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I built a Mac app that shows answers from my own docs while I'm on a call. 8 strangers have already sent PRs

I kept freezing on calls when someone asked a number I had in a doc somewhere. So I built Murmury: it listens to the other side of a Zoom/Meet/Teams call, transcribes it on the Mac (Whisper on MLX), and when they ask a question it shows a short answer from the documents I loaded. A few things I learned in the first week after open-sourcing it: - A stranger sent the PR that made it fully local: Ollama and LM Studio support. Now it works with no API key and nothing leaves the Mac. - "Good

五维评分

付费意愿
40
需求真实度
55
个人可落地
88
竞争空间
38
新鲜度
78

AI 分析

痛点:开会时被问到某个数字或事实时答不上来,需要在自己的一堆文档里实时翻找答案

目标用户:销售、客服、咨询顾问、创始人等高频开会且需要引用自有文档数据的人,尤其是注重隐私、不愿意把会议音频上传到云端的用户

证据:I kept freezing on calls when someone asked a number I had in a doc somewhere. / A stranger sent the PR that made it fully local: Ollama and LM Studio support. Now it works with no API key and nothing leaves the Mac. / 8 people I don't know have sent PRs. / Product Hunt without being featured brought almost nothing. Reddit and GitHub issues did.

变现:开源版免费引流,推出付费的 Mac 桌面商业版(本地模型一键配置、会议模板、团队文档库同步、Windows 版),采用一次性买断或 15-25 美元/月的订阅;另外可做企业私有化部署支持服务

MVP:基于现有 GPL 代码重写一个 macOS 菜单栏 App:系统音频采集 + 本地 Whisper 转写 + 用户拖入 PDF、Markdown 文档构建本地向量库 + 检测到提问句时用 Ollama 生成 3 行以内答案浮窗;两周内只做 Apple Silicon、只支持 PDF 和 Markdown、只支持 Ollama,先做 20 个种子用户内测

竞品:Granola、Otter.ai、Fireflies.ai、Cluely、Limitless (Rewind)

摘要:作者因为开会答不出文档里的数字,做了一个 Mac 本地会议助手 Murmury:用 MLX 上的 Whisper 转写对方语音,再从自有文档里给出简短答案;采用 GPL-3.0 免费开源,一周内有 8 个陌生人提交 PR,其中有人贡献了 Ollama/LM Studio 全本地化支持。作者反馈 Product Hunt 未上榜几乎没带来流量,Reddit 和 GitHub issue 才是有效渠道。目前完全免费、仅支持 Apple Silicon,没有收入数据,付费意愿未被验证。