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Corey Ganim ✓

@coreyganim · AI Operator Academy 👉 · joined 12 Jun 2022

Helping non-technical entrepreneurs turn AI into ROI. Previous founder of a $16M eCom startup.

60 266Followers
119Following
26 671Posts total
114.9KViews on collected posts

โพสต์ล่าสุด

The AI offer nobody talks about: the process redesign. $3,000 to $5,000. Three deliverables. Zero AI or automation included. 1. Current state process map Here is exactly how the workflow runs today, step by step. 2. Future state process map Here is the same workflow after we 2.3K views · 35 likes · 2 reposts · 5 replies Open on X →
The best advice I could give anyone who wants to become an AI expert in 30 days or less: Ask Claude to build you a course. The exact process: 1) Tell Claude to interview you first. Who you are, what you do, what you want out of AI 2) Have it build a self-guided course from the 4.2K views · 54 likes · 4 reposts · 7 replies Open on X →
My friend @tipbtdennis sells AI workshops out of a coworking space. He asked the space if he could run a free AI lunch and learn once a month. They said yes. Then their sister location downtown said yes too. He's booked through the end of the year. Format: people bring their 3.7K views · 39 likes · 1 reposts · 13 replies Open on X →
@coreyganim @readwise thread 444 views · 1 likes · 0 reposts · 1 replies Open on X →
Repost this for the founder who keeps buying AI tools instead of writing down what their business is. And follow me @coreyganim for daily posts on how to turn AI into ROI. 1.9K views · 5 likes · 0 reposts · 3 replies Open on X →
7. Sell the build Every business you talk to needs these 4 files and none of them have them. $2,000 to $5,000 to build the context layer. It's the first thing I build with every AI Concierge client, and every project after it depends on it. 2.2K views · 3 likes · 0 reposts · 1 replies Open on X →
6. Keep them alive Stale context is worse than no context, because the agent trusts it. Set a weekly routine: read this week's transcripts and drafts, suggest edits to the 4 files, wait for approval. The files should change a little every week. If they haven't changed in a 2.1K views · 4 likes · 0 reposts · 1 replies Open on X →
5. Where the files live One folder. The 4 files at the top level. Every AI tool you use points at that folder. Claude Projects, Cowork, Codex, Grok Bot, a custom GPT. Same 4 files, loaded once, read on every task. This folder is the one thing every agent reads before it works. 2.4K views · 6 likes · 0 reposts · 1 replies Open on X →
4. voice. md How the business talks, how it should never sound, phrases it uses, phrases it avoids, examples of good writing. How to build it: hand Claude 10 pieces of writing you're proud of and 3 you hate. Ask for the rules that separate them. The mistake: describing your 2.7K views · 5 likes · 0 reposts · 1 replies Open on X →
3. offer. md Packages, deliverables, pricing logic, proof, promises, claims to avoid, what counts as a good fit customer. How to build it: write it yourself first. This is the one file where your judgment beats the transcript. Then have Claude interrogate it: what's ambiguous, 3.1K views · 3 likes · 0 reposts · 1 replies Open on X →
2. customer. md ICP, pains, objections, buying triggers, questions they ask, the exact language they use, fears, decision criteria. How to build it: this one comes from call transcripts, not from your head. Feed Claude 5 to 10 sales or discovery calls and tell it to pull the 3.6K views · 4 likes · 0 reposts · 1 replies Open on X →
1. company. md What the company sells, who it serves, how it makes money, what it believes, what makes it different. How to build it: paste your website, your last 3 proposals, and one sales call transcript into Claude. Ask it to draft company. md from those 5 sections. 10 4.1K views · 6 likes · 0 reposts · 1 replies Open on X →
every useful AI workspace needs these 4 files (at minimum): company. md customer. md offer. md voice. md Almost nobody asked what actually goes in the files or how to build them. Here's the full build: (the 4th file is the one everyone gets wrong): 1. company. md 47.1K views · 433 likes · 23 reposts · 20 replies Open on X →
@coreyganim Awe Man! @coreyganim You have NO IDEA…How Good This Was To Read…How Genuine this Post Felt and Hit me right in my mind AND Heart! This statement right here 👉🏾 “All of it traces back to one thing: investing in the Build With AI podcast, social media, personal branding 108 views · 4 likes · 0 reposts · 1 replies Open on X →
@coreyganim The backstory is always better than the highlight reel. Congrats on 50K! 128 views · 3 likes · 0 reposts · 1 replies Open on X →
@coreyganim What a great read, thanks for sharing! Congratulations too! 239 views · 4 likes · 0 reposts · 1 replies Open on X →
This week I crossed 50,000 followers on X. Hard to believe, because when I started posting about AI, I had 15k. Every one of them came from my old life: selling on Amazon. Most of you know me as an AI guy. You probably know nothing about how I got here. Here are a few things h
34.7K views · 292 likes · 10 reposts · 49 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

14 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองอ่อนกว่าส่วนใหญ่.

ยอดดูมัธยฐาน2 538บัญชีนี้927ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %4.21%บัญชีนี้3.63%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.36%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์2 5389272.74×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)4.21%3.63%1.16×
อัตราการมีส่วนร่วม0.36%1.52%0.24×

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

10829 Jul
47.1K11 Sep
4.1K
3.6K
3.1K
2.7K
2.4K
2.1K
2.2K
1.9K
44412 Sep
3.7K
4.2K
2.3K

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

4.63%29 Jul
1.01%11 Sep
0.17%
0.14%
0.13%
0.22%
0.29%
0.24%
0.18%
0.43%
0.45%12 Sep
1.43%
1.56%
1.79%

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

What the audience does

Likes31.0%901 in total
Reposts1.4%40 in total
Replies3.7%108 in total
Bookmarks63.9%1 856 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.

บัญชีที่คล้ายกัน