Partner with OpenSourcesAI · Reviewed June 2026

Reach AI builders while they evaluate tools.

OpenSourcesAI helps developers, founders, creators, operators, and technical teams compare AI tools, local LLMs, infrastructure, workflows, and commercial products before they commit to a stack.

4Placement types
6Ideal partner categories

Editorial fit required

Every placement is reviewed for audience and workflow fit before it is recommended.

No guaranteed praise

Sponsors do not buy guaranteed rankings, positive conclusions, or removal of alternatives.

Reader trust first

Reader trust matters more than placement volume.

Good partnerships should help readers make better tool decisions, not interrupt them.

View the media kit →

Audience

Audience profile

Developers, local LLM users, RAG builders, founders, technical operators, small businesses, and AI teams evaluating practical tool choices.

Audience intent

Readers are comparing tools, models, infrastructure, and workflows before they decide what to test, buy, or recommend.

Content surfaces

Partner mentions can appear near relevant tool profiles, best-of pages, comparison pages, guides, stack recipes, and resource pages.

Measurement note

Verified traffic and conversion metrics should come from analytics exports or partner reports. Until then, OpenSourcesAI uses audience-profile language instead of unverified traffic claims.

Placement types

Clearly labeled

Tool profile

A product profile with use cases, limitations, alternatives, pricing notes, disclosure, and next steps.

Contextual only

Comparison context

A placement near relevant comparison pages where readers are actively evaluating alternatives and tradeoffs.

Workflow fit required

Guide or stack note

A labeled mention inside a relevant guide, setup workflow, stack recipe, or practical builder path.

Editorial fit required

Best-of consideration

Category consideration when the product genuinely fits the reader problem and page criteria.

Who should sponsor

  • AI infrastructure and hosting platforms
  • Local AI, model serving, and inference tools
  • Developer tools, coding assistants, and agent platforms
  • RAG, vector database, data pipeline, and web data tools
  • Security, privacy, credential, and compliance tools for builders
  • Productivity, document, workflow, creator, and business operations software

Partner labeling and editorial policy

  • Commercial relationships are clearly labeled.
  • Sponsors do not buy guaranteed praise, ranking, or positive conclusions.
  • Pages should explain practical fit, limitations, alternatives, and responsible use.
  • Reader trust matters more than placement volume.

How a partnership works

1. Review the media kit

Use the media kit to understand audience fit, placement options, measurement expectations, and editorial standards.

2. Tell us the fit

Share the product, target user, category, offer, and the pages or workflows where the partnership would make sense.

3. Editorial review

We review whether the product fits the audience and whether the placement can be useful rather than disruptive.

4. Placement proposal

Good-fit products can receive a suggested placement plan such as a profile, comparison mention, guide note, or category page mention.

Direct email

For sponsorship and partner inquiries, email [email protected]. For general questions, email [email protected].

Start a partner conversation

Share your product, campaign goal, and budget range. We review every request for editorial fit before recommending a placement.