X profile analytics
Satya Nadella (@satyanadella) X analytics
@satyanadella
Chairman and CEO at Microsoft
@satyanadella has 9.6M followers, a median of 832.3K views per post and a 0.35% engagement rate.
Based on 18 recent original posts (medium confidence). Updated October 7, 2026.
At a glance
Key stats
- Followers
- 9.6M
- Median views per post
- 832.3K
- Average views per post
- 1.8M
- Engagement rate (by views)
- 0.35%
- Original posts per week
- 1.8
- Average engagements per post
- 6,206
Engagement grade
Developing
This is near the lower benchmark range for accounts with 1M+ followers.
Profile score
68/100
- Profile completeness100
- Audience shape100
- Engagement25
- Consistency86
- Positioning clarity30
Monetization
Estimated X creator earnings
$115–$275 in the last 30 days
From 22.9M views on @satyanadella's original posts in the last 30 days.
Rewards eligibility: likely
Rough estimate. X publishes no payout rate, so this assumes about $5–12 per 1M original-post impressions from reported creator payouts. Only Premium viewers’ impressions count, so real payouts can be much lower.
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Growth
Follower growth
Tracked by Xholic since July 13, 2026.
Timing
Best times to post
When @satyanadella's recent posts performed best (UTC).
- #1 slot
7:07 PM
Monday · UTC
- #2 slot
8:18 PM
Tuesday · UTC
- #3 slot
7:18 PM
Wednesday · UTC
What worked
Top recent posts
- 01
@satyanadella ·
We’re building Copilot as a new OS for work that spans every model, every form factor, and every task. Today, we’re announcing our biggest update to Copilot to date, bringing four things together: · Autopilot: proactive and long-running agent built for the enterprise · Code: build apps with Copilot, hosted inside your company’s tenant · Home: Chat + Cowork together · Office: now fully embedded in Copilot (and Copilot embedded in Office, of course!) Plus, you can invoke Copilot in Teams, and we’re introducing Today, a proactive experience that surfaces the most important information from across M365 without needing to ask for it. The way we work is changing and so are our workflows. This update brings AI into that flow, from answering a question, to building an app, to getting work done on your behalf.
Video on the original post- 1.6KReplies
- 1.6KReposts
- 12.3KLikes
- 3.8MViews
3.4x average engagementHas a videoLong post (over 200 characters)Posted Fri 12:00 UTC - 02
@satyanadella ·
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing. We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive. And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control. So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk. The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia. This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.
- 1.3KReplies
- 1.9KReposts
- 15.2KLikes
- 3.3MViews
3.1x average engagementText onlyLong post (over 200 characters)Posted Sun 19:00 UTC - 03
@satyanadella ·
Just wrapped our earnings call. It was a very strong close to what was a record fiscal year for Microsoft. · Annual revenue: $331B, +18% · MS Cloud: $214B, + 27% · And Azure: $100B, +41% And even bigger opportunity ahead! I wanted to share some more perspective on two areas of focus for us:
- 764Replies
- 1.1KReposts
- 16.9KLikes
- 2.3MViews
2.3x average engagementText onlyLong post (over 200 characters)Posted Wed 22:00 UTC - 04
@satyanadella ·
Some more detail on the ROIC Intelligence App I built yesterday and mentioned on today's earnings call. I took the PDF that Brian Nowak at Morgan Stanley put together for Hyperscale ROIC this week and used Copilot code (coming in our new superapp) with a single prompt + skill (/drill-me) to create the plan, then used autopilot in auto to create the full app (with history, lookups, scenarios, what-ifs, etc). And /rubber-duck to test. And the best part is that all the artifacts are in my enterprise environment. My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric. And everything is under Agent 365 IT/Sec/FinOps control! So this is not about Tokenmaxxing or vibe coding. Every step of the way the rails are engineered to create value, making everything a long-term reusable asset, with governance/security, and cost controls. This is the full system to drive business value. Disclosures: This is all pulled from public sources, and for illustrative purposes only...not financial advice! :) Here is the app and architecture...
Photo on the original post- 360Replies
- 444Reposts
- 4.1KLikes
- 1.5MViews
1.7x average engagementHas an imageLong post (over 200 characters)Posted Thu 01:00 UTC - 05
@satyanadella ·
Today, we are announcing a series of updates that give customers frontier-grade security at half the cost. MAI-Cyber-1-Flash is our first cybersecurity model, built ground up to find the most challenging vulnerabilities in complex code bases. When combined with MDASH, it delivers world-class performance at 50 percent of the cost of leading models. We are bringing this capability to market through Project Perception, a complete agentic security offering grounded in real-world signals and security workflows. Teams of specialized agents work together to simulate attacks, detect and triage/investigate, and fix and remediate. This is the benefit of building the harness, context/signals, and action space separate from one model family. By combining specialized models and data with the right agents, tools, security context, and harness, we can advance the frontier of cost to outcome.
Photo on the original post- 278Replies
- 655Reposts
- 6.1KLikes
- 807.8KViews
1.2x average engagementHas an imageLong post (over 200 characters)Posted Mon 16:00 UTC - 06
@satyanadella ·
Delivery day at our Microsoft DCs as the first production Vera Rubins arrive. A huge thank you to our partners at @nvidia and our Azure hardware and datacenter teams for all the incredible work that brought us to this milestone! https://t.co/pBqKArGO1N
Photo on the original post- 390Replies
- 709Reposts
- 8.2KLikes
- 1.6MViews
1.2x average engagementHas an imageLong post (over 200 characters)Posted Fri 22:00 UTC
Formats
Content mix
- Text only
- 56%
- With media
- 39%
- With links
- 1 posts
- With hashtags
- 0 posts
Creator style: High-reach broadcaster
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About this data
- Analytics are inferred from public profile and recent post data. They do not include private impressions, profile visits, link clicks, or follower-source data.
- Deleted, protected, unavailable, or rate-limited posts may be missing from the sample.
- Stats come from public posts Xholic has stored, not private X Analytics. Xholic is not affiliated with X Corp or @satyanadella.
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