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Isaac
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Isaac
@Isaacdev0
22 | Building @ScrollFocusApp to help you stop mindless scrolling & regain focus.
↓ Download ScrollFocus below Katılım Mart 2026
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@Isaacdev0 Hey Isaac — I’m building an AI SaaS for learning English ! Let’s connect brotha!
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@Isaacdev0 Finally I shipped CodeBreak last night
x.com/jagbuilds/stat…
Jagadeesh@JagBuilds
Today I shipped my first-ever product. It's called CodeBreak. A macOS Companion for Claude Code developers, a little pixel-art character that walks along the bottom of your screen while CC runs, then goes absolutely feral when your task finishes. I've been building this for weeks. I'm nervous and excited and I just want people to use it. $7. One-time. Everything included. No subscription. thecodebreak.com
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@Isaacdev0 Let's goo, grow together, Full Stack JavaScript developer here
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I learned to code in 2020
Spent 3 months learning foundations.
Countless hours on stackoverflow fixing errors.
Then got a job as a dev to learn a bit about infrastructure.
After ~1.5 years…
I finally started building my own apps.
Now?
People learn foundations with AI in a few weeks, build apps with AI, and focus on marketing instead of spending years coding from scratch.
What took us years now takes months.
The game changed fast

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@Isaacdev0 Hi Isaac, good Sat.
Building creatives-takeover.com
Creatives Takeover gives you the structure of a top-tier accelerator without applications, cohorts, rejection, or giving up equity.
Looking to follow and support other founders as well!
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If I had 6 months to become an AI Engineer, I’d do this.
Stage 1 - Python Basics
Syntax, loops, functions, OOP, NumPy, Pandas.
Stage 2 - Math for AI
Linear algebra, statistics, probability, basic calculus.
Stage 3 - Machine Learning
Regression, classification, clustering, metrics (scikit-learn).
Stage 4 - Deep Learning Basics
Neural networks, CNNs, RNNs, training fundamentals (PyTorch/TensorFlow).
Stage 5 - Modern AI (LLMs)
Prompt engineering, embeddings, RAG, fine-tuning small models.
Stage 6 - Build AI Projects
Chatbots, classifiers, NLP apps, image models.
Stage 7 - GenAI Tools
LangChain, HuggingFace, vector databases (FAISS, Pinecone).
Stage 8 - MLOps Essentials
FastAPI/Flask, Docker, GitHub, cloud deployment basics.
Stage 9 - Full Projects
End-to-end ML pipeline, deployed AI apps.
Stage 10 - Portfolio
5-7 polished projects with README + demo videos.
Stage 11 - Job Prep
LeetCode basics, system design basics, ML/AI interviews.
Stage 12 - Apply
AI Engineer, ML Engineer, Data/AI roles, GenAI developer.
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