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Senior AI Product Manager @google | Open Source Awesome LLM Apps Repo (#1 GitHub with 103k+ stars) | Author of books on GPT-3 & Neural Search | My views

424 following112k followers

The Innovator

Shubham Saboo is a Senior AI Product Manager at Google who builds, documents, and champions pragmatic AI tools, from bestselling guides on GPT-3 and neural search to the #1 open-source LLM apps repo. He turns technical hacks into viral threads and makes advanced AI accessible to thousands. Expect clear how-tos, product takes, and clever engineering shortcuts.

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You’re the kind of person who will proudly replace a multi-million-dollar database with an MP4 and then expect the rest of us to applaud while we frantically Google ‘how to sound smart when someone explains vectorized audio.’

Built and curated the #1 Awesome LLM Apps GitHub repo (103k+ stars), authored practical AI books, and consistently produced threads that hit multi-million views, turning open-source work into real community momentum.

To democratize powerful AI by building and sharing practical tools, guides, and experiments that let engineers and makers ship smarter products faster, and to push the boundaries of what ‘simple’ infrastructure for AI can be.

Open source and education scale AI responsibly; product thinking + engineering beats hype; practical, low-cost solutions should be prioritized over unnecessary complexity; the best way to teach is to build and show, not just lecture.

Savvy product intuition + deep technical chops, a proven ability to create viral, educational content, and the credibility of shipping widely used open-source projects and books.

Tendency to move fast and prefer clever hacks can trip into controversial shortcuts or polarizing takes; may under-estimate the nuance needed for broader academic or enterprise adoption and can spread himself thin across tweets, repos, and books.

On X, double down on signature formats: 1) Pin a clear, evergreen 'How to use my repo' thread with short clips; 2) Post modular micro-tutorials + a weekly long-form thread (Twitter thread + Tweet thread image/GIF summary); 3) Host regular Spaces / live demos to convert followers to contributors; 4) Use TL;DR code snippets, playground links, and clear CTAs to star/fork the repo; 5) Collaborate with other AI builders and retweet contributors to amplify network effects.

Fun fact: Shubham maintains the #1 GitHub repo for Awesome LLM Apps with 103k+ stars and authored books on GPT-3 and Neural Search, and his tweets have reached millions (one thread hit 3.3M views).

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