Aman Gupta

Instead of watching a 2-hour movie, watch this video break down how AI is about to reshape jobs, money, and power over the next decade.

How can you reach 1000 times your current level in life?

🚨 BREAKING: A developer on GitHub just built a tool that turns any GitHub repo into an interactive knowledge graph and open sourced it for free. It's called GitNexus. Think of it as a visual X-ray of your codebase but with an AI agent you can actually talk to. No server. No subscription. No enterprise sales call. Here's what it does inside your browser: → Parses your entire GitHub repo or ZIP file in seconds → Builds a live interactive knowledge graph with D3.js → Maps every function, class, import, and call relationship → Runs a 4-pass AST pipeline: structure → parsing → imports → call graph → Stores everything in an embedded KuzuDB graph database → Lets you query your codebase in plain English with an AI agent Here's the wildest part: It uses Web Workers to parallelize parsing across threads so a massive monorepo doesn't freeze your tab. The Graph RAG agent traverses real graph relationships using Cypher queries not embeddings, not vector search. Actual graph logic. Ask it things like "What functions call this module?" or "Find all classes that inherit from X" and it traces the answer through the graph. This is the kind of code intelligence tool enterprise teams pay thousands per month for. It runs entirely in your browser. Works with TypeScript, JavaScript, and Python. 100% Open Source. MIT License. Repo: github.com/abhigyanpatwar…

@stats_feed Maybe pornstar

Which jobs is 100% safe from AI?

@glencoates @OpenAI @tobi @Shopify Cool are you hiring me then 😂

Joined @OpenAI to head up App Platform and help turn ChatGPT into an OS. Last successful attempt was iOS ~20 years ago, so .. should be a cakewalk Thanks to @tobi for the opportunity of a lifetime, and 💚 to everyone at @Shopify Can't wait to coding-demo-fail on a new stage

Google sneaky just dropped one of the best AI tools ever AI Studio now let's you build apps in seconds: all for FREE You can even with one click integrate Nano Banana, Gemini, or Veo into your apps It might just be better than Lovable. Here's your full walkthrough and guide:

What is E-415?

@sama Wow we are in

we are opening our first office in india later this year! and i'm looking forward to visiting next month. ai adoption in india has been amazing to watch--chatgpt users grew 4x in the past year--and we are excited to invest much more in india!

How to be a great storyteller

Cheat code to life: Have fun. Smell nice. Hit the gym. Avoid drama. Make money. Level up your circle.

@LeadingReport @grok these people are private and they are selling to a private entity how can govt stop this

BREAKING: Texas has banned China, Russia, Iran, and North Korea from buying land in their state.

Don’t let your AI project die in a notebook. You don’t need more features. You need structure. This is the folder setup that actually ships from day one. 📁 𝗧𝗵𝗲 𝗳𝗼𝗹𝗱𝗲𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘁𝗵𝗮𝘁 𝘄𝗼𝗿𝗸𝘀 Forget monolithic scripts. You need this: /config 🔹YAML files for models, prompts, logs 🔹Config lives outside the code, always /src 🔹Modular logic: llm/, utils/, handlers/ 🔹Clean, testable, scalable from day one /data 🔹Cached outputs, embeddings, prompt responses 🔹Cut latency + save on API costs instantly /notebooks 🔹For testing, analysis, and iteration 🔹Never pollute your main codebase again 𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘀𝗼𝗹𝘃𝗲𝘀 ▪️Prompt versioning is built in ▪️Rate limiting and caching come standard ▪️Error handling is modular ▪️Experiments stay reproducible ▪️Deployment is one Dockerfile away 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗯𝗮𝗸𝗲𝗱 𝗶𝗻 1. Prompts are versioned by default ▪️Stored in prompt_templates.yaml + templates⋅py ▪️Track, test, roll back 2. Rate limiting is pre-integrated ▪️rate_limiter⋅py stops API overloads and surprise bills 3. Caching is plug-and-play ▪️Duplicate calls get stored in /data/cache ▪️Cut costs by 70% on day one 4. Each module does one thing only ▪️Models in llm/, logs in utils/, errors in handlers/ ▪️No sprawl 5. Notebooks are safely isolated ▪️Run tests and explorations in prompt_testing.ipynb ▪️Nothing leaks into production logic ⚙️ Clone the github template -> github.com/HeyNina101/gen… #aiagents

In the past, I didn't know which KPIs I need After years of struggling, I figured out which are the top ones. Here are 20 KPIs you must know:

Data Analytics from Zero to Expert A Udemy Complete Paid Course for Free for 24 Hours Applicable for First 500 People This Free Course Covers: - Excel - SQL - Tableau - Python - R Like , Retweet & Reply "Data" to get it for free [Must be following [@sakshi00112] so that I DM you

Machine Learning Time Complexities

High-value skills in 2025.

45 Quality companies:

Top 6 OOP Concepts 1. Abstraction - buff.ly/3SCXReU 2. Polymorphism - buff.ly/4cjSPuC 3. Inheritance - buff.ly/3Am9qk6 4. Composition - buff.ly/4cdXKgK 5. Overloading - buff.ly/4ch9QWz 6. Encapsulation - buff.ly/4ce6m75

Networking Commands

DevOps - Learning Resources 🔥🔥