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Miles Deutscher engagement report

@milesdeutscher - 678K followers on X

Measured over 55 original posts from a 30-day window, last computed on September 2, 2026.

Engagement

Middle of its size range
Per follower
0.04%
of 678K followers
Per impression
0.702%
39K views on a typical post
Reach
5.72%
of its followers see a post
Typical post
272
interactions (median)
Saved
0.227%
88 bookmarks on a typical post
Posting rate
3.27/day
active 40% of days
Peak time
15:00 UTC
Monday

A typical post picks up 272 interactions against 678K followers, an engagement rate of 0.04%. Measured over 55 original posts, its engagement rate beats 53% of 3,862 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 39K times each, and 0.702% of those impressions turn into an interaction. That is about 5.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 55 posts sampled, 51% carry an image or video, 13% are part of a thread and 18% link out. The account's strongest tracked post pulled 2.2K interactions, about 8.0x its own typical post.

Measured over 55 original posts from a 30-day window, last computed on September 2, 2026.

Compared with accounts its own size

Miles Deutscher's engagement rate beats 53% of the tracked X accounts closest to it in follower count (3,862 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 41% 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 0.04%, Miles Deutscher sits above the 25th percentile of the 37,582 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99158.1%
Engagement rate as a share of followers, across the 37,582 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 105,409 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 percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile158.1%

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 15:00 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 15:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%52K
01:00 UTC-2%53K
02:00 UTC-3%51K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%62K
09:00 UTC-3%72K
10:00 UTC-2%74K
11:00 UTC-3%81K
12:00 UTC-2%89K
13:00 UTC-2%98K
14:00 UTC-4%101K
15:00 UTC-2%104K
16:00 UTC-3%102K
17:00 UTC-3%94K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%68K
22:00 UTC-2%59K
23:00 UTC-2%53K
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 5%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%237K
Monday0%300K
Tuesday-3%299K
Wednesday-1%256K
Thursday-1%249K
Friday-3%258K
Saturday+3%232K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 19, 20268.0x their median

    This is actually insane. The website has HUNDREDS of FREE Grok Bots available for download. I went through the entire site and dug out the top 10 BEST Grok Bots you need to install now. 🧵: 10 Insanely powerful Grok Bots (install prompts included).👇 https://t.co/X2mEaMv7us

    1.8K26874221.0M viewsView on X
  • Aug 23, 20265.4x their median

    Btw eventually $BTC goes to 500k. Who cares about whether it's 40k, 50k, 70k, 80k. It's all child's play. Just stack and be smart about it.

    1.3K4189784K viewsView on X
  • Sep 1, 20265.1x their median

    I can't believe more people aren't deploying AI agents on Robinhood. It literally takes <5 minutes to set up, and it's like having a 24/7 trading desk in your pocket. If you trade crypto/stocks, save this. 🧵: Full setup guide (how to deploy agents on Robinhood).👇 https://t.co/OIUDILgom3

    1.2K150625159K viewsView on X
  • Aug 23, 20263.4x their median

    $BTC Keeping an eye on something like this over the coming weeks / months. Retest of the Weekly bands would provide a nice opportunity to bid with clear inval. For now rice is still in a range. But I am more optimistic after such a strong move above the weekly EMA's. https://t.co/0LUOQqYv2j

    83341524528K viewsView on X
  • Aug 23, 20262.9x their median

    you need to do everything humanly possible to acquire at least 1 $BTC with what's coming you're going to need a life raft

    6992174172K viewsView on X
  • Aug 22, 20262.9x their median

    This bull run is going to look nothing like the last one. Last cycle, nobody was able to leverage AI in their trading processes. The traders who have spent the last ~year learning AI are about to have a massive edge in the crypto markets. Think about what's actually changed since 2024: • You can now describe any strategy in plain English and have Claude turn it into backtested code in minutes • You can have hundreds of AI research agents scanning the markets 24/7 • You can build an AI trading bot in literally <30 minutes Not to mention all the research tools/custom screeners you can now vibe-code. The traders who win big in this bull run will all share one trait: being AI-native.

    6732881486K viewsView on X
  • Aug 25, 20262.7x their median

    If you have no clue how to implement AI in your trading, I highly recommend starting by connecting the TradingView MCP + Claude. Once it's connected (2 mins), Claude can actually read your charts and act on real market data. A few high-leverage ways to actually use it: • Have Claude subagents manage your watchlist (notify you when trade setups occur) • Build custom indicators based on your strategy (full Pine Script coding) • Scan the TV community posts (super underrated use case - lots of alpha/setups being shared here daily) For research, screening, etc., it's one of the easiest ways to start implementing AI in your daily trading.

    6265256172K viewsView on X
  • Aug 27, 20262.6x their median

    I built a trading bot with Claude that printed +$168,236. I have zero technical background, and I used Fable 5 to backtest and build the entire strategy. If you inject this prompt into Claude Code, your AI agents will help you build a profitable trading strategy from scratch: https://t.co/72nEK8JXcj

    4955614711124K viewsView on X
  • Aug 19, 20262.5x their median

    Imagine if Elon gave everyone a 7-day free trial for Grok Bot. No doubt it would become one of the most used AI software ever. Right now, the only bottleneck is pricing. Once you get people in, they'll be completely hooked. I don't know if it's possible, but just saying.

    532151161372K viewsView on X
  • Aug 26, 20261.9x their median

    I genuinely think the crypto traders who learn how to use Claude will print like crazy this cycle. In 2024, AI was practically unusable in financial markets. Now, anyone can literally launch dozens of agents that watch the market 24/7 (AND actually take action on their behalf). Going to get crazy.

    4291777274K 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 272 interactions against 678K followers, an engagement rate of 0.04%. Measured over 55 original posts, its engagement rate beats 53% of 3,862 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 39K times each, and 0.702% of those impressions turn into an interaction. That is about 5.72% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 15:00 UTC, and Monday is the busiest day of the week. Of the 55 posts sampled, 51% carry an image or video, 13% are part of a thread and 18% link out. The account's strongest tracked post pulled 2.2K interactions, about 8.0x its own typical post.

What is Miles Deutscher's engagement rate on X?
Miles Deutscher (@milesdeutscher) has an engagement rate of 0.04%, based on the median interactions across 55 original posts from the last 30 days against 677,548 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.04%, Miles Deutscher sits above the 25th percentile of the 37,582 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 @milesdeutscher have real engagement?
Its engagement rate beats 53% of the tracked X accounts closest to it in follower count (3,862 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 @milesdeutscher post?
Most posts go out around 15:00 UTC, and Monday is its busiest day, at roughly 3.27 posts per day across the measured window.

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