@ak14053 · X

@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:

@CPLivesToShip · X

Not a startup but a project that helps you to manage your resume and job applications and more features on the way.

@vitverb · X

hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first

@torgimaOS · X

Voice to any document in 30 seconds

@latent_node · X

@adhikari_premi · X

@aethrosX · X

- a free pdf utility tools

@Berbir12 · X

introducing LifeLens Your health history shouldn’t be scattered. Keep medications, appointments, documents, memories, and family check-ins together in one private timeline. Your health story, remembered.

fouadhalawi · HN

Location: UK company (MicroCity Solutions Ltd, reg. 17103353); I work remotely from the Middle East (UTC+3) Remote: Yes, B2B — you contract the UK company, no payroll or employment friction Willing to relocate: No Technologies: Python, PHP, SQL (MySQL/PostgreSQL), FastAPI, LLM integration, RAG, OCR / document data extraction, automation pipelines, Shopify & WooCommerce APIs Résumé/CV: https://microcitylabs.com (two live SaaS products — try them on your own files) Email: [email protected]

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

@studywitharipsy · X