Newsletters like Ahead of AI

SubstackEvery two weeks · last post 7 days ago

From recent posts: The Production Gap publishes technical deep dives on AI infrastructure, covering topics such as decision models, voice agents, and self-improving agents. The content targets engineers and product managers with specific…

Likely audience: AI product managers

2 shared topics

SubstackMonthly or less · last post 45 days ago

Hands-on insights on AI tools, productivity, and the future of how we work and build. Real experiences with Cursor, Claude, agents, and everything worth your attention. If you want real workflows over headlines, this is…

Likely audience: Product managers

2 shared topics

SubstackDaily · last post 13 days ago

The AI Engineer newsletter + Top technical AI podcast. How leading labs build Agents, Models, Infra, & AI for Science. See https://latent.space/about for highlights from Greg Brockman, Andrej Karpathy, George Hotz…

Likely audience: AI researchers

1 shared topic

SubstackSeveral times a week · last post yesterday

Data Scientist | AI/ML | Women in Data Making AI, Machine Learning and Data Science easier to understand - one concept at a time

Likely audience: Data scientists

1 shared topic

SubstackWeekly · last post 13 days ago

The most important artificial intelligence and machine learning links of the week.

Likely audience: AI researchers

1 shared topic

SubstackMonthly or less · last post 42 days ago

(🎖️TOP 3 más leído en Substack España) • IA para Emprendedores 🚀 Domina la IA antes que nadie y obtén una Ventaja injusta • TRABAJA MENOS ⮕ GANA MÁS

Likely audience: ML engineers

1 shared topic

SubstackWeekly · last post 3 days ago

Deep, research-driven explainers for AI engineers.

Likely audience: ML engineers

1 shared topic

SubstackSeveral times a week · last post 4 days ago

Weekly tutorials and news on adapting large language models (LLMs) to your tasks and hardware using the most recent techniques and models. The Kaitchup proposes a collection of 180+ AI notebooks regularly updated.

Likely audience: AI researchers

1 shared topic

SubstackWeekly · last post 7 days ago

From recent posts: Writing Wednesdays publishes weekly essays on AI detection, writing habits, and content creation strategies for writers and marketers. The publication mixes in-depth articles on algorithmic challenges and stylistic…

Likely audience: Tech enthusiasts

1 shared topic

SubstackMonthly or less · last post Aug 11, 2026

From recent posts: Unsloth AI publishes weekly technical updates on open-source LLM training and inference optimization, focusing on software releases, hardware support, and performance benchmarks. The publication targets developers and…

Likely audience: ML engineers

1 shared topic

SubstackSeveral times a week · last post yesterday

From recent posts: AI Engineering Insider publishes a bi-weekly magazine covering AI agent developments, hiring trends, and technical guides for engineers. The publication mixes in-depth articles on system design and interview preparation…

Likely audience: AI engineers

1 shared topic

SubstackMonthly or less · last post 37 days ago

From recent posts: Designing with AI publishes technical deep dives into AI agent architectures, model specifications, and mathematical proofs, alongside practical reviews of tools like Jev and Claude Design. The publication targets…

Likely audience: ML engineers

1 shared topic

SubstackSeveral times a week · last post 2 days ago

From recent posts: Ignite Insights publishes a weekly newsletter mixing AI industry news articles and podcast episodes covering infrastructure, security, and enterprise applications. The content targets professionals and founders…

Likely audience: Venture capitalists

1 shared topic

SubstackMonthly or less · last post Sep 3, 2026

Lessons from building an AI product at RunLLM and the latest AI research at Cal.

Likely audience: ML engineers

1 shared topic

SubstackMonthly or less · last post 36 days ago

From recent posts: Wells $treet publishes a weekly mix of essays on technology, business, culture, and personal reflection, featuring topics such as AI tools, customer service trends, and retirement. The publication targets an audience…

Likely audience: Journalists

1 shared topic

SubstackEvery two weeks · last post 35 days ago

Get a digest of new AI research, how-to guides, and top models.

Likely audience: LLM researchers

1 shared topic

SubstackMonthly or less · last post 14 days ago

From recent posts: tech by Ruchi publishes weekly articles on AI engineering hiring trends, advanced terminology, and practical guides for building production-ready models and agents. The content targets developers and job seekers…

Likely audience: ML engineers

1 shared topic

SubstackEvery two weeks · last post 17 days ago

My personal public journal. Reflections on cutting-edge systems, career pivots, and the mindset of an engineer in the age of AI.

Likely audience: ML engineers

1 shared topic

SubstackEvery two weeks · last post 22 days ago

A deeply researched weekly newsletter exploring how to effectively and responsibly integrate AI into products and the broader implications of these powerful new “intelligent” systems.

Likely audience: ML engineers

1 shared topic

LinkedInEvery two weeks · last post 22 days ago

Top new AI models, news and papers discussed

Likely audience: ML engineers

1 shared topic

LinkedInEvery two weeks · last post 21 days ago

As veteran open-source contributors, we will share insights and innovation for different project. Welcome any feedback.

Likely audience: Inference Engineers

1 shared topic

LinkedInEvery two weeks · last post 11 days ago

Riffing on all things technology, sales, marketing, and competitive intelligence

Likely audience: AI infrastructure engineers

1 shared topic

LinkedInWeekly · last post 8 days ago

Weekly SEO tips, Google updates, AI search strategies, local SEO, backlink tactics, and digital marketing insights to he

Likely audience: Content creators

1 shared topic

LinkedInMonthly or less · last post 12 days ago

Your weekly digest to master AI, Engineering, Leadership.

Likely audience: ML engineers

1 shared topic