Lawrence Rabasotho

[Lawrence Rabasotho @hazard12dance]

@rasta_syntaX Congratulations bro

[Euphonik™♛ @euphonik]

I watch this daily without fail. 42 Rules to life.

[Darshil | Data Engineer👨🏻‍🔧 @parmardarshil07]

Every data engineer wants to build pipelines that handle millions of events.

But very few know that companies like Uber, Netflix, LinkedIn, Discord, Spotify... share exactly how they built their data infrastructure — for FREE.

Research papers. Engineering blogs. Architecture breakdowns. Everything.

If you want to actually understand data engineering at scale, bookmark these 13 resources and spend 10 minutes a day reading them.

- Uber's Big Data Platform → https://t.co/Ae7y9xJp5X
- Uber's Real-time Infra (Research Paper) → https://t.co/Ds8ohdDaEU
- LinkedIn's Data Infrastructure (IEEE Paper) → https://t.co/gsQyos4bHB
- LinkedIn: 4 Trillion Events Daily → https://t.co/JhagoCzGfH
- LinkedIn: Northguard & Xinfra → https://t.co/b4nu3aPCu9
- Netflix: 4 Phases of Real-time Infra → https://t.co/LUIiC8KkqC
- Netflix Data Engineering (Video) → https://t.co/ByupxeKDOF
- Twitter: Billions of Events in Real-time → https://t.co/7BerQIlJFE
- Notion: Building & Scaling Their Data Lake → https://t.co/y8RGlWhpf1
- Airbnb: Metric Consistency at Scale → https://t.co/ZhNZImgY0F
- Spotify: Event Delivery to the Cloud → https://t.co/fTyC0IgnEn
- Walmart: Data Lakehouse with Hudi → https://t.co/qDYS8ttBsZ
- Discord: Insights from Trillions of Data Points → https://t.co/GMeAAgdnQw

[Eyo Eyo, PhD @Eyowhite3]

I’ve spent years bookmarking the best places to find data so you don’t have to.

Kaggle is just the tip of the iceberg.

These 10+ repositories are goldmines for any niche.

Steal my list here:

[Abraham Okah(info hub) @AbrahamOkah2]

40 Sites to Download Books for free

1. Planet eBook
2. Free-eBooks. net
3. ManyBooks
4. LibriVox
5. Internet Archive
6. BookBub
7. Open Library
8. BookBoon
9. Feedbooks
10. Smashwords
11. Project Gutenberg
12. Google Books
13. PDFBooksWorld
14. FreeTechBooks
15. Bookyards
16. GetFreeBooks
17. eBookLobby
18. FreeComputerBooks
19. OpenCulture
20. Library Genesis (LibGen)
21. Goodreads
22. Obooko
23. O'Reilly
24. PDF Drive
25. Anna's Archive
26. PDF Room
27. PDF Coffee
28. Dokumen Pub
29. Z Library
30. Ocean of PDF
31. Dirzon
32. Booksfree
33. EngbooksPDF
34. Elejandria
35. Espaebook
36. Wonderful Books
37. Lectuland
38. LeerLibrosOnline
39. ePubLibre
40. Standard Ebooks

[Art of Life 🦋 @Art0fLife_]

You BECOME what you think about:

[Global Statistics @Globalstats11]

50 YouTube Channels Schools Don’t Want You To Know 🤯🎓🚫

1. 📐 Khan Academy – Math, Science, Economics
2. 💡 TED-Ed – Animated lessons on every subject
3. 🔬 CrashCourse – Academic subjects, history, science
4. 💻 freeCodeCamp. org – Coding, tech, software
5. 📊 Kurzgesagt – In a Nutshell – Science, philosophy
6. 🔍 Veritasium – Science & experiments
7. 📜 SmarterEveryDay – Curiosity-driven science
8. 🧪 AsapSCIENCE – Science concepts
9. 🔨 Mark Rober – Engineering & experiments
10. 🌍 National Geographic – Nature, science, culture
11. 🌎 Wendover Productions – Geography, economics, logistics
12. 📚 CGP Grey – Society, systems, geography
13. ✍️ MinutePhysics – Simplified physics
14. 🌌 PBS Space Time – Astronomy & deep physics
15. 🧬 SciShow – Science topics
16. 🧱 3Blue1Brown – Advanced math visualized
17. 🎭 The School of Life – Psychology, relationships, philosophy
18. 🧩 MindYourDecisions – Math puzzles, logical thinking
19. 🛠️ DIY Creators – Practical DIY skills
20. 🌱 Epic Gardening – Gardening science & skills
21. 🧠 Vsauce – Curiosity, science, deep explanations
22. 🧬 ColdFusion – Technology, innovation, history
23. 🛰️ Isaac Arthur – Futurism, advanced science
24. 🤖 Two Minute Papers – AI, research explained
25. 🚀 Everyday Astronaut – Space & rocket science
26. 💻 Fireship – Tech explained fast
27. 🧠 Ali Abdaal – Productivity & learning
28. 📘 How Money Works – Finance basics
29. 💸 Patrick Boyle – Economics, finance, markets
30. 🎓 Thomas Frank – Productivity & study systems
31. 🗺️ RealLifeLore – Geography, world systems
32. 🧪 Physics Girl – Science experiments explained
33. 🌍 It’s Okay To Be Smart – Science education
34. 🧬 SciShow Psych – Psychology
35. 🛠️ Practical Engineering – Engineering explained
36. 👨‍🔬 Steve Mould – Science & quirky phenomena
37. 🎥 Vox – Global issues explained visually
38. 📊 Economics Explained – Economics simplified
39. 🔍 Aperture – Deep investigations & analysis
40. 📜 Ancient Architects – Archeology & lost history
41. 📚 History Matters – Bite-sized history
42. 🌿 Nature on PBS – Wildlife & environment
43. 🚀 Real Science – Scientific discoveries
44. 🎒 CrashCourse Kids – Learning basics
45. 🎨 Proko – Drawing fundamentals
46. 📝 EDX – University-level online courses
47. 🎓 MIT OpenCourseWare – Full academic courses
48. 🧪 Periodic Videos – Chemistry explained
49. 🔭 Fraser Cain / Universe Today – Space & astronomy
50. 🧠 Big Think – Ideas, science, expert talks

📌 If you enjoyed this, please consider Bookmarking it and sharing it with others. Also, don't forget to follow me for more content like this.🙌

[Mike Cleans @cleanwithmike]

This guy makes $200k/year.

A perfect example of how you can get rich by solving problems that people already pay for.

Bravo.

[F.O.L.A @folaoftech]

An F1 that drives itself , where engineers race with code instead of steering wheels.🏎️🏁

[Luc @investingluc]

The next big theme will be robotics.

Here's a list...(bookmark this puppy):

Logistics
$AMZN Amazon
$SYM Symbotic
$SERV Serve Robotics
$AUTO AutoStore
$GXO GXO Logistics

Robotics Software
$NVDA NVIDIA
$PTC PTC

Healthcare Robotics
$MDT Medtronic
$SYK Stryker
$ARAY Accuray
$ISRG Intuitive Surgical

Industrial Robotics
$TSLA Tesla
$HON Honeywell
$TER Teradyne
$LECO Lincoln Electric

Robotics Automation
$ROK Rockwell Automation
$ABBN ABB
$ZBRA Zebra Technologies
$CGNX Cognex
$PATH UiPath
$PEGA Pegasystems

Defense Robotics
$AVAV AeroVironment
$KTOS Kratos
$LMT Lockheed Martin
$NOC Northrop Grumman
$BA Boeing
$GD General Dynamics
$ACHR Archer Aviation
$JOBY Joby
$ONDS Ondas Holdings

Consumer Robotics
$IRBT iRobot
$RR Richtech Robotics

Specialized Robotics
$OII Oceaneering

2025 performance:

[hunter @hxxntrr]

I buy debt for 2 cents on the dollar and forgive it for $500

Not charity.
Not kindness.
Pure profit.

Buy $10K debt for $200.
Charge debtor $500 to forgive it.
They save $9,500.
I make $300 profit.

Here's the $40K/month empathy arbitrage:

The Debt Market Reality:

Old debt sells in bulk portfolios.
$1M in face value = $20K purchase price.
Collectors harass people for years.
Maybe collect 5%.

I collect 50%.
By being the good guy.

The Purchase Process:

Find debt portfolios on https://t.co/GPM8aHzKXl
Medical debt is cheapest (1-2 cents per dollar)
Credit cards (3-5 cents)
Personal loans (5-8 cents)

Buy $500K portfolio for $10K.
1,000 people each owing ~$500.

The Forgiveness Offer:

Email/text each debtor:
"I bought your $500 debt.
Pay $50 and it's gone forever.
Or pay nothing and I'll keep calling."

90% pay the $50.
They're saving $450.
Think I'm a hero.

The Math:

$500K debt portfolio
Cost: $10K
Collect: $50 x 900 people = $45K
Profit: $35K
Time invested: 20 hours

Better ROI than anything legal.

The Psychological Genius:

Debt collectors threaten and scream.
Get paid nothing.

I offer salvation.
Get paid immediately.

Same debt.
Different approach.
Different outcome.

Recent portfolio:

Bought $2M in medical debt.
Cost: $40K
Offered everyone 90% forgiveness.
Collected: $180K
Profit: $140K

Took 6 weeks.

The Reputation Management:

People post about me online:
"This company saved my life!"
"Only had to pay $100 on $3K debt!"
"They're angels!"

Five-star reviews everywhere.
While making 300% returns.

The Subscription Model:

Monthly forgiveness plan: $50/month
Forgives $500 in debt monthly.
People pay forever.
Thinking they're winning.

2,000 subscribers.
$100K/month recurring.

The Exit Strategy:

Building reputation as "ethical debt buyer"
Will sell company for 10x revenue.
Current run rate: $500K/year.
Exit value: $5M.

For buying garbage debt.
And being slightly less evil.

The Market Size:

$140 billion in unpaid debt.
Selling for $2.8 billion.
Even taking 10% is $280M opportunity.

Competition is zero.
Nobody else thought of being nice.
While still profiting.

This is capitalism perfected:
Everyone wins.
Everyone pays.
I get rich.

The system created desperate people.
I created hope.
For a price.

That's just good business

[Chidanand Tripathi @thetripathi58]

STOP SAYING “SUMMARIZE THIS” TO CHATGPT

Use these 7 smarter prompts instead:

[The Jobfather ® 🇯🇲🇨🇦🇬🇧 @TheJobfather__]

If you want to position yourself for an internal promotion, here’s a clean roadmap that actually works:

[Akshay 🚀 @akshay_pachaar]

I just built an open NotebookLM clone!

Here's what it can do for you:

- Process multi-modal data
- Scrape websites and YouTube videos
- Create a unified knowledge base
- Lets you do RAG over it
- Remember every conversation
- Generate a podcast 🎙️

The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works, by building it step-by-step!

So by the end of this video, you'll learn how to:

↳ Process multimodal data (text, audio, video, URLs, and YouTube videos) into a format ready for LLMs

↳ Store everything in a vector database for fast retrieval

↳ Add a memory layer that remembers conversations and preferences for a personalized experience

↳ Chat with your knowledge base or generate podcasts using a fully open-source, locally running text-to-speech model

The podcast generation feature is my favorite part!

There's something powerful about turning written content into conversational audio that you can listen to while doing something else.

The entire code is 100% open-source. I've shared a link in the replies!
____
Don't forget to drop a like if you enjoy my videos. It shows me I should be making more content like this.

Cheers! :)

[Quant Science @quantscience_]

This guy literally shows the code for how to automate ingesting 90,000,000 rows of financial data for his quant hedge fund:

[Gwyneth Peña-Siguenza @madebygps]

Participating in the Great Lock-In of 2025? Want to spend that time learning in-demand skills like RAG, Agents, MCP, and more?

At Microsoft, we’ve put together a free and open-source 9-part series covering the fundamentals of Python + AI, starting this October!

All you need is a basic knowledge of Python (you’ve got a month: 2 hours of daily study is plenty and there are so many free resources to learn Python) and a GitHub account.

Register to get access to all the links and resources. The series is available in both English and Spanish. 🙂

https://t.co/yy82nJ16f5
https://t.co/b16hG7xFps

[Symoné B. Beez @SymoneBeez]

Linux 101: 4 Hour Course with Yellow Tail Tech & Symone B. (Full Linux Course Red Hat & Ansible) https://t.co/FFziGuY1zJ

[Simon Späti 🏔️ @sspaeti]

Data engineering in 2025 looks nothing like it did 5 years ago. The shift from imperative to declarative is reshaping everything. From how we build, deploy, and think about data platforms.

Below are 9 concepts driving this transformation.

[B.Sc. CNE🦋🌐 @slimmdrea]

AI startups are creating new billionaires at a record pace. I looked at the lineup and I don’t see my people 😔. We need more black people starting AI companies.

[Imran Rashid☁️ @ITSupportBlog]

The full Identity and Access Administrator (SC-300) course is available from @MicrosoftLearn on YouTube!

Enjoy and don’t forget to share! 🙂

👇

https://t.co/OxcOWOrixO