Laravel

@laravel · joined 19 May 2011

The clean stack for Artisans and agents.

177 605Followers

38Following

10 657Posts total

130.8KViews on collected posts

Latest posts

Laravel@laravel8 Sep

Laravel helps you bring your ideas to life! Even if one of those ideas is… a stop motion video app for your little kids. 6.7K views · 21 likes · 4 reposts · 0 replies Open on X →

Laravel@laravel8 Sep

My daughters randomly got really into stop motion videos one day, so I decided to make an app for us to play with. Fun ideas can come from anywhere, even your little kids. We live in an incredible age where you can just build the ideas that pop into your head. https://t.co/2qa4

0:50

12.4K views · 55 likes · 4 reposts · 6 replies Open on X →

Laravel@laravel8 Sep

Come see us at @ApiPlatform in Lille, France next week on Sept 17th & 18th! Our very own engineer, @jeremy__nikolic will be presenting about what can go wrong when you deploy Symfony on Laravel Cloud. (Spoiler: not much!) Want to see Symfony apps in action on Laravel Cloud? ht

5.9K views · 37 likes · 8 reposts · 2 replies Open on X →

Laravel@laravel8 Sep

Laravel Cloud Office Hours https://t.co/WdqUJyvZUB 4.9K views · 20 likes · 2 reposts · 0 replies Open on X →

Laravel@laravel4 Sep

Read about how @pushpak1300 built semantic search into Laravel Boost, then swapped it for something simpler. Good read on how the simpler approach, turned out to be the best. 9K views · 23 likes · 3 reposts · 2 replies Open on X →

Laravel@laravel4 Sep

Curious about what’s shipped lately? This month we added: ◆ Managed queues on Laravel Cloud with FIFO ordering and dedicated Flex/Pro compute classes, and made Private Cloud HIPAA compliant. ◆ Read-through filesystems for downtime-free storage migrations and semantic search in 6.1K views · 34 likes · 3 reposts · 0 replies Open on X →

Laravel@laravel4 Sep

spent 5 days building semantic memory for @laravel Boost. embeddings. search. all the fancy AI stuff. then i deleted the whole thing because markdown + grep was better 😭 wrote about the entire saga here: https://t.co/0yGAcEdzZx 48.9K views · 176 likes · 12 reposts · 19 replies Open on X →

Laravel@laravel4 Sep

Great news! Laravel Cloud preview environments now support @Bitbucket -hosted repos! All the good stuff: ◆ Environment state sync on PR ◆ Quick link to deployment/logs ◆ Preview URL Configure it from your environment settings on Cloud → https://t.co/pSVTcg17Vk https://t.co/FddW 7.5K views · 54 likes · 3 reposts · 2 replies Open on X →

Laravel@laravel3 Sep

P99 Pod is going live with @taylorotwell, @samlambert, @BenjDicken and @Sirupsen in 10 minutes! Tune in live on X! 5.9K views · 19 likes · 1 reposts · 0 replies Open on X →

Laravel@laravel1 Sep

Learn from our very own @pushpak1300 how Laravel Boost can infer your project's conventions and help your agents adhere to them in the future. 7.3K views · 23 likes · 2 reposts · 1 replies Open on X →

Laravel@laravel1 Sep

new blog just dropped 🫡 wrote about how we’re making Laravel Boost figure those conventions out automatically and teach them to your AI agents. https://t.co/5Mzq1jCZqG 16.2K views · 91 likes · 16 reposts · 3 replies Open on X →

Against accounts of the same size

11 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views7 301this account5 983median for 100K–1M

Reach, %4.11%this account1.49%median for 100K–1M

Engagement, %0.45%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	7 301	5 983	1.22×
Reach (views ÷ followers)	4.11%	1.49%	2.76×
Engagement rate	0.45%	0.93%	0.48×

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

16.2K1 Sep

7.3K

5.9K3 Sep

7.5K4 Sep

48.9K

6.1K

4.9K8 Sep

5.9K

12.4K

6.7K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.70%1 Sep

0.36%

0.34%3 Sep

0.80%4 Sep

0.44%

0.61%

0.31%

0.44%8 Sep

0.79%

0.53%

0.37%

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

What the audience does

Likes66.6%553 in total

Reposts7.0%58 in total

Replies4.2%35 in total

Quotes1.4%12 in total

Bookmarks20.7%172 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.

Latest posts

Against accounts of the same size

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Similar accounts