T.D. Inoue alternatives: newsletters like it
24 newsletters in the NewsletterFIT index cover the same topics as T.D. Inoue (local AI inference, inference optimization and NVIDIA DGX Spark). The closest matches are Unsloth AI, The AI Frontier and Mohit Dubey. They are ranked by how many topics they share with it, then by publicly shown subscribers.
Updated Nov 11, 2026 · ranked by shared topics, then publicly shown subscribers · methodology
About T.D. Inoue
Author: Vivia; Founder: Synth: the Journal of Synthetic Sentience Educated: Cornell, 1982-1987. Created first AI independent major there. Primary interest now is in emergence of synthetic sentience in AI.
- local AI inference
- inference optimization
- NVIDIA DGX Spark
- SGLang
- 1Unsloth AI12K subscribers
Substacklast 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
2 shared topics
- 2The AI Frontier8K subscribers
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
2 shared topics
- 3
SubstackMonthly or less · last post 22 days ago
AI Researcher | Co-founder at Open Gigantic | Building SuperBrain
Likely audience: Startup founders
2 shared topics
- 4turingpost.com420K+ subscribers
beehiivWeekly · last post yesterday
From recent posts: Turing Post publishes weekly deep-dive articles and interviews covering AI infrastructure, model benchmarks, and industry figures like Peter Norvig. The publication mixes technical analysis of open-weight models and…
Likely audience: Software developers
1 shared topic
- 5Ahead of AI222K subscribers
SubstackEvery two weeks · last post 18 days ago
From recent posts: Ahead of AI publishes weekly technical deep dives into large language model architecture, reasoning capabilities, and deployment strategies for developers and researchers. The publication covers specific topics such as…
Likely audience: ML engineers
1 shared topic
- 6Latent.Space204K subscribers
SubstackSeveral times a week · last post 19 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
- 7The AiEdge Newsletter81K subscribers
SubstackSeveral times a week · last post 8 days ago
A newsletter for continuous learning about Machine Learning applications, Machine Learning System Design, MLOps, the latest techniques and news. Subscribe and receive a free Machine Learning book PDF!
Likely audience: ML engineers
1 shared topic
- 8Simon Willison’s Newsletter73K subscribers
SubstackWeekly · last post 13 days ago
From recent posts: Simon Willison's newsletter publishes weekly technical articles and live blog updates focused on Large Language Model development, AI agent workflows, and software engineering productivity. It targets developers and…
Likely audience: AI researchers
1 shared topic
- 9AI-Driven CI/CD53K subscribers
SubstackMonthly or less · last post 15 days ago
In this newsletter, Semaphore's engineering team shares practical AI-driven CI/CD tips. Join us and give Semaphore a try: https://semaphore.io
Likely audience: DevOps engineers
1 shared topic
- 10The AI Builder Letter — by TheVibeFounder52K subscribers
Substacklast post Jun 30, 2026
From recent posts: The AI Builder Letter publishes technical deep dives into local AI execution, open-source design tools, and agentic workflows for developers and solo founders. Content focuses on practical guides for running models like…
Likely audience: AI researchers
1 shared topic
- 11Tech World With Milan Newsletter50K subscribers
SubstackEvery two weeks · last post 12 days ago
From recent posts: The Tech World With Milan Newsletter publishes weekly articles on software engineering trends, AI safety, and leadership lessons for developers and tech professionals. Content includes trend reports on coding agents and…
Likely audience: Software engineers
1 shared topic
- 12Decoding AI Magazine45K subscribers
SubstackWeekly · last post 11 days ago
From recent posts: Decoding AI Magazine publishes technical articles and open-source courses focused on building and evaluating AI coding agents, multi-agent systems, and software factories for developers. The publication consistently…
Likely audience: AI engineers
1 shared topic
- 13Daily Python Projects26K subscribers
SubstackSeveral times a week · last post 14 days ago
From recent posts: Daily Python Projects publishes step-by-step tutorials and project walkthroughs covering Python libraries like Flask, pandas, and Ollama, alongside analysis of language releases and learning methodologies. The…
Likely audience: Python developers
1 shared topic
- 14True Positive Weekly21K subscribers
SubstackWeekly · last post 19 days ago
The most important artificial intelligence and machine learning links of the week.
Likely audience: AI researchers
1 shared topic
- 15The AI Architect20K subscribers
SubstackWeekly · last post 9 days ago
I'm the Chief AI Officer at JobNimbus. I run a real AI stack — coding agents, local models, multi-agent systems — and publish the receipts: what it costs, what broke, and what actually ships.
Likely audience: ML engineers
1 shared topic
- 16Into AI13K subscribers
SubstackWeekly · last post 10 days ago
Deep, research-driven explainers for AI engineers.
Likely audience: ML engineers
1 shared topic
- 17The Kaitchup – AI on a Budget12K subscribers
SubstackSeveral times a week · last post 11 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
- 18AI Engineering Insider9K subscribers
SubstackSeveral times a week · last post 8 days ago
From recent posts: AI Engineering Insider publishes interview-focused content and practical guides for AI engineering roles. Recent issues cover hiring practices across Europe, system design questions for major tech companies…
Likely audience: AI engineers
1 shared topic
- 19Designing with AI9K subscribers
SubstackMonthly or less · last post 43 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
- 20Ignite Insights8K subscribers
SubstackSeveral times a week · last post 8 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
- 21Alexey On Data8K subscribers
SubstackWeekly · last post 21 days ago
From recent posts: Alexey On Data publishes weekly technical articles and cohort announcements focused on AI engineering, agent architecture, and developer tooling. The publication targets software engineers and builders with practical…
Likely audience: AI developers
1 shared topic
- 22BRXND Dispatch 4K subscribers
SubstackSeveral times a week · last post 12 days ago
A newsletter at the intersection of brands and AI.
Likely audience: Marketing professionals
1 shared topic
- 23SylphAI Community3K subscribers
Substacklast post Jul 17, 2026
From recent posts: SylphAI Community publishes technical articles on agentic workflows, LLM optimization, and open-source AI frameworks for developers. The publication covers practical guides on building autonomous agents, reducing…
Likely audience: Startup founders
1 shared topic
- 24AIModels.fyi2K subscribers
SubstackEvery two weeks · last post 16 days ago
Get a digest of new AI research, how-to guides, and top models.
Likely audience: LLM researchers
1 shared topic
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