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.

Split Fee's answer:

Split Fee is the first purpose-built platform for split fee recruitment in the UK. Instead of relying on LinkedIn groups, WhatsApp messages, and manual agreements, agencies upload their candidates and vacancies and the platform automatically matches them across agencies.

Candidate identities are revealed gradually; anonymised at first, then progressively disclosed as both sides accept, so agencies can collaborate without the risk of circumvention.

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.

Split Fee's answer:

Most "split fee networks" are just directories or social groups where agencies post and hope someone responds. Split Fee is an actual matching engine. It scores candidate-vacancy pairs, handles the legal agreements (non-circumvention, self-billing), automates invoicing and fee splits, and manages the entire placement lifecycle from match to payment. Everything that normally requires trust, phone calls, and spreadsheets is handled by the platform.

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.

Split Fee's answer:

UK recruitment agencies; from boutique firms with a handful of consultants to mid-sized agencies with specialist sector coverage. Any agency that has either strong candidates without the right vacancies, or client vacancies they can't fill from their own candidate pool. Split Fee turns those dormant assets into placements.

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.

Split Fee's answer:

Abbie, our founder, knew that although split fee arrangements have existed in recruitment for decades, the process has always been manual: find a partner agency, negotiate terms, trust them with your candidate data, chase invoices. Most agencies avoid it because the overhead and risk outweigh the reward. Abbie built Split Fee to remove that friction entirely, with automated matching, progressive identity disclosure, built-in legal agreements, and automated billing, making split placements as straightforward as direct ones.

Split Fee's answer:

A next-generation serverless platform, built for AWS.