Paradigm engagement report
@paradigm - 1.7M followers on X
Measured over 8 original posts from a 30-day window, last computed on October 28, 2026.
Engagement
A typical post picks up 134 interactions against 1.7M followers, an engagement rate of 0.008%. Measured over 8 original posts, its engagement rate beats 30% of 21,185 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 42K times each, and 0.317% of those impressions turn into an interaction. That is about 2.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 13% carry an image or video and 88% link out. The account's strongest tracked post pulled 12K interactions, about 31x its own typical post.
Measured over 8 original posts from a 30-day window, last computed on October 28, 2026. Recurring tag: #firstblood.
Compared with accounts its own size
Paradigm's engagement rate beats 30% of the tracked X accounts closest to it in follower count (21,185 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 22% 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 0.008%, Paradigm sits above the 10th percentile of the 212,482 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.146% |
| 75th percentile | 0.696% |
| 90th percentile | 2.61% |
| 99th percentile | 82.9% |
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 16:00 UTC, and Wednesday 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 | 13% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 88% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 13% 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.
- 88% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 117 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- Sep 25, 202531x their median
Announcing Credit — an automated, undercollateralized lending system built on stablecoins. Live since December 2024, it has issued 175,000+ loans to 100,000+ unique borrowers worldwide We raised $6.6M led by Paradigm, with Nascent and strategic angels, to scale and expand Credit https://t.co/BJjxG2aa7P
- Feb 18, 202689x their median
Introducing EVMbench—a new benchmark that measures how well AI agents can detect, exploit, and patch high-severity smart contract vulnerabilities. https://t.co/op5zufgAGH
- May 9, 202663x their median
Hermes Agent is now #1 on the Global @OpenRouter token rankings. While our journey together has just begun, we'd like to take this opportunity to thank our contributors, supporters, and users for all they have done to get us this far. https://t.co/kA4hPJHKNM
- Jul 22, 202654x their median
I solved 6 open Erdős problems in 5 days, using @OpenAI GPT-5.6 Sol. I have a math background, but the Codex workflow I used does not require deep mathematical knowledge. Here’s exactly how I approached it, including my prompts 🧵
- Apr 13, 202654x their median
This is the story of Hyperliquid, the most profitable startup per employee on earth, told from a guarded office in Singapore. Last year, its team of 11 generated $900 million in profit. It's 3 years old, has never taken a dollar of venture capital, and is beginning to change how century-old markets work. Its founder, Jeffrey Yan (@chameleon_jeff), had never taken a physics class when he picked up a textbook at 16. Two years later, he won gold at the International Physics Olympiad. In 2019, he started trading with $10,000 from a living room in Puerto Rico—working off a television because he didn't own a monitor. Within 3 years, he was running one of the largest anonymous crypto trading firms. Then he shut it down. Yan was rich and free, but he had spent years inside crypto, watching it betray itself. Bitcoin's central premise was decentralization. Yet the biggest exchanges were centralized. Crypto kept reintroducing the dependence on trust it was built to eliminate. He set out to create what should have existed. Hyperliquid is a blockchain with a trading exchange on top, and anyone can build on it. Yan's vision is to house all of finance. In 3 years, it has done over $4 trillion in volume. And in the past few months, it has begun to outgrow crypto. Markets for oil, silver, and the S&P 500 now trade on Hyperliquid around the clock, weekends included, and are growing roughly 40% week on week. When the US and Israel bombed Iran on a Saturday in February, Hyperliquid was the venue traders turned to. Hyperliquid's success has cost Yan his freedom. He works out of a secret office in Singapore and cannot travel without two bodyguards. Even the team's housekeeper doesn't know what they do. In January, @domcooke spent a week at their office. Read his profile on Yan and @HyperliquidX below.
- Dec 9, 202517x their median
Tempo’s testnet is live! Any company can now build on a payments-first chain designed for instant settlement, predictable fees, and a stablecoin-native experience. Tempo has been shaped with a wide group of partners validating real workloads including @AnthropicAI, @Coupang, @DeutscheBank, @DoorDash, @Lead_Bank, @mercury, @nubank, @OpenAI, @Revolut, @Shopify, @StanChart, and @Visa. Since our announcement, @brexHQ, @Coastal, @crossriverbank, @deel, @faire_wholesale, @Figure, @GustoHQ , @Kalshi, @Klarna, @Mastercard, @Payoneer, @withpersona, @tryramp, and @UBS have also joined as design partners. Dedicated payment lanes, stablecoin gas, deterministic finality, a built-in stable asset DEX, and programmable smart accounts are all live on testnet. If you’re building or modernizing payment flows, you can start integrating and testing today.
- Dec 2, 202514x their median
Kalshi raised $1B at an $11B valuation. A decade ago, only a few thousand people knew what a prediction market was. Eighteen months ago, most prediction markets were banned - until we overcame the government to set them free. Over the past seven years, our community has opened up an entirely new category. Today, Kalshi is trusted, used, and loved by millions of people. It’s a part of everyday culture, and it’s driving one of the most important shifts in consumer behavior in recent history. The time has finally come for prediction markets to achieve their full potential and we are intent on making that happen. To all the believers and the early adopters: thank you.
- Feb 4, 202614x their median
new from paradigm: we are building a tool for exploring prediction market data try it out today. I bet you'll find new markets you never knew existed https://t.co/HtDBWtFoys
- Sep 4, 202571x their median
Introducing @tempo A payments-first blockchain incubated by Stripe and Paradigm
- Mar 18, 20269.2x their median
Tempo Mainnet is live! Starting today, anyone can build on Tempo through our public RPC endpoints. Alongside mainnet, we’re introducing the Machine Payments Protocol, an open standard for machine payments. https://t.co/Ax2qEIBcwp
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
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 134 interactions against 1.7M followers, an engagement rate of 0.008%. Measured over 8 original posts, its engagement rate beats 30% of 21,185 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 42K times each, and 0.317% of those impressions turn into an interaction. That is about 2.51% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.77 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 13% carry an image or video and 88% link out. The account's strongest tracked post pulled 12K interactions, about 31x its own typical post.
- What is Paradigm's engagement rate on X?
- Paradigm (@paradigm) has an engagement rate of 0.008%, based on the median interactions across 8 original posts from the last 30 days against 1,685,642 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.008%, Paradigm sits above the 10th percentile of the 212,482 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 @paradigm have real engagement?
- Its engagement rate beats 30% of the tracked X accounts closest to it in follower count (21,185 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 @paradigm post?
- Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 0.77 posts per day across the measured window.