Continuously growing from nothing to something.
Metaverse
Joined January 2011
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I came across a video where a lady said, men lower their standards for sex but raise their standards for marriage.
Omo!
I’ve been writing a series on my LinkedIn newsletter. I want you to check the latest episode and also check other episodes and give me a feedback
linkedin.com/pulse/offline-p…
Information asymmetry: imagine a salesperson
knows that a product has a serious limitation but deliberately avoids mentioning it.
Àbùdíọ̀kẹ́ retweeted
If two tools in your company only meet in a spreadsheet, the spreadsheet is the product.
The human copying into it is your API.
#operations #integrations #softwareengineering
The gap between traditional learning and industry demands is real.
Most people finish courses knowing theory…
but freeze when faced with a real problem, messy codebase, or deadline.
At NexQuantum Academy we close that gap by focusing on three things:
1. Building real projects from day one
2. Getting direct feedback from people who ship software
3. Learning the habits that actually matter on the job (communication, problem-solving, clean collaboration)
Certificates are nice.
Confidence and competence are better.
If you’re currently feeling that gap, what’s the biggest difference you’ve noticed between what you learned and what the job actually requires?
Reply below — I’m curious.
From zero to job-ready:
A realistic 90-day roadmap for Frontend, Backend, or AI beginners
No fluff. No “learn 15 frameworks.”
Just what actually works.
👇
Àbùdíọ̀kẹ́ retweeted
There are so many careers in tech that it's easy to become overwhelmed before you even begin.
→ Software Development.
→ Data Analytics.
→ Cybersecurity.
→ UI/UX Design.
→ Product Management.
→ Cloud Computing.
Everyone seems to have an opinion about which path you should choose.
The problem is, most of those conversations only tell you what the career is. Very few help you understand what it's actually like to do the work.
We'd like to change that.
Over the next few weeks, we'll take one career at a time and explore it from different angles.
We'll talk about the problems professionals solve, the way they think, the misconceptions people have, and what the work really looks like beyond the job title.
We're starting with Data Analytics.
If you've ever looked at data analytics and thought, "What do data analysts actually do?" or "Is this a career I should consider?" then this week's conversations are for you.
By the end of the week, we hope you'll have a much clearer picture of the role, the opportunities it offers, and whether it's a path you'd genuinely enjoy pursuing.
You don't have to decide today.
Our goal is simply to help you make better decisions by giving you a clearer understanding of the profession.
We'll see you tomorrow as we begin with one of the biggest misconceptions about Data Analytics.
stay tuned - nexquantum.academy
The best developers I know aren’t the ones who know the most frameworks.
They’re the ones who stay curious, ask better questions, and keep shipping even when things feel unclear.
Skill compounds. Ego doesn’t.
What quality do you respect most in great engineers?
Drop it below.
Scaling software is less about fancy tech and more about disciplined thinking.
These principles are exactly how we build at @nexquantum — systems that grow with the business instead of holding it back.
What’s the biggest scaling challenge you’ve faced (or are facing right now)?
Reply below — I read every one.
Last: Ship in small, reversible steps.
Big-bang launches feel exciting.
They are also the riskiest.
I prefer frequent, small releases that can be rolled back quickly.
This keeps the business moving while the system stays stable.
Fourth: Document decisions, not just code.
When the original developer leaves (or even when it’s just you six months later), the “why” disappears.
I keep short decision records:
Why this architecture?
What trade-offs did we accept?
What will we revisit later?
Third: Make observability non-negotiable.
If you can’t see what’s happening in production (logs, metrics, errors, performance), you can’t scale confidently.
I treat monitoring and error tracking as part of the core product — not an afterthought.
Second: Build modular and independent pieces.
Tightly coupled systems feel fast at the beginning.
They become nightmares later.
I design so that one part can change or scale without forcing everything else to break.
Clear boundaries. Clean interfaces. Predictable behaviour.
My first principle:
Clarify the real problem before writing a single line of code.
I always ask:
• What will this system look like in 12–18 months if the business doubles?
• Where will the bottlenecks appear?
• What happens when the team grows and more people touch this code?
This conversation alone saves months of rework.