altScope

Innovative software solutions and cutting-edge digital marketing. Transforming ideas into success. 🚀 #Tech #DigitalMarketing #Innovation

[0xMarioNawfal @RoundtableSpace]

ANTHROPIC PAYS $750,000 A YEAR FOR ENGINEERS WHO UNDERSTAND WHY AI WORKS.

STANFORD JUST PUT THE SAME KNOWLEDGE ON YOUTUBE FOR FREE.

WATCH IT THIS WEEKEND. NOT EVENTUALLY. THIS WEEKEND.

[Neyazuddin Ansari @riyazz_ai]

🚨 Sam Altman literally gave a 43-minute masterclass on turning ideas into billion-dollar companies.

Most people will never watch it.

And instead of hype, he broke down what actually makes startups work.

No fluff. Just reality.

He explained that ideas don’t matter nearly as much as execution. The difference between something small and something massive isn’t the idea it’s how relentlessly it’s built and improved over time.

He also emphasized that the best founders don’t chase everything. They focus on one thing that truly matters and push it forward with extreme clarity. Distraction kills more startups than competition ever will.

And then there’s scale. Truly big companies aren’t built for a niche they solve problems that millions of people care about. If the market isn’t large enough, the outcome won’t be either.

His biggest insight? Startups don’t win because they’re smarter they win because they stay in the game longer and iterate faster.

That’s why this masterclass stands out.

Because while most people are waiting for the perfect idea…

The best ones are already building.

[Kirill @kirillk_web3]

CLAUDE FULL COURSE 4 HOURS

This is the most detailed Claude guide I’ve seen online.

Bookmark this before you forget.

4 hours.
Build tools.
Automate work.
Learn how people build bots and systems.

Claude → Tools → Automation → Products → Money

[0xMarioNawfal @RoundtableSpace]

THIS ANDREW NG STANFORD LECTURE WILL TEACH YOU MORE ABOUT WINNING IN AI THAN ANYTHING YOU'VE SCROLLED THIS YEAR.

WATCH THIS NOW OR BOOKMARK FOR LATER.

[Noisy @noisyb0y1]

This 2-hour lecture by Andrej Karpathy - co-founder of OpenAI, the man who coined "vibe coding" - will build GPT from scratch and show you exactly why message 30 costs you 31x more than message 1.

Bookmark this & give it 2 hours today, no matter what. It's the best thing you can do for your Claude budget. Then read the article below.

After this, you'll never pay for tokens Claude spends talking to itself again.

[Carver @carverfomo]

A Chinese engineering student spent $4,000 on two Mac Studios and a Mac Mini. Put them on his desk. Labeled each one with a sticky note: UI/UX. DEV. ADMIN. Connected two monitors. Satellite maps on both screens.

His parents thought he was building a startup. His professors thought it was a thesis project. His roommate thought it was overkill for homework. He let all of them keep thinking that.

Then someone noticed what the three boxes were actually connected to.

A wallet. Making $104K. Betting on the temperature.

ColdMath. $104,642 profit. 5,470 predictions. Joined November 2025. Bio: Edge Compounds.

→ https://t.co/iJLnXKdlnh

Two Mac Studios and a Mac Mini doing one thing. Claude pulls live pilot weather data. METAR. TAF. Real sensors from real stations. Updated every 1-3 hours worldwide. Temperature accurate to a tenth of a degree. The DEV box compares it to prediction market prices. When they don't match the UI/UX screen flashes. The ADMIN box logs the trade.

Flash. Trade. Green.

$25 on Tokyo hitting 16C on March 20. Payout: $12,452. $24 on Chicago reaching 54F on March 11. Payout: $12,398.

Eleven dollar bets returning five thousand. On the temperature in a city most people can't find on a map.

A friend who flies commercial told him pilots get atmospheric data hours before any public forecast. This data is free. Aviation safety requires it. Nobody outside of aviation even looks at it.

He looked. Pointed Claude at the feeds. Said: find me every city where the real temperature doesn't match the price.

Claude found dozens. Every single day. Tokyo. Chicago. Wellington. Atlanta. Ankara. Lucknow. Cities on six continents. All with weather stations publishing data that nobody in the markets is reading.

The three boxes run 24/7. Even when he's in class. Even when he's asleep. The satellite maps keep updating. The DEV box keeps comparing. The screen keeps flashing.

His roommate finally asked what the setup actually does. The student showed him the balance. The roommate didn't say anything. Just asked for a third monitor.

34K people watching. $94K still loaded in active positions. Two Mac Studios. One Mac Mini. Two screens. One quiet kid who realized the most predictable thing on Earth is the thing everyone ignores.

The weather.

[Simplifying AI @simplifyinAI]

🚨 Someone just built a fully open-source mocap system that works with any camera.

It's called FreeMoCap, a markerless 3D tracking system that runs on ordinary webcams. It turns multiple camera feeds into research-grade skeletal data automatically.

100% Open Source.

[Dhruv @dhruv_]

found a website where you can create, program and test electronic hardware. it already has some featured projects

really great if you want to test before building your own hardware

[Romee Panchal @romitheguru]

Machine Learning for Production course by Andrew Ng.

https://t.co/ASJ79pnEnA

[Javarevisited @javarevisited]

5 Best DevOps Courses
1. DevOps Culture - https://t.co/NxHK4PzSih
2. CI/CD - https://t.co/VSoWpkinpG
3. DevOps and Kubernetes - https://t.co/oLJJ3ZJDEP
4. DevOps Bootcamp - https://t.co/keCR83ivsn
5. DevOps: Big Picture - https://t.co/bau0Ty9dIA
more - https://t.co/w8AczqIq4F

[Amit Rajput @itsrajputamit]

Jenkins builds code from Git, creates Docker images, pushes to registry.

Kubernetes deploys images as microservices.

Prometheus monitors app health, exposing metrics for analysis.

Deployment of Multi service web app in an image ✨

[Pratik Kadam @PratikKadam_]

All the AI Builders, I just found out!

There are 16 of them!

1. Cursor
2. Bolt
3. v0
4. Windsurf
5. Replit Agent
6. Loveable
7. DevinAI
8. Pear AI
9. Github Copilot inside Vscode
10. Github Spark
11. IDX by Google
12. webfraw .ai
13. UIzard
14. Amazon Q Developer
15. ChatGPT inside Mac app
16. Softgen AI

Comment below if I might have forget some.

How many of them have you used?

I have used 7.

[Tech Fusionist @techyoutbe]

Cloud Automation (Tools that can help in different scenarios/situations)🚀

✅ Infrastructure as Code
├─ Configuration Management
│ ├─ Ansible
│ ├─ Puppet
│ ├─ Chef
│ └─ SaltStack
├─ Containerization
│ ├─ Docker
│ ├─ Kubernetes
│ └─ Containers as a Service (CaaS)
└─ Serverless Computing
├─ AWS Lambda
├─ Azure Functions
└─ Google Cloud Functions

✅ Orchestration and Scheduling
├─ Workflow Engines
│ ├─ Apache Airflow
│ ├─ Prefect
│ └─ Dagster
└─ Container Orchestration
├─ Kubernetes
├─ Docker Swarm
└─ Mesos

✅ Deployment Automation
├─ Continuous Integration
│ ├─ Jenkins
│ ├─ Travis CI
│ └─ CircleCI
└─ Continuous Deployment
├─ Spinnaker
├─ Argo CD
└─ Flux CD

✅ Monitoring and Observability
├─ Metrics Collection
│ ├─ Prometheus
│ ├─ Datadog
│ └─ Elastic Stack
├─ Logging
│ ├─ Fluentd
│ ├─ Logstash
│ └─ Splunk
└─ Tracing
├─ Jaeger
├─ Zipkin
└─ OpenTelemetry

✅ Self-Healing and Autoscaling
├─ Autoscaling
│ ├─ Horizontal Pod Autoscaler (HPA)
│ ├─ Cluster Autoscaler
│ └─ AWS Auto Scaling
└─ Self-Healing
├─ Kubernetes Liveness and Readiness Probes
├─ AWS Auto Recovery
└─ Azure Automatic Repair

✅ Security and Governance
├─ Identity and Access Management
├─ AWS IAM
├─ Azure AD
└─ Keycloak
└─ Policy as Code
├─ Open Policy Agent
├─ Kube-bench
└─ Falco

[Tolulope Michael fans 🇺🇸 @Tolulopefans]

Best YouTube Channels To Learn…

Cybersecurity - Tolulope Michael
Networking - David Bombal
Python - Code With Harry
React - Codevolution
UI/UX - GFXMentor
JavaScript - Traversy Media
Java - kunal kushwaha

[Dr Milan Milanović @milan_milanovic]

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲?

Have you ever wondered why companies like Netflix and Amazon seem to roll out features at the speed of light? The secret might be hidden in their tech stack based on Microservice architecture.

At its core, Microservice architecture is about breaking down an application into a collection of small, loosely coupled services. Each service runs a unique process and communicates through a well-defined API. Each service is a separate codebase, which can be managed by a small development team and deployed independently.

Key elements of microservice architecture:

𝟭. 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿: Ensures even distribution of incoming network traffic across various servers.

𝟮. 𝗖𝗗𝗡 (𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 𝗡𝗲𝘁𝘄𝗼𝗿𝗸): A distributed server system that delivers web content based on the user's location. It's about bringing content closer to the end-user, making page loads faster.

𝟯. 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆: Manages requests by directing them to the appropriate microservice using REST API or other protocols.

𝟰. 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Monitoring and coordinating the microservices, ensuring they run efficiently and communicate effectively.

𝟱. 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: Each microservice handles a distinct functionality, allowing for focused development and easier troubleshooting. They can talk with each other using RPC (Remote Procedure Call). Services are responsible for persisting their own data or external state.

𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀:

✅ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Scale up specific parts of an app without affecting others.
✅ 𝗙𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆: Each microservice can be developed, deployed, and scaled independently.
✅ 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲: If one microservice fails, it doesn't affect the entire system.
✅ 𝗙𝗮𝘀𝘁𝗲𝗿 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀: Smaller codebases mean quicker feature rollouts.

𝗗𝗿𝗮𝘄𝗯𝗮𝗰𝗸𝘀:

❌ 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: More services can lead to a more complex system.
❌ 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆: Maintaining consistency across services can be challenging.
❌ 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗟𝗮𝘁𝗲𝗻𝗰𝘆: Inter-service communication can introduce delays.
❌ 𝗘𝗿𝗿𝗼𝗿 𝗵𝗮𝗻𝗱𝗹𝗶𝗻𝗴: When an error happens, it's hard to debug why and where it happened.

While Microservice architecture isn't a silver bullet, it's a tool for modern software development. Should you use it for your project? It depends, and we will discuss more in the following days.

[Nikki Siapno @NikkiSiapno]

6 API Architecture Styles You Should Know.

API architectural styles determine how applications communicate.

The choice of an API architecture can have significant implications on the efficiency, flexibility, and robustness of an application.

So it is very important to choose based on your application's requirements, not just what is often used.

Let’s examine some prominent styles:

REST

A cornerstone in web services, REST leverages HTTP methods for streamlined operations and a consistent interface.

Its stateless nature ensures scalability, while URI-based resource identification provides structure.

REST's strength lies in its simplicity, enabling scalable and maintainable systems.

GraphQL

Whilst REST uses multiple endpoints for each resource and necessitates multiple requests to obtain interconnected data;

GraphQL uses a single endpoint, allowing users to specify exact data needs, and delivers the requested data in a single query.

This approach reduces over-fetching, improving both performance and user experience.

SOAP

Once dominant, SOAP remains vital in enterprises for its security and transactional robustness.

It’s XML-based, versatile across various transport protocols, and includes WS-Security for comprehensive message security.

gRPC

gRPC is efficient in distributed systems, offering bidirectional streaming and multiplexing.

Its use of Protocol Buffers ensures efficient serialization and is suitable for a variety of programming languages and use cases across different domains.

WebSockets

For applications demanding real-time communication, WebSockets provide a full-duplex communication channel over a single, long-lived connection.

It's popular for applications requiring low latency and continuous data exchange.

MQTT

MQTT is a lightweight messaging protocol optimized for high-latency or unreliable networks.

Its pub/sub model ensures efficient data dissemination among a vast array of devices, making it a go-to choice for IoT applications.

API architectural styles are more than just communication protocols; they are strategic choices that influence the very fabric of application interactions.

There is no best architectural style.

Each offers unique benefits, shaping the functionality and interaction of applications. It's about making the right choice(s) based on your application's requirements.

Once you've chosen your API architecture style and you're ready to start testing, Postman collections are widely regarded as the go-to solution: https://t.co/NZ5LcN8Gpd

P.S. If you like this post, then you'll love our newsletter. Subscribe here: https://t.co/wfCnjeldMh

[Hasan Toor @hasantoxr]

MIT’s free online courses are back for 2025.

No fees, just world-class knowledge.

Here are 10 courses to change your life:

[Baptiste @BaptisteVicini]

In 2014, Elon "gave away" Tesla's secrets to BWM.

Everyone thought he was crazy.

But this "act of charity" was actually the most ruthless business move in corporate history.

Here's why BMW never saw it coming: 🧵

[Rohan Paul @rohanpaul_ai]

MIT's "Mathematics for Computer Science".

A 1048 page available for Free.

Focuses on explaining the use of mathematical models and methods to analyze problems in computer science.