Freddie (Faham) Nazir — CEO @ Divogue | Your Hiring Headache Ends Here 🚀 | Helping Founders Hire AI-Fluent Engineers in 48 hours
CEO @ Divogue | Your Hiring Headache Ends Here 🚀 | Helping Founders Hire AI-Fluent Engineers in 48 hours
Freddie (Faham) Nazir ranks #566 of 18,566 LinkedIn creators in Computer Software, and is a standout voice in United States. They have 13.1K followers and published 24 posts in the last 60 days at a 0.4% average engagement rate.
- 13.1K followers
- 24 posts / 60d
- 0.4% avg engagement
- 157 follower growth / 30d
The roast
Freddie’s hiring headache ends here because he’s spent 14 posts this month ensuring nobody wants the job. Divogue sounds less like a software company and more like a prescription for a mild antidepressant.
About Freddie (Faham)
Most companies don't have a talent problem. They have a speed problem. They're still hiring like it's 2022 — 15 interviews, three months, and a résumé that tells you almost nothing about whether someone can actually ship in an AI-first codebase. That's the gap I built Divogue to close. We place AI-fluent software engineers — people who use Cursor, Claude, and Copilot every day and outproduce teams five times their size. Not developers who watched a ChatGPT tutorial. Engineers who've hit the wall where the demo works but production doesn't, and climbed it anyway. What that looks like for you: • Sub-14-day placement — you interview one pre-vetted person, not fifteen • Roughly half the cost of a US hire, without the offshore headaches • Engineers embedded in your standups from day one — teammates, not vendors • No deposit, no risk I've spent years on both sides of the technical hiring hype cycle. What I've learned: the best engineers aren't the most experienced anymore — they're the ones who turned AI into a second pair of hands. We screen for exactly that. If you're building a team right now and tired of filling seats instead of solving problems, let's talk. 📩 DM me or reach me at [Freddie@divogue.net/https://calendly.com/freddie4944]
Highlights
- Top 5% in Computer Software — Ranked #116 of 4742 creators
- Top 5% Creator — 24 posts in 30 days
- Top 5% in United States — Ranked #226 of 5851 creators
- Top 25% Audience — 13,140 followers
Recent posts
AI is making average engineers look exceptional before production exposes them. As a non-technical founder running an engineering company, I’ve interviewed and worked with many developers. A few years ago, a polished demo was impressive. Today, almost anyone can open Cursor or Claude and build something that looks production-ready. The interface works. The code runs. The presentation looks convincing. But underneath it, there may be poor architecture, security gaps, unnecessary complexity, and decisions nobody can properly explain. AI has changed where the real value sits: -Writing code
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Engineering hiring is shifting. 3 to 5 years from now, most technical interviews won't test coding. They'll test judgment. The engineers who survive this decade won't be the ones who memorized algorithms. They'll be the ones who know what NOT to build. The uncomfortable truth: AI is making code abundant. When anyone can generate a working feature in minutes, writing code stops being a competitive advantage. Taste becomes the advantage. Yet most companies still filter talent like it's 2015: -Whiteboard algorithms nobody uses on the job -Years of experience as a proxy for skill -Location a
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Your “10 years of experience” requirement just filtered out your best candidate. I reviewed 200+ engineering CVs last quarter. The pattern is uncomfortable: The engineers shipping fastest right now aren’t the ones with the longest CVs. They’re the ones who rebuilt their workflow around AI tools in the last 18 months. And here’s what nobody wants to say out loud: A 4-year engineer using Cursor, Claude, and Copilot daily is outperforming 12-year engineers who still treat AI as autocomplete. Not “almost as good.” Outperforming. Because “years of experience” was always a proxy. It measured:
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Last updated 2026-08-01