Series A money buys time. But technical debt burns through it faster than runway.
Post-funding, the product needs to match investor expectations: scalable architecture, team scalability (other developers can work on it), and reliability. The common problem: technical foundations built for MVP don't support the growth phase. What needs to change and how.
Raised a funding round and the technology needs to be brought up to a standard that supports growth — reliability, scalability, team velocity, and investor-level accountability
Post-funding technical work has a checklist:
Reliability:
- Error monitoring (Sentry) — know about bugs before users complain
- Uptime monitoring — alerts when the application is down
- Database backups — automated, tested, point-in-time recovery
- Logging — structured logs with enough context to debug production issues
Performance:
- Load testing — know the current capacity ceiling before traffic spikes hit it
- Database indexing — queries don't degrade as data grows
- Caching strategy — for expensive queries or computation
Scalability:
- Horizontal scaling configuration — can the application run on multiple instances?
- Database connection pooling (Prisma Accelerate, PgBouncer) — handles concurrent load
- Stateless architecture — no in-memory session state that prevents scaling
Codebase quality (for team scalability):
- TypeScript strict mode
- Test coverage on critical paths
- CI/CD pipeline — automated tests on pull requests, automated deployment on merge
- Documentation for onboarding new developers
Security:
- Secrets management (environment variables, not in code)
- Dependency vulnerability scanning
- Rate limiting on public endpoints
The common mistakes:
- Spending all post-funding time on features without addressing reliability
- Not setting up monitoring before the user base grows
- Technical debt compounding as the team grows
Technical foundation that supports the growth phase: scalable data model, clean codebase that a team can work in, monitoring, and infrastructure that handles 10x current load
Monitoring setup
(Sentry, uptime, logging)
Load testing
and bottleneck identification
Database optimization
(indexes, query review, connection pooling)
CI/CD pipeline
(automated testing and deployment)
Infrastructure review
(scaling configuration, backup verification)
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
Technical foundation that supports the growth phase: scalable data model, clean codebase that a team can work in, monitoring, and infrastructure that handles 10x current load
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
Post-funding tech work is an audit-then-scope engagement. Audit the current state, scope the priority fixes, fixed-price the work.
Questions, answered.
Technical debt that slows feature delivery or causes reliability issues is the priority. Technical debt that's "messy but functional" can be paid down over time. Don't rewrite everything; fix the parts that hurt.
Not necessarily. Bringing in a technical consultant or fractional CTO for an architecture review before the full-time hire is often more cost-effective and results in a clearer hiring brief.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.