Matt Huang engagement report
@matthuang - 247K followers on X
Measured over 4 original posts from a 30-day window, last computed on September 26, 2026.
Engagement
Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 296 interactions against 247K followers, an engagement rate of 0.12%. Posts are seen about 36K times each, and 0.82% of those impressions turn into an interaction. That is about 14.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.87 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video and 25% link out. The account's strongest tracked post pulled 4.3K interactions, about 16x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 4 original posts from a 30-day window, last computed on September 26, 2026.
Where this sits in the catalog
At 0.12%, Matt Huang sits above the 25th percentile of the 212,925 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.146%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 83.0% |
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 14:00 UTC, and Tuesday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 50% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 25% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 50% 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.
- 25% 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 203 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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 7, 202616x 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.
- Jun 19, 20262.9x their median
The @Tempo mainnet launched 93 days ago. Quick summary of the current state: • Run rate payment volume is around $3 billion. There's a long way to go, but it's cool to see real usage already emerging. (It took Stripe a lot longer than 93 days to get to $3 billion.) • As a blockchain, we obviously don't know about all the different use-cases. (Please tell us if you're doing something cool with Tempo!) Larger companies using Tempo include @Deel, which is using Tempo to pay out to their vast network of contractors, and @Meta, which is using it via @Link for global payouts. There are a bunch of other large companies working on Tempo integrations that'll be announced soon. • Internally, developing on Tempo has been fun, and Tempo is now Stripe's default blockchain for new features. • On the AI side of things, there appear to be around 1,000 active services selling to agents via the Machine Payments Protocol (@mpp). There's a useful directory of available services at https://t.co/fAZ5iA5nZc. 570 unique agents, for example, seem to have purchased from @ExaAILabs, and 332 from @openweather. I don't know how long it'll take for this use-case to become big, but it seems all-but inevitable that it will within a few years. • Today, @Stripe, @Visa, and @StanChart are running Tempo validators. Validation will become more decentralized over time. • The Tempo team is building a lot of new protocol functionality. For example, privacy zones, receive policies, and virtual addresses. (Details for all on the Tempo blog: https://t.co/jE7ltNIaj2.) In general, our belief is that there's a lot of functionality to be built at the blockchain level to make higher-level applications easy and performant. The original thesis behind Tempo was that both AI and stablecoins would stretch blockchains in new ways, with need for privacy, fees denominated/payable in stablecoins, batch transactions, microtransactions, faster confirmations, and so forth. Overall, this still seems like the right set of bets, and the agentic stuff is happening somewhat faster than I was expecting. "1M stablecoin TPS, with the vast majority from agents" still seems like the right north star.
- Sep 22, 20261.8x their median
Is Nat Friedman the 🐐 product leader? Launched AI coding with Github Copilot in <check notes> 2021/2022 Now mainstreaming AI assistants with Muse
- Jun 3, 20261.7x their median
For the first time, contractors can get paid, hold, earn and spend, all inside the same app 💸 Introducing the Deel stablecoin wallet: hold earnings in DLUSD, earn rewards, spend anywhere, with no crypto exchange, separate accounts, or lost value in transit. Launching in Latin America today, with APAC, MENA, and Africa to follow. Coming soon for employees! 👀 Thanks to our partners at @Stablecoin, @privy_io, @tempo, @Morpho, and @Sentora for making this possible. Read more in the comments 👇
- Jul 15, 2026
Excited to announce that @katiebiber is now the COO of Paradigm, alongside her role as CLO. Katie is a maestro on the many legal-policy matters at the frontier of tech and a force-of-nature operator. @alanapalmedo and I are lucky to have her partnership in running Paradigm!
- Aug 11, 2026
understanding progress on RSI is one of the most important things we can do to chart the future. @danrobinson and I made a game and explorer based on economic models of AI research, to make the inputs and constraints that define RSI more intuitive. https://t.co/w8qfDhnhqx
- Aug 12, 2026
I’m excited to announce that I’m joining @Paradigm as an Investment and Research Partner. The half-life of our priors is shrinking. Multiple technological frontiers are advancing at once. AI is an undercurrent across many of them, changing what is technically and economically viable. As these frontiers interact, historical analogs become less useful as the range of plausible futures widens dramatically. Investing in this regime requires first-principles technical judgment - and the willingness to believe in futures that look nothing like the present. Paradigm pioneered this approach in crypto, a frontier where technical depth was essential and investing with conviction required imagining a system unlike anything that came before. I’m incredibly excited to work with @matthuang, @alanapalmedo, and the rest of the team to extend that approach across the broader technological frontier. https://t.co/gjbOcL057a
- Sep 7, 2026
1/ We’re excited to unveil the second of 8 dedicated hackathon tracks for Crypto World’s Fair. The Tempo track, supported by @Tempo, will award $100,000 across the top 10 startups integrating with the Tempo blockchain. Join and compete: https://t.co/pm2437ccDm https://t.co/ZBGHrSPRzw
- Aug 5, 2026
Guess the year… > LOOK AROUND AT THE FAMILIAR WORLD YOU KNOW—THEN PREPARE YOURSELF FOR CHANGES - the extinction of the auto - the end of politics - limitless natural wealth - mining the planets - exploration of the stars - total weather control - instant global transportation - automobile learning - time travel - anti-gravity machines
- Sep 8, 2026
AI-soluble domains (cyber, math) now seem to be a dark forest where humming datacenters redeploy 10K agent swarms of compute toward the most worthy problems. Just knowing that a vulnerability exists or a math problem may be solvable is sufficient to attract such a swarm.
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 296 interactions against 247K followers, an engagement rate of 0.12%. Posts are seen about 36K times each, and 0.82% of those impressions turn into an interaction. That is about 14.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.87 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 14:00 UTC, and Tuesday is the busiest day of the week. Of the 4 posts sampled, 50% carry an image or video and 25% link out. The account's strongest tracked post pulled 4.3K interactions, about 16x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Matt Huang's engagement rate on X?
- Matt Huang (@matthuang) has an engagement rate of 0.12%, based on the median interactions across 4 original posts from the last 30 days against 247,223 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.12%, Matt Huang sits above the 25th percentile of the 212,925 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 @matthuang have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @matthuang post?
- Most posts go out around 14:00 UTC, and Tuesday is its busiest day, at roughly 0.87 posts per day across the measured window.