@dhruvkumar1805 · X

@iamdeepak89 · X

@mr_wickedhacks · X

Write the doc once → get a notebook, slide deck, canvas, or resume from the same source. No rewriting for every format.

@pixelcave_john · X

Hey Germán! I recently launched and a major update to Tailkit!

Zilivo AI — AI 图片和视频创作平台

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.

@mrgriggio · X

Big update shipped to my vibecoded app focused on the italian market 6 AI flows now: furnish, render→photo, empty a room, photo→video, facade colors, garden makeover. 100% Built with @Replit and brainstormed with Claude Organic traffic starting to move thanks to @outrank_so (Blog and backlinks) + @UseFastlane (for social). Still $0 MRR but I keep pushing 🔨

audjust.ai — 智能音频编辑与 AI 音乐生成工具，帮助处理音频文件（智能缩短歌曲、延长音频、寻找完美无缝循环）并从文字描述、歌词或图片生成完整音乐轨道。支持多种风格，内置 MIDI 编辑器、音轨分离、Lo-fi 转换等专业工具。

jac08h · HN

I turned my quote collection into a walkable 3D library (desktop-only)

@Null_penure · X

Outreach Studio finds business leads with emails included, has AI write a personal message to each one, sends at a human pace, and triages the replies. Free plan included.

HeStudy · V2EX

做了个纯前端的 ASCII 工具站：图片转字符画、banner 生成、符号一键复制 平时偶尔需要查 ASCII 码表、复制一些特殊符号（箭头、制表符这类），每次都是搜一个满屏广告的老站凑合用，索性自己做了一个： https://getascii.com 目前有这些工具： 图片转 ASCII 字符画（拖一张图进去就行，支持调宽度/字符集/反色） 文字转 ASCII banner 大字 常用符号一键复制（箭头、制表符、数学符号、颜文字） 完整 ASCII 码表 + 一个交互式键盘映射图（点键盘上的键显示对应的 dec/hex 码） 进制转换器（ hex/dec/bin ↔ ASCII ） 几个实现上的点： Astro 构建的纯静态站，所有工具都是纯客户端计算，图片不会上传到任何服务器 没有账号系统，没有付费墙，打开就用 整站是绿色荧光终端风（ CRT 扫描线 + JetBrains Mono ），算是给终端审美交个作业 顺手给它做了个 25 秒的宣传片： https://www.youtube.com/watch?v=AjzU5mw1PrI

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