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Shuo Wang engagement report

@shuooo - 378K followers on X

Measured over 8 original posts from a 30-day window, last computed on October 12, 2026.

Engagement

Middle of its size range
Per follower
0.049%
of 378K followers
Per impression
1.41%
13K views on a typical post
Reach
3.48%
of its followers see a post
Typical post
182
interactions (median)
Saved
0.046%
6 bookmarks on a typical post
Posting rate
0.63/day
active 30% of days
Peak time
04:00 UTC
Monday

A typical post picks up 182 interactions against 378K followers, an engagement rate of 0.049%. Measured over 8 original posts, its engagement rate beats 59% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 13K times each, and 1.41% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video and 13% link out. The account's strongest tracked post pulled 22K interactions, about 120x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on October 12, 2026. Recurring tag: #sftechweek.

Compared with accounts its own size

Shuo Wang's engagement rate beats 59% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 57% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.049%, Shuo Wang sits above the 25th percentile of the 204,956 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 04:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link13% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 13% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 371 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • May 29, 2026120x their median

    🚨💰 BREAKING: Arsenal owner Stan Kroenke is reportedly ready to reward EVERY Arsenal player with a brand new Rolls-Royce Phantom worth between $530K–$580K if they beat Paris Saint-Germain tomorrow and deliver Arsenal’s FIRST EVER Champions League title. 😳🏆 https://t.co/m9v4lVFYbi

    19K2.1K3612342.3M viewsView on X
  • May 8, 202629x their median

    Life update - Married the love of my life today ♥️

    4.7K4452744499K viewsView on X
  • May 7, 202623x their median

    Kalshi raised $1B at a $22B valuation led by Coatue, with participation from Morgan Stanley, Sequoia, a16z, and others. In 2018, we were two kids who loved math, markets, and debate. And we had a dream: build the next generation financial market, where we capture a broader set of questions and harness the power of the masses to price them better than Wall Street. Kalshi was born to fulfill that dream. Today, most of these questions are traded indirectly, priced through imprecise proxies or negotiated bilaterally in opaque, restricted, relationship-driven markets. But thanks to our incredible community of users who make our markets work, Kalshi has the opportunity to change that by turning historically fragmented and untradeable risk into open, liquid, and standardized markets. We’ve seen this movie before. When interest rates, currencies, commodities, and crypto moved from dark to lit markets, volume did not just migrate: access expanded, new use cases emerged, and the opportunity grew by orders of magnitude. Today, Kalshi represents over 90% of US prediction market volume and the majority of activity globally, with annualized volume growing to $178B over the past 6 months. What started as retail is quickly becoming institutional — hedge funds, asset managers, prop firms, and insurers are beginning to trade, provide liquidity, and hedge real-world risk directly. The scope and scale of prediction markets are just beginning to take shape. We’re using this new capital to accelerate the institutional adoption underway — unlocking trillions in capital to facilitate active trading and risk management. Prediction markets are moving from early adoption to core financial infrastructure. This is just the beginning.

    3.4K3222912252.8M viewsView on X
  • Feb 11, 2026

    How Elon Musk ships products at 𝕏: • Ultra-flat organization with massive individual agency — engineers have real ownership and freedom to act. • Build it in a week → ship it — speed is non-negotiable; prototypes turn into live features fast. • Elon runs weekly reviews with essentially every engineer: 1-2 slides max, lightning-fast feedback, direct decisions. Contrast that with legacy Big Tech like Meta, where approvals dragged on for months (or longer) through layers of bureaucracy. At X: often just one week from idea to launch. Bottom line: “He gives people a lot of rope” — trust them to run with it, but expect rapid results and hold everyone accountable through direct, high-velocity loops.

    3.6K3901745912M viewsView on X
  • Mar 30, 202622x their median

    The loudest story about AI is a lonely one. One person with an army of chatbots. Other humans are friction. That gets the future wrong. The best things aren’t built alone. In a moment of change, we want to remind the world (and ourselves) what Notion stands for: — Think Together

    3.1K4111992731.3M viewsView on X
  • May 18, 202612x their median

    I’m excited to share that I’m joining Andreessen Horowitz as a Partner on the New Media team, focusing on the intersection of comms, networks, and investing. I’ve been working on these three things throughout my career, first in early-stage investing and most recently in comms at Rostra, writing about my perspectives and experiences along the way. For a long time, I thought these were three different paths I’d have to choose between. I’ve done comms, but I’m not just a comms leader. I write and build community, but I’m not just a writer or community builder. And I’ve invested, but I’m not just an investor. When @eriktorenberg approached me about the opportunity, he told me I could come do all of it under one roof, at a scale that wouldn’t be possible anywhere else, and crafted the right role to make it work. @a16z is the perfect place for me to manifest the full range of my interests, skills, and ambitions. Erik has been one of my earliest believers (since college!), so this feels like a long arc finally closing. I look forward to working alongside him and the rest of a16z’s brilliant team, and also hire even more great people into the firm. I’ll be taking some time between roles to touch grass and exist in the context. In the meantime, my DMs are always open.

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  • Jun 25, 20268.0x their median

    We’ve raised $320M at an $11B valuation, led by Addition. AI is changing how companies are built. Teams are smaller, global from day one, and using agents more. We’ve spent 10 years building the financial rails for that world. We’re now building the intelligent layer on top. https://t.co/71AcyjF3KD

    1.0K195155822.2M viewsView on X
  • Mar 30, 20267.8x their median

    We're hiring: Ghostbuster position open. Join Deel's version of DOGE, our strongest operational team. $200k+/year - remote. Over 7 years, Deel scaled to 7,000+ people across 100+ countries. Every company this size accumulates ghosts: - A process installed by someone who left 2 years ago - A tool slowing everyone down that nobody wants to call out - A decision from 2022 that no one revisited Ghostbusters find broken things and fix them. Own the outcome end to end. You'll partner directly with our COO & myself on the highest-priority operational and strategic initiatives at the company. No busywork. No micromanagement. Just the objective. What it takes: - Builder mentality. You'll get resources, but you'd crush it without them - First-principles thinker. You walk into any department and ask, "Why does this even exist?" - Financially sharp. Business-minded. Operationally elite - AI-native. You help every team rethink how they work, every single week - Self-directed. We give you the mission, not the playbook This is the strongest operational team at Deel. Every person on it is a force. If that's you: https://t.co/s94M1Vv7Pe

    1.2K6613437254K viewsView on X
  • Mar 5, 20266.2x their median

    A 10-minute application for $100,000. A free, no-strings-attached prize for builders, scientists, operators. Introducing the Eigenprize. ↓ run by @menemazarakis, @markkhrapko, & yours truly :)

    85113978551.4M viewsView on X
  • Jul 10, 20265.0x their median

    NEW: Cyan Banister's Legendary Track Record Her first investment ever? SpaceX. In 2007, she invested every dollar she had into SpaceX & never sold. Combined, @cyantist & Scott Banister are easily the #1 angel investors in the world. SpaceX. Anduril. Uber. PayPal. Affirm. Flexport. Postmates. Niantic. Opendoor. Carta. Together AI. Diamond Foundry. Crusoe. Flock Safety. Substrate. Brave. Depop. Calm. TrueMed. Turing. Crusoe Cyan spent 4 years at Founders Fund, now Co-Founder & General Partner, @LongJourneyVC Plus Founders Fund's Mafia, beating Phil Hellmuth in poker live, & free speech as her number one cause. We cover › The space between your values & your actions › Human beings as why machines › Why Marc Andreessen is wrong about introspection › Peter Thiel University › Nanotech & biotech 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Cyan Banister, Long Journey Ventures (01:13) Inside Long Journey HQ (02:17) The wild story behind the office mural (05:32) What Cyan's actual house looks like (07:18) The candle ritual (08:08) What the Long Journey logo actually means (10:41) Mafia's breakout stars (14:45) Cyan's strategy (16:30) What really happens off-camera at Mafia (18:58) The blooper reel nobody's seen yet (23:54) Brian Singerman x $40 /mo board game club (29:10) Confessions of an accidental poker legend (33:37) What relentless optimism reveals about people (35:42) Why so many people are scared to be weird (37:32) The daily ritual she prescribes to everyone (43:56) The "why" behind her biggest investments (50:49) Why sci-fi movies keep predicting the future (53:37) Should you even go to college right now? (59:58) Unconventional investing philosophy (1:01:57) Full list of Cyan's investments (1:04:28) All-in on SpaceX (1:08:57) Why she never sold a single SpaceX share (1:12:53) Top Bets: Becoming Bio + Substrate (1:15:52) America's reindustrialization moment is now (1:19:16) Cyan's mentors (1:22:54) Manifesting Rick Rubin (1:24:00) Real take on the Peter Thiel events

    742765631601K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#sftechweek

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 182 interactions against 378K followers, an engagement rate of 0.049%. Measured over 8 original posts, its engagement rate beats 59% of 20,444 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 13K times each, and 1.41% of those impressions turn into an interaction. That is about 3.42% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 04:00 UTC, and Monday is the busiest day of the week. Of the 8 posts sampled, 100% carry an image or video and 13% link out. The account's strongest tracked post pulled 22K interactions, about 120x its own typical post.

What is Shuo Wang's engagement rate on X?
Shuo Wang (@shuooo) has an engagement rate of 0.049%, based on the median interactions across 8 original posts from the last 30 days against 377,792 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.049%, Shuo Wang sits above the 25th percentile of the 204,956 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @shuooo have real engagement?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @shuooo post?
Most posts go out around 04:00 UTC, and Monday is its busiest day, at roughly 0.63 posts per day across the measured window.

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