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DIA Oracles engagement report

@DIAdata_org - 78K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 8, 2026.

Engagement

Per follower
0.08%
of 78K followers
Per impression
1.43%
4.3K views on a typical post
Reach
5.57%
of its followers see a post
Typical post
62
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.7/day
active 33% of days
Peak time
13:00 UTC
Thursday

Early reading. We have captured 7 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 62 interactions against 78K followers, an engagement rate of 0.08%. Posts are seen about 4.3K times each, and 1.43% of those impressions turn into an interaction. That is about 5.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video, 57% are part of a thread and 29% link out. The account's strongest tracked post pulled 358 interactions, about 5.8x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 8, 2026.

Where this sits in the catalog

At 0.08%, DIA Oracles sits above the 25th percentile of the 66,536 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile119.7%

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video71% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 71% 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.
  • 29% 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 231 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

  • Mar 10, 20265.8x their median

    https://t.co/AkXqpCULWY

    258601822152K viewsView on X
  • Mar 10, 20264.7x their median

    Market oracles price what trades. Institutional DeFi doesn’t. The value of tokenized treasuries, fund NAVs, and yield tokens lies in smart contracts and reserves, not thin order books. Introducing DIA Value: Intrinsic valuation oracle for institutional DeFi. https://t.co/Ff4E9xnZWA

    18675161569K viewsView on X
  • Mar 26, 20263.6x their median

    DIA now sources market data from @OndoFinance Global Markets. 200+ tokenized U.S. stocks and ETFs. $500M+ TVL. The largest tokenized equities platform by market share. Protocols can now access verifiable pricing for Ondo GM tokens through DIA oracle feeds. https://t.co/jGIHl0wbLa

    1514419710K viewsView on X
  • Mar 11, 20263.4x their median

    Partnership with @HermeticaFi DIA and Hermetica bring reserve-backed fair value pricing to $USDh on @Stacks. DIA's fundamental valuation oracle computes USDh's value directly from Bitcoin and stablecoin reserves, replacing market-based pricing with verifiable backing data. 🧵 https://t.co/gN1M9BLhtI

    152459412K viewsView on X
  • Aug 12, 20262.0x their median

    Folks Finance 🤝 @DIAdata_org DIA’s price feeds are now integrated into Folks, further strengthening the oracle infrastructure powering xChain lending markets. https://t.co/9Ve0wJ7nyH

    781918913K viewsView on X
  • Jul 22, 20262.0x their median

    Today, we are excited to launch DIA ZK, the verifiable data assurance layer for DeFi, RWAs, and cross-chain applications. Yield-bearing stablecoins, tokenized treasuries, and vaults built on offchain strategies now hold tens of billions in onchain value. The highest yields among them are earned offchain: basis trades on centralized exchanges, tokenized treasuries, private credit, CeFi lending. While the token lives onchain, the strategy that pays it does not. That creates a problem for issuers. Holders, risk curators sizing allocations, and lending markets deciding whether to list a token cannot see the custody balances, exchange positions, or loan books behind the yield. They ask for proof, and an issuer-controlled dashboard or a monthly attestation is becoming less convincing as the basis for trust. In June this year, a yield-bearing stablecoin lost its peg after the third-party service that verified its reserves ended its relationship. A lending market built around the token was left with roughly $18 million of affected collateral, and a separate vault with no direct exposure to the stablecoin was hit too because both relied on the same verifier. DIA ZK addresses this. It proves that a reported value came from the stated source and was not altered on its way onchain. It proves the statement rather than the value: a condition such as reserves exceeding supply, without revealing the underlying figures. The proofs are posted and verified on DIA's oracle chain, rather than relying on a feed that a single verification provider can switch off. Reserve disclosure requirements under MiCA already apply in the EU, and the US GENIUS Act will introduce federal reserve and disclosure requirements for qualifying stablecoin issuers. Continuously proving backing onchain, without forcing an issuer to reveal its underlying books, is the next capability the oracle layer has to provide. If your protocol depends on stablecoin reserves, tokenized fund NAVs, or vault collateral held offchain, this is where to start.

    6832121014K viewsView on X
  • Jun 29, 2026

    A zero-fee L2 built for DeFi and RWAs can't list a single lending market until something prices the collateral. DIA now runs that pricing layer on @TeQoin. The full stack is deployed: price feeds, DIA Value for RWAs, Proof of Reserve, verifiable randomness. https://t.co/vNiDvNot7h

    5816847.1K viewsView on X
  • Jul 17, 2026

    A lending market is only as safe as the price it opens a loan against. Based Loans @monstrodefi just integrated DIA price feeds on Base, sourcing collateral prices straight from where each asset trades. https://t.co/sqCAXbaoti

    5220603.3K viewsView on X
  • Jul 24, 2026

    ST0x RWA Summer starts now Tokenising stocks was the easy part. Making them liquid onchain is the real work That work is the season: ST0x and the teams building onchain, pushing equities into DeFi and deepening the markets under them Every week: • New assets listed, picked by you • Liquidity deepening across venues • Partners across DeFi integrating • Incentive campaigns on top Week one is already live SK Hynix: ~4,000% APY to LPs, TVL up 5x in days Every week the liquidity gets deeper. That's the metric that matters Making public markets actually public Come get stuck into RWA Summer

    441312414K viewsView on X
  • Jul 1, 2026

    For yield-bearing stablecoins, value is defined by the underlying protocol mechanics rather than by secondary market activity. Pricing needs to reflect that. @RiverdotInc team on integrating DIA Value for satUSD+ across their omnichain stablecoin system: https://t.co/FuhQljDM6u

    5312702.7K 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 62 interactions against 78K followers, an engagement rate of 0.08%. Posts are seen about 4.3K times each, and 1.43% of those impressions turn into an interaction. That is about 5.58% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.7 post a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video, 57% are part of a thread and 29% link out. The account's strongest tracked post pulled 358 interactions, about 5.8x its own typical post. Only 7 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 DIA Oracles's engagement rate on X?
DIA Oracles (@DIAdata_org) has an engagement rate of 0.08%, based on the median interactions across 7 original posts from the last 30 days against 77,622 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.08%, DIA Oracles sits above the 25th percentile of the 66,536 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 @DIAdata_org have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @DIAdata_org post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 0.7 posts per day across the measured window.

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