You Can't Do Everything Yourself
Looking back at my journey building ParkingPoint solo in London, and the hard lesson that every founder needs to learn about team building and focus.
Looking back at my time building ParkingPoint—a peer-to-peer parking marketplace in London—one fundamental lesson stands out above all others: you cannot do everything yourself. It is a straightforward truth, yet it remains one of the hardest lessons for technical solo founders to internalize.
The Beginning
Back in 2015, I launched ParkingPoint with a clear vision: connecting London drivers who needed parking spaces with property owners whose driveways and garages sat empty. Armed with technical enthusiasm and energy, I set out to build every facet of the enterprise from scratch. The branding, the application code, the server infrastructure, the customer support queue, the payment integrations—I was determined to handle it all single-handedly.
Wearing Every Hat Simultaneously
In the early days, every day was a demanding juggling act:
- Morning: Diagnosing database queries and fixing CSS bugs.
- Midday: Answering customer support inquiries and reassuring drivers.
- Evening: Deploying server updates and monitoring server uptime.
- Late Night: Managing accounts, invoicing space owners, and planning digital marketing.
We secured support through Microsoft BizSpark for cloud infrastructure and established an affiliate partnership with Parklet.co.uk to drive booking inventory. But at the end of every exhausting week, the underlying reality remained unchanged: it was still a one-person operation attempting to manage an enterprise that naturally required five different specialties.
The Reality Check
For several years I pushed forward, determined that technical stamina alone could carry the business. The platform functioned reliably, real bookings were processed, and space owners were earning money. But something eventually had to give. Without external venture investment and with the mounting operational overhead of solo execution, the ceiling became undeniable: solo bootstrapping at this scope is rarely sustainable.
Hard-Won Lessons
Looking back with perspective, several truths became abundantly clear:
- Engineering Velocity Is Not Business Traction: Clean code and elegant databases mean very little if no one is running focused customer acquisition campaigns.
- Support Is a Full-Time Discipline: Managing customer service while simultaneously trying to write complex code fractures deep focus.
- Co-Founders Multiply Resilience: A diverse founding team balances technical execution with marketing, operations, and capital raising.
The Myth of the Solo Founder
Tech folklore often romanticizes the solitary visionary coding away in a room and building a billion-dollar empire overnight. In truth, almost every enduring enterprise is the product of a balanced team possessing complementary skill sets. Acknowledging that you cannot excel at engineering, sales, design, legal, and finance simultaneously is not an admission of weakness—it is pragmatic wisdom.
Conclusion & Looking Forward
While ParkingPoint did not grow into the dominant national parking operator, the operational lessons I gained from building it were invaluable. Sometimes the most enduring outcome of a venture is not the software itself, but the maturity, humility, and strategic clarity gained from the journey.
If there is one piece of advice I would offer to engineers contemplating their own entrepreneurial leap: start with a team, or at least a concrete roadmap to build one. Build what you excel at, and surround yourself with talented people who excel at everything else.
Ersin Demirtas
Software Engineer based in London, UK. Building web applications, APIs, and tools with Laravel, TypeScript, React, and Next.js.
Related Articles
Efficient AI: Local LoRA Training and Cloudflare Deployment
Feb 4, 2026 —Discover how to train custom AI models locally without breaking the bank using LoRA, and deploy them serverless with Cloudflare Workers AI.
Vector Databases vs Traditional Databases
Feb 4, 2026 —As artificial intelligence reshapes software architecture, explore the foundational differences between vector databases and traditional SQL/NoSQL storage engines.