Imed Radhouani

At Rankfender, we actually use both—they complement each other rather than compete. Here's why: Why React? Component reusability. We built a dashboard with complex data tables, real-time AI answer updates, and charting libraries. React's component model keeps this maintainable as we scale. Ecosystem. React Query for data fetching, Recharts for visualizations, React Router for navigation—the ecosystem is unmatched. Developer experience. Fast refresh, hooks, and a massive community mean we ship faster. Why Tailwind CSS? Speed. No jumping between files to write CSS. We style components inline and move on. Consistency. Utility classes enforce design tokens—spacing, colors, typography—across the entire app. Bundle size. PurgeCSS removes unused styles automatically. Our CSS stays lean even as the UI grows. The combo: React handles the heavy lifting (state, logic, API calls). Tailwind makes it look good—fast. For Rankfender, that meant shipping a polished dashboard in weeks, not months.

We chose Stripe over alternatives for a few key reasons: Developer experience first. Stripe's APIs are best-in-class—clean documentation, webhooks that just work, and seamless testing environments . For Rankfender, where we needed custom subscription logic and marketplace-style payouts down the road, that developer ergonomics mattered. Global reach out of the box. 135+ currencies, 100+ payment methods, and acquiring in 30+ countries . As we scale to agencies worldwide, we didn't want to stitch together multiple payment providers per region. Modular but unified. Unlike Adyen (enterprise-focused) or Braintree (PayPal ecosystem), Stripe hits the sweet spot—simple to start, infinitely customizable as we grow . Radar for fraud, Tax for compliance, Connect for platforms—all under one roof. Pricing transparency. 2.9% + $0.30 domestic, no monthly minimums . No interchange-plus complexity or volume requirements like Adyen demands . For a startup, predictable costs beat "maybe cheaper at scale." Ecosystem trust. Companies like Mozilla, GitHub, and 1Password run on Stripe . When we're handling client money, that institutionally matters.

We chose Mistral AI over Claude for a few specific reasons: Speed first. Mistral Small 3.1 delivers 150 tokens/second inference speed . For Rankfender, where we're constantly scanning AI answers in real-time, that low latency matters. Claude Haiku 4.5 is fast too, but Mistral's architecture felt more optimized for our use case. Open-weight flexibility. Mistral releases under Apache 2.0 . We can self-host if needed, fine-tune for specialized domains, and avoid vendor lock-in. Claude is proprietary—great model, but you're tied to Anthropic's infrastructure. Cost efficiency. At $0.50/$1.50 per million tokens , Mistral competes well on price. For a startup processing thousands of queries daily, those margins add up. European alignment. As a company building for global agencies, having a strong EU-based AI provider felt strategically smart—especially with evolving regulations. Claude's Sonnet 4.5 is arguably more powerful for complex reasoning , but for our specific needs—speed, flexibility, cost—Mistral was the better fit.

Hey everyone! 👋 Founder here again. Great question about the backend stack! We chose Supabase for Rankfender after evaluating all four options, and here's why: 1. PostgreSQL from day one. Unlike Convex (NoSQL) or Appwrite (document-based), Supabase gives us full SQL power with ACID compliance . For a data-heavy platform tracking AI answers and keyword performance, we needed relational integrity and complex queries—Postgres delivers that out of the box . 2. Open-source = no vendor lock-in. Railway is great for deployment flexibility, but it's more of a PaaS than a full BaaS—we'd have to build auth, storage, and realtime ourselves . Supabase gives us the "batteries-included" backend (auth, realtime, storage, edge functions) and we can self-host if needed . That matters for enterprise clients down the road. 3. Real-time capabilities. We monitor AI-generated answers as they appear—that requires live data sync. Supabase's real-time subscriptions (built on Postgres logical replication) give us this without extra infrastructure . 4. Growing ecosystem. With customers like Mozilla, GitHub, and 1Password using it , we knew Supabase could scale with us. The branching feature integrated with Git is also a lifesaver for our development workflow . Why not the others? Railway: Too low-level. We'd spend weeks building auth and storage instead of focusing on AI visibility features. Convex: Great for real-time apps, but the NoSQL model and less mature auth meant more complexity for our relational data . Appwrite: Solid option, but the document database approach didn't fit our SQL-heavy needs, and real-time felt less battle-tested . At the end of the day, Supabase hit the sweet spot: PostgreSQL power + Firebase-like speed + open-source flexibility. It let us build fast without painting ourselves into a corner. 🚀 Happy to dive deeper if anyone has follow-up questions!