The *technical creator network

Audience: Startup operators + investors

Helps non-engineers make practical sense of software + AI—in a way people often find funny.

Previously sponsored by Vercel, CodeRabbit, GitBook, and more

Audience: AI engineers

Battle-tested, hands-on guides that take AI engineers from PoC purgatory to shipping production AI systems that work—no toy examples.

Previously sponsored by Comet, MongoDB, Prefect, and more

Audience: Software engineers

Breaks down how large-scale systems work using real examples from Stripe, Uber, WhatsApp, Google, and Meta.

Previously sponsored by CodeRabbit, Augment Code, Graphite, and more

Audience: AI researchers

Weekly practitioner interviews, tutorials, and deep dives on AI model training, inference, and agents.

Previously sponsored by Scrimba, Arcee, and more

Audience: AI engineers

Native, host-written breakdowns of the AI stack—tool comparisons (vLLM vs Ollama, H100 vs H200) and production case studies (Perplexity, Anthropic)—for the engineers who build.

Previously sponsored by NVIDIA, Superlinked, Google, and more

Audience: AI engineers

Teaching AI systems all the way to production. Open-source courses with written lessons, hands-on labs, and long-form videos. From recommender systems and RAG to finetuning, LLM inference, and agentic architectures.

Previously sponsored by Comet (Opik), MongoDB, Qdrant, and more