Building with simplicity and scale in mind
We’re building an AI-enabled consumer social product (more coming soon). As we do that, we’ve had to think about tradeoffs – we’re building quickly now to validate but need to make sure what we build is resilient and stays relevant as we expand to more users. Here's our journey and where we landed.
If how we think about tradeoffs resonates with you – or if you’re curious to learn more about what we’re building and learn from a team of experienced consumer builders – let's discuss!
?? Our Tech Philosophy: Effectiveness Over Hype
Simplicity — Users do not care if we run a blazing-fast Kubernetes cluster. They want to use a product that solves their problems.
Scalability — We needed a stack that could grow with us, allowing us to focus on our core value proposition.
Support — As a startup, we need to move fast. Sticking with tech that has good community support helps us grow fast.
???Our Tech Stack: The What and Why
Frontend: React and Next.js
We've chosen React as our primary frontend library, coupled with Next.js for its powerful features:
We're also in the process of migrating to TypeScript, a move that will bring:
For styling, we've embraced Tailwind CSS, allowing for rapid UI development with its utility-first approach. We're implementing best practices like reusable components and standardized class ordering to keep our codebase clean and efficient.
Backend: Firebase and Serverless Architecture
For our backend services, we've chosen Firebase. This decision allows us to focus on building features rather than managing infrastructure. We're utilizing several Firebase services:
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While we're aware of alternatives like Supabase, we found that Firebase's mature ecosystem and tight integration with other Google Cloud services best suited our needs.
Testing and Deployment
As our application has grown, we've recognized the importance of a robust testing strategy. We're focusing on integration tests (Jest) for our backend services, particularly the Firebase Functions. These tests ensure that our core business logic remains solid as we iterate and add new features.
We've embraced a modern, streamlined deployment process:
This setup allows us to iterate quickly and confidently, with the ability to rollback if needed.
Monitoring and Analytics
To ensure we're providing the best experience for our users and to help us make data-driven decisions, we've implemented:
??Lessons Learned
Balance immediate needs with long-term vision —? Quick starts shouldn't compromise future growth potential. For example, we started with JavaScript, but planning TypeScript migration.
What are your thoughts on our approach? Have you faced similar challenges in your projects? Let's discuss this!
Gen AI in R&D @AMEX
6 个月Your philosophy of prioritizing user needs over complex infrastructure resonates with me. I’m curious to learn more about how AI is being integrated into the product. Are you using AI mainly for personalization, user engagement, or perhaps for something more innovative? Also, how do you plan to balance AI model performance with the speed and scalability goals you’ve outlined, especially as the user base grows?