ContextEcho
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iOS · 等候名单中 · 还在打磨

跑步时听到那句好话,
到家就忘了哪一集

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, 不打开 App、不看屏幕,也能把当下打动你的那一秒钉在时间轴上; 回头一键回到原声,让收藏真正变成你能召回的知识。

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App 还在打磨阶段,没正式开放下载。中文用户加微信聊场景最快; 不方便加微信也可以发邮件,或在 X / Twitter 私信我

三个真实场景

你大概也遇到过

不是产品功能介绍,是听过这件事在你身上反复发生的样子。

跑步时听到,回家就忘

不能掏手机,又不想停下;下一段新内容立刻盖上来,刚才那句几乎不可能再找回。

通勤路上记不下来

锁屏点个收藏,几小时后翻历史——根本不知道是哪一集,更别说哪一分钟。

躺床上没力气坐起来

英文 AI 播客里有个概念没听懂,想打开 App 标记,下一秒就睡着了。

那一刻

然后它就被钉住了

不用打开 App、不用看屏幕—— 耳机双击、锁屏一下、Siri 一句、Action Button 一按; 当前播放位置立刻被钉在时间轴上,0.5 秒,全程双手不离原来的事。

  • 00:11:42 耳机双击 · 已记下
  • 00:23:18 锁屏一下 · 已记下
  • 00:42:05 Siri 一句 · 已记下

闭环

从听到的那一秒,到留下来的那一周

捕获 → 回看 → 沉淀。同一份数据,不在五个 App 之间来回搬。

Step 01

收件箱

订阅 + 导入的所有内容统一承接,从这里继续听到 / 看到。

Step 02

我的记录

每条记录就是回到那一秒的入口。空的留作待展开,写过一句的当成摘要看。

Step 03

回到原声

点那一刻一秒跳回,前后 15 秒自动续播,听完顺手补一句话就够。

Step 04

不打开 App 也能留

耳机 / 锁屏 / Siri / Action Button 都触发同一件事——在当前播放位置落一条空想法,回头再补。

沉淀

听过的,都还在

不是 AI 帮你总结,是你过去 30 天真实留下的痕迹。
本地存储,跟着你长出来的"听学证据"。

今日
2:14小时
3 段时间 · 点开看当日明细
连续
17
最长 21 天 · 今天还没断
最近 30 天
43:22小时
18 个节目 · 6 个平台
节目排行 最近 30 天
  • 01 某中文播客 12:10 14 集
  • 02 另一档英文 AI 播客 8:32 6 集
  • 03 B 站某 UP 主合集 5:18 22 集
  • 04 YouTube 某频道 3:04 8 集
  • 05 某 RSS 订阅 1:47 4 集

热力图、平台分布、趋势图、Smart Speed 节省的时间……都在 知识库 → 学习统计
界面示意 · 数据为占位

诚实沟通

说清楚我们做什么、不做什么

免得你装了 App 之后失望——你的时间也很贵。

可能很适合你

  • 每天有 1–3 小时听中文知识类播客或英文 AI / 技术内容。
  • 你希望「留下这一刻 → 回到原声 → 补一句话」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。

暂时不是这个

  • 不是通用播客发现客户端,不做社交、评分、跨集连播队列。
  • 不是「背单词式」英语学习 App,双语理解只是可选的增强层。
  • 不是全自动 AI 流水线,所有 AI / 网络都由你主动触发

做完了,第一时间告诉你。

App 还在打磨中。如果"听过却记不住"这件事真的烦到了你, 选你最顺手的那个方式留个联系方式就行。

iOS · Waitlist · still polishing

You hear something good while running.
By the time you're home, it's gone.

ContextEcho is an audio-first iOS companion for podcasts and video. Without opening the app or looking at the screen, pin the exact second that struck you onto the timeline; jump back to it later, and turn fleeting audio into knowledge you can actually recall.

The app is still in private polish — there is no public download yet. DM is the fastest way to start a quick conversation; email works better if you just want to be notified.

Three real moments

You've probably been here

Not a feature list — just things that quietly keep happening to people who listen a lot.

You hear it on the run

Phone is unreachable, you don't want to stop. The next thing buries it. By the time you're home, it's gone.

You can't reach the phone

You favorite from the lock screen, then come back hours later — and have no idea which episode, which minute, which sentence.

You're already lying down

An English AI podcast just dropped a concept you didn't get. Opening the app feels like work — and you're asleep.

The moment

Then it gets pinned.

No app to open. No screen to look at. Double-tap your earbuds, press the lock screen, say one Siri command, hit the Action Button — the current second is pinned onto the timeline. Half a second. Hands stay where they were.

  • 00:11:42 Earbuds double-tap · Pinned
  • 00:23:18 Lock screen · Pinned
  • 00:42:05 Siri · Pinned

The loop

From the second you heard it, to the week you remember it

Capture → revisit → keep. One dataset, not five apps.

Step 01

Inbox

Subscriptions and imports gather here — pick up where you left off.

Step 02

Today's pins

Every pin is a door back to that second. Empty ones wait to be filled in; the ones with a line read like your own digest.

Step 03

Back to the original

Tap a moment, jump in instantly with 15s of context, drop one line — and that's plenty.

Step 04

Capture without opening the app

Earbuds, lock screen, Siri, Action Button — they all do the same single thing: drop an empty thought at the current second; come back and fill it in later.

The keep

The hours that stayed

Not an AI summary. The real trail you left over the last 30 days —
stored locally, growing with you, on-device only.

Today
2:14hrs
3 sessions · tap for the day's detail
Streak
17days
Longest 21 · still going today
Last 30 days
43:22hrs
18 shows · 6 platforms
Show ranking Last 30 days
  • 01 A Chinese knowledge podcast 12:10 14 ep
  • 02 An English AI podcast 8:32 6 ep
  • 03 A Bilibili creator's collection 5:18 22 ep
  • 04 A YouTube channel 3:04 8 ep
  • 05 An RSS feed 1:47 4 ep

Heatmap, platform breakdown, trend chart, Smart Speed time saved — all under Insights → Learning Stats.
UI mock · placeholder numbers

Honest scope

What we are — and aren't — building

So you don't install it and feel let down. Your time matters too.

Probably for you

  • You spend 1–3 hours a day on Chinese knowledge podcasts or English AI / tech audio.
  • You want the shortest path from pin a moment → original audio → one line.
  • You're okay with an early build and can share friction honestly.

Not this, not now

  • Not a generic podcast discovery client. No social, charts, or cross-episode queues.
  • Not a vocabulary-drill English tutor. Bilingual help stays an optional layer.
  • Not an automatic AI pipeline. Anything networked or AI is explicitly triggered by you.

When it's ready, you'll be the first to know.

The app is still in private polish. If "I heard it but never kept it" really bothers you, leave a contact in whatever way feels easiest.

DM me on X Join by email