@TerrellJoh7801 · X

Check out what I just built with Lovable!

u/LineMission3540 · Reddit

Would Love Feedback on an AI Study Tool I'm Building I’m a high school student currently building Vulty, an AI study tool that organizes and turns lecture notes and PDFs into interactive, editable note summaries, flashcards, quizzes, and even 1 to 15 minute audio podcasts. We’re starting early access testing before launch, and we would love feedback and beta testers. You can test Vulty out at https://vulty.org/ . If you'd like to access Pro or Premium mode for testing for free, DM me and I c

@sidbyok · X

Write your documents in Markdown with a professional visual rendering without HTML/CSS, just native Markdown.

@MorTech99 · X

the engineer who built Claude Code just dropped a 28-minute video on how to write prompts i know most of u dont have 28 minutes of attention span (neither do i lol) so here is a summary i made using full summary: 28min watch turned into a 2min read = saves you ~26min, youre welcome!

g418572664 · V2EX

做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复

Transmonkey — 所有您所需的翻译工具，一应俱全 - [更多介绍](https://www.transmonkey.ai/faq)

@herogaming7358 · X

🚀 Finally shipped my first SaaS project! Introducing ExamPrepAI 📚 Turn your own PDF or image notes into: ✅ Important Questions ✅ Short Answers ✅ Revision Notes No fake promises. Just a smarter way to revise. 🌐 🎥 Tutorial:

@petropavliuk · X

Hi mate. My projects

Kaih1825 · HN

Hi HN, I'm the author of this project. I built this because I wanted my handwritten notes to truly belong to me—free to be migrated to other apps instead of being locked inside the proprietary Goodnotes ecosystem. To be honest, I have absolutely no background in reverse engineering or binary file parsing. I built this almost entirely through "vibe coding" (using LLMs as my pair programmers—mainly Gemini Pro/Flash, and occasionally Claude Sonnet). My ultimate goal is to unlock .goodnotes files so

@torgimaOS · X

Voice to any document in 30 seconds

@ajkbossp · X

Check out what I just built with Lovable!

pw · HN

Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video. It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2. The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running