CleanSlop vs Hand Wave: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and Hand Wave — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

CleanSlop

Freemium

Scans vibe-coded apps for launch-blocking issues like leaked keys and data exposure, and reports what to fix first, right from your coding agent.

Agent-Native Scanning: Tell Claude Code, Codex, Cursor or other agents to scan with CleanSlop and fix findings where you build.
System-Level Code Mapping: Maps routes, background jobs, data and external services so each finding follows a real call path.
Prioritized Reports: Findings grouped as needs attention, worth a look and minor, worst first.
Evidence for Every Finding: Shows where each issue lives in your code and why it was flagged.
Plain-English Fixes: Explains what is wrong, why it matters and what to do about it.
Copy for LLM: Hands any report to your AI tool so it can apply the fixes.
GitHub App Integration: Scan only the repositories you select, read-only access.
Expert Triage Calls: Book a 15-minute call with a CleanSlop engineer to walk through findings.

A solo founder checks a Next.js and Supabase app built with an AI coding assistant before launching.
A developer discovers an exposed AI API key bundled into browser code and moves it to a server route.
A side-project builder verifies that one user's data cannot be read by another through database policies.
A Claude Code user runs a scan from the terminal and has the agent fix the top findings.
A team lead gets a short prioritized list instead of hundreds of linter warnings.
An indie hacker books an expert triage call to confirm an ambiguous finding.

Aadi Sanghvi

Free

Real-time sign language recognition for a webcam or screen share that turns hand signs into text and speech in the browser.

Live Camera Recognition: Recognises sign language directly from the device webcam without an install.
Screen Share Recognition: Runs against any screen share, so signs in a video call can be captioned live.
Text and Speech Output: Emits the recognised signs as caption text and can speak them out loud.
On-Device Vision: Model runs in the browser tab — the video stream is not uploaded to a server.
Zero-Setup Web App: Opens in the browser with two buttons — Start Camera or Share Screen.
Smart-Glasses Friendly: Designed to work with a phone or smart-glasses camera feed for real-world conversations.

Deaf-Hearing Conversations: Sign into the camera and let a hearing person read or hear the translation live.
Accessible Video Calls: Add a live sign-to-text overlay to Zoom/Meet calls via screen share.
Live Stream Captions: Twitch or YouTube creators who sign can auto-caption their broadcast.
Classroom and Meeting Access: A Deaf student or colleague signs, everyone else sees text in real time.
Assistive Wearables: Pair with smart glasses so signs are turned into audible speech for the person opposite.