
MD2Card - AI Card Generator | Text to Visual Cards
将 Markdown 转换为视觉知识卡片,支持 30+ 主题和多格式导出。
md2card — MD2Card 在线工具,支持多主题,一键将 Markdown 拆分并生成知识卡片,支持 AI 魔幻卡片和长文智能拆分功能,可编辑,可导出 PNG/SVG/PDF,适合笔记分享与社媒传播
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将 Markdown 转换为视觉知识卡片,支持 30+ 主题和多格式导出。
md2card — MD2Card 在线工具,支持多主题,一键将 Markdown 拆分并生成知识卡片,支持 AI 魔幻卡片和长文智能拆分功能,可编辑,可导出 PNG/SVG/PDF,适合笔记分享与社媒传播

根据橱柜尺寸生成切割清单和材料清单。
@BradleyBeachMO · X
CabinetCalc converts finished cabinet sizes into production-ready cut lists instantly.

拖拽图像进行拼图、九宫格切割或AI分割,本地处理无需上传。
@lanford87746071 · X
上线了一个小工具:羊咩像素 WoollyPix 🐑 在线拼图 / 九宫格切图 / AI 智能分割 / 截图美化 全程本地处理,不上传图片,免费无广告

本地优先的工作台,用于编辑、预览和导出 design.md 设计系统。
@ricouii · X
我已经围绕 design.md 做了一个开源的工作台,以及品牌库 工作台支持模板编辑、预览、AI 生成、文件派生 token、css,品牌库方面还支持 HTML preview... 我还是相信 design md 是很有潜力的,比大部分的设计 skill 好用

Lingerlet – a tool that formats text to look like physical letter
zifanw9 · HN
Lingerlet – a tool that formats text to look like physical letter

Free online tools for image editing, SEO, text utilities, calculators, and productivity. Fast, secure, browser-based tools with no installation required
@toolsys01 · X

使用参考图片和多语言文本支持,生成和编辑分辨率达2K的AI图像。
imaginevid-ai · GitHub
Awesome-seedream-5-pro-prompts-and-skills About World's largest Seedream 5.0 Pro prompt library — 10,000+ curated prompts with preview images, 16 languages. Dreamina Seeream AI image generation. Free & open source.

AI生成HTML幻灯片,支持创建、分享和版本控制。
@s_witch_flower · X
LedgerInfra is live 🚀 Publish self-contained HTML slide decks generated with Codex or Claude Code directly from your CLI. Get one stable latest URL, fixed URLs for every version, and public, Workspace, or private sharing. Try it free:

设计、动画化并导出元胞自动机图案
@majo_puterka · X
Nerdy, browser-based pattern generator on Wolfram's cellular automata. SVG export, freehand mode, free.

拖动方框体验Flexbox布局引擎的推断过程。
drzivil · HN
Drag boxes around and watch a layout engine infer the Flexbox (no AI)

Sequo — 将编码想法转化为结构化计划和文档,由AI代理执行。
u/SSShken · Reddit
I was the only dev at a startup that made it to revenue. Launched my own thing 3 days ago and 61% leave on the first screen The founders I worked with had already built one company that did well before I joined. I was the only developer on the second one, sitting next to them the whole way while it grew into something with real revenue. Watched how they made calls, what they refused to spend time on, how they decided what mattered. Figured I'd absorbed enough to do my own. Three days in, th

探索AI协作开发的数学框架,进行高级微积分计算与验证。
@ErnestPresident · X
I know how to code Sun Yi so I vibe coded a multi layers math pipeline + multi layer verifier pipeline that do advanced calculus, I must do something wrong then.