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UNPWNED
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Plain English checks for AI-built apps, with the exact fix for each problem.

React Native Development Company

Website, pricing, platforms and company facts side by side.
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| Website | guardcue.com | appsted.com |
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| Company | Startup from Pakistan · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


GuardCue checks apps built with Claude Code, Lovable, Bolt, Cursor or any other AI tool for the problems that cost money, and explains each one in plain English for the person who built it, not for a developer. What it finds A database anyone can read without signing in, including Supabase tables...
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GuardCue: is your AI-built app ready for real customers?
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As answered by people managing GuardCue and Hire React Native Developer.
GuardCue's answer
Founders and small teams who built an app with Claude Code, Lovable, Bolt, Cursor, v0, Replit, Base44 or any other AI tool, often without a developer, and want to know it is safe before they launch or take payments. Agencies that build apps this way for clients can use it too.
GuardCue's answer
Most security scanners are written for developers and report in technical terms. GuardCue is written for the person who built the app with an AI tool and cannot read code. Every problem says what it could cost you, how we know, and the exact words to paste into Claude Code, Lovable, Bolt, Cursor or any other AI tool to fix it. Then it checks your live site again to prove the fix worked. It also runs inside those tools, so they can check and fix in one step.
GuardCue's answer
Three reasons. It shows proof, not guesses: when it says a table is open, it read rows from it without signing in. It avoids false alarms: a public product list is called fine, a customer table is called a breach. And it closes the loop: the fix is written for your AI tool, and a second check confirms it on the live site. The first check is free, with no sign up.
GuardCue's answer
GuardCue started in September 2026 at Hexspire, a small software studio. People were launching apps built with AI tools in a weekend, and the same mistakes kept showing up: databases anyone could read, secret keys in the page, paid services anyone could run up. The tools that find these problems were written for developers, so the people most at risk could not use them. We built GuardCue to explain each problem in plain English and hand over the fix. Our first study of 50 public AI-built apps found a secret key in the code of 18 of the 47 we could read.
GuardCue's answer
TypeScript, Node.js and Next.js, with a PostgreSQL database. Claude by Anthropic helps write the plain English explanations, and every finding is confirmed by a fixed, repeatable check before anyone sees it. It also uses open source scanners including Semgrep, Gitleaks, OSV-Scanner and Retire.js.
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