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Curve Finance engagement report

@CurveFinance - 380K followers on X

Measured over 10 original posts from a 30-day window, last computed on September 30, 2026.

Engagement

Middle of its size range
Per follower
0.051%
of 380K followers
Per impression
1.26%
15K views on a typical post
Reach
4.06%
of its followers see a post
Typical post
196
interactions (median)
Saved
0.042%
6 bookmarks on a typical post
Posting rate
0.77/day
active 43% of days
Peak time
14:00 UTC
Thursday

A typical post picks up 196 interactions against 380K followers, an engagement rate of 0.051%. Measured over 10 original posts, its engagement rate beats 60% 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 15K times each, and 1.26% of those impressions turn into an interaction. That is about 4.07% 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 43% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 60% carry an image or video and 60% link out. The account's strongest tracked post pulled 435 interactions, about 2.2x its own typical post.

Measured over 10 original posts from a 30-day window, last computed on September 30, 2026.

Compared with accounts its own size

Curve Finance's engagement rate beats 60% 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 54% 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 0.051%, Curve Finance 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 14:00 UTC, and Thursday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video60% of posts+111%+108% to +115%34K
Outbound link60% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 60% 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.
  • 60% 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 269 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

  • Aug 13, 20262.2x their median

    Emissions are now below 100M CRV per year. Happy 6th birthday CRV! https://t.co/EdOWC66RNK https://t.co/Pwm8N99pkI

    3654522332K viewsView on X
  • Sep 17, 20262.0x their median

    Some interesting stablecoin markets this week. @ResupplyFi reUSD / @InverseFinance sDOLA is around 9.9%, while the top USD pools are reaching 15%+. Also some decent ETH and Llamalend yields in the mix. 👀 https://t.co/Y3PJtNe7wL

    3621421216K viewsView on X
  • Sep 17, 20261.7x their median

    Curve is live on @arc, @circle's new network built for stablecoins. Bringing a stablecoin to Arc? We can help you launch a pool, including FX markets, with simulations and parameter tuning ahead of deployment https://t.co/6aC3nmtRsq https://t.co/wQNdY4ji2L

    2893613322K viewsView on X
  • Jul 31, 20261.5x their median

    Good yield? https://t.co/OzEDfiRL30 https://t.co/RjylClTTVT

    274716416K viewsView on X
  • Sep 7, 2026

    Busy August ethereum:0xf939e0a03fb07f59a73314e73794be0e57ac1b4e minting nearly doubled, the peg stayed within 6.1 bps, and LlamaLend V2 borrowing rose 45%. @ResupplyFi got more $sreUSD capacity, @twinfinance_ launched FX markets in collaboration with @DAMM_Capita, and yRisk was selected as DAO risk provider. Monthly recap ↓ https://t.co/n3a93uuZu2

    249317677K viewsView on X
  • Sep 24, 2026

    Some good yield numbers again this week. 🕶️ https://t.co/shln2qMz6N

    2621017315K viewsView on X
  • Sep 10, 2026

    This little (just 1M) pool (USDe/USDT) is number 1 today by trading volume and by utilization. It received a bit more CRV incentives than usually, got more liquidity, and now attracts more trades than before. Wonders of contunuous concentrated liquidity and dynamic fees https://t.co/eRT5sJdvAS

    1862217014K viewsView on X
  • Jul 29, 2026

    trUSD and strUSD both trade on @CurveFinance. There are two ways to use it. The first is swapping. You buy trUSD with USDC in one pool and move between strUSD and trUSD in the other, which lets you enter and exit a yield position at market price rather than waiting out the 7-day cooldown. The second is providing liquidity. You supply either side of a pool, or both, and receive LP shares representing your portion of it. From there you earn a share of the fees on every swap routed through, plus the yield accruing to the pool. Currently 4.74% on strUSD/trUSD. Then there are Cores. Supplying strUSD/trUSD earns 15x, against 5x for holding strUSD on its own. A balanced position puts half your capital into trUSD, which does not accrue the strategy yield that strUSD does. So a pool pays a lower rate than holding strUSD, and the trade is some yield for more Cores. Curve incentives are on the way, with gauge weight voted in for the next epoch. And as of today both pools are live on @ConvexFinance, where you can stake your LP shares for rewards on top. Links below.

    1432220986K viewsView on X
  • Aug 11, 2026

    Curve needs a new risk provider. It's crucially important for how fast and safe Curve lending and crvUSD can grow. Please come and vote here https://t.co/Ketb5Qt8j3 - one vote per provider is made https://t.co/JpSz2dKBoF

    1452121543K viewsView on X
  • Jul 30, 2026

    It's Thursday again, and here are some yields https://t.co/uthovWLkK6 https://t.co/grjH4nr3in

    1669719.2K 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.

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Reading these numbers

A typical post picks up 196 interactions against 380K followers, an engagement rate of 0.051%. Measured over 10 original posts, its engagement rate beats 60% 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 15K times each, and 1.26% of those impressions turn into an interaction. That is about 4.07% 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 43% of days saw any activity at all. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 10 posts sampled, 60% carry an image or video and 60% link out. The account's strongest tracked post pulled 435 interactions, about 2.2x its own typical post.

What is Curve Finance's engagement rate on X?
Curve Finance (@CurveFinance) has an engagement rate of 0.051%, based on the median interactions across 10 original posts from the last 30 days against 379,985 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.051%, Curve Finance 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 @CurveFinance have real engagement?
Its engagement rate beats 60% 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 @CurveFinance post?
Most posts go out around 14:00 UTC, and Thursday is its busiest day, at roughly 0.77 posts per day across the measured window.

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