Run a tech biz
without a burn narrative.

For founders and tiny teams shipping a product — SaaS, civic tech, ops tooling, tech-adjacent services. The goal is not “zero forever.” It’sknown costs, commercial-safe licenses, and AI that doesn’t melt the card.

Pair this with the directory tabsStartup leanandAI & models— limits live there.

  1. 01

    Stay commercial-OK

    Edu licenses (JetBrains Edu, Figma Education, Autodesk, MATLAB Campus-Wide) are for learning. Production for a company — even a tiny one — needs seats and ToS that allow commercial use. Vercel Hobby is the same trap.

  2. 02

    Buy outcomes, not platforms

    Default to Cloudflare + Neon/Turso + Clerk + Resend + R2 + PostHog. Add a hyperscaler only when you have a concrete reason (GPU batch, compliance region, Activate credits that expire).

  3. 03

    AI is a line item — meter it

    Route drafts through cheap/fast models (Groq, Gemini free quota, Workers AI, OpenRouter free models). Keep Claude/GPT on the hard path. Put Langfuse or Helicone in front before the first customer demo so spend is visible.

  4. 04

    Claim startup credits once you are real

    AWS Activate, Google for Startups, Microsoft for Startups — apply when you have incorporation or an accelerator letter. Burn credits on load tests and GPU jobs, not idle VMs.

  5. 05

    Ops stack that doesn't need a COO

    Cal.com for bookings, Linear for issues, Chatwoot/Crisp for support, Lemon Squeezy or Paddle when you sell globally and hate VAT paperwork. Notion Free until SAML is forced on you.

Swap pieces freely. Keep the commercial chip green.

Edge / web
Cloudflare Pages + Workers (commercial OK)
API
Koyeb micro or Workers — skip always-on beef until traffic
DB
Neon or Turso free → paid when storage wakes you up
Auth
Clerk / Kinde free MAU
Email
Resend free → Pro when deliverability matters
Files
R2 — zero egress for user downloads
Jobs
Inngest free steps
Analytics
PostHog free events
LLM gateway
OpenRouter + spend cap · Helicone/Langfuse
Default model
Gemini / Groq / Workers AI for bulk
Frontier model
Claude or GPT only on tool-critical steps
Payments
Lemon Squeezy / Paddle (MoR) or Stripe when ready

Cache & dedupe

Identical prompts should not hit the API twice. Helicone caching or your own KV on R2/Workers buys real money back.

Structured outputs > chat soup

JSON schemas and tool calls fail cheaper than free-form prose you re-parse with another model.

Eval before scale

A 50-row golden set in Langfuse beats vibes. Don't raise temperature and hope.

Human in the loop where liability lives

Tech-adjacent (health, finance, legal-ish ops): AI drafts, humans approve. Cheaper than one incident.

phase 0

Pre-revenue prototype

~$0–30/mo
  • ·Forever-free SaaS only (see directory filters: commercial ok)
  • ·Student Pack if you still qualify — don't put edu tools in prod
  • ·Oracle Always Free or Koyeb micro if you need a long process
phase 1

First paying users

~$30–200/mo
  • ·Turn on spend caps everywhere (OpenAI, Anthropic, OpenRouter, cloud)
  • ·Graduate Resend / Clerk / Neon when free limits page you at night
  • ·Apply Activate / Google for Startups if incorporated
phase 2

Team of 3–10

intentional
  • ·Linear + shared PostHog + one observability bill (Sentry)
  • ·Drop self-host chores that aren't your moat
  • ·Revisit Fly/AWS only with a region or compliance story

Things that look free and then eat the company.