Back to @RoanRafi's profile

RaFi engagement report

@RoanRafi - 158K followers on X

Measured over 56 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 158K followers
Per impression
0.082%
1.2K views on a typical post
Reach
0.76%
of its followers see a post
Typical post
1
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.03/day
active 30% of days
Peak time
19:00 UTC
Monday

A typical post picks up 1 interaction against 158K followers, an engagement rate of 0.001%. Measured over 56 original posts, its engagement rate beats 2% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.2K times each, and 0.082% of those impressions turn into an interaction. That is about 0.769% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 56 posts sampled, 34% carry an image or video and 16% link out. The account's strongest tracked post pulled 3.0K interactions, about 2954x its own typical post. Recurring topics include #base, #jump.

Measured over 56 original posts from a 30-day window, last computed on September 22, 2026. Recurring tags: #base, #jump.

Compared with accounts its own size

RaFi's engagement rate beats 2% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 5% 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 0.001%, RaFi sits below the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,583 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 percentile0.677%
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 19:00 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: 19:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 19:00 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 video34% of posts+111%+108% to +115%34K
Outbound link16% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 34% 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.
  • 16% 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 540 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

  • Sep 21, 20262954x their median

    big week

    2.0K165503255342K viewsView on X
  • Sep 16, 2026625x their median

    India Sends 47 Lakh Litres Of Diesel To Bangladesh via Friendship Pipeline @MickyGupta84 reports https://t.co/I4grXBORu3 https://t.co/pB04XzzYCG

    3545413483406K viewsView on X
  • Sep 17, 202684x their median

    Traders didn’t sell $ARC because the tech failed. They sold because the livestream showed a face they didn’t expect. In crypto, that face instantly triggers an old fear: “Indian team = rug incoming.” It’s not analysis. It’s pattern recognition from 100 previous rugs. The fear isn’t just losing money. It’s being the last one holding the bag while everyone else already ran. One viral “I sold everything” tweet + thin liquidity + confirmation bias = instant dump. Doesn’t mean the project is dead. It means the market still prices ethnicity faster than it prices fundamentals. #Base #Jump #Arc

    50723445K viewsView on X
  • Sep 15, 202651x their median

    The Senate just killed the CLARITY Act on a 50-50 cloture vote. It needed 60. Years of lobbying, hundreds of millions spent, and the biggest U.S. crypto market-structure bill of this cycle is now stalled. Here’s what actually changes, and what doesn’t. 1. No permanent rulebook. The bill would have written CFTC vs SEC jurisdiction into law and given digital commodities a statutory home. That doesn’t happen. The industry stays under agency guidance that a future administration can rewrite with a memo. Durability just died. 2. The calendar slammed shut. The House already cancelled late-September weeks. The Senate heads into midterm campaign mode. The realistic next window is the next Congress, not this one. 2026 passage is effectively over. 3. Institutions stay in the gray zone. Banks, asset managers, and tokenizers keep building, but they keep navigating a fragmented, enforcement-heavy market. Stablecoin yield fights and bank-lobby resistance don’t vanish just because the vote failed. Capital still moves slower than it would have with a statute. 4. Markets already knew. Prediction markets had priced failure. That’s why the dump wasn’t a crash. It was the last bit of hope getting squeezed out. BTC slipped toward the mid-$70Ks. The obvious short was already crowded. 5. Regulators, not Congress, now run the show. SEC and CFTC keep writing rules. Agency action becomes the only live path for token classification, custody, and DeFi guidance. Faster than legislation, and far easier to reverse. Bottom line: crypto doesn’t stop. It just stays American-legal on borrowed time. The industry wanted a law. It got another reminder that politics still outranks market structure. #Base #Jump

    32114444K viewsView on X
  • Sep 17, 202634x their median

    It's not racism and it has nothing to do with skin color or "dark faces." People react this way because of a long track record of Indian-led crypto projects that rugged investors multiple times, in public, with the same patterns. That history creates fear and pattern recognition. Anyone pretending this is just about appearance is either in denial or deliberately missing the point. Good Indian builders and honest teams exist and should be judged on their work. But dismissing every criticism as "racism" while ignoring the repeated scams only makes the trust problem worse. Judge the code, the team history, and the fundamentals not the passport or the face. That's the only way the market gets healthier. #BASE #JUMP #ARC

    19013217K viewsView on X
  • Sep 22, 202614x their median

    New Jumper checker just dropped. Paste any EVM or Solana wallet and it pulls: XP rank Pass level route activity chains, tools, volume No connect. https://t.co/fomELMDm6e Drop your XP below. #JUMP #BASE https://t.co/lHcfO8gUAw

    002126.1K viewsView on X
  • Sep 21, 202612x their median

    Jumper hype is loud. The data finally is too. Jumper XP is heating up and almost every “checker” I tried was the same thin page. Paste wallet. See a number. Leave. That is not research. So I built a full Jumper board here: https://t.co/IomkxoJrGr Paste any EVM or Solana address. No connect. No signature. No spend. You get a live result card: • XP • rank • Pass level • tier • pool share • projected JUMP • USD estimate you can stress test Then you can actually model the drop instead of guessing. Change supply, FDV, and airdrop share. Flip eligibility to All, Min XP, Top N, or Pass level. The pool updates instantly. That part alone is useful. The part most tools skip is the one that matters: Jumper Route Intelligence. Same wallet, full movement map: • lifetime integrator volume • swap vs bridge split • avg transfer size • route fees • this month vs last month • chains used • tokens sent • dapps and tools that actually routed the flow So you are not just asking “how much XP do I have?” You can see how that wallet earned it. Current board context on the page: ~2.77M wallets with XP hundreds of millions of eligible XP snapshot dated 11 Sep 2026 Important: No Jumper token is announced. No allocation is official. These are scenario estimates, not a claim screen. If you have been bridging and swapping through Jumper, check the wallet before the timeline gets noisier. Drop your XP and rank in the replies. Then check the person you farm with. The gap is usually ugly. https://t.co/IomkxoJrGr #Jumper #JumperXP #Airdrop #BASE #Crypto

    80313.2K viewsView on X
  • Sep 18, 202612x their median

    $WALLET just taught the market a $78M lesson. $87M → $9M. One candle. No exploit. No mint. No liquidity pull. The real reason: People bought a name, not a product. $WALLET launched on Robinhood Chain as “Robinhood Wallet.” The narrative spread that this was official, insider, the next BNB-style bag. That story became the entire bid. Then the official app made it clear: Robinhood did not create it. Robinhood does not endorse it. Robinhood is not behind it. The thesis snapped. 799 wallets sold ~24% of supply in about 75 minutes. Thin pool. 1% fee. No bid wall. Price did what narrative coins always do when the story dies. This was not “dev rugged the contract.” This was a narrative collapse into empty liquidity. Same pattern every cycle: 1. Ticker matches a famous brand 2. Timeline fills with “this has to be official” 3. Size jumps in late 4. One disclaimer hits 5. The chart does the rest If you are still hunting brand-name memes, keep the base case simple: No official contract = no official token. A warning label can wipe more value than a hack. Don’t jump into a ticker just because it looks like the product. Name is marketing. Affiliation is proof. NFA. DYOR.

    614122K viewsView on X
  • Sep 21, 202610x their median

    While farming the Jumper Exchange Airdrop, I wasn’t farming just Jumper. 👀 I was also actively using several other ecosystems and bridges, including Base Network, Eco Bridge, GasZip, and Relay. The interesting part? None of these projects have launched their tokens yet. 👀 So my Jumper journey has actually been a combination of multiple airdrop farms, with Jumper Exchange being one of my main focuses. Now I’m curious to see whether all that activity will pay off. 🪂🔥 Check Your Jumper Exchange Airdrop activity: https://t.co/IomkxoJrGr Which of these airdrops are you farming? #BASE #JUMP

    70212.8K viewsView on X
  • Sep 19, 202610x their median

    Base is no longer just another Ethereum L2. It is turning into the cheapest, fastest rail for real money. Tokenized stocks are live. Stablecoins are settling at global scale. AI agents are already paying, trading, and moving value onchain. Block times just dropped to 200 milliseconds. That is not a crypto experiment anymore. That is a new financial stack. While most chains still fight for the next meme rotation, Base is absorbing actual markets. Equities. Payments. Lending. FX. Onchain volume that used to live only inside banks and brokers. The unfair advantage is simple. Coinbase already has the users. Base already has the speed. Ethereum still has the security. Put those three together and you get something most chains cannot copy. Cheap enough for everyday payments. Fast enough for trading. Open enough for builders. Trusted enough for institutions. If the next decade of finance happens onchain, it will not start on some random chain with a loud token. It will start where the users already are and the fees already make sense. Base is that place. Most people will notice after the move is already obvious. Bookmark this. The chain for every asset is being built in public. #Base #Onchain #JUMP

    603119K 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.

Recurring topics

#base#jump

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.

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 1 interaction against 158K followers, an engagement rate of 0.001%. Measured over 56 original posts, its engagement rate beats 2% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 1.2K times each, and 0.082% of those impressions turn into an interaction. That is about 0.769% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 19:00 UTC, and Monday is the busiest day of the week. Of the 56 posts sampled, 34% carry an image or video and 16% link out. The account's strongest tracked post pulled 3.0K interactions, about 2954x its own typical post. Recurring topics include #base, #jump.

What is RaFi's engagement rate on X?
RaFi (@RoanRafi) has an engagement rate of 0.001%, based on the median interactions across 56 original posts from the last 30 days against 158,303 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, RaFi sits below the 10th percentile of the 204,583 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 @RoanRafi have real engagement?
Its engagement rate beats 2% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size 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 @RoanRafi post?
Most posts go out around 19:00 UTC, and Monday is its busiest day, at roughly 2.03 posts per day across the measured window.

Keep going