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Michael ✓

@michael_chomsky · San Francisco · joined 24 Aug 2020

MTS @ https://t.co/MowZ6tydCO https://t.co/wP5OsA9afm • https://t.co/UPVdiCl5mL. Scout @trygravityai & investor. Most startup problems can be solved w/ 100M views.

15 085Followers
6 190Following
8 602Posts total
1MViews on collected posts

Neueste Beiträge

i heard you guys like semantic ci? well here's a skill. semantic ci, completely free https://t.co/Kf1hO6Fcb5 185 views · 2 likes · 0 reposts · 1 replies Open on X →
you can use jev in grok, claude code, codex, chatgpt, claude, basically anywhere for free with https://t.co/mcel85kUB7 did i mention we outperform jev in smart mode by using small llms? https://t.co/ZjyhJOkifr
1.7K views · 26 likes · 0 reposts · 4 replies Open on X →
introducting chat with jev. chat with jev, see what's possible. now on https://t.co/mcel85kUB7 ok now off to sleep, it's 5am for me. this is probably going to break, but whatever! search/scraping powered by @getcontextdev https://t.co/mB0Nc5EzwR
1.2K views · 36 likes · 1 reposts · 4 replies Open on X →
btw the thing with jev like models that people ignore is that serving low latency workloads and large batches is completely different problem, and need completely different configurations there's so much to be done to make this kind of intelligent classification completely free 886 views · 7 likes · 0 reposts · 0 replies Open on X →
btw I'm currently collecting basically no data, i don't really know what you're classifying. heading to sleep now and hoping this doesn't break before I wake up. fully OS and auditable, feel free to make issues/contributions we'll be releasing new models, image support, and 8.1K views · 22 likes · 0 reposts · 1 replies Open on X →
@michael_chomsky you taught it well https://t.co/Bu0T1D2UH7
11.8K views · 64 likes · 0 reposts · 2 replies Open on X →
https://t.co/mcel85kUB7 now outperforms jev and is free go nuts guys https://t.co/ZjfE7HITKh
208.1K views · 3.7K likes · 213 reposts · 86 replies Open on X →
we’re expanding into more cities, including Toronto, Dubai, NY, LA, Barca and more. dm me if interested—the number of affiliates worldwide has skyrocketed! also I slashed prices 10.5K views · 32 likes · 0 reposts · 6 replies Open on X →
website works now. go crazy. if you need a discount dm me but the prices feel fair to me. 21.5K views · 57 likes · 0 reposts · 5 replies Open on X →
@michael_chomsky to npm install in person. Peak SF. 10.3K views · 126 likes · 1 reposts · 1 replies Open on X →
this is 100% serious btw. website doesn’t work yet but my dms do. Send a dm, I’ll send you a stripe link and my calendar. You choose a time and I lime scooter my way to you and connect all your devices to openclawd. Service area is limited to wherever lime scooters go. 39.8K views · 188 likes · 1 reposts · 9 replies Open on X →
Introducing https://t.co/qOmHpFvptF No website yet—it’s a service where you DM me and I show up to your house/office with a mac mini and personally set up OpenClaw. Limited to sf. 693.1K views · 3K likes · 88 reposts · 255 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird mehr Menschen gezeigt als Konten gleicher Größe.

Medianaufrufe1 718dieses Konto924Median für 10K–100K
Reichweite, %11.39%dieses Konto3.62%Median für 10K–100K
Interaktion, %1.62%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag1 7189241.86×
Reichweite (Aufrufe ÷ Follower)11.39%3.62%3.15×
Interaktionsrate1.62%1.52%1.07×

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

693.1K30 Jan
39.8K
10.3K
21.5K
10.5K
208.1K19 Sep
11.8K
8.1K
886
1.2K
1.7K
185

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.49%30 Jan
0.50%
1.24%
0.29%
0.36%
1.92%19 Sep
0.56%
0.28%
0.79%
3.47%
1.75%
1.62%

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

What the audience does

Likes52.3%7 206 in total
Reposts2.2%304 in total
Replies2.7%374 in total
Quotes1.0%132 in total
Bookmarks41.8%5 757 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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