生产力1 month ago
Listimo | Smart To-Do Lists with Chat Built In
内置chat功能的to-do list app，用于任务组织和团队问责。
@ammar_nassri · X
I'm building a conversation-first accountability app. Let's connect
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内置chat功能的to-do list app，用于任务组织和团队问责。
@ammar_nassri · X
I'm building a conversation-first accountability app. Let's connect
ChatTempMail — 具有翻译、总结和问答等AI功能的临时邮箱服务。
ChatTempMail — AI 驱动的临时邮箱服务
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
liveSats：在YouTube和Twitch直播中接收观众加密货币打赏。
@evan_livesats · X
Building liveSats — crypto donations for streamers Creator economy, not dev tools: QR on stream → viewer tips USDC/ETH → message on your overlay. YouTube + Twitch. Connect, enable donations, go live.
用 OpenRouter 进行私密 AI 聊天，无账户无跟踪，支持自托管。
johnfahey · HN
As someone who doesn't use any of the more "advanced" features on sites like ChatGPT or Claude (agentic mode, memory, image generation, deep research, etc), I found the bloat of these services, both in UX and in performance, to be pretty tedious. There are a million AI chat interfaces out there, but I could never find one that just did simple messaging and history in the most minimal and lightweight way possible. So I made my own. Nully is written in Go and Vanilla HTML/CSS/JS. It literally just sends messages to OpenRouter, receives the result, and stores your messages locally. It's very simple, very clean, and very lightweight (see performance graphs on the site). It has basic chat features, basic model settings, and works with just about any OpenRouter text model. It supports attachments and basic web search via the OpenRouter API. I made Nully mostly for myself, but the cost to open-source it and host it on a cheap VPS is practically nothing, so I figured I'd release it if it c
输入纯文本快速生成演讲幻灯片，实时广播到房间内的手机。
@danielberigoi · X
Type plain text, get a clean deck in 30 seconds, broadcast it live to every phone in the room
实时翻译管理 WhatsApp 和 Telegram 对话，支持 200+ 种语言。
TranAI — 聚合海外主流应用的多开翻译器，支持沉浸式翻译、有道/百度/Google/DeepL/ChatGPT 等翻译通道和 AI 智能回复
在 Enclave 保密计算平台上运行的 LLM 聊天界面。
SteveDeFacto · HN
Hi HN, I built Enclave, self-serve confidential compute on GPUs. Technical documentation is on the site, but I'd rather show than tell. Here are a couple apps hosted live on the platform: LLM Chat bot: https://cc1f4f3f.app.enclave.host AI Image Generation: https://da09d0f2.app.enclave.host If you have any questions, I would be more than happy to discuss.