tech brook

Target is to do 10h/day from next week.

@SmarthVerma29 Congrats, mast bike hai. Party 🥳🎉

I bought my first bike in my third year of college entirely through freelancing. My aim was to get it before my 6th semester began, and I made it happen—even working one extra week after the holidays ended.

Got my 2nd AWS cert. And the best part of preparation was using my own site for practing mock test. davco2.netlify.app

@snhpndy Congrats

Finally bought a laptop after surviving 3rd & 4th year on hope Ps: thank you adult money 😭

Trying to build some background animation on react. neumorui.netlify.app

Build AWS developer associate cert practice app(just for me) 😁 davco2.netlify.app

Vibe-002 Another Landing page for marketing agency using vercel v0. Link: grow-pido.vercel.app @vercel @v0

Trying to clone UI using @GeminiApp original website: hanzo.framer.website Just use @GeminiApp to create the UI below 👇

Experimenting with @GeminiApp for UI code generation. Reference: revento.framer.website Result below 👇

@piyush100x So that's why they call you piyush100x. Doing things at 100x

my first in office job salary was 35k as intern, got converted to fulltime within a month with 1L/month - since then every 6months it nearly roughtly doubled and last year my salary reached 1cr(base ofc) sitting in India. I just did what i loved, went to hackathons, won them, build products (not personal , but for companies) and went to events and talked tech.

2025, I won you. ✅ $300k+ total revenue ✅ Crossed 23k followers here This is huge for a 21 year old from Tamilnadu, India, who grew up and still lives in a village.

@Praha37v Congratulations 👏

@Motion_Viz Hey ,even I use the same approach and it really saves a lot of time . brainstorming with claud for 30-40 min to have a clear flowchart/plan really save hours while coding or vibe coding.

the biggest mistake i see people make when building AI apps? they jump straight into development. no system design. no architecture. no flowchart. just vibes and code. then they wonder why their app feels disjointed... why? users drop off after 30 seconds... why the "AI magic" doesn't land. here's what i've learned building 20+ AI projects in the last few months: the flow matters more than the features. every app follows the same skeleton: onboarding → core experience → end goal but most builders obsess over the middle (the AI part) and completely ignore the entry and exit points. think about it... >if your onboarding is confusing, users never reach the AI >if your end goal is unclear, users don't know what "success" looks like >if the middle is bloated, users get lost before they get value here's how i approach it now: step 1: define the end goal first what's the ONE thing users should walk away with? screenshot? insight? generated asset? start there. step 2: reverse-engineer the onboarding what's the minimum info you need to deliver that end goal? collect only that. nothing else. step 3: map the flow visually before writing a single line of code i use a simple diagram: onboarding → [2-3 core steps] → end goal. if it doesn't fit on one screen, it's too complex. step 4: build the skeleton first navigation, state management, data flow. the AI integration comes LAST, not first. the apps that feel magical aren't doing more AI — they're doing better architecture. your users don't care about your model. they care about getting from A to B without friction. next time you start a project, spend 30 minutes on the flowchart before you touch the code. you'll save yourself 30 hours of refactoring later.

@Motion_Viz @The_Sein_ It look good. I use google AI studio right now. But definitely try mobbin and @v_computer. Here is what I have built - davco2.netlify.app - neumorui.netlify.app

@The_Sein_ websites i build for people : apply.agentintegrator.io - @ damianplayer (X) pjc-media.com - @ pjc media (Insta) and 2 more under work. - all in last 2 months alone. Shifting to APP dev for next projects. will update later for sure.

how I will be building apps in 2026: most people: idea → figma → code → debug → ship (3 months) me: idea → Claude Code → Mobbin → Vibecode → ship (3 days) the workflow: STEP 1 — CLAUDE CODE (Planning) → describe your idea in plain english → Claude writes full PRD: user flows, features, edge cases → outputs technical architecture + component breakdown → no guessing. no "I'll figure it out later" STEP 2 — MOBBIN (UI References) → search real apps, not dribbble concepts → find patterns that actually work in production → screenshot flows: onboarding, dashboard, settings → real apps > designer fantasy STEP 3 — VIBECODE (Build) → feed PRD + Mobbin references → @v_computer generates full frontend + backend → iterate in natural language → ship same day the secret: planning with Claude Code Opus 4.5 first. 90% of build problems come from bad specs. Claude eliminates ambiguity before you write a single line. like + reply "WORKFLOW" for the full breakdown + my Claude prompts. (must be following for DM)

@StackDhruv Congratulations 👏

got my first freelancing client from X :) just start posting !!! you’ll find one too

@goyalshaliniuk Half way through the video. And his way of explaining things are just amazing

Want to learn AI/ML but don’t know where to start? These YouTube channels will guide you step by step. Whether you're building Agentic AI workflows or just starting with Python, this llist covers everything: 1. Agentic AI & ChatGPT Watch creators like Krish Naik and Freecodecamp for hands-on projects with GPT, LLMs, and automation tools. 2. Machine Learning & Deep Learning Explore channels like StatQuest, Yannic Kilcher, and DeepLearningAI for algorithm intuition and implementation walkthroughs. 3. Python & Data Science From Corey Schafer to Ken Jee, these channels help you master the foundations of Python, analytics, and deployment. 4. Math for AI Need help with the math behind the models? Start with 3Blue1Brown, Khan Academy, and PatrickJMT. 5. Big Data & Data Engineering Follow Alex The Analyst, edureka!, and Data Engineering to scale your AI pipelines and manage large datasets. 6. Tools, Productivity & AI Assistants Stay up to date with Ansh Mehra, Jeff Su, Skill Leap AI, and Howtoai to explore ChatGPT hacks, AI agents, and productivity automation. Start with 1–2 channels that match your current level and niche. Be consistent, practice what you watch, and explore new tools as you grow.

What is this? And is it true?

If I knew Medium pays this much for writing just 32 articles. I would've started way earlier. P.S. but my Medium account got suspended 😭

@Sidhart64113485 @piyushgarg_dev @kubernetesio His explanations are too good. Currently watching his "How video streaming work breakdown" to build a video streaming app

Another master-level project idea just clicked Watched a system design breakdown of Kubernetes by Piyush Garg, and it completely changed how I think about distributed systems. Instead of just using Kubernetes, I started asking: “How does this actually work under the hood?” Key takeaways from Kubernetes architecture: >Control Plane acts as the brain ->API Server is the single source of truth ->Scheduler decides pod placement ->Controller Manager maintains desired state ->etcd stores cluster state reliably >Kubernetes workflow (simplified): ->User submits desired state (YAML) ->API Server validates & stores it in etcd ->Scheduler assigns pods to nodes ->Kubelet runs containers on nodes ->Controllers continuously reconcile failures Huge thanks to @piyushgarg_dev for the clarity and inspiration 🙌 Time for deep R&D and hands-on learning. Building systems > just using tools. #Kubernetes #SystemDesign #DistributedSystems #DevOps #CloudNative #BackendEngineering #BuildInPublic #LearningByBuilding