stdrc ✓
@istdrc · joined 23 May 2021
co-founder and CEO @botiverse building https://t.co/D80NEuekju @raft_hq former author of Kimi CLI @Kimi_Moonshot ex-database kernel engineer @RisingWaveLabs
13 371Followers
833Following
1 488Posts total
1MViews on collected posts
Latest posts
Looking for new posts…
So smooth to use. I’m already all in!
Still loving the original yellow theme haha
4K views · 18 likes
· 0 reposts · 4 replies
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We're building the missing infra for agent applications. Introducing @botiverse. More soon.
5.4K views · 28 likes
· 1 reposts · 2 replies
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Raft Desktop Beta ships with 13 skins.
Currently on Sage 🌿
What's your color? https://t.co/ZARPVWBuUd
13.6K views · 10 likes
· 1 reposts · 0 replies
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Raft is sponsoring a Partner plan for Apache Maka (incubating) to support its development❤️ https://t.co/wazTdYGX7K
5.1K views · 25 likes
· 1 reposts · 1 replies
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interestingly, the bgm of this video was made by our video gtm agent with musik[.]build
and of course the video was recorded by that agent too
PS: musik[.]build is an open-source agent-native loop-making web app, link below👇 https://t.co/RpjkynjJPl
3.3K views · 11 likes
· 1 reposts · 1 replies
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Raft tip of the day: Channel Settings is the fastest way to tune a busy channel.
📌 Pin it to the top
🔕 Mute regular Activity
🗞️ Collapse long messages so the room stays easier to scan.
It is also where you make a channel private, archive it, leave it, stop an agent, or delete h
4.7K views · 8 likes
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0:18
@istdrc 并不是长上下文是错误的，或许就没有这个命题，而是没有找到无感有效压缩和检索历史 context 信息的办法。
453 views · 4 likes
· 0 reposts · 1 replies
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anyone who build long-running agents might have realized that long-context is not good
the context need to be compacted as frequently as possible
1.7K views · 13 likes
· 1 reposts · 2 replies
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Raft in 60 Seconds. https://t.co/5q8LOgruin
5.5K views · 64 likes
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1:00
@istdrc Great work, man. I like the idea of Raft, as I personally think the future of work is a hybrid between AI agents and humans.
https://t.co/KT7IlJIhiZ
2.4K views · 8 likes
· 1 reposts · 2 replies
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This is really cool!
Feels like the next AI shift is teams of AI agents.
With 1 agent, you're the bottleneck: splitting work, carrying context and verifying the output. An agent swarm doesn't fix it either: 5 sub-agents running the same instructions give you the same bugs and h
11.8K views · 20 likes
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Get started free: add a few agents to a channel, give them real work, and let the team grow.
Raft 1.0 is live. So are your agents.
https://t.co/yIDZhuxO68
7K views · 68 likes
· 2 reposts · 2 replies
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Why a team, instead of one bigger agent?
Because one bigger agent is still one context, with one view of the work. On Raft, each agent runs its own long session with its own memory. A review agent on GPT challenges the security of an Opus agent's code, and after the
7.5K views · 47 likes
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Since the public beta, we shipped:
· External agents: bring Hermes and more
· Agent admin: agents can create channels themselves
· Joint channels across servers
· Login with Raft, and the app marketplace
· Message search
· Attachment previews and comments
(plus more minor https:
14.9K views · 43 likes
· 1 reposts · 2 replies
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And it is not just us.
20,000+ agent-native builders and teams have started building with Raft, an average of 4 agents per human. The same shape keeps showing up: a few people, many agents, one shared workspace.
And a new office etiquette: don't talk to me, talk to my agents. h
13.5K views · 50 likes
· 0 reposts · 1 replies
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We built Raft with Raft.
10+ humans and 100+ named agents, running 99% of the company inside Raft, including this launch. Agents claim tasks, review each other's work, ship, and remember what happened last week. The humans set the direction and make the final calls.
As far as h
17.3K views · 75 likes
· 3 reposts · 3 replies
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Hi, I'm RC. I built Kimi CLI at Moonshot last year, and back in 2015, bots that lived in group chats. For the past four months, I've been building Raft in public.
Today I'm launching Raft 1.0.
Right now, working with agents means juggling terminals, sessions, and skills. The ht
888.3K views · 1K likes
· 146 reposts · 171 replies
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1:09
Against accounts of the same size
19 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views5 522this account924median for 10K–100K
Reach, %41.30%this account3.62%median for 10K–100K
Engagement, %0.46%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 5 522 | 924 | 5.98× |
| Reach (views ÷ followers) | 41.30% | 3.62% | 11.4× |
| Engagement rate | 0.46% | 1.52% | 0.30× |
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
7K15 Jul
11.8K
2.4K
5.5K
31.3K13 Aug
1.7K
1.3K
45314 Aug
4.7K2 Sep
3.3K
5.1K
13.6K14 Sep
5.4K15 Sep
4K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.03%15 Jul
0.20%
0.46%
1.23%
0.28%13 Aug
0.97%
0.15%
1.10%14 Aug
0.26%2 Sep
0.39%
0.53%
0.10%14 Sep
0.57%15 Sep
0.58%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes53.5%1 556 in total
Reposts5.7%167 in total
Replies7.7%223 in total
Quotes4.4%129 in total
Bookmarks28.7%834 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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