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

Snyk
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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.

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


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....
No description of GuardLayer yet.
What each product offers, as listed by its team.


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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing CloudGPU.app and GuardLayer.
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 CloudGPU.app and GuardLayer. For example, how are they different and which one is better?
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