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Bitfinity Network engagement report

@bitfinitynet - 200K followers on X

Measured over 6 original posts from a 30-day window, last computed on October 7, 2026.

Engagement

Per follower
0.006%
of 200K followers
Per impression
0.408%
3.1K views on a typical post
Reach
1.51%
of its followers see a post
Typical post
12
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.2/day
active 20% of days
Peak time
03:00 UTC
Monday

Early reading. We have captured 6 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 12 interactions against 200K followers, an engagement rate of 0.006%. Posts are seen about 3.1K times each, and 0.408% of those impressions turn into an interaction. That is about 1.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 50% carry an image or video and 33% link out. The account's strongest tracked post pulled 418 interactions, about 35x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on October 7, 2026.

Where this sits in the catalog

At 0.006%, Bitfinity Network sits above the 10th percentile of the 212,567 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.696%
p902.61%
p9982.7%
Engagement rate as a share of followers, across the 212,567 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,364 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 percentile0.025%
50th percentile0.146%
75th percentile0.696%
90th percentile2.61%
99th percentile82.7%

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 03:00 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.

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: 03:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 03:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video50% of posts+111%+108% to +115%34K
Outbound link33% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 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.
  • 33% 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 317 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

  • Feb 21, 202535x their median

    By major technical standards, Bitfinity is ahead of many Bitcoin L2s.⚡ Check out the benchmark here👇

    2857952255K viewsView on X
  • Sep 7, 20261.7x their median

    Bitcoin mining payouts may be getting a privacy upgrade. A new proposal explores using Silent Payments for miner payouts directly through Bitcoin’s coinbase transaction. Instead of giving a mining pool an xpub to generate fresh payout addresses, miners could provide a reusable Silent Payment address through Stratum V2. The interesting part? Each payout can still be discovered by the intended miner without publicly reusing the same payout address. It’s still an early proposal, but it shows how Bitcoin’s existing primitives can be combined in surprisingly new ways.

    153203.8K viewsView on X
  • Aug 7, 20261.7x their median

    Bitcoin Layer 2s solve execution. But what happens to the computation they move off chain? We explore why scaling isn't just a software problem and why the future may depend on efficient, verifiable hardware. https://t.co/837z9PJBMU

    163104.1K viewsView on X
  • Jun 22, 20261.7x their median

    Every year, millions of dollars are lost because people approve transactions they do not actually understand. For too long, blockchain users have been asked to authorize complex smart contract actions hidden behind unreadable strings of code, effectively signing without knowing the true intent of a transaction. 🌐 📣 That is where ERC-7730 changes the game. The standard introduces clear signing, allowing wallets to translate transaction data into plain, human readable language before approval. It shifts the security model from trusting an interface to verifying intent. While this improves transparency and reduces phishing risks, it is not a complete security solution. A readable transaction can still be malicious. ERC-7730 is a major step toward safer blockchain interactions. We will be sharing a detailed blog soon, exploring how it works, its limitations, and what it means for the future of wallet security. 🔗

    142312.8K viewsView on X
  • Jul 25, 20261.6x their median

    Privacy on Ethereum has long involved a trade off. Creating a fresh address is simple, but spending from it usually requires ETH for gas, often creating a link back to your identity. 📣 Native UTXOs, combined with Frame Transactions, could change that by allowing users to receive and spend assets while paying execution costs directly from the UTXO itself. The result? 🫳 A simpler user experience, stronger privacy, and one more example of how evolving blockchain architecture can solve long standing design challenges without compromising usability.

    132224.5K viewsView on X
  • Apr 28, 20261.7x their median

    How some Bitcoiners feel when they worry quantum computing might break Bitcoin anytime. https://t.co/qWUQQrV2G4

    144101.3K viewsView on X
  • Jul 28, 20261.5x their median

    The strongest cryptographic designs aren't always built on one algorithm, they are built on the right combination. https://t.co/WmwugmHyCi

    134103.0K viewsView on X
  • Sep 2, 2026

    Ethereum is trying to make execution more parallel. Today, clients often discover which accounts and storage slots a block touches while executing it. EIP-7928 introduces Block Level Access Lists, giving clients that dependency map upfront. ✅ That can enable parallel disk reads, transaction execution and state root computation, while also supporting state reconstruction without replaying every transaction. It’s one of the key scaling changes being tested for Glamsterdam, currently targeted for Q4 2026.

    123203.3K viewsView on X
  • Aug 4, 2026

    If Bitcoin L2s Win, Does Bitcoin Still Need Hardware Acceleration? Bitcoin scaling is increasingly moving toward a simple model: keep Layer 1 focused on settlement, move execution elsewhere. 🗣️ But that doesn't make computation disappear. It relocates it. As L2s handle more transactions, signatures, proofs, and state transitions, their computational workload grows. Meanwhile, every settlement pushed back to Bitcoin can represent thousands of off chain actions, making efficient verification even more important. ✅ That's where hardware acceleration becomes interesting. Not to make Bitcoin produce blocks faster. Consensus rules still define that. Instead, specialized hardware could reduce the cost of cryptographic operations, threshold signing, proof generation, and verification as L2 workloads scale. 🌐 📣 We've seen this pattern before: Bitcoin mining moved from CPUs → GPUs → FPGAs → ASICs because specialized computation eventually beats general-purpose execution at scale. L2 infrastructure may follow a different—but familiar—curve. Scaling execution with software might only be the beginning.

    132204.3K viewsView on X
  • Sep 26, 2026

    Ethereum is changing how blocks travel across the network. Large execution payloads are becoming a networking problem: with whole message propagation, a node must receive the entire payload before it can start forwarding it. EIP 8411 explores splitting payloads into independently verifiable chunks. Nodes can forward each chunk as it arrives instead of waiting for the complete payload. New simulations and a Linux network test showed the segmented approach consistently propagated faster in the tested setups. The bigger idea: scaling execution also means scaling block propagation.

    142003.3K 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 12 interactions against 200K followers, an engagement rate of 0.006%. Posts are seen about 3.1K times each, and 0.408% of those impressions turn into an interaction. That is about 1.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.2 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 6 posts sampled, 50% carry an image or video and 33% link out. The account's strongest tracked post pulled 418 interactions, about 35x its own typical post. Only 6 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 Bitfinity Network's engagement rate on X?
Bitfinity Network (@bitfinitynet) has an engagement rate of 0.006%, based on the median interactions across 6 original posts from the last 30 days against 199,993 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Bitfinity Network sits above the 10th percentile of the 212,567 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 @bitfinitynet have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @bitfinitynet post?
Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 0.2 posts per day across the measured window.

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