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martin_casado ✓

@martin_casado · joined 04 Oct 2008

@ a16z

95 060Followers
3 380Following
33 884Posts total
932.8KViews on collected posts

Neueste Beiträge

I worked on an actual thermonuclear weapons project, and the dissonance was less bizarre. 60.2K views · 1.3K likes · 79 reposts · 58 replies Open on X →
Real time streaming of next view prediction model that has accurate camera positioning and is 3D consistent. Unbelievable. 26.8K views · 122 likes · 8 reposts · 4 replies Open on X →
Hahaha. When winning is loosing. We need smarter AI to help the lad. 27.3K views · 118 likes · 8 reposts · 10 replies Open on X →
I suspect the market is getting to the point that it doesn’t make economic sense to push the models forward for high skilled dev tasks. Clearly seeing bumps in cyber. But not raw software engineering. 78.8K views · 561 likes · 23 reposts · 95 replies Open on X →
The new models are amazing. But it seems coding has saturated? There is clearly a meaningful step in computer use. But I don’t notice a meaningful step in coding for the work I’m doing. Maybe skill issue :) 163K views · 940 likes · 25 reposts · 186 replies Open on X →
Astra helped me win an argument i had with my fianceé on whether glasses dry faster right-side-up or upside-down after dishwashing by simulating the physics of the water molecules and nearby air humidity thank you @OpenAI ❤️🥹 https://t.co/plL5TPCfgY
0:15
235.6K views · 1.4K likes · 53 reposts · 175 replies Open on X →
@martin_casado The "there are no moats" crowd is basically the "I've run out of ideas" crowd. 1.1K views · 8 likes · 0 reposts · 1 replies Open on X →
@martin_casado A list of moats I just made for our company: 1. Trust: we are already trusted by #1 companies in 10 verticals include AI Labs. 2. Scale: we protect companies at the scale of Walmart & bigger. Our largest customer has 450M users' data that needs to be processed in 718 views · 8 likes · 1 reposts · 0 replies Open on X →
@martin_casado some have alligators 360 views · 4 likes · 0 reposts · 0 replies Open on X →
There are plenty of moats. 58.4K views · 558 likes · 24 reposts · 81 replies Open on X →
Article here: https://t.co/4xtIDisZWy 9.1K views · 14 likes · 0 reposts · 1 replies Open on X →
@martin_casado a27z! congrats on the incredible week. 2.2K views · 14 likes · 0 reposts · 1 replies Open on X →
@martin_casado Firm > Fund. Team > Individual. 956 views · 17 likes · 0 reposts · 0 replies Open on X →
@martin_casado It’s time for a new Midas Teams List. The Midas List is a problem today. Maybe we create our own or @alexrkonrad wants to work with us on it? The Upstart Team VC “Midas” List? 2.1K views · 13 likes · 0 reposts · 2 replies Open on X →
I've never worked on a deal in venture that didn't involve multiple people. Not just in supporting roles, but critical to getting the deal done and making the company successful. I don't think we recognize enough how much venture really is a team game. 55.2K views · 622 likes · 24 reposts · 32 replies Open on X →
@martin_casado like everything the idea is simple but execution is not everyone says their minimal harness is minimal in the right places they're pretty much all wrong 9.3K views · 94 likes · 1 reposts · 5 replies Open on X →
@martin_casado i think the harness has a ton of value interfacing with your cli / system and your conversation history, etc but it should absolutely be as thin as possible (i like to think of vim as the mental model here) but i think a lot of the bloat you get in these harnesses 6K views · 78 likes · 3 reposts · 3 replies Open on X →
@martin_casado small harness w swappable model, storing learnings and capabilities outside of harness 3.9K views · 50 likes · 1 reposts · 2 replies Open on X →
On harnesses, I vacillate between three beliefs: - the less harness, the better. Models are the magic - post training a model and harness is dramatically better and the model providers win - harnesses have real independent value from the model I have no idea which is right. 191.8K views · 861 likes · 37 reposts · 209 replies Open on X →

Im Vergleich zu Konten gleicher Größe

15 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe26 794dieses Konto924Median für 10K–100K
Reichweite, %28.19%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.80%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag26 79492429.0×
Reichweite (Aufrufe ÷ Follower)28.19%3.62%7.79×
Interaktionsrate0.80%1.52%0.53×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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

2.1K21 Aug
956
2.2K
9.1K24 Aug
58.4K30 Aug
360
718
1.1K31 Aug
235.6K6 Sep
163K
78.8K
27.3K
26.8K8 Sep
60.2K9 Sep

Last 14 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%21 Aug
1.78%
0.69%
0.17%24 Aug
1.17%30 Aug
1.11%
1.25%
0.80%31 Aug
0.67%6 Sep
0.71%
0.86%
0.50%
0.50%8 Sep
2.45%9 Sep

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

What the audience does

Likes75.4%6 774 in total
Reposts3.2%287 in total
Replies9.6%865 in total
Quotes0.9%82 in total
Bookmarks10.9%982 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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