Marvin von Hagen ✓

@marvinvonhagen · Palo Alto, California · joined 10 Apr 2017

co-founder @interaction, now @cognition // prev co-founder @tum_boring, stints @tesla + @mit

18 386Followers

971Following

4 687Posts total

3.3MViews on collected posts

Derniers posts

Marvin von Hagen ✓@marvinvonhagen3 Sep

i love twitter within just 2 hours of tweeting an RSA-260 factor, a researcher from the team who factored RSA-155 in 1999 shows up in the replies to say congrats before @penlume was even born! 🫨 https://t.co/dS5N1S8xQD 994.6K views · 9.3K likes · 453 reposts · 34 replies Open on X →

Marvin von Hagen ✓@marvinvonhagen20 Aug

i guess we'll have to run ai watermark checks on texts from friends 🫨 24.5K views · 152 likes · 0 reposts · 6 replies Open on X →

Marvin von Hagen ✓@marvinvonhagen19 Aug

when @walden_yan first told me about building an "ai software engineer" in his harvard dorm, i thought he was delusional now that ai software engineer is working while i'm writing this tweet 🦦 https://t.co/ocX5IPSaTn 15.4K views · 124 likes · 4 reposts · 1 replies Open on X →

Marvin von Hagen ✓@marvinvonhagen19 Aug

At Cognition, one of our values is to go for it all: when faced with a tradeoff, pick the ambition-maximizing direction. When we launched Devin in 2024, we envisioned a future where every team had an infinite army of junior engineers. We were early and Devin wasn't good enough. 354.2K views · 740 likes · 76 reposts · 28 replies Open on X →

Marvin von Hagen ✓@marvinvonhagen18 Aug

saw this car last night https://t.co/jEwNNCTmWD 8.7K views · 146 likes · 0 reposts · 1 replies Open on X →

Marvin von Hagen ✓@marvinvonhagen18 Aug

As models become more capable, the risks associated with developing and testing them internally also grow. We temporarily paused reinforcement learning (RL) training on our latest models intended for deployment for two weeks while we hardened and red-teamed our research 1.8M views · 5.4K likes · 458 reposts · 646 replies Open on X →

Marvin von Hagen ✓@marvinvonhagen28 Jul

Rewind was ahead of its time! Since agents took off, video data of work getting done has become incredibly helpful: (a.) Personal context (b.) Enterprise-level insights. I'm both personally a Coast Local DAU, and @Interaction has equipped every Poke Human with @AttentionInc htt 40.1K views · 237 likes · 11 reposts · 16 replies Open on X →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes40 096ce compte924médiane pour 10K–100K

Portée, %218.08%ce compte3.62%médiane pour 10K–100K

Engagement, %0.66%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	40 096	924	43.4×
Portée (vues ÷ abonnés)	2.2× audience	3.62%	60.2×
Taux d'engagement	0.66%	1.52%	0.43×

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

40.1K28 Jul

1.8M18 Aug

8.7K

354.2K19 Aug

15.4K

24.5K20 Aug

994.6K3 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.66%28 Jul

0.38%18 Aug

1.69%

0.25%19 Aug

0.84%

0.65%20 Aug

0.99%3 Sep

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

What the audience does

Likes79.4%16 114 in total

Reposts4.9%1 002 in total

Replies3.6%732 in total

Quotes2.7%554 in total

Bookmarks9.3%1 898 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.