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Rachel🥥 ✓

@Zesee · Hong Kong · joined 28 May 2008

00年|上交 x 帝国理工|AI Spark创始人|前微软&亚马逊产品经理|分享AI使用干货与商业化变现|抖音/小红书:Rachel的AI使用日记|wujingyisjtu@gmail.com

18 221Followers
286Following
1 879Posts total
1.6MViews on collected posts

Latest posts

Muse 最近火出圈。这款 Meta 推出的个人 AI 助理,让 Personal AI 这个概念变得具体了。 国内也有新消息:我之前测过的 Today @TodayAIofficial,9 月 24 日将正式上线中国版。 看到 Muse 受到关注,能理解大家为什么期待这种产品。一个能记住你的习惯、跟上项目进度、在需要时主动帮忙的 https://t.co/2FLhbP2Kml
25.9K views · 17 likes · 2 reposts · 20 replies Open on X →
9月24日,和 Today 见面。 Today 中国版将于9月正式上线。你的专属 AI 助理会逐渐记住与你有关的事,在需要时主动帮你。 Meet Today on September 24. Today launches in China. Your personal AI gets to know you over time and helps before ask. iOS · Android · Windows · Mac · Linux https://t.co/i5DOiS2h2T
417.2K views · 154 likes · 21 reposts · 36 replies Open on X →
今天pr跟我说storm mv特别火 让我赶紧复刻 然而我根本没刷到过它哈哈哈哈哈哈 https://t.co/qFpORTczAK
0:20
8.7K views · 32 likes · 0 reposts · 4 replies Open on X →
Agent Memory 不该只比“记住多少”,更该比:当事实、决策和任务已经变化后,Agent 能否找回当前有效、可追溯、与任务相关的证据,而不是把一段最相似的旧上下文重新塞回 Prompt。 这也是 Agent Memory Challenge 2026 第二期想解决的问题。 很多 Memory 1.6K views · 7 likes · 0 reposts · 25 replies Open on X →
Agent Memory Challenge 2026 Cycle 2 is now open. Long-term memory is not just about storing more history. It is about retrieving the right evidence, recognizing what has changed, and avoiding stale context when an agent needs to act. Three tracks: Textual · Coding · https:/
22.6K views · 29 likes · 6 reposts · 11 replies Open on X →
Codex 额度又又又见底了,还在蹲 Tibo 的下一次重置? 活还没干完,额度先用完了。加预算有点肉疼,下一次额外重置又不知道什么时候来。经常看到有人在问:有没有便宜点的 Codex 使用方案? 最近发现一个超宝藏的省钱平台 Agent Space: 现在新注册用户就有 $1 的免费体验额度,可以先免费体验一下~ https://t.co/EgW9Vo1wXz
13.3K views · 34 likes · 0 reposts · 41 replies Open on X →
@Zesee 刚好昨天 heygen 送了一个月会员,可以用上了 712 views · 1 likes · 0 reposts · 1 replies Open on X →
@Zesee 这是我用codex+hyperframes剪的数字人MV,一气呵成,比heygen效果好多了 https://t.co/2tqwq6WqUW
4:07
1.3K views · 8 likes · 0 reposts · 2 replies Open on X →
@Zesee 很实用,后续试试 3.5K views · 2 likes · 0 reposts · 1 replies Open on X →
https://t.co/RUQB4fdqDz 1.1M views · 2K likes · 380 reposts · 75 replies Open on X →

Against accounts of the same size

10 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views10 996this account924median for 10K–100K
Reach, %60.35%this account3.62%median for 10K–100K
Engagement, %0.26%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post10 99692411.9×
Reach (views ÷ followers)60.35%3.62%16.7×
Engagement rate0.26%1.52%0.17×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.1M16 Jul
3.5K
1.3K17 Jul
71225 Jul
13.3K18 Sep
22.6K20 Sep
1.6K
8.7K
417.2K22 Sep
25.9K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.22%16 Jul
0.09%
0.75%17 Jul
0.28%25 Jul
0.57%18 Sep
0.23%20 Sep
2.03%
0.41%
0.06%22 Sep
0.15%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes30.8%2 248 in total
Reposts5.6%409 in total
Replies3.0%216 in total
Quotes0.9%67 in total
Bookmarks59.7%4 349 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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