Three young Nigerians have built a truly automated customer support product, first of its kind in Africa.
Otonte Briggs, Abdulsolmad Jimoh Abiola and Chukwuebuka Ezeokeke built Swift Agents under SERENDPT AI, a product that does not just answer questions but verifies and resolves customer issues exactly like a human agent would.
They have raised N100 million, and they are coming for a market that Silicon Valley has ignored for too long.
The future of customer support is being built in Nigeria.
Bruh, Nigerians/Africans are cooked bruh, i asked @speedrun 2 questions at their webinar, i got intentionally ignored . Maybe it’s the way i asked the question
Before Elon Musk built rockets, he read every textbook on rocket propulsion ever written.
Not summaries. Not blog posts. Not YouTube videos. The actual textbooks. Cover to cover. Multiple times. Orbital mechanics. Propulsion physics. Materials science. Structural engineering. Aerospace manufacturing.
He did this while running two other companies.
When he walked into meetings with aerospace engineers in the early days of SpaceX, they expected a tech billionaire who would nod along and sign checks. Instead he asked questions so specific they assumed he had a PhD in the field. He didn't. He had a library card and an obsession.
This is the part of the Musk story that nobody wants to hear because it's not glamorous.
The rockets are glamorous. The Tesla reveal is glamorous. The Mars vision is glamorous. Sitting alone in a room reading a 600 page textbook on orbital mechanics at midnight is not glamorous. But it's the actual foundation of everything else.
Most people who want to "be like Musk" study his habits. His schedule. His management style. His tweets. They skip the reading because reading is boring and doesn't look good on social media.
Musk reads 5 to 10 hours a day. He has done this since childhood. His brother Kimbal said he would read two books a day as a kid. Not children's books. Encyclopedias. Science textbooks. Science fiction. History.
By the time he was 20 he had read more books than most people read in a lifetime. By 30 he had absorbed the foundational knowledge of four or five separate industries. By 40 he could hold his own with the world's top experts in rockets, batteries, AI, tunneling, neuroscience, and manufacturing.
This is not genius. This is volume.
The reason most experts can't do what Musk does is not intelligence. It's that they read deeply in one field and broadly in none. They know everything about their domain and nothing about any other. Musk reads deeply across six domains which means he sees connections that single domain experts can never see.
Battery chemistry from Tesla applied to energy storage. Manufacturing techniques from automotive applied to rocket production. Software architecture from PayPal applied to vehicle autonomy. AI research from xAI applied to robotics. Each domain feeds every other domain because one person holds all the knowledge simultaneously.
This is the real superpower. Not IQ. Not work ethic. Not risk tolerance. Cross domain knowledge accumulated through thousands of hours of reading that nobody sees and nobody talks about because it's not exciting content.
I started reading seriously two years ago. Not scrolling articles. Reading actual books and technical material for hours. The difference in pattern recognition after 6 months was noticeable. After 12 months it was dramatic. Ideas from one domain started solving problems in completely different domains.
The secret to Musk isn't in his tweets or his rockets or his schedule.
It's in the thousands of books nobody saw him read before any of it existed.
Reading is the most underpriced asset in the world. Unlimited knowledge, zero cost, available to anyone.
Almost nobody uses it.
I’m Oteyola Dunsin, backend engineer & founder of SmartCBT. I'm building infrastructure for computer-based exams in secondary schools.
We just won a ₦50M grant, selected among 40 startups from over 30,000 applicants (~0.13%).
Let’s build 🚀
#SVCG@NigEducation@NesriNigeria
Meta should throw away their open source efforts, focus on creating the best proprietary model and then distil from that just like what Google is doing for Gemini/gemma.
Meta should be leading right next to Google in models, they have the talent, money, scale and data. It’s sad.
I’m excited to share that I’ve been selected as one of the final 65 candidates for the
Student Venture Capital Grant (SVCG)!
I’ll be attending the upcoming #SVCGBootcamp, where student innovators from across
Nigeria will develop and pitch their ideas.