
Omnichannel customer support with built-in AI — Messello
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
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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

连接您的 Gmail 账户,自动化发送电子邮件并跟踪打开率和点击率。
@KenziChenBuilds · X
Hey! Developer behind Always looking for feedback to make it better.

使用 Temp Mail 即时生成一次性邮箱地址,保护您的隐私,避免垃圾邮件。
@LateNightTo8xx · X

为Claude Code和Codex设计的开源遥控器,支持iOS、Android和网页。
@Ex3NDR · X
Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon

AI驱动的CRM,用于潜在客户发现、电子邮件验证和冷联系。
@ensaktas · X

在Solana主网上创建SPL代币,支持IPFS存储和钱包签名,60秒内完成。
@SolanaForgeApp · X
Lovable Build is insane. 🚀 @Lovable turns ideas into real products faster than ever. Built with Lovable: — create Solana tokens easily. Describe. Build. Launch. ⚡

RequestHarbor 安全客户门户,用于共享文件、答案和批准,实时可见状态。
@danielkleach · X
is a branded client portal for files, answers, sign-offs, and signatures. No more scattered email threads, docs in Google Drive, or confusion about who is waiting for whom. Business and client both see what is done and what is in progress on both sides, in

在发布前检查AI生成内容中的错误和安全问题。
u/Brief_Dust8845 · Reddit
I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

使用硬件认证和OTP保护GitHub拉取请求。
jallmann · HN
> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com

为现代团队自动化负载测试,无需复杂设置或手动脚本编写。
@GorodkovVi85373 · X
- load testing made easy even without enginnering team. Faster, cheaper, distributional