Work with Code_Racoon

What Code_Racoon covers

Code_Racoon publishes practical technical content across software engineering, AI workflows and local LLMs, developer tools and automation, hardware benchmarks, and defensive cybersecurity. Every guide is hands-on, tested, and written for builders.

Types of collaboration

Product reviews

Product review opportunities are considered where there is a clear fit with what Code_Racoon already covers — developer tools, AI services, local inference stacks, benchmark hardware, automation platforms, and adjacent technical products.

Reviews stay editorially honest. A review opportunity is not a guaranteed positive review. If a product does not hold up in real use, the review will say so. This is a non-negotiable part of how the brand stays credible long-term.

Sponsored coverage is always labelled. Affiliate relationships are disclosed on the page where they apply.

Who tends to be a good fit

• Developer tools and platforms with a real technical story to tell
• AI and ML services that builders actually integrate with
• Hardware vendors with products relevant to local inference or workstation builds
• Automation, DevOps, and productivity tools with a genuine builder use case
• Companies comfortable with honest, independent editorial coverage

Best fit: relevant tools, platforms, services, and products that would be genuinely useful to CodeRacoon’s audience. Partnerships are reviewed case by case for audience fit, editorial independence, and reader trust.

How the process works

1. Reach out by email with a short description of what you have in mind.
2. If it looks like a fit, we discuss scope, timing, and deliverables.
3. Terms, disclosure, and editorial independence are agreed in writing before anything ships.
4. Content is produced, reviewed, and published with clear labelling where relevant.

Partnership capacity is intentionally selective so coverage stays useful, relevant, and trustworthy. Well-matched enquiries are prioritised.