How to launch your AI-built app to real users (the 14-step playbook)

You've been building for weeks. The app works. Your friends have used it. You're about to send the announce tweet.

Before you do, run through this list. Most solo founders launching an AI-built app get 4-6 of these wrong on day one. The damage ranges from "minor embarrassment" to "tweet about your company on Hacker News."

1. Set spending limits on every paid API

Before launch, log into every paid API your app uses (OpenAI, Anthropic, Stripe, AWS, Twilio, SendGrid, anything) and set a hard spending cap. Default limits are usually "no limit," which is the worst possible default for a launching app where you cannot predict traffic.

Recommendation: hard cap at 5x your expected monthly spend. Soft alert at 2x. If you've never run real traffic, set both bounds tight; you can raise them after the launch traffic stabilizes.

The cost of getting this wrong: a leaked key turns into a $4,000 bill before you wake up. The fix is 5 minutes per provider; do it before launch.

2. Verify no API keys are in your git history

Run:

git log -p --all -S 'sk-' | head -200
git log -p --all -S 'AKIA' | head -100
git log -p --all -S 'ghp_' | head -100
git log -p --all -S 'eyJ' | head -200

Each match is a leak. Even if you "moved the key to env vars later," the key is still in git history forever. Rotate every match — at the provider, not by editing git history.

If you're shipping a public repo, this matters even more. Public repos get scraped by attackers' bots within hours of any commit.

3. Audit your Vercel / Netlify environment variables

For every production secret, verify three things:

• It does NOT have the NEXT_PUBLIC_ prefix (would ship in client bundle)
• It is scoped to the Production environment ONLY (not Preview, not Development)
• The Preview environment uses a different value (Stripe test key, staging database, throwaway API keys)

The "production secret in preview deploy" bug is the most common launch-day leak. Every preview URL is publicly reachable; if your preview deploy uses production Stripe, every PR's preview URL can charge your real customers.

4. Enable RLS on every Supabase table

Open the Supabase dashboard → Authentication → Policies. Every table should show "RLS Enabled." If any table shows "RLS Disabled," that table is publicly readable by anyone with your anon key — which ships in your client bundle.

The 3 AM tweet about the next vibe-coded data leak is most often this exact bug.

5. Verify every API route checks ownership

For every route under app/api/[*]/[id]/route.ts that returns user-specific data, the handler must compare the resource's owner against the authenticated user. Skip this and you ship Broken Object-Level Authorization — the most common bug in AI-generated apps.

grep -rn 'params.id' app/api/

For each match, open the file and verify the ownership check is there. Missing checks are launch-day data leaks waiting to happen.

6. Test your middleware actually runs

curl -i https://your-app.com/api/admin/users

Should return 401/403 or a redirect, NOT the protected data. If it returns the data, your middleware matcher is wrong (probably matches /admin/* but not /api/admin/*).

While you're testing:

curl -i -H "x-middleware-subrequest: src/middleware" https://your-app.com/api/admin/users

If THAT returns the data, you're on a Next.js version vulnerable to CVE-2025-29927 — upgrade before launch.

7. Set up error monitoring

Install Sentry, LogRocket, or similar before launch — not after the first incident. The first time something goes wrong in production, you want a stack trace + user context, not "a Slack message from a friend that your app is broken."

Free tiers exist for all of these. 5 minutes of setup; pays for itself within the first week.

8. Verify your favicon, OG image, and meta tags work

Before launch, paste your URL into:

• Slack — does it preview correctly?
• iMessage — does the preview look right?
• Twitter / X (use the Card Validator) — does the OG image render?
• Google search (search "site:your-app.com") — does the title look right?

Half the launch tweets that flop have broken OG images. The first viral signal is whether the link looks good when people share it.

9. Set up rate limiting on auth endpoints

Login, signup, and password-reset endpoints should rate-limit by IP and by email. Without rate limiting, the first credential-stuffing bot to find your app can brute-force passwords.

Vercel + Upstash Redis gives you rate limiting in 10 lines of code:

```ts import { Ratelimit } from '@upstash/ratelimit'; import { Redis } from '@upstash/redis';

const ratelimit = new Ratelimit({ redis: Redis.fromEnv(), limiter: Ratelimit.slidingWindow(5, '1 m'), }); ```

5 attempts per IP per minute is a reasonable default for auth endpoints.

10. Test what happens when your app gets popular suddenly

Use a free load-testing tool (k6, autocannon, Vercel's own analytics) to simulate 100 concurrent users hitting your homepage. Watch for:

• Response time staying reasonable (under 500ms)
• Database connection pool not exhausting
• Vercel function execution time staying under your tier's limit
• LLM API rate limits not getting hit

The launch-day traffic spike is the most predictable failure mode that nobody plans for. Spend 15 minutes simulating it; tune what breaks.

11. Have a status page (or at least a Twitter handle)

If something breaks in the first hour after launch, users will Google your app's status. Either:

• A real status page (Better Stack, Atlassian Statuspage, even Notion)
• A clear support handle they can DM (Twitter, Discord, email)

Silence during an outage is the worst possible signal. Even "we know about it, looking into it" is dramatically better than nothing.

12. Have a privacy policy and terms of service

Even at solo-founder scale, you need both. Templates exist (Termly, Iubenda, Cookieconsent). Customize for your data practices, take 30 minutes, link from your footer.

If you handle any EU traffic, you need a GDPR notice and likely a Data Processing Agreement available on request. If you handle California traffic, CCPA. If healthcare, HIPAA-equivalent. Plan for at least the basics.

13. Have a way to delete user accounts

GDPR Article 17, CCPA, and most data-protection laws require this. Even outside legal requirements, users will ask. "Email me to delete your account" is a bad UX but minimally legal at small scale; "click delete, confirm, gone" is the right pattern at any scale.

14. Run an automated security scan one last time

Before pressing launch, run an automated security review on the codebase. The scan catches the bugs the launch checklist missed — the ones you didn't think to look for.

Securie runs the full Day-1 specialist suite (Supabase RLS, leaked secrets, broken auth) plus the alongside-the-MVP specialists (XSS, CSRF, SSRF, command injection, crypto hygiene, etc.) on every PR. Sandbox-verifies each finding, auto-opens fix PRs, and emits a signed attestation per scan you can share with prospects asking "is your app secure?"

Free during early access. 2-minute install. The launch-day catch happens before you press launch, not after.

After launch — the first 72 hours

Once you've launched:

• Watch error rates obsessively for 24 hours. Most launch-day bugs surface in the first 6 hours.
• Watch API spend dashboards for 24 hours. The cost-firewall protects you from runaway spend; you still want to see early signal.
• Read every signup email or signup-event notification. You learn more from the first 10 users than from the next 10,000.
• Be ready to ship a fix in <2 hours if something serious breaks. The launch-day tweet of "we just fixed X, here's what happened" is good signal; the launch-day tweet of "our app has been broken for 8 hours" is bad signal.

Related

• Pre-launch security checklist for vibe-coded apps
• The 3 AM Lovable panic
• I woke up to a $4,200 OpenAI bill
• How to answer "is your app secure?"
• Cursor vs Lovable vs Bolt vs v0
• Securie for solo founders