We did $100k in revenue after realizing that our customers hate software.
Our first product was an AI accounting tool for CFOs. I did 35 sales calls and got $0.
So we switched to being a service.
The pitch became: "We're an outsourced accounting firm that's faster/cheaper with AI"
Then our calls started to convert.
As founders, we naturally obsess over features and tech because that’s what we do.
But REAL customers don't care. They only want their problem solved (bonus points if they don't have to use the tool) in a fast, simple way.
Just sell the outcome.
I learnt about this in my Business analytics degree and I’m going to break it down for you.
Temu isn’t shipping your order from a factory in Shenzhen the moment you tap “buy.” They moved away from that model a while back. What they run now is a demand forecasting operation: they collect order data by region, figure out which products people in, say, Yaba or Lekki keep buying, then ship bulk quantities of those products to fulfilment warehouses already inside the UK or US. Your order never left the country. It was already sitting in a warehouse 40 miles from you before you even opened the app.
This is standard supply chain logic. Amazon has been doing it for years. What makes Temu interesting is how aggressively they’re applying it at scale. They’re working backwards from purchase history, search behaviour, and even abandoned carts to predict what needs to be stocked where, weeks before the demand actually lands. By the time you order a #5000 phone stand at 11pm on a Saturday, there’s a reasonable chance 200 of those phone stands are already in a depot near you because the data said they would move in your postcode cluster this weekend.
It’s called inventory pre-positioning, and the predictive layer underneath it is machine learning working on millions of rows of transaction data daily.
The “made in China” framing still applies to where the product was manufactured. That part’s accurate. But manufacturing and fulfilment are two completely separate steps, and people keep conflating them.
What Temu figured out is that fast delivery is a conversion driver, so they invested in the forecasting infrastructure to make it possible without eating the cost of next-day air freight on every order. The warehouse does the work. The algorithm fills the warehouse.
I’m @jalaal_tweets, you’ll learn more about Data and Ai fluency if you follow me.
life hacks every man should learn and do at least once a year
1. wake up early on a saturday and take yourself out for breakfast. dress clean, smell good, go somewhere calm and order a proper meal. no rush, no pressure. just sit, eat slowly and enjoy the moment. take a few selfies too even if you usually don’t.
2. book a decent hotel room in your city for one night. nothing too expensive, just comfortable. carry a small bag like you’re escaping life for a bit. order food, take a long shower, put your phone away for some time and rest properly. learn that peace is the luxury.
3. take yourself to the cinema alone. buy popcorn. pick the exact seat you actually want. think deeply, laugh hard, cry if you need to, feel whatever you feel, no one talking to you. just you and the movie.
4. go to a café on a weekday, order a drink and a small pastry. sit by the window and face your phone down for a bit. watch people going to work, students rushing, cars passing, birds singing, children playing, just life moving in that pace.
5. take yourself somewhere peaceful outdoors. maybe a park, a quiet road, a waterfront or anywhere with fresh air. walk slowly with music in your ears or just enjoy the silence. clear your head a little.
6. learn to genuinely enjoy your own company, brother. if you can be happy alone, you become harder to break, harder to pressure and harder to control.
7. enjoy yourself man. come on, you need it, you deserve it.
save and bookmark this
share to men who needs the reminder
buena suerte 👍
I have developed a rule of thumb for when it's best to code by hand.
If I don't understand the problem super well, I'll start digging in with an agent and gaining familiarity.
However, if after 10-15 minutes of prompting, the solution isn't something that I feel I could implement myself, it's time to go do it by hand.
I do it the way I did pre-AI. Finding the relevant code, reading and understanding it, and trying out various ideas.
Usually when I'm about 30-50% done, the system is mapped out really well in my mind, and all that remains is execution.
Then I'll write up a detailed spec and ask the agent for feedback. It almost always finds edge cases I didn't consider and "gets" where I'm going with it. I let the agent take it forward and also have it do the things I usually don't have patience for, like TDD and running all the tests and whatnot. The grunt work.
What's nice is that I am fully qualified to review the code afterward and, not only that, any future agentic work on that system is easier. I understand it better because I did the manual work.
It's still really fast and it makes future work faster. It's this kind of hybrid human + agent workflow that makes me feel superhuman.