Aaditya ☄️
@_AdiDev
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WebDev • AI Agents • Automation • Open Source • Open to opportunities
Joined September 2025
Hey X 👋 I’m 18 and deeply curious about tech & the impact it can create. I never chased traditional colleges — I’ve always believed skills > degrees. I’ve coded before, but without real direction. Now I’m starting fresh, the right way → with Full-Stack Web Dev 🚀 (Thread 🧵)
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Stop obsessing over what the other guy is doing. Fuck their launch. Fuck their numbers. Fuck the fact that they went viral and you did not.I do not want to hear that your skills are trash compared to theirs. Do not even let that bullshit run in your head.I care about you. What
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If I had to relearn Javascript today, I’d skip tutorials. I’d build: - A calculator - A weather app - A CRUD backend - A chatbot - A file organizer - A resume parser - A stock predictor - A job tracker Learning by building has always been effective than just binge watching.
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• Programming runs on math • Logic comes from math • Algorithms depend on math • Data structures use math • AI models are built with math • Machine learning uses math • Deep learning relies on math • Linear algebra powers math-heavy systems • Probability drives decisions
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People seem to be confused with what backend engineering really is. It is not > about a framework (fastapi, expressjs) > only what a fullstack dev needs (auth, middleware, db) > just about writing endpoints Backend engineering is a set of principles. No matter what niche you
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physics gives you read access to the universe, engineering gives you write access
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- Programming sits on maths. - Algorithms run on maths. - Every AI model is maths. - Machine learning is maths. - Deep learning is maths. - Graphics are maths. - Simulations are maths. - Cryptography is maths. - Blockchain is maths. - Data science is maths. - Optimization is
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Day 69 of my #WebDev journey..✨ Not feeling well these last couple of days, but I still checked out some public repos to stay consistent. Small steps count too. #100daysofcode
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A 15-year-old student broke the Apple ecosystem. 👀 While studying for board exams, Kavish Devar reverse-engineered AirPods to bring key features like ear detection and conversational awareness to Android. The project is called LibrePods, and it's open source. 🔓
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> be Anthropic > “programming is done in 6 months” > acquire Bun > open-source project > actively maintained by programmers > hire more programmers for Bun instead of forking it and developing it with Claude Code > “programming is done in 6 months” > repeat every 6 months
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study quantum computing. stop treating it like some mythical domain reserved for prodigies. read one introductory book cover to cover. that’s it. not a phd. not a specialization. one book. because the value isn’t in becoming a quantum researcher. the value is in expanding
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bifurcate your mind. you need two engines running in isolation. engine one: the practical layer. the external interface. the part that asks: • how do i package this • how do i say it • what do people actually hear • what timing makes sense • what channel amplifies it •
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the fastest way to become useful: pick one hard domain and tear it apart until the pieces feel obvious. you don’t need talent. you need immersion. bury yourself in the primitives. understand the lowest-level units of the craft so deeply that higher layers become trivial.
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IQ doesn’t decide how far you go in engineering. it decides where you naturally sit on the spectrum. different minds enjoy different layers of abstraction. that preference is the map. low-mid abstraction: • physical systems • mechanical intuition • hands-on
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