The Man Who Asked "Why Not Finance?"
When ChatGPT arrived and rewrote the rules, everyone rushed to build chatbots for customer service, legal docs, and coding. Huzaifa Zahoor looked at the frenzy, looked at his years writing trading systems and financial data pipelines, and asked a different question: why is no one building this for the stock market?
That question became Meyka AI - an AI-powered stock research platform that gives retail investors the kind of analytical firepower usually locked behind Bloomberg terminals and institutional subscriptions. No paywall. No MBA required. Just intelligence, on demand.
Huzaifa is the technical co-founder. He built the engine. He's the reason Meyka works.
Our goal is to democratize access to sophisticated financial analysis tools and alternative data insights.
- Huzaifa Zahoor, Co-Founder, Meyka AIThe Builder's Origin Story
He comes from Islamabad, Pakistan - a city producing some of the sharpest engineers in South Asia. After studying Computer Science at Capital University of Science & Technology, Huzaifa didn't wait for opportunity to find him. He built a freelance career from scratch in 2021, taking on projects ranging from trading bots to complex ETL pipelines. Five-star reviews on Fiverr. A perfect success rate on Upwork. He was good at this, and he knew it.
By late 2022, the market found him. ML Sense Solutions brought him in as a Senior Software and Data Engineer to optimize pipelines that moved financial data at scale. Around the same time, Million News Media needed someone to actually lead a development team - not just contribute to one. Huzaifa stepped into the Technical Team Lead role, managing five engineers and shipping product.
He was stacking skills deliberately. Backend mastery. Cloud architecture on AWS and GCP. Data engineering at scale with Apache Airflow, Kafka, Snowflake. Machine learning integration. He wasn't preparing for a career. He was preparing for a company.
October 2023: The Founding Moment
Meyka AI launched in October 2023. Huzaifa co-founded it as an Australian proprietary limited company - Meyka AI PTY LTD - which tells you something about his ambition. This isn't a side project registered in a spare bedroom. It's a proper entity, built for global scale, operating between two continents.
What Meyka does is genuinely useful: it processes alternative data, integrates AI language models, and gives users the ability to research stocks the way analysts at hedge funds do - except free. The platform analyzes market signals, watches what institutional players like Vanguard and BlackRock hold, tracks insider trading patterns, and synthesizes it all into something a human can actually use.
The response was immediate. Early users engaged at a rate that proved the concept. Within a year, Meyka was serving 3,000 monthly active users. That's not viral TikTok growth - that's the slow, steady pull of genuine product-market fit. People keep coming back because it works.
1,000 Insider Trades. Zero Guesses.
Huzaifa doesn't just build tools. He uses them. In one of his most-read pieces, he manually tracked one thousand insider trades to find patterns in how corporate executives time their stock moves. The findings were the kind of thing financial journalists spend months chasing - and he published them on Medium for free.
That combination - builder and analyst, engineer and writer - is rarer than it sounds. Most data engineers build pipelines for other people's questions. Huzaifa builds pipelines for his own. His Medium readership crossed 30,000 because he asks the questions readers actually want answered, then shows his work.
One article tracked what Vanguard and BlackRock hold so retail investors can screen stocks by institutional ownership. Another broke down how to build a real-time NYSE chatbot in a few hours. These aren't thought-leadership posts padded to a word count. They're field reports from someone who did the thing.
I already have experience in stock market development, and after ChatGPT emerged, I questioned why no comparable AI system existed for finance.
- Huzaifa ZahoorThe "Not a Designer" Identity
His personal portfolio website carries a tagline that would make most founders flinch: "Backend Dev (not a designer)." He put it there himself, prominently, on purpose.
There's something refreshing about a founder who knows exactly what they are. No personal branding consultants. No carefully managed mystique. Just a clear signal: this person builds the machinery, and they're not apologizing for it. The world has plenty of founders who design beautiful decks and ship nothing. Huzaifa ships.
His schedule reflects this. He blocks client time from 5 AM to 5 PM UTC - a window that spans Pakistan Standard Time and Australian Eastern Time simultaneously. He's not in one place or the other. He's in both, and the work doesn't stop.
- Self-describes as "Backend Dev (not a designer)" - his words, his choice, his brand.
- Works across two continents: Islamabad and Australia, often in the same day.
- Simultaneously integrates Claude (Anthropic), OpenAI, and Gemini in his AI builds.
- Has 840+ followers on Medium and a 5-star rating on Fiverr - two very different leaderboards.
- Available 5 AM to 5 PM UTC. That's commitment with math applied to it.
What He's Actually Building
The stated mission is democratization. That word gets overused to the point of meaninglessness, but here it fits precisely. The gap Huzaifa is closing is real: institutional investors access alternative data, AI-processed market signals, and custom research tools. Retail investors access CNBC and gut feelings.
Meyka AI sits between those two worlds and leans toward the retail side. The platform currently runs free - a deliberate choice to maximize adoption and prove value before monetization. Three thousand users a month, at zero dollars per user, is a statement about priorities: build the user base first, build the business second.
His aspirations are unambiguous. He wants every retail investor - not just the ones with time to read 10-Ks and the budget for premium data subscriptions - to have access to the tools that move markets. It's a leveling project. A technical one, run by someone who has spent four years learning exactly how the plumbing works.
The Writing Life
Between shipping Meyka features and managing the technical roadmap, Huzaifa publishes on Medium with the frequency of someone who thinks in writing. His articles cover Django deployment to Google Cloud Run, Python 3.15 performance gains, AWS credit strategies for AI startups, and the mechanics of building financial chatbots. They're read by developers who want applied knowledge, not theory.
The Medium presence does something else too: it shows the working. Readers who follow Huzaifa's writing understand not just what he builds, but how he thinks about building it. That transparency - code included - is a particular kind of credibility that founder profiles and LinkedIn headlines can't manufacture.
He's not just building for the market. He's building in public.
What's Next
Meyka AI is pre-revenue and post-validation. The next chapter is monetization - likely premium tiers, API access for developers building on top of Meyka's data infrastructure, or institutional licensing. The technical foundations are there: scalable pipelines, alternative data integrations, an AI engine processing non-traditional market signals.
Huzaifa has 25+ public repositories on GitHub, a growing team, and a platform that already has users. The hard part - getting people to care - is done. The interesting part starts now.
He's a Pakistani engineer who built an Australian company to give retail investors everywhere a fair shot. The category doesn't quite exist yet. He's building it anyway.