Gunnar Morling 🌍 ✓

@gunnarmorling · Hamburg, Germany · joined 13 Feb 2014

Technologist @Confluentinc · Ex-lead of Debezium · Spec lead of Bean Validation 2.0 · Creator of Hardwood, kcctl, JfrUnit, MapStruct · Java Champion · 🚴

70 748Followers

299Following

30 543Posts total

353KViews on collected posts

Derniers posts

Gunnar Morling 🌍 ✓@gunnarmorling11 Sep

Oh wow, hello. If you deal with Parquet files on the JVM, check out my latest project. Built with AI, but not by AI; patiently looking after my agents, one PR at a time ;) https://t.co/fXYDvRWlhB 19.7K views · 21 likes · 0 reposts · 0 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling11 Sep

@gunnarmorling I’ve been noodling on a theory around what makes collaborating with someone so good and it’s that they say “I got this.” The best people are “I got this” people that you can hand something off to and forget it so I think You’re on to something here. 17.5K views · 263 likes · 3 reposts · 8 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling11 Sep

Finally realized why it’s so exhausting and stressful to work with AI agents 8h a day. When delegating a task, you want to be assured it’s off your plate and you can forget about it, knowing it will be done completely and correctly. AI doesn’t give you that: you need to check 294.1K views · 4K likes · 310 reposts · 460 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling11 Sep

🚀 Ran our read benchmarks for the #Hardwood Parquet library to see where things stand performance-wise compared to the 1.0 release. Many improvements across most of them: most notably, Bloom filters have been added since 1.0, substantially speeding up look-up queries (eq(), https

2.3K views · 15 likes · 2 reposts · 4 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling10 Sep

Is it just me, or has Claude Code lately become *much* better in regards to not asking for confirmation for everything? 5.6K views · 18 likes · 0 reposts · 13 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling4 Sep

So bored by all these AI-generated videos, 3D fly-by scenes created from a few pictures, etc. Sure, technically they're super-impressive. But they all feel hollow, there's no real emotion or connection. Lacking the human touch, and it shows. 3.3K views · 37 likes · 3 reposts · 5 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling26 Jun

@gunnarmorling Congrats Gunnar! Awesome! 245 views · 2 likes · 0 reposts · 1 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling25 Jun

👉 Hardwood 1.0 release announcement: https://t.co/sVTWOOCZ2N A big thank you to everyone in the community who helped get it done 🙏! 751 views · 4 likes · 0 reposts · 0 replies Open on X →

Gunnar Morling 🌍 ✓@gunnarmorling25 Jun

Today is the day: #Hardwood reaches 1.0 🚀! A from-scratch #Parquet library for the JVM, reading (and soon writing) Apache Parquet fast: multi-threaded at its core, with no mandatory dependencies. Java 21+, Apache 2.0, production-ready. Happy Parquet parsing! https://t.co/n4wRQA

9.4K views · 92 likes · 17 reposts · 4 replies Open on X →

Face aux comptes de taille comparable

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

Vues médianes5 636ce compte993médiane pour 10K–100K

Portée, %7.97%ce compte3.67%médiane pour 10K–100K

Engagement, %1.20%ce compte1.61%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	5 636	993	5.68×
Portée (vues ÷ abonnés)	7.97%	3.67%	2.17×
Taux d'engagement	1.20%	1.61%	0.75×

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

9.4K25 Jun

751

24526 Jun

3.3K4 Sep

5.6K10 Sep

2.3K11 Sep

294.1K

17.5K

19.7K

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

1.20%25 Jun

0.53%

1.22%26 Jun

1.38%4 Sep

0.55%10 Sep

0.90%11 Sep

1.63%

1.57%

0.11%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.

What the audience does

Likes73.3%4 486 in total

Reposts5.5%335 in total

Replies8.1%495 in total

Bookmarks13.1%802 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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