Peter’s Substack
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About
Peter’s Substack is a specialized digital publication and newsletter authored by Peter Naftaliev, a seasoned software engineer and entrepreneur. The platform serves as a repository for deep-dive articles, technical tutorials, and strategic advice centered on the intersection of programming, artificial intelligence, and bootstrapped entrepreneurship. Rather than providing generic industry news, the publication focuses on non-trivial discoveries made during the actual construction of automation software that generates real-world revenue. It bridges the gap between high-level AI theory and the practical realities of shipping production-ready code. The content is driven by Peter's active involvement in the tech ecosystem, including his current work bootstrapping Rendi, an FFmpeg API, and his previous experience as the Co-Founder and CTO of Munch. Subscribers receive detailed breakdowns of programming tricks, automation workflows, and machine learning implementations. The blog often explores niche areas like 2D and 3D AI and video processing, reflecting the author's extensive expertise in vision and ML. By documenting the building process in real-time, the newsletter offers a build-in-public perspective that includes both successes and technical hurdles encountered during software development. This resource is primarily tailored for solo developers, startup founders, and software engineers who are looking to move beyond basic tutorials into more advanced automation and revenue-focused projects. It is particularly useful for those interested in the technical side of AI-driven media processing and computer vision tasks. Unlike many broad-interest AI newsletters, this publication prioritizes the technical how-to and the entrepreneurial why, providing a dual perspective that helps technical builders understand the business implications of their architecture and code choices. What distinguishes Peter’s Substack from other tech blogs is the professional pedigree of its author and the extreme specificity of its focus. Drawing from a background in complex ML and vision projects, Peter provides insights that are typically gated behind proprietary corporate walls or expensive consulting agreements. The integration with a broader community, including a dedicated YouTube channel and subreddit, ensures that the written content is part of a larger, multi-channel educational ecosystem. This makes it a comprehensive learning hub for anyone looking to bootstrap their own AI-enabled software products.
Pros & Cons
Authored by a former CTO with proven experience in building successful AI startups like Munch.
Provides practical, non-trivial code strategies for building revenue-generating automation software.
Covers specialized technical niches including 2D/3D AI and FFmpeg API development.
Integrates with a larger community ecosystem including YouTube and Reddit for multi-format learning.
The technical depth may be overwhelming for non-developers or business-only founders.
Specific posting frequency for new articles is not explicitly stated on the landing page.
Use Cases
Solo developers can learn how to build and bootstrap their own revenue-generating automation tools using practical programming tips.
Startup founders can gain strategic insights into scaling AI-driven software products based on real-world CTO experience.
Technical product managers can use the deep-dives to better understand the implementation challenges of vision and ML technologies.
Platform
Features
• programming tutorials
• build-in-public documentation
• entrepreneurial lessons
• vision software tips
• ai/ml insights
• revenue-focused strategies
• automation case studies
• technical deep-dives
FAQs
What kind of content can I expect from Peter’s Substack?
Subscribers receive deep-dive articles focused on programming, AI, and entrepreneurship. The content specifically highlights non-trivial discoveries made while building revenue-generating automation software and provides practical lessons for developers.
Who is the author of this publication?
The blog is written by Peter Naftaliev, a software engineer and entrepreneur who was the Co-Founder and CTO of Munch. He currently works on Rendi, an FFmpeg API, and runs the 2d3d.ai YouTube channel.
Are there other resources associated with this blog?
Yes, the author also moderates the r/2d3dai subreddit and manages a YouTube channel dedicated to 2D, 3D, and AI. These platforms complement the written technical strategies shared in the newsletter.
Pricing Plans
Free
Free Plan• Weekly newsletter updates
• Access to programming tips
• Automation software insights
• Entrepreneurial case studies
• Technical deep-dives
• Build-in-public stories
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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