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Ryan Carson ✓

@ryancarson · Connecticut, USA · joined 22 Nov 2006

Dad, Dev, CEO, 4x Founder. Building @HelloUntangle

186 812Followers
15 827Following
61 626Posts total
110.8KViews on collected posts

Derniers posts

Astra is rolling out https://t.co/HQNG2U0shY 4.9K views · 51 likes · 1 reposts · 7 replies Open on X →
I’ve been full-time on @OmarchyLinux for 3 days now. It’s a huge unlock to have an OS that agents can fully customize/fix/improve. A short example from today: I was scheduled to record a big podcast and I wanted my audio and video to be perfectly tuned. I simply asked Fable 34.7K views · 488 likes · 17 reposts · 51 replies Open on X →
Yes, this is a big deal 8K views · 28 likes · 1 reposts · 4 replies Open on X →
Live! OpenAI model Astra just dropped. 7.9K views · 15 likes · 1 reposts · 3 replies Open on X →
And we all thought Meta was out. Sheesh. 18.6K views · 84 likes · 1 reposts · 11 replies Open on X →
So what's the agent-first replacement for Gusto? 14.3K views · 33 likes · 0 reposts · 20 replies Open on X →
@ryancarson @GustoHQ I've decided the path most users want at this point is to expose an mcp server so that they can connect whichever AI agent of their preference to the software. So instead of making an agent in the software, I think it's best to create an mcp service. 158 views · 3 likes · 0 reposts · 1 replies Open on X →
@ryancarson @GustoHQ I was one of the first Gusto customers years ago. They've had so much potential and lagged so far behind in tech the whole time. 454 views · 4 likes · 0 reposts · 1 replies Open on X →
@ryancarson @GustoHQ Tell @bot, Hermes, or @claudeai to build it for you from here: https://t.co/2JMJwwb1SQ 686 views · 6 likes · 0 reposts · 2 replies Open on X →
.@GustoHQ you need an agent in the app that can do everything I can do in the UI. This is table stakes now. It also should be the leading expert in HR/payroll for our jurisdiction. All of us startups are expecting that your agent will be our HR department. 21.2K views · 51 likes · 1 reposts · 17 replies Open on X →

Face aux comptes de taille comparable

10 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé à plus de monde que les comptes de taille comparable.

Vues médianes7 924ce compte5 983médiane pour 100K–1M
Portée, %4.24%ce compte1.49%médiane pour 100K–1M
Engagement, %0.81%ce compte0.93%médiane pour 100K–1M
IndicateurCe compteMédiane pour 100K–1MRapport
Vues médianes par post7 9245 9831.32×
Portée (vues ÷ abonnés)4.24%1.49%2.85×
Taux d'engagement0.81%0.93%0.87×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

21.2K1 Sep
686
454
158
14.3K2 Sep
18.6K3 Sep
7.9K
8K
34.7K4 Sep
4.9K

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.34%1 Sep
1.17%
1.10%
2.53%
0.37%2 Sep
0.52%3 Sep
0.24%
0.41%
1.61%4 Sep
1.21%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes73.4%763 in total
Reposts2.1%22 in total
Replies11.3%117 in total
Quotes0.8%8 in total
Bookmarks12.4%129 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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