
Podwise - AI Copilot for Podcast Listeners
Podwise 是播客 AI 助手,帮你理解并记住每期节目的要点。
Podwise — 专为播客听友设计的 AI 知识管理应用
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Podwise 是播客 AI 助手,帮你理解并记住每期节目的要点。
Podwise — 专为播客听友设计的 AI 知识管理应用

从实时目录自动生成符合您日程的播客会话
@Akisin1 · X
Listen Like You Live

Repodcast 将播客剧集转换为社交媒体内容,60秒内生成平台就绪的帖子和笔记。
@Repodcastapp · X

在一个工作区对比并运行多个AI模型生成文本、图像和视频。
AI Onekit — AI 聚合模型创作平台 - [更多介绍](https://aionekit.com/models)

与AI角色扮演伙伴练习面试、谈判和高风险对话。
@auditormusic19 · X
Building iGrow, an AI roleplay app to practice high stakes conversations before they happen. Check it here:

BotbaseAI:无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS

AI助手从团队共享上下文中回答问题,并提供信息源。
@nav_ux · X
Get your whole team's AI on the same page.

用 AI 聊天和 100+ 工具在一处创建文本、图像、视频和音频。
Fullmira — 一站式 AI 创作平台,整合 GPT、Claude、Gemini 等多个模型,同一界面完成文本、图像、视频和音频生成,内置 100+ 专用工具覆盖写作、图像编辑与视频制作

粘贴播客链接,立即获取转录和AI摘要。
u/vadeconry · Reddit
I built a tool that turns Podcast URLs into transcripts and summaries Hi everyone, I am a software developer by profession, and over the past few months I've been working on a side project called PodTyper. You can access it at https://www.podtyper.com Instead of downloading audio files or uploading episodes manually, you just paste a podcast URL (Spotify, YouTube or Apple Podcasts) and it generates a transcript along with AI-powered summaries. I originally built it becau

用 AI 创作多模态内容的对话式创意画布。
BananaCanvas AI — 前沿的创意工作区,结合了基于对话的 AI 交互和无限画布,用于多模态内容创作。

用可视化编辑器构建和部署AI语音智能体,无需编码。
@mattcabral_ · X
looking for honest feedback from devs

用 PodTLDR.fm 获取每日播客摘要和关键要点。
u/owocki · Reddit
PodTLDR.fm — I follow 12 podcasts and listen to none of them, so I built the thing that reads them for me I follow about a dozen long-form podcasts - Acquired, Lex, Hardcore History - and I was permanently 30+ episodes behind. Every new 3-hour drop just added to the guilt pile. I didn't want to listen to them. I wanted to have heard them. So: PodTLDR.fm. Add a podcast, and every time it drops an episode we transcribe it, summarize it, and email you the TLDR by morning - the one-line point,