ContextEcho
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iOS · 小规模内测邀约

先听见,再把「那一刻」留下来。

ContextEcho 是一款音频优先的 iOS 工具:通勤、跑步、家务里听的播客与视频, 用最小的动作钉住时间戳;回头一键回到原声,补上当时的想法,让收藏真正变成你能召回的知识。

了解它能做什么

中文圈默认走微信:点按钮复制微信号,打开微信粘贴搜索即可联系作者。我们也会按场景陆续开通 TestFlight。

9:41

正在播放

某一集播客标题…

Marker · 钉在当前进度

伴随收听 → 一键回到原声 → 一句话沉淀

核心价值

产品在解决的三件事

伴随场景难留痕

双手不方便时,也能通过耳机、锁屏、快捷方式把当前播放位置收成标记,而不是事后回忆「好像是某一集」。

收藏容易,回看难

每条标记都是回到那一刻原声的入口;配合笔记与知识库视图,把「当时为什么觉得重要」找回来。

沉淀成本太高

播客、订阅源、阅读与 AI 注解集中在同一套详情流里,减少在多个 App 之间来回切的摩擦。(AI 与网络能力均为你主动触发,不偷偷跑流量。)

当前版本

你能期待什么

  • 信息流收件箱 — 统一承接订阅与导入的内容,继续听到 / 看到这里。
  • 订阅源 — RSS、Bilibili 合集、YouTube 播放列表等来源管理。
  • 知识库 — 标记、想法与回看路径的沉淀中枢。
  • 不打扰的播放 — 底部 Mini Player 常驻,适合长时间伴随收听。
  • 离线优先 — 原文与笔记以本地为主;网络不好时核心阅读与编辑仍可用。

诚实沟通

边界(避免期待错位)

它更适合你,如果…

  • 大量消费中文知识类播客或技术向音视频,且经常在伴随场景收听。
  • 你希望「标记 → 原声 → 一句话笔记」这条链路尽量短。
  • 你接受早期版本仍在快速迭代,愿意反馈真实使用摩擦。

它暂时不是…

  • 通用播客发现客户端(不做社交、评分、跨集连播队列)。
  • 专门的「背单词式」英语学习 App;双语理解是可选增强层。
  • 全自动 AI 摘要流水线 —— 重要能力都由你主动触发。

想先验证的是「有没有人真在用」

和我们一样相信:真实用户的一句场景描述,胜过闭门造车十天。若你愿意成为早期使用者,欢迎加作者微信聊两句你的收听场景。

iOS · Invite-only beta

Hear it first. Keep that moment.

ContextEcho is an audio-first iOS companion for podcasts and video: capture a timestamp with minimal friction while you commute, run, or do chores; later jump back to the exact spot in the original audio and add a quick note—so saves become knowledge you can actually recall.

English readers: we’ll coordinate beta access and feedback over email. TestFlight may follow once we match your use case.

9:41

Now playing

An episode title…

Marker · pinned here

Listen on the go → jump back → one-line note

Core value

Three problems we focus on

Hands-busy moments

Capture the current playback position from headphones, Lock Screen, or shortcuts—instead of guessing which episode it was.

Saved, but hard to revisit

Every marker is a door back to that exact moment in the original audio, with notes and an insights surface so you remember why it mattered.

Too costly to turn into yours

Subscriptions, playback, reading, and optional AI annotations live in one detail flow—fewer app hops. (Anything networked or AI is explicitly triggered by you.)

Current build

What to expect today

  • Inbox feed — everything you subscribe to or import, with clear “continue listening / watching” paths.
  • Sources — RSS, Bilibili collections, YouTube playlists, and more.
  • Insights library — markers, thoughts, and revisit workflows.
  • Low-friction playback — a persistent mini player for long listening sessions.
  • Offline-first core — originals and notes stay usable when the network drops.

Honest scope

What we’re not building (yet)

This fits you if…

  • You consume Chinese knowledge podcasts or technical media, often while multitasking.
  • You want the shortest path from marker → original audio → one-line note.
  • You’re okay with an early build and can share friction honestly.

Not our focus…

  • A generic podcast discovery app (no social, charts, or cross-episode queues).
  • A vocabulary-drill English tutor—bilingual help stays an optional layer.
  • Fully automatic AI pipelines; meaningful actions stay user-triggered.

We’re validating real-world use first

One concrete scenario from you beats ten roadmap debates. Send a short email with how you listen—we’ll reply with next steps and TestFlight when it’s a fit.