@stewartjarod · X

@raeezatameez · X

dropping mine - would love your take!

u/Constant_Extreme7408 · Reddit

I built a Chrome extension that rewrites emails for different cultures — would love feedback on the website Hey everyone, I've been building MailPolish — an AI tool that polishes emails, letters, and texts so they sound right for different cultures. Not just translation, but actually adapting tone, formality, and etiquette (e.g., a direct "Please send this immediately" becomes softer and more indirect for Japanese business culture). It works as a Chrome extension inside Gmail, a Gmai

@orkhanilyas · X

- Email signature generator with clickable CTA buttons, social links and banners for cold outreach.

@adultish_gavino · X

Vibe coding gets you to a demo fast. The first customer question is when it becomes a real product. Now you need a shared Inbox, website messages beside email, customer context, and no duplicate replies. I kept rebuilding that layer. So I made Minnas.

u/Forsaken_Coconut3717 · Reddit

Anyone down to test each other's tools? (socks stay on) Hey all! I've been a lurker for a number of years and I think it's finally time for me. I built a tool that I think might actually be worth something! At its core it basically unifies every customer’s texts and emails into one shared conversation and is built for setting up AI agents to run your communications right from within the platform. It has a lot of moving parts but I think it can genuinely be the next big platform for man

@okamigenshin · X

Try Authex, for securing your domain and email autonomously.

@me_jaythorat · X

lets you create email aliases on a free shared domain or your own custom domain, like [email protected]. Send and receive mail from them without ever leaving your primary mailbox and without revealing your real identity in case where you dont want to share your real email.

13639366668 · HN

Pay-per-call MCP server with 47 AI endpoints, micropayments via x402

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

@Rahulmailermine · X

Start sending transectional Email in lesss than 5 min, Send 3000 emails per month free

@getcoldops · X

Mission control for cold email agencies — every client's Instantly workspace in one dashboard, alerts before deliverability tanks, and AI-written weekly client updates.