
Snyk
Semgrep
Aikido Security
PreflightPR
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SniffPup
Mend.io
Automated security scanning for Next.js + Supabase apps. Catch exposed keys, missing RLS, and unprotected Server Actions before they reach production — with the exact fix.

Vast.ai
GPU Per Hour
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GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | guardlayer.io | cloudgpu.app |
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In their own words, as submitted to SaaSHub.


No description of GuardLayer yet.
CloudGPU is an independent service (not affiliated with Anthropic, OpenAI or any model vendor) with two products on one prepaid balance: GPU instances billed per minute (RTX 3090 / 4090 / 5090, A100, H800, RTX PRO 6000) for fine-tuning, inference, ComfyUI, Stable Diffusion and LLaMA-Factory....
What each product offers, as listed by its team.


No features have been listed yet.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GuardLayer and CloudGPU.app.
GuardLayer's answer
GuardLayer scans one stack deeply — Next.js + Supabase — instead of trying to cover everything. That focus lets it catch the specific, high-impact mistakes these apps actually ship: a Supabase servicerole key exposed through NEXTPUBLIC_, tables with Row Level Security disabled or a policy that isn't scoped to the user, webhooks that never verify their signature, and Server Actions with no auth check. It's precision-tuned to stay quiet on safe code (it won't flag a publishable anon key as a leaked secret), so you get real findings with the exact fix — not a wall of noise. The full engine is free on your first repo, no signup or card.
GuardLayer's answer
General scanners like Snyk, Semgrep, and GitGuardian are powerful but broad — they don't know that a Supabase anon key is safe to commit while a service_role key is catastrophic, or that a Next.js Server Action is a public endpoint anyone can call. GuardLayer encodes that stack-specific knowledge, so every finding maps to how Next.js + Supabase apps really break, with the fix inline. It's free to start (full scanner on one repo), runs in seconds as a GitHub Action or a hosted scan, and it's open source (MIT) — no lock-in, nothing to trust blindly.
GuardLayer's answer
Solo founders, indie hackers, and small teams shipping SaaS on Next.js + Supabase — especially people building fast with AI tools like Lovable, Cursor, v0, and Claude. That workflow ships working apps quickly but repeatedly leaves the same security gaps: RLS left off, keys exposed to the browser, routes with no auth check. GuardLayer is the safety net for developers who want to ship fast without a dedicated security team.
GuardLayer's answer
GuardLayer grew out of a pattern: AI-built and "vibe-coded" apps kept shipping the same Supabase mistakes — most visibly the 2025 wave of Lovable projects with Row Level Security left off, exposing user data through the public API key (CVE-2025-48757). The tools that catch this tend to be enterprise-priced and stack-agnostic, which doesn't fit a solo builder moving fast on Next.js + Supabase. So GuardLayer was built to encode exactly those failure modes into a free, precision scanner that runs on every push and hands you the fix — putting the checks a security engineer would run in reach of a one-person team.
GuardLayer's answer
Next.js (App Router) and TypeScript, styled with Tailwind CSS, backed by Supabase (Postgres, Auth, Row Level Security), deployed on Vercel, with Stripe for billing and a GitHub App plus an open-source GitHub Action for CI integration. The scanner engine itself is a dependency-light static-analysis library written in TypeScript.
Share your experience with using GuardLayer and CloudGPU.app. For example, how are they different and which one is better?
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