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Michael Guimarin ✓

@Guimarin · Los Gatos, CA · joined 24 Mar 2009

Update in Progress | Fellow @boydinst

24 286Followers
466Following
43 624Posts total
67.7KViews on collected posts

Ultimi post

Grateful for all the people I’ve met through this platform. Since the 00’s my favorite thing about digital communities has been meeting folks AFK. Some great memories. Thank you all. — It is not without risk though. I’ve met people with souls as black as night too. I’m 744 views · 13 likes · 0 reposts · 0 replies Open on X →
The meta in private market venture for years was to break into the old boys club that used capital at series stage combined with gov approval to gate companies. You could not win unless chosen. Where the gay for pay rumors came from. Now that capital is infinite the meta is to 7.1K views · 35 likes · 2 reposts · 3 replies Open on X →
Elon doesn’t need a house because he’s on track to become earth’s first dictator. 2K views · 15 likes · 0 reposts · 10 replies Open on X →
GLP-1s:Personal Trainers is what AI:All Jobs. 3.1K views · 7 likes · 1 reposts · 0 replies Open on X →
There was a lot of around GLPs making personal trainers obsolete But it's been the opposite People are clueless on protein, lifting, habit changes, all of it GLPs reduce appetite, they don't do anything else It's increased demand for coaching and education 12.5K views · 87 likes · 2 reposts · 10 replies Open on X →
@Guimarin Just because you say it doesn’t make it so it’s only true to you 38 views · 1 likes · 0 reposts · 0 replies Open on X →
@Guimarin How's that? What could possibly make it expensive to be rich other than government (progressive taxation, lack of benefits)? 145 views · 0 likes · 0 reposts · 1 replies Open on X →
@Guimarin Best insight I've read this day 109 views · 0 likes · 0 reposts · 0 replies Open on X →
Under scarcity it’s expensive to be poor and cheap to be rich. But under abundance it’s cheap to be poor and expensive to be rich. Complete inversion from what you know. 41.8K views · 98 likes · 8 reposts · 3 replies Open on X →

Rispetto ad account della stessa dimensione

8 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane1 384questo account1 015mediana per 10K–100K
Copertura, %5.70%questo account4.00%mediana per 10K–100K
Interazione, %0.75%questo account1.55%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post1 3841 0151.36×
Copertura (visualizzazioni ÷ follower)5.70%4.00%1.42×
Tasso di interazione0.75%1.55%0.48×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

41.8K10 Feb
10914 Jul
14527 Jul
3824 Aug
12.5K17 Sep
3.1K
2K18 Sep
7.1K
74419 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.26%10 Feb
0.00%14 Jul
0.69%27 Jul
2.63%24 Aug
0.81%17 Sep
0.26%
1.24%18 Sep
0.58%
1.75%19 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes74.0%256 in total
Reposts3.8%13 in total
Replies7.8%27 in total
Quotes1.2%4 in total
Bookmarks13.3%46 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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