
AI Batch Image Renaming
Rename product photos, digital assets, artwork, and photography in bulk with descriptive AI-generated filenames.
@VisionRenamer · X
Try for free! All feedback welcome!
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Rename product photos, digital assets, artwork, and photography in bulk with descriptive AI-generated filenames.
@VisionRenamer · X
Try for free! All feedback welcome!

在浏览器中对 ZIP 文件排序、重命名,100% 本地处理,无需上传。
@TraXx474387 · X
Built ZipSort 🗂️ Sort files inside ZIP archives in seconds — no upload, 100% client-side (your files never leave your browser). Set rules by extension, prefix, suffix or keyword → download a clean, organized ZIP. Free to try:

一个AI工作区,将您的笔记、文件、视频和看板统一到一个地方。
@meshlearningAI · X

TchoAI:将文档和笔记转换为可编辑的演示幻灯片和图表。
dyfang · HN
TchoAI – Transform your documents into editable slide decks


Founder Flow — 为独立创始人设计的追踪和组织软件。
@zeuscode21 · X
Save time when building with

用于跟踪时间、管理项目和组织客户的AI驱动工作区。
@baptistedulac · X
time tracking for freelancers and agencies

保存和组织工作会话,用AI记忆即时检索任何工作。
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first

Almanac - 自动从文件生成包含源引用的团队wiki
reveriedev · HN
Almanac – A self-updating wiki from your files

Airo Mail organizes your inbox automatically with AI. AutoFile categorizes every email and suggests what to do with it — archive, trash, star, or mark read. Free 14-day trial. Avai
@HelenaWuv · X
I'm building a better inbox for founders :)

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age
