The average Kenyan Techie:
>Drives a slightly used German car (usually a BMW, Audi, or Mercedes)
>Still flexes about being a strong Java developer
>Hates on the greenhouse that are actually doing good stuff
>Opens every website and immediately clicks Inspect Element
>Spends more time looking for bugs in other people’s work than building his own
>Constantly criticizes other developers’ projects and startups
> They will come under this post and tell me to shut up and show us what you did
>Publicly hates AI and vibe coding
>Secretly uses all AI tools late at night
>Frequently spotted at Java House meetings
>Weekend drives to Limuru while discussing “the tech ecosystem”
>Writes long threads explaining why other people’s projects won’t scale
>Says things like “this architecture is wrong” after looking at a website for 10 seconds
>Has at least 3 unfinished side projects on GitHub
You buy a stock for a quick scalp then it dumps 50%… cos you can’t sell for a loss, you’re become a long-term investor attending AGMs and asking management about their corporate vision.
@Caradvicekenya 2014 Hyundai Santa Fe in excellent condition.
Mileage 88k
7-Seater model
2.4L and 4WD
Full leather seats
One touch panoramic moon roof
Memory seats
19-inch alloy rims w/brand new tires
Auto headlights & wipers
Downhill assist
Ask 2.3
viewing Westlands
0704247846
@itsMwanyasi I doubt there is. You could buy from NSE or Web scrape . Check also on yahoo finance using python library yfinance . I think you could get some there (very few though).
All ML projects which turned into a disaster in my career have a single common point:
🚨 I didn't understand the business context first, got over-excited about the tech, and jumped into coding too early.