Charan

@tom_doerr @itsvidhanreddy check this out

CLI for data engineering with agentic chat and semantic maps github.com/Datus-ai/Datus…

@itsvidhanreddy 💯💯💯

Oh boy this is crazy. The number of things we can do with ai agents is going to be 🚀 🚀 🚀 github.com/googleworkspac…

@itsvidhanreddy Gotta try this glaze app tho. Looks really interesting. I’ve got some ideas I want to try out. Thanks for sharing 🤝

@CharanMNX it's always the mac. Nice. Good for you. 🙂

@itsvidhanreddy Bro 😂 Wait like 3 months and join my company, I’ll gift you a Mac 😁

@minchoi That is VFX, Not AI right? It’s not AI… Right?

AI is absolutely wild... Seedance 2.0

@itsvidhanreddy It’s crazy, how the slopes are very similar tho 😂

@CharanMNX Cool I'll let you know.

Hey @CharanMNX What about you? areyougoingexponential.vercel.app Not much from my side...

@itsvidhanreddy @_buildspace You still have it!

One of the best wallpaper. Thanks @_buildspace & @CharanMNX for pointing it out!

@itsvidhanreddy Bro😭 This is why I use my own notes app 😎😏

Oh boy... Good for you @CharanMNX macboy

The quoted comment was to “what hurts more than a breakup?” from my early CS major days. I just realised that the new generations will no longer understand what this means. Also, reality check: the quoted comment might not, entirely, be true. There are a spectrum of things involved here.

@itsvidhanreddy This is exactly how I feel like right now @itsvidhanreddy 🥹 gotta update 10+ projects…

@itsvidhanreddy Noooo 😭😭😭 I just deployed my new app yesterday…

🙂

I have the same thoughts from an AI Engineer standpoint. I’ve seen people use LLMs with simple/moderate classification problems, and they didn’t bother with understanding any math or ML concepts for that. I think it’s kind of an overkill but it does the job well and it proves the point of needing to know all that. I think the stuff might still be relevant if they get into something like TinyML. I just started learning this and I happened to find those concepts a bit useful as a learner trying to build a good understanding of ML as a whole and come up with ML solutions for different problem spaces.

@trawasthi_ai I wonder your perspective, how much of classical ML is relevant with recent advances? Like building traditional classifiers is becoming less common from my perspective. Are these new AIML beginners looking for this work or to be build apps with AI? More like AI engineers

I have found a common but wrong pattern in most of the AI/ML beginners: - Study classical ML Algorithms - Train a couple of classification/regression models - Learn and train a Tree model(RF mostly) - Move to DL/Neural Networks - Train an LSTM for time series - Into Transformer - Move to the LLM world. - Then into RL. > You skipped the advanced Machine Learning technique, which is very important - Ensemble Learning(Bagging, Boosting, Stacking, etc.) > > You skipped probabilistic modeling and Bayesian methods. (Gaussian Mixture Models (GMM), Gaussian Processes, Hidden Markov Models(HMM), etc.) > If you've aspirations for research, you skipped Expectation Maximization(EM). > You skipped Convex Optimization and the mathematics of Gradient Descent (Loss landscapes, Saddle points, Learning rate schedulers, Convergence, Matrix Factorization, SVD, etc.) > You skipped Dimensionality Reduction in ML(PCA, LDA) and DL(Autoencoder, VAE, Variational Inference) > You skipped Feature Engineering and Feature Selection. > You skipped MLOps: orchestrating end-to-end ML workflow(feature store, model serving, and inference pipeline) for a live ML app. You might feel overwhelmed looking at this list, like "Oh my god, so much to learn!", but you have to accept that this field is too vast. This list could go longer, but I shed more light on the more important concepts you shouldn't ignore if you want to be a hardcore AI/ML Engineer(beyond just importing scikit-learn, PyTorch, TensorFlow librariesaries, and training models), but you might. You can't learn AI and Machine Learning in 4 or 6 months. All the courses, roadmaps, or YouTube videos/playlists related to learning ML in 4 or 6 months and becoming job-ready are incomplete.

I recently started studying about TinyML and I haven’t seen anyone talk about it here. I’m curious, has anyone here studied or worked with TinyML? If yes, what did you think about the subject? Like, did you feel excited? Like, this is gonna change the world type of feeling?

@illyism Count me in and I'll send a video rec once done. How fast are you expecting this? Is one week cool? (I work as a software engineer at a startup where all I build are Nextjs apps with a proprietary backend)

🚨 Offering $1,000 Bounty to Rebuild This App in Next.js + shadcn/ui I’m looking for a developer to fully rewrite Reddit Music Player (old CoffeeScript project) using a modern stack: - Next.js 16 (App Router) + shadcn/ui What it needs to do: - Browse subreddits → fetch posts - Extract YouTube links → build a queue - Play videos with a clean UI - Show comments, metadata, scores - Smooth navigation + fast search Goal: Same functionality as the original, but cleaner, faster, modern, and maintainable - SSR powered for SEO 👀 💰 Bounty: $1,000 (+ option for more work)

@anything LFG

Introducing Anything Max: Vibe Coding that's leaps above Lovable and Bolt We've raised money at a $100M valuation and built what we believe is the future of vibe coding. We asked 100 vibe coders to build their apps side by side on Lovable, Bolt, and Anything Max and they rated Anything Max the winner across all 3 categories - accuracy, design, and 'overall'. Here's why: • Full-stack control: Max can test backend hooks, branch database states, and debug issues, because Anything owns the full infrastructure. • Max can load up your app in its own browser and click on all buttons like a human tester to find all edge case bugs, then trace the bug across the stack - could be a frontend, backend, or a database issue (only we can do this, read #1) and autonomously fix it with 97% accuracy. Lovable and Bolt build prototypes, but Max users are building production-ready apps and already charging money for them. Blake built a gut biome app to $10K run rate Anthony built a referral tool to $20k in revenue Yuri built a suite of apps doing $40K Build your app with Max: createanything.com/max -------------------------------------------- We're hosting a $100K Hackathon to help people grow their app to $10K MRR. - We'll teach you everything we know about growing to 1M users. - You'll have 30 days to build a real product in public and get paying customers for it. If you do it well, you can start the New Year with a functioning business. Retweet and comment “LFG”, and we’ll send you a $100 discount code and the link to participate

@flpsnd Hell yeah! You'll make it! Guess this is a sign for me to get back on my feet, and my goal, haha. I'll resume today and try to catch up with you by the same time next year (hope it's that easy 😂)

@CharanMNX got a goal to hit 10km under 40 minutes by summer. gonna be hell of a grind, but we love that right

one two one two

@ericdjav Looking good already! p.s. what's the apartment rent like?

Day 1 of building a $10k MRR business in Bangkok. - environment set - 1st video recorded - habit tracker activated Dream big. Start small. Move fast.

@codewithhajra public class MyClass { public static void main (String[] args) { System.out.println("Hello World!!!"); } } And that was my first hello world program. I'll never forget this.

In which language did you first write “Hello World”? Me: cout << "Hello World!";