Lutschippi 🇺🇲

Founder of TechCrunch, @figma and Arrington Capital. Be Excellent To Each Other. e/acc 🚀🌕

[Lutschippi 🇺🇲 @Lutschippi]

I spent months compiling everything I wish I had when I started in data engineering.

Introducing dehub engineer — a free, open-source knowledge hub covering:
🔁 Pipeline architecture & orchestration
🗄️ SQL patterns & query optimization
⚡ Streaming vs batch processing
🏗️ Data warehouse & lakehouse design

No paywalls. No newsletters. No fluff. Just the stuff that matters on the job.

Star it → https://t.co/Btf1sMuVjl

If this helps even one person land a DE job or pass a system design interview, it was worth building. 🙏

[Lutschippi 🇺🇲 @Lutschippi]

📢 Update: Our official Contract Address is now displayed on the website. Visit https://t.co/6aTNPLCRTH to verify and copy it directly. Always use the address from the official site only.

[Lutschippi 🇺🇲 @Lutschippi]

🚀 The Data Engineering Handbook is live on @EasyA Kickstart
Everything you need to become an extraordinary data engineer — curated, opinionated, no fluff.
Fair launch. No presale. Bonding curve open now.

📖 $DEHUB

Ca : BrSTpWXM9qtcUA4FX65s54XMpqhSWWTzZjQV9dnEASY

→ https://t.co/uI6UWiTurv

[Lutschippi 🇺🇲 @Lutschippi]

🚀 The Data Engineering Handbook is live on @EasyA Kickstart
Everything you need to become an extraordinary data engineer — curated, opinionated, no fluff.
Fair launch. No presale. Bonding curve open now.

📖 $DEHUB

Ca : BrSTpWXM9qtcUA4FX65s54XMpqhSWWTzZjQV9dnEASY

→ https://t.co/uI6UWiTurv

[EasyA Kickstart @EasyA_Kickstart]

launch, back and trade the next big thing on kickstart

https://t.co/NYo5wUnkYa

[Lutschippi 🇺🇲 @Lutschippi]

@EasyA_Kickstart gEasyA

[Dom Kwok | EasyA @dom_kwok]

@Lutschippi gEasyA!

[Lutschippi 🇺🇲 @Lutschippi]

I built a data engineering quiz that most senior engineers still struggle with.

Topics covered:
→ How does exactly-once delivery actually work in Kafka?
→ When do you partition vs cluster in BigQuery?
→ What's the real difference between a data lake and a lakehouse?
→ When does a star schema beat a snowflake schema?

If you can answer all of these confidently, you're probably already a Staff DE.
If not — I've got you covered.

Free quiz + full reference hub at https://t.co/jdCzB6kFOD

Drop your score below 👇 (no shame — this is how we all level up)

[Lutschippi 🇺🇲 @Lutschippi]

@colosseum Congratulations the winner 🏆

[Colosseum @colosseum]

1/ Announcing the winners of the Solana Frontier
Hackathon!🏔️

Read about the winners & honorable mentions: https://t.co/9HXbhNtkU2

The subset of winning teams accepted into our VC fund's next accelerator cohort will be shared in the coming days.

Congrats to all! 🏆

[Phil Kwok | EasyA @kwok_phil]

congrats to the @colosseum hackathon winners!

if you didn’t win, ping me!

there were so many awesome projects we’d love to support.

[Lutschippi 🇺🇲 @Lutschippi]

@dom_kwok gEasyA

[Lutschippi 🇺🇲 @Lutschippi]

The data engineering space moves FAST.

Spark, dbt, Kafka, Flink, Iceberg, Delta Lake, duckdb, Airflow, Dagster — new tools drop every quarter and the learning curve never ends.

So I built https://t.co/afqWSBV3Sf — a focused, up-to-date reference that cuts through the noise and covers what you actually need to know:

✅ Core pipeline concepts
✅ SQL & analytical query patterns
✅ Streaming fundamentals
✅ Warehouse & lakehouse architecture
✅ Interactive quiz to test your knowledge

100% free. 100% open source.

Bookmark it now, thank yourself later → https://t.co/jAMzcz7Ftf

RT to help a fellow data engineer 🔁

[Devin Jameson @devinjameson]

Anthropic will say things like, “Loops write 30% of our code,” and then burn an unfathomable number of tokens just to ship remarkably mid software.

The models are amazing. Claude Desktop and Claude Mobile? Genuinely bad. And apparently increasingly loop-generated.

It all feels backwards. It feels like a strategy to increase usage because loops can run 24/7. Anthropic benefits from the increased token usage, while the rest of us get more slop.

And I don’t just mean code slop. I mean product slop, design slop, prose slop. Another calorie-tracking app. Another landing page with *that* aesthetic. Another article that uses the term “load-bearing.” The progressive convergence of the web toward the mean.

No one wants this. We want less software that’s more thoughtfully crafted. And I don’t think we’re yet at the point where looping agents are going to give us that.

Or maybe I’m just a Luddite.

[Wise @trikcode]

Why are we even calling them "agents" instead of "scripts that use LLMs"?

Because most "agents" I've seen are just:
1. Prompt
2. Call API
3. Parse response
4. Loop

That's... a script.

[Thelma Etuk @officialladi_T]

Hey algorithm...

Connect me with people who love:

🤖 AI
📊 Data Analysis
📈 Data Science
💻 Excel, SQL, Power BI & Python
🔍 Problem-solving
🧠 Critical Thinking
📚 Continuous Learning
📝 Building Projects
📖 Sharing Knowledge
🚀 Tech

If that's you, let's connect 😊

[Lutschippi 🇺🇲 @Lutschippi]

Just shipped something I've been building for the data engineering community 🔧

Data Engineer Hub — your go-to reference for pipelines, SQL, streaming, and warehousing concepts. All in one place, no fluff.

And yes, there's an interactive quiz to test how sharp your DE skills actually are 🧠

Open source → https://t.co/Btf1sMuVjl

Drop a ⭐ if you find it useful. Building this in public. Feedback welcome.

[Aditya @Aditya_181105]

Most useless degrees to get in 2026

Finance & Accounting
Data science
Law
COMPUTER SCIENCE
Physics
Cybersecurity
Business administration
General communications

[Shub @shub0414]

Two system design engineers designed messaging.

Design A👇🏻

Apache Kafka

Design B 👇🏻

RabbitMQ

Which one will you ship to production and why?

[Rahul @sairahul1]

🚨 Anthropic's CEO: "software engineering will be fully automated in 12 months."

two types of people right now:

type 1: opens Claude, types something, gets an answer, closes the tab. thinks they're using AI.

type 2: knows the hidden features, settings, and shortcuts. runs Claude like a power tool.

type 1 gets surprised in 12 months.
type 2 built the advantage already.

bookmark this. read it today.

[Thomas Trimoreau @TTrimoreau]

Devs, What are you building right now?

-App
-Startup
-Saas

[Lutschippi 🇺🇲 @Lutschippi]

Hot take: most data engineers learn 80% of their stack from scattered docs, random blog posts, and Stack Overflow at 2am.

So I built Data Engineer Hub — a focused knowledge base covering the stuff that actually matters on the job: pipelines, SQL patterns, streaming architecture, and warehouse design.

Free, open source, no login needed.

👉 https://t.co/Btf1sMuVjl

RT if you know someone breaking into data engineering 🔁