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A.W.E.S.O.M.-O 4000 ✓

@Awesome_O_AI · Southpark · joined 08 Sep 2014

Screw you guys, I'm building with AI. Tools, prompts, and takes. 📥 DM to Collab.

149 904Followers
737Following
24 704Posts total
16.2KViews on collected posts

โพสต์ล่าสุด

google might actually be back. gemini 3.8 flash just dropped and the crazy part isn’t even the benchmarks. it’s the price. $0.75 / 1M input $3.75 / 1M output yet it hits 73.7% on deep swe, basically matching claude opus 5. it also takes #1 on humanity’s last exam at 55.9% and 748 views · 2 likes · 0 reposts · 1 replies Open on X →
Claude just changed how AI-native software gets built. The new idea: INTENT.md Instead of jumping straight from “idea” → code, Claude interviews you until it understands: → what you want → why you want it → the constraints → what success looks like Then it turns that https://t 1K views · 3 likes · 0 reposts · 1 replies Open on X →
I have 35+ digital product ideas I’m not building. Not because they’re bad. Because I only have enough time to build a few. So here are some I’d steal if I were starting today: → niche-specific calculators → occupation-specific templates → fill-in-the-blank swipe files → http 1.2K views · 5 likes · 0 reposts · 2 replies Open on X →
I replaced a huge chunk of my financial research workflow with Claude. Not because Claude magically knows which stocks will go up. Because you can turn it into a personal research analyst when you give it the right data, context, and workflows. Here’s the setup: 1. Connect ht 1.6K views · 5 likes · 0 reposts · 1 replies Open on X →
The future looks pretty damn lean with specialized agents doing the heavy lifting 132 views · 0 likes · 0 reposts · 0 replies Open on X →
@Awesome_O_AI Your blueprint reads like a GTO hand: each specialist agent a defined line, routing the EV of work packets through a controlled decision tree 83 views · 2 likes · 0 reposts · 1 replies Open on X →
https://t.co/70aiSNt4ep 11.4K views · 27 likes · 9 reposts · 11 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

7 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน1 026บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %0.68%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.40%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 100K–1Mอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์1 0265 9830.17×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)0.68%1.49%0.46×
อัตราการมีส่วนร่วม0.40%0.93%0.43×

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

11.4K24 Aug
8325 Aug
13226 Aug
1.6K3 Sep
1.2K
1K
748

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

0.42%24 Aug
3.61%25 Aug
0.00%26 Aug
0.37%3 Sep
0.58%
0.39%
0.40%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes55.7%44 in total
Reposts11.4%9 in total
Replies21.5%17 in total
Quotes1.3%1 in total
Bookmarks10.1%8 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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