Forwarded from AWS Student Builder Group @ AAU
βοΈ The wait is almost over! π
Weβre excited to officially reveal whatβs in store for the AWS Student Builder Group Launch Event!
π Special Guest Speaker
Simon Gebreselassie
Solutions Architect at AWS
Join us for an engaging session exploring AWS, cloud technology, and the opportunities within the cloud ecosystem. Whether you're starting from zero or already exploring AWS, this is a great chance to learn from someone working directly in the field. π»βοΈ
π August 15, 2026
β° 6:00 PM EAT | 12:00 PM Ethiopia Local Time
π» Online
π² Join our community:
Telegram: Join
LinkedIn: Join
Meetup: Join
βοΈ Built To Build.
Weβre excited to officially reveal whatβs in store for the AWS Student Builder Group Launch Event!
π Special Guest Speaker
Simon Gebreselassie
Solutions Architect at AWS
Join us for an engaging session exploring AWS, cloud technology, and the opportunities within the cloud ecosystem. Whether you're starting from zero or already exploring AWS, this is a great chance to learn from someone working directly in the field. π»βοΈ
π August 15, 2026
β° 6:00 PM EAT | 12:00 PM Ethiopia Local Time
π» Online
π² Join our community:
Telegram: Join
LinkedIn: Join
Meetup: Join
βοΈ Built To Build.
@filiksyos after seeing his profile, I got curious and searched about YCβ¦ and guess what I found? π
And if you have a startup idea, YC is still accepting late applications for Fall 2026 π
π Apply to YC
YC Startup School is actually online! You can attend it from anywhere, for free. π
π Startup School
And if you have a startup idea, YC is still accepting late applications for Fall 2026 π
π Apply to YC
Y Combinator
Startup School - The Best Online Resource for Founders
Learn how to start a company with help from the world's top startup accelerator - Y Combinator.
Just wanted to share something that really opened my eyes to ML
Andrew Ng has a way of breaking things down that makes even complicated concepts feel clear and easy to understand.
If youβre thinking about diving into ML, definitely check this one out.
π https://www.coursera.org/learn/machine-learning
Andrew Ng has a way of breaking things down that makes even complicated concepts feel clear and easy to understand.
If youβre thinking about diving into ML, definitely check this one out.
π https://www.coursera.org/learn/machine-learning
Coursera
Supervised Machine Learning: Regression and Classification
In the first course of the Machine Learning ... Enroll for free.
π₯1
Forwarded from Soset Hub
ααα«α α°αα α΅π
β€1
Forwarded from Kidus's Chronicles
I built Haven to solve one of the big problems in the world, currently under development and patenting the product (there is a physical product) where women can wear anywhere. We are working with multiple organisations to make this freely available to every body, the reason we are even trying to patent it
haven.kidus-yohannes.engineer
HAVEN β Women's Safety SOS
HAVEN is a women's safety platform that sends emergency SOS alerts with audio, photo, and GPS to your contacts and police instantly.
Sometimes, when you feel too comfortable, pause and ask yourself: βIs something wrong?β
One thing Iβm learning is that our habits donβt always show their consequences immediately.
Bad habits can feel good now but cost you later.
Good habits can feel uncomfortable now but reward you later.
So if youβre always choosing what feels easy, maybe itβs worth looking at where that choice is taking you.
And sometimes, the uncomfortable choice is exactly the one that helps you grow.
#Mindset
@next_commit
One thing Iβm learning is that our habits donβt always show their consequences immediately.
Bad habits can feel good now but cost you later.
Good habits can feel uncomfortable now but reward you later.
So if youβre always choosing what feels easy, maybe itβs worth looking at where that choice is taking you.
The comfort you enjoy today might be the price you pay tomorrow.
And sometimes, the uncomfortable choice is exactly the one that helps you grow.
#Mindset
@next_commit
Forwarded from Alpha Labs
Soo, I run a scooter rental business. Every rental starts with checking the customer's Fayda ID and typing their details into our system by hand. Slow, and full of typos.
The proper fix is the Fayda API. We tried. The bureaucracy defeated us before we ever got a key.
Then I realized the card already carries everything: the QR on the back holds the holder's name, gender, FAN, date of birth, face photo, and NIDP's digital signature.
So I built the missing piece and open sourced it.
fayda-decoder turns that QR into clean JSON from a simple photo of the card. It even verifies NIDP's cryptographic signature, so printed fakes fail instantly.
100% on-device, browser or Node. Nothing is uploaded anywhere.
Reads blurry, dark, photos that normal QR scanners reject. Decodes in under 100 ms.
No API key, no approval process, no permission needed.
π Live demo: https://fayda-decoder.alphalabshq.com
π GitHub: https://github.com/Alpha-Mintamir/fayda-decoder (star the repoβοΈ π«Ά )
The proper fix is the Fayda API. We tried. The bureaucracy defeated us before we ever got a key.
Then I realized the card already carries everything: the QR on the back holds the holder's name, gender, FAN, date of birth, face photo, and NIDP's digital signature.
So I built the missing piece and open sourced it.
fayda-decoder turns that QR into clean JSON from a simple photo of the card. It even verifies NIDP's cryptographic signature, so printed fakes fail instantly.
100% on-device, browser or Node. Nothing is uploaded anywhere.
Reads blurry, dark, photos that normal QR scanners reject. Decodes in under 100 ms.
No API key, no approval process, no permission needed.
npm install fayda-decoder
π Live demo: https://fayda-decoder.alphalabshq.com
π GitHub: https://github.com/Alpha-Mintamir/fayda-decoder (star the repo
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Forwarded from Eyu Devs
INTRODUCING GITSTREAK
It's pretty self-explanatory.
Open β see your grid β feel the momentum β close.
Under 5 seconds. No login. No ads. No complicated dashboards.
What makes it stick:
π₯ Home screen widget : See your streak without opening the app.
π¨ Themes : Make your contribution graph yours. Dev-coded, bold, soft - pick your vibe.
π₯ Friends : Compare grids and keep each other shipping.
Try it out β LINK
Letβs see whoβs actually shipping.
@eyudevs
It's pretty self-explanatory.
Open β see your grid β feel the momentum β close.
Under 5 seconds. No login. No ads. No complicated dashboards.
What makes it stick:
π₯ Home screen widget : See your streak without opening the app.
π¨ Themes : Make your contribution graph yours. Dev-coded, bold, soft - pick your vibe.
π₯ Friends : Compare grids and keep each other shipping.
Try it out β LINK
Letβs see whoβs actually shipping.
@eyudevs
Eyu Devs
INTRODUCING GITSTREAK It's pretty self-explanatory. Open β see your grid β feel the momentum β close. Under 5 seconds. No login. No ads. No complicated dashboards. What makes it stick: π₯ Home screen widget : See your streak without opening the app. π¨ Themesβ¦
Omg, I really like this app π₯ Seeing other peopleβs streaks actually makes me want to commit more Now I can finally keep an eye on your GitHub streak too π
The UI is so good tho⦠I should to start learning UI
The UI is so good tho⦠I should to start learning UI
Forwarded from Kidus's Chronicles
The ML Roadmap is finally live.
When I started learning ML, the hardest part wasn't the math or the code. It was not knowing what to learn next. I ended up learning everything I could find, and honestly a good chunk of it I never use. Along the way I kept notes on the parts that actually mattered, and this roadmap came out of those notes plus a lot of research on how to order the nodes properly, from fundamentals all the way to deployment.
What's in it: a checklist at every node, questionnaires to test yourself, over 80 curated resource links, and real projects built on actual datasets. It starts by figuring out where you already are and points you to the right node instead of making you start from zero. Nodes stay locked until you finish the one before it, so the path stays honest.
This is the first version and it will keep growing. I'd like to hear what the experience feels like, what's missing, and what you'd want added.
Check it live at : Link
When I started learning ML, the hardest part wasn't the math or the code. It was not knowing what to learn next. I ended up learning everything I could find, and honestly a good chunk of it I never use. Along the way I kept notes on the parts that actually mattered, and this roadmap came out of those notes plus a lot of research on how to order the nodes properly, from fundamentals all the way to deployment.
What's in it: a checklist at every node, questionnaires to test yourself, over 80 curated resource links, and real projects built on actual datasets. It starts by figuring out where you already are and points you to the right node instead of making you start from zero. Nodes stay locked until you finish the one before it, so the path stays honest.
This is the first version and it will keep growing. I'd like to hear what the experience feels like, what's missing, and what you'd want added.
Check it live at : Link