X profile analytics
Aaron Levie (@levie) X analytics
@levie
ceo @box - your business lives in content. unleash it with AI
@levie has 3.5M followers, a median of 112K views per post and a 0.55% engagement rate.
Based on 30 recent original posts (high confidence). Updated October 7, 2026.
At a glance
Key stats
- Followers
- 3.5M
- Median views per post
- 112K
- Average views per post
- 138.1K
- Engagement rate (by views)
- 0.55%
- Original posts per week
- 7.9
- Average engagements per post
- 762
Engagement grade
Developing
This is near the lower benchmark range for accounts with 1M+ followers.
Profile score
76/100
- Profile completeness100
- Audience shape100
- Engagement25
- Consistency100
- Positioning clarity55
Monetization
Estimated X creator earnings
$24–$57 in the last 30 days
From 4.7M views on @levie'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.
Free report
How does your account compare with @levie?
Get the same report for your own account by email: engagement grade, median views, best times to post and estimated earnings.
Growth
Follower growth
Tracked by Xholic since July 11, 2026.
Timing
Best times to post
When @levie's recent posts performed best (UTC).
- #1 slot
8:07 PM
Monday · UTC
- #2 slot
8:23 PM
Tuesday · UTC
- #3 slot
8:34 PM
Wednesday · UTC
What worked
Top recent posts
- 01
@levie ·
There's a huge opportunity right now in being the deployment layer for AI into the economy. The amount of work it takes to change out workflows in enterprises tends to be far greater than anyone realizes or would prefer. Clearly this is what the applied layer of AI is going to look like in the form of software and agents, but also it opens up new services firms opportunities. Legacy systems need to be moved to the cloud, data organization and access needs to be updated, software needs to be connected to agents in new ways, workflows need to be reengineered for agents, HITL needs to be figured out for the process, evals need to be generated and maintained, and the entire system needs to be continually updated as new models get released and new capabilities emerge. And the full list may even be longer. AI is not the same as just deploying software. Software you generally did the implementation of an existing, well understood category of technology, then stepped back and the customer kept running. With AI agents, you're delivering actual work augmentation to the organization, which has a completely different set of complexities associated with it. You're no longer deploying tools that the company is merely enabled by, you're deploying work output in a process. Completely different implementation and enablement process. As a result, this is going to open up lots of new kinds of firms and plays for existing firms to diffuse AI into organizations. We're going to see approaches by industry, by size of company, and by problem inside of companies. Traditional SIs will modernize and adapt (some will clearly not adapt as well), and new entrants will also be founded in this period that take advantage of this window. Great time to be an FDE or FDE firm.
- 128Replies
- 132Reposts
- 1.2KLikes
- 288.1KViews
4.2x average engagementText onlyLong post (over 200 characters)Posted Wed 17:00 UTCQuote post - 02
@levie ·
Literally impenetrable from agent swarms
- 166Replies
- 227Reposts
- 6.4KLikes
- 244.3KViews
3.3x average engagementText onlyShort post (under 100 characters)Posted Sun 17:00 UTCQuote post - 03
@levie ·
A big trend with most enterprises that I talk to is deploying internal FDEs into departments in their organization to help bridge the capabilities of AI into their underlying workflows. This requires a high level of technical expertise, an understanding of AI, and the ability to understand the workflows and processes that the enterprise is trying to automate. There’s no shortcut to getting automation without this combination of skills (either in one person or multiple). What’s exciting is this is an entirely new function in most enterprises, which is going to create a ton of new roles in the economy. “Every generation of technology creates jobs that didn't exist before it, jobs that arise from an immediate need in an emergent industry. The Automation Engineer is a key example of those jobs for this generation. Nobody has ten years of experience doing this yet, because ten years ago the tools that made it possible didn't exist (it didn’t even exist two years ago).” If you have software skills and are diving into AI, this is an area to go deep on.
- 97Replies
- 88Reposts
- 730Likes
- 114.1KViews
2.5x average engagementText onlyLong post (over 200 characters)Posted Thu 16:00 UTCQuote post - 04
@levie ·
We’re already starting to see what kind of new jobs AI is creating. AI requires significant technical work and surrounding services to deploy into the economy. This means jobs for AI engineers that build applied AI products sold to (or within) enterprises, FDEs to deploy agents into companies, new services firms for deploying AI, and more. And even the published stats of new jobs undercount all the existing jobs that are transitioning to new areas of AI work in an enterprise. Many prior data, research, and software jobs large enterprises are also being repositioned for working with AI. Every bank, life sciences company, manufacturer, and even law firm is bringing on more technical talent -or repositioning existing roles- to help with agent deployment in their companies. It’s a lot easier to picture what AI can replace vs. what it creates until it starts happening. Now we’re seeing what this looks like.
- 150Replies
- 106Reposts
- 853Likes
- 318.5KViews
1.9x average engagementText onlyLong post (over 200 characters)Posted Sun 23:00 UTCQuote post - 05
@levie ·
We probably need to all update our sense of what’s coming in terms of agentic workloads with the combination of agent swarms, better computer use, the next wave of APIs and MCPs coming online, and new form factors like Muse or Instinct, vertical enterprise agents, background workflow agents, and other products that are emerging right now. We’re going to throw agents at vastly more tasks in our professional and personal lives than we had initially imagined. The kind of information that agents will go out and find for us and do work for us in the background is going to be 100X more volume than what we can imagine previously prompting in a single session. You’re going to have agents go out and surgically recruit talent for you 24/7, look for every signal in your customer’s business for when to pitch them, process every single transcript and conversation for product insights, review every line of code written for security issues and bugs, brute force test your systems for issues, and 100s of other tasks. We’re probably 1% of the way into the shape of what all these agents look like, where they get deployed from, how they get managed, how we budget for them, and so on. But it’s inevitably going to happen at a scale that wouldn’t have been fathomable before.
- 154Replies
- 95Reposts
- 820Likes
- 121KViews
1.7x average engagementText onlyLong post (over 200 characters)Posted Tue 05:00 UTC - 06
@levie ·
Jev will be super helpful for agents to make split second decisions in workflows, data classification, judgment calls, and hundreds of other use-cases in the enterprise. Here's a quick demo with Box and Jev to make that real. The demo pulls an incident report from Box, asks whether it's customer-facing and how severe it is, moves the file into escalate, monitor, or review folders, and sets a metadata template instance with the result. This all happens nearly instantly and at almost no cost. You can imagine this in insurance claims, contract management, loan processing, security reviews, customer log analysis, and so on. Definitely a great new class of AI use-case.
Video on the original post- 76Replies
- 76Reposts
- 668Likes
- 116.1KViews
1.5x average engagementHas a videoLong post (over 200 characters)Posted Fri 17:00 UTC
Formats
Content mix
- Text only
- 87%
- With media
- 13%
- With links
- 0 posts
- With hashtags
- 0 posts
Creator style: High-reach broadcaster
Grow your own account
Want numbers like @levie's?
Xholic writes posts in your voice, schedules them for the hours your audience is active, and tracks what's working every day.
$0 today · Cancel anytime
Keep browsing
More in Founders & tech CEOs
See all of Founders & tech CEOs
Keep exploring
Free tools
- Compare Twitter AccountsPut two public accounts head to head and see who leads on views, engagement, grade and posting pace.
- Twitter Engagement Rate CalculatorCalculate engagement rate from your numbers or a public profile and grade it against your tier.
- X Monetization CalculatorChange the assumptions behind six X revenue models and compare gross revenue with direct contribution.
Guides
- Twitter Analytics: The Complete Free Guide (2026)Everything you need on Twitter/X analytics in 2026 — what's free, what needs Premium, how to read every metric, and free tools that fill the gap.
- Is X Worth It for Your Business? Score Your Readiness in 8 SignalsDecide whether X deserves a 90-day test: score eight readiness signals from 0 to 2, read what each score band means, and turn the gaps into a working plan.
From the blog
- X Analytics for Brands & Businesses: A Practical GuideHow brands and businesses use X/Twitter analytics to track reach, engagement, and ROI — with the KPIs that actually matter.
- X (Twitter) for Business: The Complete 2026 GuideSet up X for business, build an organic and paid strategy, use DMs responsibly, and track the metrics that connect X activity to revenue.
Best tweets on this topic
- Best tweets about Product-Led GrowthExplore the best tweets about product-led growth, including activation, onboarding, free trials, virality, conversion, retention, pricing, and PLG metrics.
- Best tweets about SaaSA curated collection of the sharpest, most-shared X posts about SaaS—saved so you do not have to dig through the timeline yourself. Updated every two weeks.
- Best tweets about LeadershipExplore the best tweets about leadership, covering decisions, communication, trust, accountability, culture, feedback, management, and team performance.
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 @levie.
- Own this account and want this page removed? Email [email protected].