OyeLabs

 The freelance economy has become one of the most powerful shifts in the modern workforce. Millions of professionals now choose flexible work over traditional employment, while businesses increasingly rely on freelance talent to scale faster and operate globally. Platforms such as Upwork and Fiverr have fueled this transformation, yet their growth also highlights challenges that future marketplaces must address. High fees, complex user experiences, and limited trust measures often leave both freelancers and clients searching for better solutions. As competition grows, the future of freelance marketplaces will depend on building transparency, reducing friction, and creating models that serve the interests of both sides equally. In this blog, we will explore lessons from Upwork’s journey, examine how its strategies shaped the industry, and look ahead to the emerging trends that will define the next decade of freelancing. For startup founders, these insights provide a clear directio...

  For startup founders, this shift signals opportunity. Customers are seeking greater transparency, flexibility, and fairness. If you’re planning to   launch a ride-hailing app in 2025 , simply copying Uber won’t cut it. You need to rethink the model and adopt a disruptive approach just as InDriver did. Press enter or click to view image in full size In this guide, we’ll walk through everything you need to know: business model insights, must-have features, tech stack, compliance, costs, and scaling strategies. By the end, you’ll have a founder-focused roadmap to creating a ride-hailing app that doesn’t just enter the market it changes it. Understand the InDriver Model Most ride hailing apps are built on a fixed fare system where an algorithm decides the price of every ride. Passengers usually have no control, and drivers are left to accept the fare regardless of whether it feels fair to them. This is where InDriver introduced a new way of thinking. Instead of algorithm control...

 Too many marketplace startups race to launch—only to hit a wall of user complaints, payment bugs, or complete silence. The fix? Beta testing your platform like your business depends on it . Because it does. If you're building a gig app like TaskRabbit , the most dangerous assumption you can make is that everything works just because it worked in staging. Beta testing simulates the chaos of the real world , and no spreadsheet or prototype can substitute for that. Let’s explore the right way to test your platform— before you go live. Why Beta Testing Isn’t Just About Finding Bugs Most founders reduce beta testing to a bug hunt. But that’s only a fraction of its value. Smart beta tests give you: Real feedback on task flows and user psychology Metrics that tell you if your monetization logic actually works Insight into AI automations (task matching, fraud detection) that need real data to improve If you're planning to build a profitable marketplace platform , you...

 If you’re building a vacation rental platform , one of the earliest (and most debated) decisions you’ll face is this: Should we build a web app or a native mobile app first? It’s a question that seems simple on the surface. But the answer can shape your entire product journey, user adoption, budget spend, and long-term scalability. In this article, we’re diving into the real differences between web apps and native apps for vacation rental businesses , the trade-offs that matter in 2025, and how to choose the right path for your launch. Let’s unpack it. The Rise of Tech-First Vacation Rentals The vacation rental market like Airbnb , Vrbo, and Booking.com. But today’s users expect more than just a list of properties. They want personalized search results, lightning-fast booking, seamless payment options, and instant host communication. And if you’re launching your own platform, your technology stack needs to deliver all of this across devices. This is where the web vs. native ...

  The on-demand economy isn’t slowing down, and apps like TaskRabbit are proof of just how far we’ve come from phone books and flyers. But now, a new wave is transforming   Taskrabbit like platforms: AI and automation . From smarter task matching to real-time scheduling, artificial intelligence is no longer a “nice to have” — it’s the core engine behind efficiency, personalization, and scale. If you’re building (or planning to build)  an on-demand service app , this post breaks down exactly how AI and automation can change your product and what it takes to integrate them the right way. Why TaskRabbit-like Apps Need AI Now More Than Ever At first glance,  TaskRabbit  is simple: users post a task, someone picks it up, and the job gets done. But behind the scenes, it’s a logistical puzzle. Think about it: Dozens of users posting tasks every hour Thousands of service providers with different skills, schedules, and ratings Real-time availability, dynamic pricing, and...