
TinyPopups — Lightweight In-App Messaging for SaaS
用一个脚本标签为SaaS添加弹窗、问卷和反馈功能。
ibuildproducts · HN
I vibe coded tinypopups – a simple tool for in-app popups and feedback
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用一个脚本标签为SaaS添加弹窗、问卷和反馈功能。
ibuildproducts · HN
I vibe coded tinypopups – a simple tool for in-app popups and feedback

统一客户支持收件箱,支持 WhatsApp、Telegram、Instagram、邮件和短信,配备 AI 自动回复。
artur_aiupov · Product Hunt
Messello One AI inbox for WhatsApp, Instagram, Telegram, and email

SendMatico 多收件箱冷邮件营销工具,具备回复检测和会议追踪。
@sendmatico · X
SendMatico helps founders, agencies, and outbound teams run cold email campaigns with multi-inbox sending, follow-ups, reply detection, and deliverability tools.

SaaS客服的实时聊天部件,配备AI回复和访客分析。
u/visionsrb · Reddit
I left my job to build my SaaS, but now I’m the one who needs support Two months ago, I left my job to work full-time on tkit.ai , a customer support widget with live chat. I was excited and motivated when I started, but lately I’ve been feeling stuck, overwhelmed, and honestly a little depressed. It’s ironic that I’m building a tool to help businesses support their customers, while right now I feel like I’m the one who needs support. I’m struggling to know what to focus on next, whether

AI工作区统一Gmail、WhatsApp等工具以管理对话和自动化工作流。
@wrrkai_ · X
This week we're shipping Helping startups and growing businesses manage every customer conversation from one AI-powered workspace.

Orena是AI事件助手,描述想法后自动构建活动页面、邀请朋友并预订场地。
u/MainNail9026 · Reddit
Killing Luma and Partiful in 2026 I built an AI co-host that actually does the event logistics, not just the invite page Every group chat I've been in dies the same way: five people say "we should do something," someone suggests a date, three people don't reply, and it's dead. Currently the tools that exist (Partiful, Luma) are great at making a pretty invite and then sending to an RSVP list. But the invite is the last 10% of the work. The other 90% is picking a place,

教会管理平台,统一管理成员、考勤、财务、工资和通讯。
@jjabekah · X
Check out what I just built with Lovable!

按主题分组聊天消息,快速查找过往对话。
doantam · HN
I built a chat client that uses embeddings to cluster messages by topic
