Inpodcast AI — 将文档转成播客音频，支持 PDF、Word、Markdown 和 TXT 文件格式

Scanned.to — AI 驱动的 OCR 文档识别与翻译平台，将扫描 PDF/图片转为可编辑 Word/Text，保留原始排版，支持 50+ 语言翻译

@marcin_u2 · X

-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

u/No-Tap6993 · Reddit

I built a slide deck video builder Most AI generated visual can look like slop. I built a slide deck video builder for training content. It generates beautiful slide decks from 18 templates, adds voice over, allows post editing, and finally export to mp4. Check it out at https://inkbolt.ai and let me know what you think! I have to give a shout out to this repo for inspiring how to do design properly with AI. https://github.com/zarazhangrui/frontend-slides submitted b

@adhikari_premi · X

u/Jealous_Buy_8829 · Reddit

Just updated my context builder https://reddit.com/link/1utq6y0/video/jy8bpbotxmch1/player You can now upload your whole project folder and get one clean, optimized markdown file that you can paste straight into Claude or Codex. All file uploads are 100% client-side. Let me know if you find this useful or not, would love some feedback! https://markdone.dev/ai-context-builder/ submitted by /u/Jealous_Buy_8829 to r/SideProject [link] [comments]

Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告

@klorityx · X

One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.

dpc94 · HN

Devthropology – Better Insights for GitHub Repos

@JNRVInnovations · X

@DaiwikShashi · X

Building Scribur — the operating system for in-house UGC teams. We help in-house teams manage campaigns, content ideas, scripts, submissions, revisions, approvals, creator communication, and performance tracking all in one place.

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