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Parker Conrad engagement report

@parkerconrad - 404K followers on X

Measured over 2 original posts from a 30-day window, last computed on August 31, 2026.

Engagement

Per follower
0.134%
of 404K followers
Per impression
0.516%
104K views on a typical post
Reach
25.9%
of its followers see a post
Typical post
540
interactions (median)
Saved
0.115%
120 bookmarks on a typical post
Posting rate
0.43/day
active 20% of days
Peak time
15:00 UTC
Tuesday

Early reading. We have captured 2 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 540 interactions against 404K followers, an engagement rate of 0.134%. Posts are seen about 104K times each, and 0.516% of those impressions turn into an interaction. That is about 25.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 47K interactions, about 87x its own typical post. Only 2 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 2 original posts from a 30-day window, last computed on August 31, 2026.

Where this sits in the catalog

At 0.134%, Parker Conrad sits above the 50th percentile of the 37,214 accounts in this comparison. That places it in the above the median band, which runs 0.081% to 0.436%.

p100.002%
p250.012%
p50 (median)0.081%
p750.436%
p902.10%
p99160.2%
Engagement rate as a share of followers, across the 37,214 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 106,785 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 percentile0.436%
90th percentile2.10%
99th percentile160.2%

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 Tuesday 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%51K
01:00 UTC-2%52K
02:00 UTC-3%51K
03:00 UTC-4%54K
04:00 UTC-6%44K
05:00 UTC-4%42K
06:00 UTC-4%49K
07:00 UTC-5%53K
08:00 UTC-4%61K
09:00 UTC-3%71K
10:00 UTC-2%73K
11:00 UTC-3%80K
12:00 UTC-2%88K
13:00 UTC-2%96K
14:00 UTC-4%99K
15:00 UTC-2%103K
16:00 UTC-3%100K
17:00 UTC-2%92K
18:00 UTC-1%86K
19:00 UTC-2%81K
20:00 UTC-1%75K
21:00 UTC-1%67K
22:00 UTC-1%58K
23:00 UTC-1%52K
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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%234K
Monday0%294K
Tuesday-3%288K
Wednesday-1%253K
Thursday-2%247K
Friday-3%256K
Saturday+3%230K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 2, 202687x their median

    I will soon be introducing a bill to give the public a 50% ownership stake in the largest AI companies in America. This would guarantee that the trillions created by AI are used to improve the lives of all of us — and block oligarch decisions that harm the American people. https://t.co/y3ERWOsRfs

    29K4.5K12K2.5K8.3M viewsView on X
  • Jul 22, 202620x their median

    We support open-source AI and the innovation it unlocks. But open source is not open season on American IP. When PRC firms conduct covert, industrial-scale distillation attacks that cross the line into IP theft, sanctions and Entity List designations will be on the table.

    7.3K1.1K1.5K6693.1M viewsView on X
  • Jul 1, 202615x their median

    Republican Party is now favored to win the Senate in the 2026 midterm elections. https://t.co/fVnSg5ySgD

    6.9K62221898625K viewsView on X
  • Jul 23, 20266.2x their median

    If Anthropic is right and distillation is impossible to prevent, it follows that the strategic value of anyone opening a lead on frontier model capabilities is short-lived, and national security arguments for protectionism fall apart. If china pulls ahead we can distill them!

    3.0K16916738183K viewsView on X
  • Jul 2, 20265.8x their median

    I make the philosophical case for tax fairness and taxing billionaire wealth. I welcome an argument on the merits for this new social contract. Read here: https://t.co/NaIGP43oDq

    668862.2K2252.1M viewsView on X
  • Jun 10, 20265.0x their median

    https://t.co/Hw02laH9yp

    2.2K2001001791.5M viewsView on X
  • Mar 18, 20263.4x their median

    Rippling launched its AI analyst today. I'm not just the CEO - I'm also the Rippling admin for our co, and I run payroll for our ~ 5K global employees. Here are 5 specific ways Rippling AI has changed my job, and why I believe this is the future of G&A software. 🧵 1/n https://t.co/KqWKteZGHa

    1.3K31312681821K viewsView on X
  • Apr 28, 20262.5x their median

    Today, we launched @Rippling Automated Compliance, starting with SOC 2. We have a unique advantage here: we aren't telling you how to fix your stack, because we ARE your stack. device management, identity and access management, HR, performance management... https://t.co/uzP8OrZYYV

    1.1K7096364.3M viewsView on X
  • Apr 17, 20262.2x their median

    The weird thing right now is the public markets don't have access to the growth side of software. Right now the trade is to sell SaaS and buy semis (the raw material of AI). What you don’t have yet in the public markets are the AI native software companies and therefore, you’re comparing the practical values of owning say a Salesforce vs the mythical value of owning a company that’s growing 10x (without having seen the actual financials). And everyone is always going to want the myth. These SaaS stocks aren’t going to trade in a sane fashion until the next generation of AI companies go public and investors can decide how to price a 10% revenue growth company with 30% cash flow vs 300% revenue growth company with negative 100% cash flow and SBC that will blow your mind. Until then, you’re walking hand in hand with your significant other looking over your shoulder. You know the meme.

    1.1K763724313K viewsView on X
  • Jul 22, 20261.9x their median

    A set of open weights has no nationality. A model hosted on American infra and controlled by an American company is as American as apple pie.

    892675231160K 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 540 interactions against 404K followers, an engagement rate of 0.134%. Posts are seen about 104K times each, and 0.516% of those impressions turn into an interaction. That is about 25.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.43 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 2 posts sampled, 100% carry an image or video and 50% are part of a thread. The account's strongest tracked post pulled 47K interactions, about 87x its own typical post. Only 2 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 Parker Conrad's engagement rate on X?
Parker Conrad (@parkerconrad) has an engagement rate of 0.134%, based on the median interactions across 2 original posts from the last 30 days against 403,856 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.134%, Parker Conrad sits above the 50th percentile of the 37,214 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 @parkerconrad have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @parkerconrad post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 0.43 posts per day across the measured window.

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