SaaS founders by stage

SaaS engineering from bootstrapped to Series A

Applications $3,499-$4,500/mo or Fractional CTO $4,500-$8,500/mo. Senior engineer with Cuez (Series A SaaS, API 10x) and Instill (bootstrapped SaaS) experience.

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Starting at from $3,499/mo · monthly subscription

Who this is for

SaaS founder at any stage, from bootstrapped through Series A.

The pain today

  • Multi-tenancy, billing, and scale each need senior judgment.
  • The roadmap outgrows the solo founder or the 2-3 engineer team.
  • Every SaaS contractor profile is thin on real SaaS-scale credits.
  • Billing plumbing breaks revenue if it goes wrong.

The outcome you get

  • A senior engineer with real SaaS shipping credits.
  • Multi-tenancy, billing, and scale patterns that survive the next round.
  • Work Made for Hire on every module.
  • Month-to-month retainer aligned to SaaS cash flow.

SaaS engineering specifics

SaaS engineering has three recurring trouble spots: multi-tenancy (data isolation, performance at scale), billing (subscription math, proration, dunning, tax), and scale (database, cache, queue design that does not collapse at 10x users). I have shipped all three. Cuez (Series A SaaS) dropped API response from 3 seconds to 300ms while scaling users. Instill (bootstrapped SaaS) handles multi-tenancy with 30+ active users, 1,000+ skills saved, 45+ projects. The patterns translate across SaaS verticals. The difference is scope and scale, not substance.

Billing, multi-tenancy, scale

Billing: I have shipped Stripe, LemonSqueezy, Paddle, and custom billing systems. Subscription, usage-based, metered, tiered, annual-with-monthly-accounting. Multi-tenancy: shared-schema with tenant_id discipline, isolated-schema for high-isolation customers, and hybrid for cost-sensitive verticals. Scale: database index strategy, query optimization (the Cuez 10x pattern), Redis cache layer, background job queues (BullMQ, SQS, Laravel Horizon). These are the SaaS-specific patterns that a generalist contractor typically lacks.

The two SaaS case studies

Two SaaS case studies. Cuez by Tinkerlist (Series A SaaS, broadcast/live-event industry): API 3 seconds to 300ms (10x faster), approximately 40% infrastructure cost reduction. Stack: Laravel, Vue.js, TypeScript, AWS, FFMPEG. Instill (bootstrapped, self-initiated): 30+ active users, 1,000+ skills saved, 45+ projects powered. Stack: Next.js 16, React 19, TypeScript, PostgreSQL, Vercel, MCP Protocol. Both cases represent different SaaS scale points and different service combinations.

Stage-by-stage service match

Bootstrapped SaaS ($10k-$40k MRR): Applications Standard $3,499/mo. Seed SaaS: Applications Pro $4,500/mo, or add AI Automation at $3,000/mo. Series A SaaS: Applications Pro $4,500/mo plus Fractional CTO at $4,500 or $8,500/mo. Each stage gets a different service match based on the velocity and leverage needs. I can map your stage to the right service on a 30-minute call.

Recent proof

A comparable engagement, delivered and documented.

API Performance Optimization

Rescued a slow API that was blocking user growth

Refactored the backend architecture, making the system far more responsive and scalable for the growing user base.

SaaS10x faster API40% infra savingsGrowth unblocked
Read the case study

Frequently asked questions

The questions prospects ask before they book.

Do you work on all SaaS stacks?
Next.js, React, Vue, Laravel, NestJS, Node, TypeScript. Not Rails, Django, Go, or .NET.
Can you help with pricing and billing strategy?
I help with the engineering side of billing (subscription, usage, proration). Pricing strategy belongs to a revenue consultant.
What if our multi-tenancy is already wrong?
Common problem. I have untangled multi-tenancy at several SaaS startups. The fix is usually a phased migration, not a rewrite.
Can you optimize our database at Cuez scale?
Yes. The 10x Cuez API pattern is Postgres index strategy, query optimization, and Redis caching. Same playbook applies to most SaaS databases.
What's the typical SaaS engagement length?
6-18 months. Most SaaS engagements run long enough to ship a feature area, then scale down to maintenance or off.
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Available for new projects