🚀 Looking to #connect with #developers who are serious about building.
I'm growing my network with people interested in:
🤖 AI & GenAI
💻 Software Engineering
⚛️ MERN Stack
🧩 DSA & System Design
🌐 Open Source
🚀 Startups & Building in Public
I'm not here to chase followers.
I'm here to learn, share, and build alongside people who are passionate about technology.
If you're:
- Building AI products
- Learning to code
- Working as a Software Engineer
- Contributing to Open Source
- Preparing for tech interviews
- Sharing tech content
Let's #connect ! 🤝
Reply with:
📍 What you're building
📍 Your favourite tech stack
📍 Or simply say "Let's connect" and I'll check out your profile.
The best opportunities often come from the people you meet.
#BuildInPublic #AI #GenAI #SoftwareEngineering #Programming #Coding #Developer #OpenSource #TechTwitter #100DaysOfCode #MERN #SystemDesign
Good morning tech fam ☕️
Just learning, building, breaking things, fixing them, and doing it all over again.
Some days the code works.
Some days the code teaches you patience 😂
Anyway, back to building. 🚀
Good morning, Tech Fam 👋
Bookmark this for your next Python interview 🐍
Revise these topics:
• Lists vs Tuples
• Dicts & Sets
• *args / **kwargs
• Decorators
• Generators & Iterators
• Lambda functions
• Exception handling
• OOP
• Context managers
• Multithreading vs Multiprocessing
Know the concepts. Then practice explaining them with real examples.
Good luck with your next interview! 🚀
Good morning, Tech Fam 👋
Bookmark this for your next Python interview 🐍
Revise these topics:
• Lists vs Tuples
• Dicts & Sets
• *args / **kwargs
• Decorators
• Generators & Iterators
• Lambda functions
• Exception handling
• OOP
• Context managers
• Multithreading vs Multiprocessing
Know the concepts. Then practice explaining them with real examples.
Good luck with your next interview! 🚀
This is both inspiring and a little sad.Imagine watching an entire industry evolve from punch cards to AI—and then wondering if the craft you spent your life mastering is coming to an end.Maybe software engineering isn't ending.Maybe we're just about to redefine what it means to be a software engineer.
@Sarakhan49309 AI + full-stack builder here 👋Currently learning, building, and experimenting with new ideas.Always happy to connect with people who are shipping, learning, and building in public.What are you working on right now? 🚀
🚀 Today I started exploring GitLab with Docker!
Instead of just learning GitLab theoretically, I deployed GitLab CE locally using Docker and got it running successfully on my Mac. 🐳
What I learned:
• Running GitLab CE with Docker
• Port mapping & containers
• GitLab health checks
• Local GitLab access
• Root/admin setup
• Next: GitLab CI/CD & Runners
Since I already use GitHub, the goal is to understand what GitLab adds—especially its CI/CD ecosystem.
Next stop → .gitlab-ci.yml → Pipeline → Runner → Docker → Deployment 🔥
#GitLab #Docker #DevOps #CICD #Git #LearningInPublic
Strong AI demand is clearly there—but the financing risk is getting harder to ignore.CoreWeave’s backlog and revenue are surging, yet it’s also raising its 2026 capex plan to $35–39B. (Reuters)AI infrastructure is becoming a massive opportunity—and a massive capital bet at the same time.
@unusual_whales If Trump actually moves to cut capital-gains taxes, the big debate will be investment incentives vs. the cost to government revenue.With the midterms approaching, the timing would also make the political angle hard to ignore. 📈🗳️ (https://t.co/lOCLNnplL8)
@jpshrodinger 2.1K! 🎉Grateful for everyone who follows, replies, shares ideas, and supports the journey.The conversations here make it even more worth https://t.co/w13tYbJxRq stop: 3K. 🚀
@pmddomingos 😂 Maybe.If superintelligence becomes that capable, humans might become the “fun side project” while it handles the serious work.0.1% entertainment, 99.9% civilization-scale productivity. 🤖
AI may make plagiarism harder to detect, but it could also make bad scholarship easier to expose.If AI can generate papers, it can also scrutinize citations, check claims, compare sources, and challenge weak arguments at scale.The real test won't be “Was this AI-generated?”—it'll be “Does the scholarship actually hold up?”
@paulg@lreyzin AI changes the economics of scrutiny.Humans have limited time and patience. AI can examine thousands of pages, cross-check claims, and find inconsistencies at scale.Bad research becomes much harder to hide when the cost of verification approaches zero.
@unusual_whales This could be a big deal for AI infrastructure financing.
Making it easier for data-center owners to raise capital could accelerate the massive buildout needed for AI—but fewer securitization protections also mean investors need to pay closer attention to the underlying risks.
I think the strongest criticism of “Pause AI” is centralization.
If only a handful of labs can continue developing frontier models, you could end up concentrating enormous technological power in very few hands.
But a pause doesn’t necessarily mean that outcome—some proposals specifically call for international coordination and safety standards, not permanent control by a few companies.
The better goal: make AI safer without making frontier intelligence a monopoly.
Neither automatically wins.Apps can win through distribution and network effects.
SaaS can win through recurring revenue and deep customer relationships.Ten years from now, I’d bet on the founder who solves a painful problem and builds a strong moat—not the one who picked a specific format. 🚀
@KashviArora24 Life is good when you stop chasing perfection and start actually living.Building, learning, working out, travelling, taking https://t.co/ltn60kC3xG don’t need everything figured out at 21.
Just keep moving and enjoy the process. 🚀
@zerohedge Oracle cutting jobs while massively increasing AI infrastructure spending is a pretty clear sign of where the industry is heading.
AI growth can be strong and layoffs can happen at the same time. The skill mix is changing fast.
@anjalid2006 That would be fascinating, but counting thoughts isn’t as simple as counting brain signals.
We can measure brain activity, but reliably identifying every individual thought is still a huge challenge.
If engineers ever crack it, privacy becomes the biggest problem. 🧠🔐
Interesting divergence: eToro’s crypto business is cooling, but overall trading activity and profitability are holding up.
Crypto revenue falling while profit beats expectations shows eToro is becoming less dependent on crypto volumes.
The bigger question: can equities and other products compensate if crypto activity stays weak? 📊