NodeOps ✓
@NodeOpsHQ · joined 25 Apr 2023
NodeOps brings AI creation and real economics together via CreateOS. Three powerful layers. One unified workspace.
43 817Followers
107Following
4 396Posts total
15.2KViews on collected posts
Posts recentes
Procurando novos posts…
Token 2049 Singapore is just around the corner and our team is excited to meet you.
If you are interested in talking about AI agents, infrastructure, or anything related, register here: https://t.co/3Jhohgee3p
Use code NODEOPS for a 10% discount on tickets.
Also, if you are ht
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San Francisco, September 3 🗓️
CreateOS joins a room full of 100 innovative leaders at the Smart AI 100 Summit.
Go chat with our cofounder, @naman_307, there and pick his brain on agents, infra, or just why San Francisco traffic is like that.
Host: @gracegongGG
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CreateOS is heading to @token2049 Singapore, one of the largest gatherings of founders, investors, and industry leaders.
Our team will be there to connect with teams and builders shaping the next generation of AI agents and infrastructure. If you are deploying AI in production,
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Come meet the team at @stepconference SF 2026 on August 27.
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CreateOS will be at @stepconference SF 2026 🌉
If you are deploying AI agents and need governed infrastructure that handles identity, policy, audit, and deployment in one workspace, come find us. Otherwise, let's have a chat with our founder.
Would love to hear what you are htt
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0:19
@NodeOpsHQ Can this run for ads too? Like take care of the ads that I am running?
Would be an interesting use case
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10/
If you want a whole team in one chat that ships the finished thing and acts only with your sign-off, this is the thing to point your work at.
Deploy your own UNO. You run it, you own it.
https://t.co/fQYsnVE1r2
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9/
The honest part, because this is early access.
UNO just shipped with a live test deployment. We are not handing you adoption numbers we have not earned.
Charts and diagrams, yes. No image, no video, no voice, no mobile app. Web and Telegram.
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7/
You own the economics too.
Pick which model each specialist runs on. Change it at runtime, no redeploy, it takes effect on the next message.
See what every message costs, broken down by the model that did the work. The spend is never a mystery.
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8/
Any one of these exists somewhere. The combination in one product is the part that is hard to assemble:
a team in one chat
plus real files, not text
plus actions behind a confirm gate
plus you pick the model and see the cost.
And you deploy it yourself.
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5/
And it checks its own output.
When something fails, it tells you honestly instead of pretending it worked. If a document generation step stumbles, it can verify and re-run.
We would rather it be honest than confident.
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6/
It also works inside the tools you already live in. Gmail, Calendar, Notion, and your own connections through Composio.
Before it touches any of them, it shows you exactly what it is about to do and waits.
You confirm, UNO runs. Nothing happens that you did not approve.
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4/
Most chats hand you a wall of text. Then you go rebuild it into the file you actually needed.
UNO ships the work. It writes and runs code and hands you the finished file. PDF, Word, Excel, slides, charts and diagrams, a working script.
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2/
Here is what every AI chat asks you to do without saying it. You pick.
One model gets the research. Another gets the spreadsheet. A third gets the email. You become the router, and you stitch the outputs together by hand.
UNO hides the picking.
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3/
You ask in plain language.
A team of specialists across engineering, design, data, finance, legal, product, writing, and marketing sorts out who should handle it. Pulls in more than one when the ask is bigger.
You still get one reply, in one normal chat.
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UNO: Your team of specialist agents, in one chat.
You confirm, UNO runs.
Not one assistant that hands you text. A whole team that ships the work as real files and acts in your apps only after you sign off.
🧵👇🏻 https://t.co/a8ZiqpqswP
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0:50
Em comparação com contas do mesmo porte
5 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. bem na mediana da sua faixa de seguidores.
Mediana de visualizações1 233esta conta924mediana para 10K–100K
Alcance, %2.81%esta conta3.62%mediana para 10K–100K
Engajamento, %1.20%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 1 233 | 924 | 1.33× |
| Alcance (visualizações ÷ seguidores) | 2.81% | 3.62% | 0.78× |
| Taxa de engajamento | 1.20% | 1.52% | 0.79× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
23625 Jun
153
130
126
93
96
233
194
73
2.3K19 Aug
1.2K
2K25 Aug
1.2K1 Sep
65016 Sep
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
1.69%25 Jun
2.61%
4.62%
4.76%
4.30%
4.17%
2.15%
0.52%
6.85%
2.04%19 Aug
1.14%
1.20%25 Aug
0.89%1 Sep
2.46%16 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes66.1%160 in total
Reposts8.3%20 in total
Replies14.0%34 in total
Quotes7.4%18 in total
Bookmarks4.1%10 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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