AI builders and developers
Readers comparing tools, models, deployment options, app builders, RAG workflows, APIs, and local AI setups before they build.
Media kit · Partner information · Updated November 2026
OpenSourcesAI helps developers, founders, local LLM users, agencies, and technical operators compare practical AI tools before they build, buy, or recommend a stack.
Audience-profile language used instead of unverified traffic claims
No inflated traffic claims: verified analytics and audience-profile language only.
Commercial relationships are clearly disclosed near partner links and CTAs.
Sponsors do not buy guaranteed rankings, positive conclusions, or removal of alternatives.
Readers comparing tools, models, deployment options, app builders, RAG workflows, APIs, and local AI setups before they build.
Small teams choosing practical software for infrastructure, automation, productivity, customer workflows, and security.
Builders evaluating AI-assisted content, presentation, SEO, visibility, and production workflows for client or audience work.
Visitors often arrive while comparing categories, shortlisting tools, validating stacks, or deciding what to test next.
Every figure here is from GA4 on the production host, with its date window stated on the card. Owner, preview-host and monitor traffic is excluded, and no server-side request count is used anywhere on this page.
Audience figures
Shared with prospective partners as dated GA4 exports for the production host. OpenSourcesAI does not publish run-rate or pageview estimates.
Engaged session rate
GA4, production host only, 29 June to 27 September 2026: 403 engaged sessions of 770. Owner, preview-host and monitor traffic excluded.
Checker share of key events
GA4 key events on the production host over the same 90 days. The Local LLM Compatibility Checker is where visitors act.
OpenSourcesAI Weekly
A high-signal Wednesday newsletter covering local AI, VRAM limits, model runtimes, and infrastructure decisions.
Primary Channels
High-intent evaluators reaching directory pages, setup guides, comparison pages, and interactive tools.
OpenSourcesAI is organized around the way technical buyers evaluate software: discover, compare, shortlist, test, and implement.
A clearly disclosed tool profile with fit, use cases, pricing notes, tradeoffs, alternatives, source links, and calls to action.
Contextual inclusion where the product genuinely fits the criteria and reader problem. Placement does not guarantee ranking or praise.
A labeled mention inside a relevant setup guide, stack recipe, implementation workflow, or resource page.
Category-level exposure from partner hubs, tool directories, and relevant internal linking when editorial fit is strong.
A conditional recommendation surface shown only when the user context matches the product category, such as cloud GPU fallback for hardware-constrained local AI users.
A native mention inside OpenSourcesAI Weekly focused on practical tool fit rather than generic display advertising.
The strongest commercial fit is a product that helps builders make or implement a technical AI decision.
All placements are editorial-first and subject to fit review. Rate architecture is negotiated per partner.
| Placement Type | Rate |
|---|---|
| Sponsored Technical Tool Profile Slot | Custom rate based on placement and fit |
| Deep-Tech Guide Contextual Integration | Custom rate based on placement and fit |
| Compatibility Checker Contextual CTA | Custom rate based on placement and fit |
| Newsletter Contextual Stack Watch Entry | Custom rate based on placement and fit |
Audience figures are shared on request as dated GA4 exports for the production host. Ask for them through the contact page.
This media kit is intentionally transparent about the current growth stage.
Send the product, target audience, preferred placement type, affiliate or sponsorship offer, and the OpenSourcesAI pages where the partnership would be most useful.