checklists / launch-ready

Launch Ready API security Checklist for paid acquisition funnel: Ready for handover to a small team in mobile-first apps?.

When I say 'ready' for a paid acquisition funnel, I mean this: a small team can take over the app without breaking onboarding, leaking secrets, or losing...

Launch Ready API security Checklist for paid acquisition funnel: Ready for handover to a small team in mobile-first apps?

When I say "ready" for a paid acquisition funnel, I mean this: a small team can take over the app without breaking onboarding, leaking secrets, or losing paid traffic to avoidable infrastructure mistakes.

For a mobile-first app, that means the funnel works on slow phones, flaky networks, and high-intent traffic from ads. It also means the API is not just "up", but protected enough that one bad endpoint, one exposed token, or one misconfigured redirect does not turn ad spend into support tickets and downtime.

If you want a self-assessment, use this rule: if any of the core checks below fail, the product is not handover-ready. In practice, I want to see zero exposed secrets, SPF/DKIM/DMARC passing, p95 API latency under 500ms for the main funnel calls, and no critical auth bypasses before I sign off on launch.

Quick Scorecard

| Check | Pass criteria | Why it matters | What breaks if it fails | |---|---|---|---| | HTTPS everywhere | All production traffic redirects to SSL with no mixed content | Protects login and checkout data | Browser warnings, failed auth flows | | DNS and subdomains | Root domain, app domain, API domain, and redirect rules resolve correctly | Keeps ads and deep links working | Broken landing pages and lost conversions | | Auth boundaries | Protected endpoints reject unauthenticated and cross-user access | Stops account takeover and data leaks | Exposed customer records | | Secrets handling | Zero secrets in code, logs, CI output, or client bundles | Prevents credential theft | Full compromise of third-party services | | Email authentication | SPF, DKIM, and DMARC all pass | Protects deliverability for OTPs and receipts | Emails land in spam or fail outright | | Rate limiting | Login, signup, OTP, and reset endpoints are rate limited | Reduces abuse and brute force attempts | Fraud spikes and account lockouts | | Input validation | All API inputs are validated server-side | Blocks injection and malformed payloads | Crashes, bad data, security bugs | | CORS policy | Only approved origins can call sensitive APIs | Prevents browser-based abuse | Token theft or unauthorized requests | | Monitoring | Uptime alerts and error tracking are active before launch | Shortens incident response time | Slow outages become expensive outages | | Handover docs | Small team has runbooks, env vars list, and rollback steps | Enables safe ownership transfer | Delays, guesswork, repeated incidents |

The Checks I Would Run First

1. Public surface scan Signal: I can enumerate every live domain, subdomain, API host, redirect target, and asset origin used by the funnel.

Tool or method: DNS lookup, browser dev tools network tab, Cloudflare dashboard review, and a quick crawl of the landing page plus app routes.

Fix path: I remove stale subdomains first because they are a common attack path after teams ship fast. Then I lock redirects to approved destinations only and make sure every public host has SSL enabled.

2. Secret exposure audit Signal: No API keys, JWT signing secrets, email credentials, webhook secrets, or third-party tokens appear in source code or frontend bundles.

Tool or method: Search repo history plus current codebase with secret scanners such as GitHub secret scanning or TruffleHog. I also inspect environment variable usage in build logs and deployment settings.

Fix path: If a secret has ever been committed publicly or pushed into client-side code, I rotate it immediately. Then I move all sensitive config into server-side environment variables only.

A simple pattern should look like this:

## Server-side only
API_KEY=...
JWT_SECRET=...
NEXT_PUBLIC_API_URL=https://api.example.com

If anything sensitive starts with `NEXT_PUBLIC_` or equivalent client-facing prefix by mistake, I treat that as an incident.

3. Auth bypass test Signal: Protected endpoints return 401 or 403 when called without valid session context or when another user's ID is swapped into the request.

Tool or method: Postman or Insomnia plus a few manual tampering tests against profile update, payment initiation, referral crediting, order lookup, and OTP verification endpoints.

Fix path: I enforce authorization on the server for every object access. The rule is simple: never trust user IDs from the client unless they are checked against the authenticated principal on the backend.

4. Rate limit and abuse check Signal: Repeated login attempts, OTP requests, password resets, form submissions, and invite sends are throttled with clear limits.

Tool or method: Load testing with k6 or simple scripted requests against critical endpoints from one IP and multiple IPs.

Fix path: I add per-IP plus per-account limits where it matters most. For paid acquisition funnels this usually means signup burst control at 5-10 requests per minute per identity class on sensitive routes.

5. Email deliverability check Signal: SPF passes for sending domains; DKIM signs outbound mail; DMARC is set to at least `p=quarantine` during launch prep; OTPs arrive reliably on Gmail and Outlook.

Tool or method: DNS record inspection plus test sends to real inboxes.

Fix path: If email auth is missing or broken now that is not a minor issue. It means password resets fail silently and users blame your app when the real problem is deliverability collapse.

6. Performance under mobile conditions Signal: Main funnel pages load fast on mid-range phones with weak networks; LCP stays under 2.5s on key landing pages; p95 API latency stays under 500ms for core flows like signup and checkout initiation.

Tool or method: Lighthouse mobile audit plus real device testing on throttled network profiles. For backend timing I check logs/APM traces instead of guessing from local tests.

Fix path: I reduce third-party scripts first because they often hurt conversion more than they help. Then I compress images CDN-side if possible before touching app architecture.

Red Flags That Need a Senior Engineer

1. You cannot tell me where secrets live. If nobody can explain how keys are stored today across dev/staging/prod without opening random files in Slack history or old commits you need help before launch.

2. The app uses client-side calls to sensitive APIs without strong server checks. This is where "it works" turns into exposed user data after one crafted request.

3. Redirects are handled by ad hoc rules in multiple places. Paid traffic depends on clean routing. One bad redirect chain can hurt attribution and kill conversions during launch week.

4. There is no monitoring owner. If uptime alerts do not go to someone specific within minutes you will discover outages from customers first.

5. The team expects handover without rollback. If deployment cannot be reversed quickly then every release becomes a business risk instead of a routine change.

DIY Fixes You Can Do Today

1. Turn on Cloudflare proxying for public web assets. This gives you basic DDoS protection plus caching control before you do anything more advanced.

2. Review every environment variable name. Remove any secret-like value from frontend prefixes immediately so nothing sensitive ships to browsers.

3. Test your funnel on one iPhone-class device over mobile data. You want to catch slow image loads broken tap targets hidden errors and sticky footer issues before paid traffic hits it.

4. Send three real emails from production-like settings. Test OTP receipt password reset delivery and welcome email rendering across Gmail Outlook and Apple Mail if possible.

5. Add one alert per critical failure mode. At minimum track uptime API errors failed logins email send failures and certificate expiry so someone gets paged before revenue drops for hours.

Where Cyprian Takes Over

This is where my Launch Ready sprint fits cleanly into your handover plan:

  • DNS setup
  • Root domain
  • Redirect rules
  • Subdomains
  • Canonical host cleanup
  • Cloudflare hardening
  • SSL enforcement
  • Caching rules
  • Basic WAF posture
  • DDoS protection
  • Email security
  • SPF
  • DKIM
  • DMARC
  • Deliverability checks for transactional mail
  • Production deployment
  • Environment variables
  • Secrets placement
  • Release verification
  • Rollback notes
  • Monitoring
  • Uptime monitoring
  • Error visibility
  • Certificate expiry awareness
  • Handover checklist
  • What exists
  • Where it lives
  • Who owns it
  • What breaks first if something goes wrong

My recommendation: do not spend two weeks trying to DIY this if paid traffic is already planned.

If your funnel fails at any of these points before launch day then Launch Ready is not optional maintenance; it is the difference between controlled growth and preventable damage to conversion rate trust support volume and brand credibility during acquisition spend ramp-up.

References

  • roadmap.sh API Security Best Practices: https://roadmap.sh/api-security-best-practices
  • roadmap.sh Code Review Best Practices: https://roadmap.sh/code-review-best-practices
  • roadmap.sh QA: https://roadmap.sh/qa
  • Cloudflare SSL/TLS documentation: https://developers.cloudflare.com/ssl/
  • Google Email sender guidelines: https://support.google.com/a/answer/81126

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Take the next step

If this is a problem in your product right now, here is what to do next:

  • [Use the free Cyprian tools](/tools) - estimate cost, score app risk, check launch readiness, or pick the right service sprint.
  • [Book a discovery call](/contact) - I will tell you honestly whether you need a sprint or if you can DIY the next step.

*Written by Cyprian Tinashe Aarons - senior full-stack and AI engineer helping founders rescue, launch, automate, and scale AI-built products.*

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About the author

Cyprian Tinashe AaronsSenior Full Stack & AI Engineer

Cyprian helps founders rescue, secure, deploy, and automate AI-built apps with production-grade engineering, launch systems, and AI integration.