Andre Cronje engagement report
@AndreCronjeTech - 430K followers on X
Measured over 14 original posts from a 30-day window, last computed on September 24, 2026.
Engagement
A typical post picks up 79 interactions against 430K followers, an engagement rate of 0.018%. Measured over 14 original posts, its engagement rate beats 43% 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 18K times each, and 0.437% of those impressions turn into an interaction. That is about 4.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 36% carry an image or video and 36% link out. The account's strongest tracked post pulled 622 interactions, about 7.9x its own typical post.
Measured over 14 original posts from a 30-day window, last computed on September 24, 2026.
Compared with accounts its own size
Andre Cronje's engagement rate beats 43% 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 28% 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 0.018%, Andre Cronje sits above the 10th percentile of the 205,475 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 18:00 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.
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 | 36% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 36% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 36% 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.
- 36% 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 482 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
- Aug 7, 20267.9x their median
Over the last few years I’ve worked on automated strategy vaults, fair-launch governance, onchain keepers, ve(3,3), and high-performance public-chain infrastructure. The next step is Flying Tulip: a unified onchain financial system for collateral, credit, settlement, risk, spot, lending, perps, insurance, and ftUSD. DeFi’s next cycle is not about more fragmented apps. It is about better market structure.
- Sep 2, 20267.1x their median
In 2022 there was a recurring problem: bootstrapping a new blockchain's liquidity was horrible. It was almost impossible to get Uniswap or Curve to deploy, so the idea was simple: create a tiny, open-source, no-attribution scaffold that anyone could fork and deploy, even without technical ability. Three contracts. Uniswap-style volatile liquidity. Curve-style stable liquidity. And a built-in ve flywheel to bootstrap and direct incentives. So I created ve(3,3). Since then, that design and its descendants have grown into: • 163 unique app deployments • 44 blockchains • $748.8B in cumulative volume • ~$16.0B in token(s) value Although, to be fair, the data is heavily skewed: Aerodrome alone accounts for ~$424.2B of that volume, and Aerodrome today has evolved far beyond that original simple system. What I find more interesting is how portable the idea became. Robinhood Chain alone already has 18 different implementations/versions of the model. The goal was never to build one DEX for every chain. It was to make the basic liquidity and incentive infrastructure simple enough that nobody had to wait for permission to have one.
- Aug 24, 20265.9x their median
RWAs are about to introduce a whole new demographic to IL.
- Aug 14, 20264.1x their median
One useful outcome of the onchain-finance discussion is that people are asking better questions. Not only “is it decentralized?” but: Who can upgrade? Who can pause? Where is collateral held? How are liquidations executed? Who bears losses? What is measurable onchain? Better questions produce better financial systems.
- Sep 23, 20263.8x their median
I first proposed fee abstraction for Fantom in 2019. Formalized it into a spec called fee subsidies in 2021. Cool to see if finally implemented as fee sponsorship in 2026 as part of the v2.2 release. Still some catches like revert drain spam that needs to be addressed, and I think I do have a better solution, but still very cool; From user/ux perspective, no native token required in wallet to transact. Bridge > engage. https://t.co/sqqxHf3BMZ
- Aug 13, 20263.1x their median
🎙️ "I don't think DeFi exists anymore outside of very small niches." @rkbaggs sat down with @AndreCronjeTech, founder of @flyingtulip_, to talk about the evolution of DeFi and how immutability has gone from a feature to a bug. #CHAINREACTION https://t.co/aga10hXurZ
- Aug 25, 20262.3x their median
Good consistent yield really is the best marketing strategy. https://t.co/vt5xkWzaCR
- Aug 17, 20262.2x their median
FT Lend over $15m ftUSD just under $5m Fees up. Revenue up. Buybacks over $1k/day. ftUSD earning 9.29% System AUM $70.91m Horizontal progress: 3 out of 16 products activated. Vertical progress: 2 out of 9 blockchains activated. Vertically and Horizontally scaling. https://t.co/M3CKwzBnhF
- Aug 26, 20262.1x their median
After many years, Anton (@AntonNellCrypto) finally discovered the camera. For those tired of hearing me talk about defi, onchain finance, FT and everything in between, here is another perspective. Anton has seen a lot of the industry from the builder side, long before Flying Tulip existed. https://t.co/GYe8SuzCvY
- Aug 26, 20262.0x their median
Deposits are an input. Credit activity and cash flow are the output. Flying Tulip as of August 26, using DefiLlama’s standardized methodology: • $12.12m TVL, up 19.1% over 30 days • $3.86m in active loans • $149k in 30-day fees • $143k in 30-day protocol revenue • 10.31% average tracked supply APY • 3 tracked products across 2 chains Active loans equal 31.8% of standardized TVL. The objective is not a collection of isolated pools. ftUSD provides liquidity and settlement. Lend converts collateral into credit and margin capacity. The execution and derivatives layers reuse the same balance sheet rather than fragmenting capital across separate applications. The system is beginning to show utilization, revenue and compounding. Not just farming. Data source: DefiLlama, August 26, 2026. FT dashboard and DefiLlama methodologies differ, so these figures intentionally use one consistent external methodology.
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 79 interactions against 430K followers, an engagement rate of 0.018%. Measured over 14 original posts, its engagement rate beats 43% 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 18K times each, and 0.437% of those impressions turn into an interaction. That is about 4.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.9 posts a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 18:00 UTC, and Monday is the busiest day of the week. Of the 14 posts sampled, 36% carry an image or video and 36% link out. The account's strongest tracked post pulled 622 interactions, about 7.9x its own typical post.
- What is Andre Cronje's engagement rate on X?
- Andre Cronje (@AndreCronjeTech) has an engagement rate of 0.018%, based on the median interactions across 14 original posts from the last 30 days against 430,252 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.018%, Andre Cronje sits above the 10th percentile of the 205,475 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 @AndreCronjeTech have real engagement?
- Its engagement rate beats 43% 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 @AndreCronjeTech post?
- Most posts go out around 18:00 UTC, and Monday is its busiest day, at roughly 2.87 posts per day across the measured window.