World Greatest!!!🇨🇦

Building @Payhankey @freebyzHQ

[World Greatest!!!🇨🇦 @solandow]

@Sikowitz17 Leeds

[World Greatest!!!🇨🇦 @solandow]

@AsakyGRN Hmm...oga oo

[Annie Valea @Annie46675]

Please don’t drink and drive

[Dr. God Abeg ooo @josh_uglyasf]

One goal, ten celebrations 🤣🤣🤣

[World Greatest!!!🇨🇦 @solandow]

@danielholkss @SpecialObim Omo, you dey para oo 🤣🤣🤣

I like it sha

[Samantha Casseus @samcasseusdev]

Looking for my next Senior Software Engineering role (Remote or in the Houston, TX area).

This community always shows up for me, and I’m so appreciative of it ♥️. If you know of any open positions or teams hiring, I'd love any leads or introductions. Thank you in advance!
#Tech

[Math Files @Math_files]

Pythagoras of Samos (569 BC) said:
a² + b² = c²

[Chutki Chaiwali🇮🇳 @Chai_Angelic]

Whoever made this little angel smile today, thank you for your kindness. 🥹👼❤️

[Teta Ella @Teta__Ella]

27 June, 2026. baby Just Born

[World Greatest!!!🇨🇦 @solandow]

@onayinka_segun Amen 🙏

[👑S.A.L.A.K.O🕊 @UnkleAyo]

There's the insane belief you'll have in yourself, that as you are going through your hard times - you'd be taking pictures and videos.

Because e too sure for you say, one day everything go blend.

[World Greatest!!!🇨🇦 @solandow]

@madison982599 The kind of life I’ll start living

[Michael Taiwo @AskMichaelTaiwo]

This is one of those interview questions that separates people who use software from people who understand it.

Most candidates freeze here because they think about scale the wrong way.

They picture a database with billions of rows and assume the check is scanning through all of them... but that's not how it works at all.

The answer lives in a data structure called a hash table.

When you store a username, you don't file it in a sorted list you have to walk through.

You run it through a hash function, which converts that string into a fixed-size index almost instantly.

So when you type a new username, the system hashes it, goes directly to that memory location, and checks: is anything here?

One operation. Constant time. Doesn't matter if there are a million users or a billion.

But there's a second layer most people miss.

At Google's scale, usernames aren't sitting in one database on one server.

They're distributed across many nodes, and frequently cached in fast in-memory stores so the lookup doesn't even need to travel to persistent storage at all.

The UI fires the check asynchronously as you type, and the response comes back before your brain has registered it as a "request."

So the real answer to the interviewer is this: hash-based lookups give you O(1) time complexity, distributed architecture gives you availability, and in-memory caching gives you the speed that makes it feel instant.

Three layers working together is what makes the magic look effortless.

[World Greatest!!!🇨🇦 @solandow]

@abolorreeeee This is no brainer nah, should be a standard

[World Greatest!!!🇨🇦 @solandow]

@Akintola_steve Side effects, which are?

[World Greatest!!!🇨🇦 @solandow]

@TosinOlugbenga Really cool framework

[World Greatest!!!🇨🇦 @solandow]

@Irem__Victor @TosinOlugbenga *forget

[World Greatest!!!🇨🇦 @solandow]

@Irem__Victor @TosinOlugbenga Yeah, we made the money back in few days, but that was an experience I won’t forgot easily.