X is cool
but it gets 10x better when your timeline is full
of people who actually build things
coding • startups • AI • SaaS • design • products
If you're in that zone, say hi 👋
let’s grow together✨
They are putting DATA CENTERS in the ocean now.
Panthalassa, A startup just raised $140 MILLION to build floating AI platforms that sit out at sea.
no land. no power grid. no permits.
the ocean waves make all the electricity. the seawater keeps the chips cool.
how it works:
giant steel orbs bob up and down with the waves. that motion generates power. that power runs AI chips inside. results beam back to shore via satellite.
no cables. no grid. nothing.
backed by PETER THIEL. john doerr. marc benioff. max levchin.
company is now worth almost $1 BILLION.
first deployment hits the pacific ocean later this year.
Land is running out of space for AI. power grids are maxed out. permits take years. neighbours are filing lawsuits.
so the move is simple.
go to the sea.Panthalassa
Anthropic CEO Dario Amodei just gave the most honest review of an AI conference.
He called the India AI Summit "extremely disorganised."
Then recalled:
"There was Narendra Modi up there suddenly telling everyone to hold hands..."
and immediately started laughing.
You fly across the world to discuss the future of intelligence.
And somehow end up in a giant hand-holding ceremony.
New week of #buildinpublic 💪
What are you building this week? 📷
Looking to #connect with founders, builders, entrepreneurs, and people working on:
SaaS, AI/ML, Vibe coding, AI agents & workflows
Drop your project below.
I'd love to check it out and connect.
Databricks is a $150 billion.
Meanwhile most people still can't explain it beyond "it's like... a data thing."
Let me explain databricks in simple words
Imagine your company has data everywhere.
Sales data. User clicks. Server logs. IoT sensors.
Millions of rows. Growing every second.
Now imagine trying to run Excel on all of that.
Your laptop dies. Excel cries. Your manager yells.
That's the problem Databricks solves.
It's basically a giant shared workspace that sits on top of your cloud (AWS, Azure, GCP).
You throw ALL your data in one place they call it a Data Lakehouse.
Lake = raw messy data dumps (like S3 buckets)
Warehouse = clean structured data for analysis
Lakehouse = both. In one. No compromise.
Then your team engineers, analysts, data scientists all log in and do their thing:
→ Engineer builds pipelines to clean the data
→ Analyst runs SQL to answer business questions
→ Data scientist trains ML models on the same data
Same platform. Same data. No copy-pasting between 6 tools.
Under the hood it runs on Apache Spark a distributed engine that breaks massive jobs into tiny tasks and runs them in parallel across hundreds of machines.
So what takes your laptop 3 hours takes Databricks 4 minutes.
Netflix uses it. Shell uses it. Comcast uses it.
They just raised at a $62B valuation.
The boring summary: it's the operating system for data teams.
If you're in tech and haven't looked at this yet you're already behind.
Looking to #connect with builders & tech people on
@X 👋
If you're into:
- Startups
- Coding
- Build in Public
- AI
Let's connect and grow together! Drop a comment with what you are working on 📷 #BuildInPublic#coding#tech#startups
Trying to meet more builders on X.
If you're building a SaaS, AI tool, startup, or just sharing your journey in public, I'd love to connect.
What are you working on right now?
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~FAFO
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