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PSD mockup rendering API. Sub-second response at $0.002/render. Unlimited mockups on Dashboard, scalable API. 2M+ renders served. Start free.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Website, pricing, platforms and company facts side by side.
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| Website | sudomock.com | diffyn.com |
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| Company | Startup from the United States · 10 - 19 employees · 2025 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


SudoMock is visual infrastructure for e-commerce. A REST API that transforms PSD templates into rendered product mockups in under one second. The Problem Product visualization hasn't kept pace with e-commerce growth. Manual Photoshop workflows don't scale. Enterprise rendering APIs are expensive....
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The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
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As answered by people managing SudoMock and Diffyn.
SudoMock's answer
SudoMock runs on a purpose-built PSD processing engine written from scratch in Python — no third-party rendering dependencies, no licensed libraries, no Adobe SDK. This architectural decision eliminates licensing costs and gives us full control over the rendering pipeline. Most competitors wrap existing commercial engines and inherit those costs. We engineered ours specifically for throughput and cost efficiency. The result: sub-second response times at $0.002 per render, with 99.9% uptime and over 2 million renders served.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
SudoMock's answer
Three reasons: Price, Speed, and Simplicity.
Price: At $0.002 per render with no hidden fees, SudoMock is significantly more cost-efficient than alternatives charging $0.05-$0.15 per render.
Speed: Our API responds in under 1 second for most templates. No queue delays, no waiting for workers to spin up.
Simplicity: Upload your PSD once, call the API with your design assets, get a CDN-hosted URL back. We also offer a free visual playground to test before you code, and native integrations with n8n, Zapier, and Make for no-code automation workflows.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Diffyn's answer:
React, Next.js, POSTGRESQL
SudoMock's answer
Print-on-demand sellers and e-commerce platforms that need product mockups at scale. Our typical users are Etsy, Amazon, and Shopify sellers generating hundreds or thousands of product images daily. We also serve SaaS platforms building product customization features, marketing teams automating campaign assets, and agencies managing multiple client catalogs. Anyone who needs reliable, high-volume mockup generation with predictable pricing is our target audience.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
SudoMock's answer
SudoMock emerged from a gap in the market. Print-on-demand and e-commerce platforms need to generate thousands of product mockups daily, but existing solutions present a scaling problem: enterprise APIs charge $0.05-$0.15 per render — costs that become prohibitive at tens of thousands of images monthly. Meanwhile, budget alternatives sacrifice speed and reliability.
The founding team observed this pattern across the industry — teams either overpaying for enterprise tools or building fragile in-house solutions. The answer was a purpose-built PSD processing engine: no Adobe dependencies, no licensed rendering libraries, just infrastructure optimized for throughput and cost efficiency.
SudoMock packages that engine as a standalone API service. It now serves over 2 million renders for teams who need infrastructure-grade reliability without enterprise pricing — filling the gap between expensive enterprise tools and unreliable budget options.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
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