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Julián Duque ✓

@julian_duque · St Petersburg, FL · joined 05 Apr 2011

AI Advocate | @MuleSoft | @maleja111 husband 💖 | Chaotic Good GM ⚔️ Temple of Baal | He/Him | Opinions are my own | 🇨🇴🇺🇸

17 495Followers
6 393Following
28 554Posts total
7.6KViews on collected posts

Latest posts

Salesforce Koa has entered the chat https://t.co/dBf6ZJ8uh9 854 views · 10 likes · 1 reposts · 0 replies Open on X →
@julian_duque @maleja111 Hey @julian_duque try out CogniBios! https://t.co/JZQBv5T79b build by my dr family :) 29 views · 0 likes · 0 reposts · 0 replies Open on X →
@julian_duque @maleja111 Somehow related: https://t.co/Vj7uyylXo7 60 views · 0 likes · 0 reposts · 1 replies Open on X →
@julian_duque @maleja111 just in time software is here 😭 i did the same for all my garmin metrics. their interface and app is horrible, but i have a github actions job that pulls data from their API and stores in my own beautiful app experience. took a few hours. 💪 99 views · 2 likes · 0 reposts · 1 replies Open on X →
My wife (@maleja111) and I got tired of our multiple food and health tracking apps and decided to build our own with an AI-assisted companion, food label, barcode, and food plate image recognition, and integration with Health Connect. https://t.co/xxQqM4ms5j
2.1K views · 39 likes · 4 reposts · 6 replies Open on X →
@dhh are you solving computer use in Omarchy? 1.7K views · 2 likes · 0 reposts · 1 replies Open on X →
Astra has been working all night in medium effort, limits still below 50% I used it to de-slop a project built mainly with Fable and the results are impressive, very good at working unattended, just stopped to ask me permission to call an external LLM and then continued for 1.3K views · 14 likes · 0 reposts · 1 replies Open on X →
Fable 5.1 in low effort is a beast, literally impressed, it's been grinding for more than 12 hours non-stop and usage is just at 17% 1.5K views · 11 likes · 1 reposts · 1 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 to more people than peers of the same size.

Median views1 076this account924median for 10K–100K
Reach, %6.15%this account3.62%median for 10K–100K
Engagement, %1.22%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post1 0769241.17×
Reach (views ÷ followers)6.15%3.62%1.70×
Engagement rate1.22%1.52%0.80×

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

1.5K3 Sep
1.3K5 Sep
1.7K6 Sep
2.1K11 Sep
99
60
29
85415 Sep

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

0.89%3 Sep
1.15%5 Sep
0.17%6 Sep
2.36%11 Sep
3.03%
1.67%
0.00%
1.29%15 Sep

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

What the audience does

Likes78.0%78 in total
Reposts6.0%6 in total
Replies11.0%11 in total
Bookmarks5.0%5 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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