Ifiok Nkem ✓
@ifioknkem · joined 17 Jan 2015
Mission: Teach 1M people AI for free. Serial SaaS Founder ($10M+ rev | 70k+ users) CEO @ https://t.co/zYJzo479iy - AI agents for coaches, experts & founders.
84 159Followers
532Following
26 660Posts total
85.2KViews on collected posts
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People think using Claude Code is about writing better prompts.
It’s not.
The real unlock is structuring your repository so Claude can think like an engineer.
If your repo is messy, Claude behaves like a chatbot.
If your repo is structured, Claude behaves like a developer htt
1.2K views · 3 likes
· 3 reposts · 1 replies
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Singapore’s Foreign Minister, Dr Balakrishnan casually explaining how he built his own AI agent (a second brain for diplomacy) using Claude And WhatsApp integration.
This is what AI adoption actually looks like.
“You cannot govern a technology you have only been briefed on.” ht
1.8K views · 19 likes
· 6 reposts · 1 replies
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21:43
ChatGPT has (quietly) built a file on you. You've never seen most of what's in it.
Every message you send feeds it. It studies your patterns to map your personality and habits, things you never actually told it.
Here are 15 prompts to pull up EVERYTHING ChatGPT has on you, and
2.8K views · 10 likes
· 4 reposts · 2 replies
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@ifioknkem How to get the entire video? Course?
118 views · 1 likes
· 0 reposts · 1 replies
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@ifioknkem Worth watching for one idea alone: treat the prompt as context engineering, not wording tricks. Since I started writing CLAUDE.md as "here is how this repo works + what done looks like" instead of clever instructions, agent output got noticeably steadier.
224 views · 1 likes
· 0 reposts · 1 replies
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🚨 Anthropic just dropped a 27-minute masterclass on how to (actually) write prompts for Claude and Claude Code.
Taught by the engineer who built it.
You'll NEVER see Claude the same way after watching this.
Free. No registration. No paywall.
I've seen $300 courses that don't
75.4K views · 228 likes
· 47 reposts · 11 replies
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27:52
Prompt 10. The Profile Audit
"Act as a LinkedIn growth consultant specialising in inbound client acquisition. Audit my entire LinkedIn profile and identify the 10 highest-impact improvements that would increase profile views, inbound enquiries, and client conversion rate.
85 views · 4 likes
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Prompt 9. The Content Strategy Engine
"Based on my expertise in [topic], generate 30 LinkedIn post ideas that attract my ideal clients, build trust, and position me as the authority they want to hire. Include a strong hook for each post and tag whether it's a story, insight,
101 views · 3 likes
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Prompt 8. The Outreach DM
"Write 3 cold LinkedIn DM templates I can send to [ideal client type] at [target companies]. Keep them short, personalised, and focused on their pain points, not my credentials. The goal is to start a conversation, not pitch immediately. No corporate
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Prompt 7. The Featured Section Strategy
"Suggest 5 items I should add to my LinkedIn Featured section to instantly build credibility and trust with potential clients looking for [your service]. Tell me exactly what to feature, what it should say, and why it would move a prospect
59 views · 2 likes
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Prompt 6. The Client Magnet Test
"Roleplay as a decision-maker at [target company] who is actively looking for [your service]. Review my LinkedIn profile and tell me whether you'd reach out or move on. Explain why, and list the 5 biggest reasons my profile is or isn't converting
65 views · 3 likes
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Prompt 5. The Experience Glow-Up
"Rewrite each of my experience entries using the XYZ formula: 'Helped [client type] achieve X by doing Y, resulting in Z.' Add measurable client outcomes where possible. Make every entry read like proof I can deliver results, not just a list of
65 views · 2 likes
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Prompt 4. The Skills + Keywords Audit
"Act as a LinkedIn SEO expert. Based on my target client being [ideal client profile], identify the top 25 keywords they search when looking for someone like me. Tell me which ones are missing from my profile and exactly where to add them
110 views · 1 likes
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Prompt 3. The About Section Rewrite
"Rewrite my LinkedIn About section into a compelling story that hooks potential clients in the first 2 lines. Use the PAS framework (Problem, Agitate, Solution). Write from the client's perspective, make them feel seen, understood, and ready
86 views · 2 likes
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Prompt 1. The Authority Builder
"Analyze my background and rewrite my positioning statement so I stand out as the most credible, trusted expert in [industry] for [ideal client]. Make it memorable, specific, and differentiated from every other [your role] on LinkedIn."
113 views · 3 likes
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Prompt 2. The Headline Fix
"Rewrite my LinkedIn headline so it positions me as the go-to expert for [ideal client] in [industry]. Make it specific, outcome-driven, and impossible to scroll past. Show clearly who I help and what result I deliver. Give me 7 variations to choose
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🚨 BREAKING: I asked Claude to optimize my LinkedIn profile.
The result? It became a client magnet.
Here are the 10 exact prompts I used:
2.8K views · 18 likes
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Against accounts of the same size
19 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.
Median views101this account1 098median for 10K–100K
Reach, %0.12%this account3.91%median for 10K–100K
Engagement, %3.49%this account1.66%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 101 | 1 098 | 0.09× |
| Reach (views ÷ followers) | 0.12% | 3.91% | 0.03× |
| Engagement rate | 3.49% | 1.66% | 2.10× |
Others in this range → Compare with another account → How these benchmarks are built →
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
6531 Aug
65
59
61
101
85
75.4K1 Sep
16
2242 Sep
118
58
2.8K3 Sep
1.8K5 Sep
1.2K7 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
4.62%31 Aug
6.15%
5.08%
4.92%
3.96%
4.71%
0.38%1 Sep
12.50%
0.89%2 Sep
1.69%
3.45%
0.58%3 Sep
1.46%5 Sep
0.58%7 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.
What the audience does
Likes22.5%307 in total
Reposts4.8%66 in total
Replies2.3%31 in total
Quotes0.1%2 in total
Bookmarks70.2%958 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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