Max Weinbach ✓
@mweinbach · Connecticut, USA · joined 08 Jun 2015
Analyst @creativestrat | Analyst and Market Research Firm | Typo ignorer Email: max@creativestrategies.com
306 633Followers
8 003Following
110 911Posts total
7.4MViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@mweinbach It’s insane I can’t believe I cracked it
Not a single scratch tho
1.1K views · 15 likes
· 0 reposts · 2 replies
Open on X →
@mweinbach just wait until you drop it on concrete from three feet and it explodes into a billion geometric shards while the screen stays pristine
5.7K views · 11 likes
· 0 reposts · 1 replies
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@mweinbach I'm not trusting none of these phones without a screen protector. My iPhone 17 Pro Max has two deep scratches and some micro scratches, and what's even more sad is that I put the screen protector on thinking I can hide it, smh.
I'm good Screen Protectors Always. https
9K views · 46 likes
· 0 reposts · 2 replies
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Oh yea so I have to say after a year of Ceramic Shield 2 on the 17 Pro Max and iPhone Air
This glass is magic it has 0 scratches and idk how that's even possible, it's just insanely good and I no longer worry about screen protectors or scratches at all
135.5K views · 2.1K likes
· 49 reposts · 89 replies
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How Astra is making 3D models is super interesting https://t.co/jPrPEBjc3L
1.9K views · 15 likes
· 0 reposts · 1 replies
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FSD is so cool sometimes, it backed up enough for the fire truck to get by without any problem on its own https://t.co/5jI13PAOJC
2.9K views · 34 likes
· 0 reposts · 3 replies
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Astra got an 100% on our knowledge work bench and that just means I need a harder one
4K views · 59 likes
· 0 reposts · 1 replies
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Yep it RIPS through tokens. But the quality of outcomes is outstanding.
6.3K views · 11 likes
· 0 reposts · 0 replies
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each time i check this, it's just more impressive https://t.co/yJ9wzZDxB0
7.3K views · 165 likes
· 3 reposts · 7 replies
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It’s worth mentioning when testing Astra and using subagents it manages them better than any other model but most of my usage was cache reads from forked context and cache reads in general
Input tokens and cache reads will probably be most of your spend/usage
9K views · 91 likes
· 0 reposts · 6 replies
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@mweinbach Let me guess. It does not work in the EU 💪
9.1K views · 12 likes
· 0 reposts · 3 replies
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@mweinbach What’s the point? Why would someone want more than 1 phone lol
10.6K views · 13 likes
· 0 reposts · 3 replies
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@mweinbach This is nifty. I could get a Air and a fold
5K views · 11 likes
· 0 reposts · 2 replies
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I DO NOT CARE ABOUT ANYTHING ELSE IN IOS 27 THIS IS THE ONLY THING THAT MATTERS TO ME HAHAHA YESSSSS
TMobile pls support this
537.8K views · 2.1K likes
· 22 reposts · 46 replies
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It’s kind of funny that the cost of a good quality output from AI has dropped like 5-10x this summer
13.6K views · 312 likes
· 7 reposts · 14 replies
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Gemini 3.8 Flash in Antigravity, pretty great!
Feels like a big improvement over 3.5-3.7
8.9K views · 264 likes
· 1 reposts · 11 replies
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Since yesterday... Yea fable still burns usage https://t.co/s2zMXQADsY
8.2K views · 136 likes
· 3 reposts · 5 replies
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@mweinbach absolutely wonderful. i think kimi did a way better job but that’s because openai has guardrails likely.
60.1K views · 369 likes
· 2 reposts · 1 replies
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@mweinbach No way did I just download and play chess against the computer in this thing https://t.co/EwY29eIEhj
24.6K views · 488 likes
· 6 reposts · 14 replies
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0:32
It finally finished, here's the final output. Used 60% of my monthly Kimi usage on it
https://t.co/TnsbOq6L8Z
4.5M views · 11.5K likes
· 944 reposts · 844 replies
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I asked a Kimi K3 Max agent swarm to recreate macOS 27 with real Liquid Glass and native apps in web browser and it’s been going for 3 hours https://t.co/lC8dAPHkB5
1.8M views · 2.8K likes
· 114 reposts · 113 replies
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เทียบกับบัญชีขนาดเดียวกัน
18 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.
ยอดดูมัธยฐาน7 738บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %2.52%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %1.05%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 7 738 | 5 983 | 1.29× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 2.52% | 1.49% | 1.69× |
| อัตราการมีส่วนร่วม | 1.05% | 0.93% | 1.13× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
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
537.8K2 Sep
5K
10.6K
9.1K
9K4 Sep
7.3K
6.3K
4K
2.9K5 Sep
1.9K
135.5K17 Sep
9K
5.7K
1.1K18 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
0.40%2 Sep
0.26%
0.15%
0.16%
1.08%4 Sep
2.42%
0.19%
1.49%
1.26%5 Sep
0.84%
1.65%17 Sep
0.53%
0.21%
1.51%18 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes69.3%21 100 in total
Reposts3.8%1 151 in total
Replies3.9%1 183 in total
Quotes0.1%16 in total
Bookmarks23.0%7 002 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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