Jaydeep ✓

@_jaydeepkarale · Pune, India · joined 04 Feb 2019

31 368Followers

663Following

65 259Posts total

6.8KViews on collected posts

Derniers posts

Jaydeep ✓@_jaydeepkarale8 Sep

Go to ChatGPT & write “How would I have looked in the 1980s?" and post your results ✨️ https://t.co/U6I12YJXfh

3K views · 31 likes · 0 reposts · 15 replies Open on X →

Jaydeep ✓@_jaydeepkarale8 Sep

I came across the story of Jai Arrow, the Australian rugby league player who was diagnosed with motor neurone disease at just 30. Thirty. This wasn't someone who neglected his health. He was a professional athlete. He trained for a living. He was at the top of his trade. He ht

578 views · 9 likes · 1 reposts · 1 replies Open on X →

Jaydeep ✓@_jaydeepkarale8 Sep

Sorry but this doesn't feel true on the ground. Most companies have hiring freeze to try and see how much they can squeeze out of engineers equipped with large amount of tokens. Maybe I'm wrong, I would love to be but most people I've talked to especially had junior to mid 448 views · 1 likes · 0 reposts · 0 replies Open on X →

Jaydeep ✓@_jaydeepkarale8 Sep

Your most valuable skill may be knowing what not to learn Software engineers are surrounded by things they could learn. A new programming language, cloud service, framework, AI tool, certification, database, architecture pattern or productivity system appears almost every week. 799 views · 17 likes · 0 reposts · 0 replies Open on X →

Jaydeep ✓@_jaydeepkarale7 Sep

Did you know this ? 847 views · 6 likes · 0 reposts · 1 replies Open on X →

Jaydeep ✓@_jaydeepkarale7 Sep

Your Java application is stuck. CPU looks normal. No exceptions. Threads are alive. But nothing is moving. Then you run: jstack <pid> And Java tells you: “Found one Java-level deadlock.” How does the JVM actually detect a deadlock? https://t.co/k4vQS3eGly

1.1K views · 5 likes · 1 reposts · 1 replies Open on X →

Face aux comptes de taille comparable

6 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. touche moins de monde que les comptes de taille comparable.

Vues médianes823ce compte924médiane pour 10K–100K

Portée, %2.62%ce compte3.62%médiane pour 10K–100K

Engagement, %1.23%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	823	924	0.89×
Portée (vues ÷ abonnés)	2.62%	3.62%	0.72×
Taux d'engagement	1.23%	1.52%	0.81×

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

1.1K7 Sep

847

7998 Sep

448

578

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.73%7 Sep

0.83%

2.13%8 Sep

0.22%

1.90%

1.64%

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

What the audience does

Likes68.3%69 in total

Reposts2.0%2 in total

Replies17.8%18 in total

Quotes5.0%5 in total

Bookmarks6.9%7 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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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