Insights, guides & build notes

What I’m Learning & Building ✨

Friendly notes from my journey — things I learn while building in AI, SaaS, AWS, and product engineering.

10 April 20265 min readFeatured

🧠AutoResearch: A Simple Way to Build Self-Improving AI

A practical breakdown of AutoResearch: a simple loop where AI tries, gets evaluated, improves itself, and repeats using a clean 3-file architecture.

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10 April 20266 min read
🔎Vector Databases Explained Simply (With a Practical Learning Guide)
A beginner-friendly guide to embeddings, semantic search, and RAG—plus a practical roadmap to learn vector databases by building real projects.
#Vector DB#Embeddings#RAG
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11 April 20267 min read
🎬MoviePy Explained: A Beginner-Friendly Guide to Python Video Editing (With Examples)
A practical guide to MoviePy for automation and AI video pipelines: what it does, when to use it, key examples, and how it compares with FFmpeg.
#Python#MoviePy#FFmpeg
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20 February 20254 min read
🛡️Setting up OpenClaw safely on your local system with ChatGPT API key
A safe, step-by-step guide to run OpenClaw locally and connect it to ChatGPT (or any compatible API) without exposing your API key. Use environment variables, optional proxies, and local-only binding.
#OpenClaw#ChatGPT#API
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15 February 20243 min read
🚀Building scalable SaaS with Next.js and Node.js
Lessons from building production SaaS: auth, multi-tenancy, and deployment on AWS.
#Next.js#Node.js#SaaS
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20 January 20243 min read
☁️Migrating from EC2 to AWS Lambda
How we reduced cost and improved scalability by moving workloads to serverless.
#AWS#Lambda#Serverless
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10 December 20233 min read
⚡PostgreSQL performance for Node.js APIs
Connection pooling, query optimization, and indexing strategies that actually work.
#PostgreSQL#Node.js#Performance
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