Building SpaceNexus: From Idea to Launch in 90 Days

Ninety days. That's how long it took to go from "the space industry needs a Bloomberg Terminal" to a live platform with 10 intelligence modules, 50+ data source integrations, 200+ company profiles, and a functioning marketplace. This is the story of how we built SpaceNexus — the decisions we made, the mistakes we avoided (and the ones we didn't), and what we learned along the way.

We're sharing this in the spirit of building in public, because we believe transparency about the process helps the entire startup ecosystem. If you're building something ambitious, we hope our experience is useful.

Tech Stack Decisions: Why We Chose What We Chose

Every technical decision was made through the lens of one question: what lets a small team move the fastest without accumulating unmanageable technical debt?

Next.js 14 (App Router) was our framework choice. The App Router's server components dramatically simplified our data fetching — most of our modules pull from external APIs, and being able to fetch and render on the server without complex state management libraries was a game-changer. Server Actions reduced the boilerplate for form submissions by 60-70% compared to traditional API routes.

Prisma ORM with PostgreSQL handles our data layer. Prisma's type safety caught dozens of bugs during development that would have been runtime errors with raw SQL. Our schema grew from 5 models to 30+ over the course of development, and Prisma's migration system handled that growth smoothly. PostgreSQL on Railway gave us a managed database with zero operational overhead.

Railway for deployment was a decision we're particularly happy with. Push to the dev branch and the app deploys automatically. No Dockerfiles to maintain, no CI/CD pipelines to debug, no infrastructure to manage. For a small team, this operational simplicity is worth its weight in gold. Our deployment takes about 3 minutes from push to live.

TypeScript everywhere. Not negotiable. In a codebase with 200+ API routes and dozens of data models, type safety isn't a luxury — it's a survival mechanism. TypeScript caught more bugs during development than our test suite did, and that's saying something since we have 80+ tests.

Tailwind CSS for styling. We evaluated component libraries (Shadcn, MUI, Chakra) and decided that Tailwind's utility-first approach gave us the most flexibility with the least overhead. Every component in SpaceNexus is custom-built to our design language.

Technology	Choice	Why
Framework	Next.js 14 (App Router)	Server components, built-in routing, Vercel ecosystem
Database	PostgreSQL + Prisma	Type safety, migrations, managed hosting
Deployment	Railway	Auto-deploy, managed infra, zero DevOps overhead
Language	TypeScript	Type safety across 200+ API routes
Styling	Tailwind CSS	Utility-first, no component library lock-in
Validation	Zod	Runtime type checking, schema-first API design
Testing	Jest	Mature ecosystem, good Next.js integration

The Biggest Challenge: Data Integration at Scale

Building the UI was the easy part. The hard part — the part that consumed roughly 60% of our development time — was integrating 50+ external data sources into a coherent platform.

Here's what makes space industry data integration uniquely challenging:

• No standards: NASA APIs return JSON. CelesTrak serves TLE text files. RSS feeds deliver XML. SAM.gov has a REST API with idiosyncratic pagination. Every data source has its own format, authentication method, rate limits, and reliability characteristics.
• Stale data is dangerous: A satellite position that's 6 hours old is useless for collision avoidance. A launch window that's changed isn't just stale — it's wrong. We built a tiered caching system with different TTLs for different data types: 5 minutes for space weather, 1 hour for news, 24 hours for company profiles.
• APIs go down: Over a 90-day development period, we experienced outages or degraded service from nearly every external API we integrate with. Our circuit breaker pattern (implemented in src/lib/circuit-breaker.ts) prevents cascading failures by falling back to cached data when an upstream service is unavailable.
• Rate limits are real: NASA's DONKI API has generous limits, but SAM.gov throttles aggressively. We implemented per-source rate limiting and request queuing to stay within bounds during our 9 scheduled cron jobs.

The lesson: data integration is the product. For a platform like SpaceNexus, the UI is table stakes. The value is in the data pipeline — fetching, normalizing, caching, and presenting data from dozens of sources as if it all came from one place.

By the Numbers: 90 Days of Building

• 236 total routes (pages + API endpoints)
• 114 files created in the final major release alone
• 50+ external data sources integrated (NASA, NOAA, SAM.gov, CelesTrak, FCC, RSS feeds, and more)
• 200+ company profiles with financial data, satellite assets, and contract history
• 80+ automated tests covering validation, error handling, and business logic
• 30+ Prisma models in our database schema
• 9 cron jobs running on scheduled intervals for data freshness
• 10 major version releases (v0.1 through v1.0)
• 3-minute deployments via Railway auto-deploy

Mistakes We Made (and What We Learned)

Mistake #1: Starting with too many modules. Our initial plan had 44 separate modules. That was far too many — it fragmented the user experience and created maintenance overhead. In v0.7.0, we consolidated to 10 main modules with sub-modules and tab-based merges. The lesson: start with fewer, deeper modules and expand based on user demand.

Mistake #2: Underestimating Windows development quirks. Developing a Node.js application on Windows introduced unexpected challenges — file path separators, case sensitivity differences, and Prisma's query engine DLL locking during schema changes. We learned to always test in the deployment environment early.

Mistake #3: Not implementing structured logging from day one. We started with console.log statements and had to retrofit structured logging (via our custom logger in src/lib/logger.ts) later. Starting with structured logging would have saved debugging time during data integration.

Lesson learned: Security can't wait. We conducted a security audit at v0.9.0 that found critical, high, and medium-severity issues. Fixing them was far more expensive than building security in from the start. CSRF protection, rate limiting, input validation, and HTML sanitization should be in your first commit, not your last.

What's Next for SpaceNexus

We're just getting started. Our roadmap includes:

• AI-powered insights: Using Claude to analyze cross-module data patterns and generate actionable intelligence
• Commercial API: Our v1 API product lets developers integrate SpaceNexus data into their own applications
• Marketplace expansion: Growing our space industry marketplace with more verified providers and AI-assisted procurement matching
• Mobile app: Native mobile experience with offline capabilities and widget support
• Community features: Discussion forums, expert Q&A, and collaborative analysis tools

We'll continue sharing our journey openly. Follow our blog for regular updates on what we're building, why we're building it, and the data behind our decisions.

Join SpaceNexus for free and be part of the platform the space industry has been waiting for.