Good morning folks
Buzz Buzz 🐝

New day. New opportunities. New challenges.
Some things will go as planned. Some things won't.
Either way, we'll learn something from it.
Let's see what today has to teach us. 💻

#MorningBuzz

So yall been asking how I did it. Here's the full story

About 58 days ago I found an API proxy service that had Kimi K2.6 listed as a free model. No credits no trial nothing. Just a free endpoint. I tested it and it actually worked with no rate limit

I immediately set up my 2 projects to run 24/7 on auto error fixing. Basically the system takes build errors and test failures sends them to Kimi K2.6 gets the fix applies it and repeats. No me in the loop. Just machine fixing machine

This ran nonstop for 58 days straight. In that time I used 1.83 billion tokens

Why so many? Because there was no rate limit on their side. I was hitting that endpoint thousands of times per hour and nobody caught it. Kimi K2.6 is from Moonshot AI - its good at code and fast. Apparently their proxy didnt think anyone would abuse a free tier this hard

Well I did

Last night it started throwing rate limit errors. They finally noticed and shut it down. The free ride is dead

The trick was literally just: finding a free API endpoint before anyone else and using it until it broke.

DSA Peer Learning Community Update #3 📢🔥

We finally have an official name for our community:
BitCode DSA Peer Learning Community 🚀

📌 What's Done So Far

✅ The complete learning roadmap has been finalized and structured.
📅 Official Start Date: June 8 (next Monday)

🚨 Important Notice
For those who are currently unable to participate due to exams, we've grouped you together and scheduled a separate batch starting on June 25.

💡 Small steps, taken consistently, turn beginners into problem solvers.

#BitCode #DSA

MissCoder ✨

I built this last summer while learning to code, and I just opened it today.

Now I'm wondering.. is it worth finishing or not?

Built with:

* HTML
* CSS
* Vanilla JavaScript

#BeeProject

So this Equib app seems to be getting some good attention 👀

I just got another offer to build a custom Equib Manager for a different group, and we’ve already set an in-person meeting for this Sunday.

I’ll be going to the place where they actually collect the Equib, observing how they run things, and trying to adjust the current app to fit their workflow. The goal is to understand their process first and then adapt the app around their needs.

Which got me thinking...

If this actually works, this project might have more potential than I originally thought.

So if I make one sale of this project probably on the coming meeting with the client, I’m considering making the repository public as a template so any Flutter developer can use it. The idea would be simple:

* Approach potential clients
* Demo the project
* If you get the deal, customize the app to fit their specific requirements

That way, you don't have to build everything from scratch because the core Equib app already exists. You’d just need to adapt yourself to the codebase and make the necessary changes.

(Though fair warning: the codebase is a bit messy 😅)

I’ll also be posting how much I sold the app for, how the deal happened, what the client needed, and the changes I made along the way.

That means anyone interested can see the actual numbers and the full process instead of just getting a random GitHub repository.

In your case, the journey won't be as long as mine. I had to spend weeks building the app, figuring out requirements, making mistakes, and refining the workflow. If the template already exists, all you really need to do is approach potential customers, demo the app, understand their needs, and customize it for them.

And honestly, we all need to make money.

If I'm making money from this project, I'd like other developers to have the same opportunity. There's no reason everyone should have to spend weeks rebuilding the same thing from scratch when they could start with a working foundation and focus on getting clients and delivering value.

The thing is, almost all of my projects are open source, but they usually end up with no contributors, no forks, and very little activity.

So before I make this one public, I want to know:

Would anyone actually use an Equib Manager Flutter template like this?

Because if nobody is interested and it's just going to sit there like my other repositories, then it might be better for me to keep it private and continue using it for my own client work.

Curious what you all think. 🤔

#equib_manager

Anyone with flutter knowledge could be benefited from this idea .. check the post and be a contributors that's a dub if u do so 🤷‍♀️
#HoneyDrop

BUZZ BUZZ 🐝
GOOD MORNING my folks

"Wating around to feel like doing something means you will never do it "..

Let's try our best today✨️

#MorningBuzz

AI Engineer RoadMap I did for you guys

* Harvard CS50 python
* Arjan Code -> Software Design In Python
* 3 blue 1 brown -> Essence of linear Algebra and Calculus playlist
* Andre Carpathia's -> Neural Networks Zero to Hero
with Neural Network from 3 blue 1 brown

Choose open source framework between
-> langchain
-> Microsoft Agent Framework

* RAG from Scratch with Vector Database by langchain
* Creating own api using FastAPI and watching fastapi for ai project by Dave ...
* System Design Fundamentals by ByteByteGo

* Picking one cloud provider and get comfrotable with their services

if it is Azure -> az 900 certeficate and watch az 900 series

* Cloud Computing

3D Game for learning -> Server Servival


If you follow all this steps you will become AI Engineer just like me

Mebrat went all day and come now 😭😭

And it's not only today yesterday too 😪

Hey guys , How was your day ?

I couldn't get enough time to share in detail what I've been working on lately, but now that I've finally submitted and completed the project, let me walk you through it.

Since it's a Machine Learning project, there isn't much fancy UI to look at 😅. The interesting part is the idea behind it.

Imagine services like Telebirr, mobile banking, digital loans, and online payments. Every day, thousands of transactions happen, and financial institutions need a way to identify customers who might be risky before offering loans or other financial services.

So I built a Credit Risk Prediction System.The system:
->Analyzes customer transaction history
->Learns patterns from historical data
->Estimates customer risk levels
->Provides predictions through an API

Think about it this way. When someone buys airtime, sends money, pays utility bills, uses Telebirr, or performs other digital transactions, all of those activities create a transaction history. The model studies these patterns and estimates how risky or trustworthy a customer is.

One thing that excites me is that this project was built using transaction data from another country. It makes me wonder what insights we could discover if we trained a similar model using actual Ethiopian transaction data from services like Telebirr and local financial institutions. 🤔

Goood moring folks
Have a blessed Friday 💛
#MorningBuzz

This country is getting more and more miserable by the day.

No one deserves to get killed in such inhumane way , like we are some kind of barbarians.

May God bring strength for those in need , and my condolences to the families that lost their loved ones.

#saveArsi