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Mercury
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Brex
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Mobile money, reinvented. Deposit, withdraw, pay bills for free. Send for only 1%.

GTmetrix
Google Lighthouse
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Automated QA for websites: scan for broken links, security, performance and accessibility issues, get an AI fix prompt, and retest to verify.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | wave.com | devscanai.com |
| Pricing | ||
| Platforms | โ | |
| Company | โ | Startup from Israel ยท 1 - 9 employees ยท 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Wave yet.
DevScan AI is an automated QA engineer for modern and AI-built web applications. It scans your website for functionality, performance, SEO, mobile, accessibility, security configuration, API and load problems, explains every issue with evidence, and generates a ready-made prompt for your AI...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Wave review
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How often each product is chosen within a category, 0โ100% relative to the other.


As answered by people managing Wave and DevScan AI.
DevScan AI's answer:
Indie developers, freelancers, small agencies and startup founders who ship websites quickly โ especially people building with AI tools like Lovable, Bolt, Cursor and Claude Code, who need a quality and security check before launch but don't have a QA engineer or security team.
DevScan AI's answer:
Most website tools check one thing โ speed, SEO, accessibility or security. DevScan checks all of them in one scan, then closes the loop: every issue comes with evidence and a plain-language explanation, DevScan writes a ready-made prompt you paste into your AI coding tool (Cursor, Claude Code, Lovable, Bolt) to fix the issues in a safe order, and a one-click retest verifies the fix. Scan, fix, verify โ in one place. It also catches problems AI-built sites often have, like API keys leaked in frontend JavaScript or exposed .env files.
DevScan AI's answer:
DevScan AI's answer:
DevScan AI was built by Fadi Kanaani, a solo founder from Kafr Qara, Israel. As more websites are built quickly with AI tools, he noticed that they often look finished but hide problems nobody checks: broken links, missing security headers, exposed files and keys, slow pages and accessibility issues. He wanted an automated QA engineer that doesn't just list problems but helps fix them โ so he built DevScan around a simple loop: Scan. Fix. Verify. Fittingly, the first real production bug DevScan found was on its own website.
DevScan AI's answer:
Next.js and React (TypeScript) for the web app, Python with FastAPI for the API, PostgreSQL and Redis for data and queues, Celery for background jobs, Playwright with Chromium for browser-based scanning, Lighthouse for performance audits, k6 for load testing, Docker and Caddy for deployment, Cloudflare for DNS and protection, Paddle for billing, and Claude for AI features.
DevScan AI's answer:
Share your experience with using Wave and DevScan AI. For example, how are they different and which one is better?
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