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 · Reviewed July 2026
Reach AI builders while they compare tools and workflows.
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
30K – 55KMonthly Pageview Run-Rate
5.60 views/active userGA4 Engagement Sample
2m 51sChecker Engagement Sample
Transparent reporting
No inflated traffic claims — verified analytics and audience-profile language only.
Editorial-first placements
Commercial relationships are clearly disclosed near partner links and CTAs.
No guaranteed rankings
Sponsors do not buy guaranteed rankings, positive conclusions, or removal of alternatives.
Audience
Founders and technical operators
Small teams choosing practical software for infrastructure, automation, productivity, customer workflows, and security.
Agencies and creators
Builders evaluating AI-assisted content, presentation, SEO, visibility, and production workflows for client or audience work.
High-intent evaluators
Visitors often arrive while comparing categories, shortlisting tools, validating stacks, or deciding what to test next.
Audience metrics
Ranges reflect verified analytics data at the current growth stage. GA4 is treated as the best current view of browser-side engaged traffic, while infrastructure analytics show broader server-side demand.
30K – 55K
Monthly Pageview Run-Rate
Estimated from current Netlify analytics during the active growth window; not presented as a guaranteed monthly floor.
5.60 views/active user
GA4 Engagement Sample
Tracked browser-side sample showing cross-navigation across pages; GA4 may undercount users with tracking protection.
2m 51s
Checker Engagement Sample
Average engagement time on the Local LLM Compatibility Checker in the current GA4 sample.
Early Access
OpenSourcesAI Weekly
A high-signal Wednesday newsletter covering local AI, VRAM limits, model runtimes, and infrastructure decisions.
Search + Direct
Primary Channels
High-intent evaluators reaching directory pages, setup guides, comparison pages, and interactive tools.
Site inventory
OpenSourcesAI is organized around the way technical buyers evaluate software: discover, compare, shortlist, test, and implement.
- AI tools directory and partner tool profiles
- Model directory and model source notes
- Best-of pages for buyer and builder categories
- Comparison pages for alternative evaluation
- Guides, stack recipes, integrations, and resources
- Local LLM compatibility checker and playground surfaces
- Hardware and VRAM decision pages
- Newsletter and future stack-watch placements
Partner categories
- AI app builders, agent builders, and workflow platforms
- Infrastructure, hosting, GPU cloud, deployment, and data tools
- RAG, vector database, web data, and search visibility products
- Security, privacy, password, credential, and compliance tools
- Automation, document, productivity, and business operations SaaS
- Presentation, creator, voice, content, and marketing workflows
- Local AI runtimes, model tools, and developer infrastructure
Placement options
Partner profile
A clearly disclosed tool profile with fit, use cases, pricing notes, tradeoffs, alternatives, source links, and calls to action.
Best-of or comparison consideration
Contextual inclusion where the product genuinely fits the criteria and reader problem. Placement does not guarantee ranking or praise.
Guide or workflow sponsorship
A labeled mention inside a relevant setup guide, stack recipe, implementation workflow, or resource page.
Directory and hub visibility
Category-level exposure from partner hubs, tool directories, and relevant internal linking when editorial fit is strong.
Compatibility checker contextual CTA
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.
Newsletter Stack Watch entry
A native mention inside OpenSourcesAI Weekly focused on practical tool fit rather than generic display advertising.
Best-fit partners
The strongest commercial fit is a product that helps builders make or implement a technical AI decision.
- Developer tools with clear technical documentation
- GPU cloud, inference, hosting, and infrastructure platforms
- RAG, vector database, observability, and data workflow products
- Local AI runtimes, model tools, and open-source adjacent infrastructure
- AI app builders, agent builders, and workflow automation platforms
- Security, privacy, compliance, and credential-management products
Placement pricing
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 |
[Download OpenSourcesAI Media Kit (PDF)]
Includes audience summary, placement options, editorial rules, and reporting expectations for prospective partners.
Reporting and measurement
This media kit is intentionally transparent about the current growth stage.
- OpenSourcesAI is building its verified sponsor reporting layer and does not publish inflated traffic claims.
- Traffic, click, and conversion data can be shared from analytics exports or partner dashboards where available.
- Affiliate links use PartnerStack-style Sub IDs where supported so placements can be tracked by page and CTA location.
- GA4 is treated as browser-side engaged traffic, while Netlify analytics reflects broader infrastructure-level traffic. Both views are useful, but neither is exaggerated into unsupported claims.
- Early-stage partners should expect transparent audience-fit language rather than guaranteed volume claims.
Editorial and disclosure standards
- Commercial relationships are clearly disclosed near partner links and CTAs.
- Sponsors do not buy guaranteed rankings, positive conclusions, or removal of alternatives.
- Official verification links remain direct source links rather than affiliate links.
- OpenSourcesAI prioritizes reader trust, practical fit, limitations, and alternatives over placement volume.
Request partnership information
Send the product, target audience, preferred placement type, affiliate or sponsorship offer, and the OpenSourcesAI pages where the partnership would be most useful.