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Odd Diligence ✓

@OddDiligence · joined 04 Aug 2010

Long/short event-driven trading, looking under pebbles and rocks. Not investment advice.

17 234Followers
1 502Following
10 265Posts total
409.2KViews on collected posts

Latest posts

@OddDiligence bro? did you just…? https://t.co/AjKkwvruZT
1.6K views · 21 likes · 0 reposts · 0 replies Open on X →
Interesting $FSLY finding from testing Meta Muse. Through a series of hundreds of tests, it appears that the $FSLY role with Meta Muse is greater than analysts have noted Over the past week, I created several test websites and ran 738 controlled tests to send traffic from Muse
289.6K views · 503 likes · 41 reposts · 35 replies Open on X →
Fastly, unsurprisingly, has been tight lipped regarding this relationship In their analyst day yesterday, when approached about “consumer AI use cases like Muse, OpenClaw, whatever might be coming”, CEO Kip Compton replied, “Yes. I’m pausing because I – we have a lot of https:
10.5K views · 66 likes · 1 reposts · 2 replies Open on X →
$SRAD is explicitly mentioned in $META Muse source code & technical documentation - although functionality does not appear to have been turned on yet I believe Meta will expand their relationship with Sportradar https://t.co/OS10T9268i
67.1K views · 318 likes · 17 reposts · 18 replies Open on X →
Can anyone find the rental listing for any property featured on Figure’s 4 hour video? I couldn’t… 🤷‍♂️ https://t.co/YV31D0noDs
9K views · 16 likes · 1 reposts · 3 replies Open on X →
$CCXI $GNRC mY Llm SeYs sO ShiTTy tO giVe AmAzoN WaRranTs MuSt bE ShiTcO https://t.co/qB8BwzvlHZ
7K views · 30 likes · 1 reposts · 5 replies Open on X →
$HQ tl;dr index arbs sold shares yesterday on incorrect data data was corrected this afternoon index arbs have to figure out what to do with their sold shares 7.7K views · 18 likes · 1 reposts · 3 replies Open on X →
$HQ so as many know, QTUM ETF owns 6,565,887 HQ shares (by far the majority of float). The QTUM ETF reviews weightings semi-annually per ETF documentation. This would mean next weighting change is not until December Surprisingly, they published a file Friday night that included
16.7K views · 34 likes · 0 reposts · 6 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views9 732this account924median for 10K–100K
Reach, %56.47%this account3.62%median for 10K–100K
Engagement, %0.41%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post9 73292410.5×
Reach (views ÷ followers)56.47%3.62%15.6×
Engagement rate0.41%1.52%0.27×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

16.7K15 Sep
7.7K
7K16 Sep
9K17 Sep
67.1K22 Sep
10.5K23 Sep
289.6K
1.6K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.28%15 Sep
0.30%
0.51%16 Sep
0.22%17 Sep
0.54%22 Sep
0.67%23 Sep
0.22%
1.32%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes54.6%1 006 in total
Reposts3.4%62 in total
Replies3.9%72 in total
Quotes3.6%66 in total
Bookmarks34.5%635 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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