YieldStack VS GuardLayer

YieldStack's answer

The largest CRE Lenders in the USA

YieldStack's answer

AI integrations supporting the platform’s workflows.

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.

YieldStack's answer

YieldStack combines AI-assisted lender matching with hands-on commercial mortgage brokerage. Borrowers submit once, compare financing options, and work with a team that handles structuring, negotiation, and closing coordination. Borrowers approve lender outreach, with no upfront fees and a broker fee paid only at closing.

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.

YieldStack's answer

YieldStack helps borrowers evaluate the whole financing offer: rate, leverage, fees, reserves, prepayment terms, and closing requirements. Its platform organizes the process, while its brokerage team helps borrowers find suitable lenders and move the deal forward. One submission gives borrowers a coordinated financing process without an upfront brokerage fee.

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.

YieldStack's answer

Commercial real estate investors, developers, operators, and mortgage brokers seeking bridge, DSCR, fix-and-flip, construction, multifamily, and permanent financing across the United States.

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.

YieldStack's answer

Rommin Adl and Daniel Chesney founded YieldStack to simplify commercial real estate financing. The platform brings deal preparation, lender matching, offer comparison, and closing coordination into one workflow, combining AI-assisted analysis with human brokerage expertise.

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.