For founders whose AI-built app has real users

Your AI-built app works. Are you sure it isn't leaking user data?

Real users are in it, and you cannot tell what is actually safe. An agent fleet audits it overnight, and you wake up to a ranked list: what is exposed right now, what is urgent, what can wait. Every finding comes with a proof you can re-run.

Run a free Leak Check →See what you get →

T1-03 · sample findingcritical

Tables readable by the anon role your frontend uses

behavior-confirmed · live behavior re-run independently

reproducible proof · read-only query, re-executed

SELECT relname, relrowsecurity FROM pg_class

WHERE relrowsecurity = false;

→ 4 tables: orders, sessions, profiles, events

canonical result hash (sha256):

1a5f••••••••4d47

→ re-run it, get the identical hash. the proof re-runs identically.

pipeline.continuumlive

audits & fixes shipping, in order

deliveredovernight audit returned · 17 findings, 3 critical#A-2418m ago

mergedenforce row-level security on orders table#4811h ago

reviewadd rate-limit to /api/checkout#480in review

runningovernight audit in progress · replaying auth flows#A-242running

queuedadd auth guard to /admin routes#478queued

• A real run on a live Next.js + Supabase app returned 10 findings, including a severe RLS leak confirmed by query re-execution, with zero secrets in the report.

Live pipeline feed is illustrative. Counts wire in from real runs at launch.

Continuum doesn't hand you a scanner report or a 40-item checklist. It tells you which risks can hurt your app now, and fixes the ones that matter first.

What you get

A report ranked by what can actually hurt you.

Just three buckets, so you know exactly where to spend the next hour.

exposed nowFix before someone finds itTables the anon key can read, secrets in the client bundle, admin routes with no guard. The stuff that leaks user data today.

will break under loadFix before you growNo rate limit on checkout, no email verification, a query that crawls past a few hundred rows. Quiet until real users arrive.

safe to ignoreDo not waste time hereDev-only warnings, cosmetic lint. Naming what does not matter is half the value.

See a full sample report →

Three ways to get safer

Start free. Pay only when you need the report or the fixes.

Start here01Ship Check$299Find what is dangerous, what can wait, and what to fix first.A ranked triage of your app, so you read the top of the list and know where to start. The overnight agent fleet does the volume, I make the call on what actually matters, and every finding comes with a proof you can re-run. Start free with a Leak Check.Run a Ship Check →02Ship Fix$4K to $15KI fix the dangerous findings from your report, and prove each one is closed.Fixed scope, days not weeks. The dangerous findings from your Ship Check, fixed and verified, with proof they are actually closed.Talk about a fix →03Continuumfrom $49/moStay safe as your app keeps changing.From always-on monitoring with plain-English alerts, up to me as your fractional CTO for continued development, security included. Three levels: Watch, Care, Partner.See ongoing options →

Why me

A senior engineer's judgment, at agent speed.

Fifteen-plus years building production software. A 15-year client's product has run on my code the whole time. An agent fleet does the volume, audits and ships fixes fast, while I sit in every critical loop: architecture, review, deploy. Trust is the moat, and the receipts are real.

15+

years shipping

15 yr

anchor client, one codebase

180★

RelayPlane on GitHub

“You built an app with AI. I make sure it will not break, leak data, or fall over when real users show up.”

Matt Turley · Paris

Find out what's exposed before someone else does.

Run a free Leak Check →or go straight to a Ship Check →