CleanSlop vs iisee.me: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of CleanSlop and iisee.me — 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.

Charlie Clark (GitHub: charlieclark)

Free

Web app to create customizable AI-generated expression grids for design, character exploration, and visualization.

Expression Grid Generation: Creates a multi-cell grid of AI-generated images showing variations in expression, pose, or style to support rapid visual ideation.
Interactive Web Editor: Web-based interface for previewing grids in real time and adjusting generation parameters without local tooling.
Customizable Parameters: Controls for seed, style, intensity, and layout to fine-tune how expressions and visual characteristics vary across the grid.
Export and Sharing: Options to export generated grids (image download or shareable link) for integration into design workflows or reviews.
Preset Templates: Ready-made templates for common grid layouts and expression sets to accelerate creation for character design and reference.
Open-Source Repository: Public GitHub repo enabling developers to self-host, inspect generation logic, or extend functionality for bespoke needs.
Generate AI-created expression grids (collections of expressions/images)
Web-based frontend built with Next.js
Database schema defined with Prisma
Repository includes npm scripts for setup (npm install) and database start (npm run db:start)
Deployment configuration present (vercel.json) for easy Vercel hosting
Scripts for database migration and startup (start-database.sh, db-deploy-migrations.sh)
Source code available on GitHub for self-hosting and extension

Character Design Ideation: Quickly generate a matrix of facial expressions to iterate on character looks for games, comics, or animation.
Animation Reference Sheets: Produce consistent expression grids to guide animators and ensure continuity across scenes.
Avatar and Emote Creation: Create multiple emotive avatar variants for chat apps, streaming, or social platforms.
UX and Concept Testing: Generate visual variations for user testing to evaluate emotional impact or recognizability of character designs.
Marketing Creative Exploration: Rapidly prototype visual concepts showing different emotional tones for ad or social creatives.
Educational and Reference Material: Produce expression collections for teaching acting, emotion recognition, or illustration techniques.
Create expression/pose sheets for character design and animation
Rapidly prototype facial expression variations for game or film art
Generate visual assets for avatars or social media content
Self-hosted research or experimentation with image-generation workflows
Integrate into artist pipelines by extending Next.js API routes or the source code