Freda Duan ✓
@FredaDuan · joined 26 Jan 2021
No investment advice. https://t.co/e2Ro5VeL0o
31 353Followers
358Following
311Posts total
168KViews on collected posts
Последние посты
Ищем новые посты…
In the chatbot era, @ChatGPT / @claudeai could comfortably combine personal + work in one product. The more agentic AI becomes, the harder it is to put these two worlds into one “super app.”
Chat is fundamentally passive. For chatbots, the difference between personal and work
9.8K views · 56 likes
· 9 reposts · 16 replies
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@FredaDuan @Muse @alexandr_wang It’s time to cook
175 views · 1 likes
· 0 reposts · 0 replies
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@FredaDuan @Muse we need a machine internet for agents workload and set rules for agents what they can’t do in human internet.
328 views · 2 likes
· 0 reposts · 0 replies
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Gave both @Muse & Instinct the $Reddit bot test: post a question on $RDDT, monitor and engage with users for 2 days, then write a summary report. Picked $RDDT specifically because it's the most bot-unfriendly platforms. Instinct actually completed the full long-horizon task,
28.3K views · 97 likes
· 3 reposts · 5 replies
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@FredaDuan @openclaw @Muse OpenClaw was constant work. But you get complete control.
Amazing for power users. Still.
But for normies 90% of tasks or more are too unreliable
990 views · 7 likes
· 0 reposts · 0 replies
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@FredaDuan @openclaw @Muse Curious why you don't put @bot there? It's the best for me because I like the 'teammate' aspect. And passes the Apple test of 'it just works.'
Most people don't have EA/Chief of Staff so Muse might be better (someone who delegates everything, no need
968 views · 6 likes
· 0 reposts · 0 replies
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@FredaDuan @openclaw @Muse OpenClaw had everything, but the UX was poor. It was hard to setup and maintain. It would break and required non-trivial work to get it back up.
And Claude banned the subsidized subscription tokens, so it was a lot more expensive to run.
510 views · 6 likes
· 0 reposts · 0 replies
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1/ What is actually different about @openclaw vs. $Instinct / @Muse ? Other than the latter being "OpenClaw for normal people" with no setup required?
2/ What happened to all the Claws people built earlier this year, and why are Instinct/Muse getting traction now?
3/ Why did h
59.4K views · 155 likes
· 9 reposts · 15 replies
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Like it or not, robotics is becoming the next major front in US-China competition, and the two ecosystems are already deeply intertwined.
For years, US robotics companies could make a reasonable tradeoff: build the intelligence in-house, source much of the hardware, and deal htt
23.9K views · 30 likes
· 11 reposts · 4 replies
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As many have pointed out (thanks for all the DMs), solana:RnL6cuL66A1rMZcXAGZQMsxVMCTihYk2Npb9Dvhpump has had tremendous growth recently, so the implied valuation is more likely to be closer to 30x.
Very impressive to see the open source names growing into their valuation http
7.8K views · 46 likes
· 7 reposts · 1 replies
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China Open-Source LLM Tracker
US$10-15B of total ARR, of which core LLM revenue (excluding Byte / Seedance) is ~$6-8B.
Growth has been phenomenal. Take Zhipu as an example (more data available as a public co.) ARR has grown 6x+ since March, while token usage is up >40x YTD. htt
25.3K views · 149 likes
· 31 reposts · 9 replies
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На фоне аккаунтов своего размера
12 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. показывается широко, но откликается мало кто.
Медианные просмотры8 775этот аккаунт924медиана для 10K–100K
Охват, %27.99%этот аккаунт3.62%медиана для 10K–100K
Вовлечённость, %0.61%этот аккаунт1.52%медиана для 10K–100K
| Показатель | Этот аккаунт | Медиана для 10K–100K | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 8 775 | 924 | 9.50× |
| Охват (просмотры ÷ подписчики) | 27.99% | 3.62% | 7.73× |
| Вовлечённость | 0.61% | 1.52% | 0.40× |
Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →
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
25.3K1 Sep
7.8K2 Sep
23.9K
10.7K
59.4K9 Sep
510
968
990
28.3K11 Sep
328
175
9.8K20 Sep
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.76%1 Sep
0.74%2 Sep
0.19%
0.35%
0.31%9 Sep
1.18%
0.62%
0.71%
0.37%11 Sep
0.61%
0.57%
0.85%20 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes49.5%585 in total
Reposts6.4%76 in total
Replies4.3%51 in total
Quotes1.4%16 in total
Bookmarks38.4%453 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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