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🧵1/8 How I went from $1,000 → $100,000, then back down to $0 and now eventually to 7 figures 👑
Started as a college student with $1,000, I had no experience, just willingness to take risks
I had no idea crypto would completely change my life
You wont believe how good these 2 things are: zkFHE and zkTLS by @primus_labs
Let me explain them in the simplest way possible
=> zkTLS
helps you prove that information from a website is real without exposing all your private data
Imagine proving your Binance trading results without showing everyone your entire account that's the kind of thing zkTLS can help make possible
=> zkFHE
is about doing calculations on encrypted data without needing to reveal the original information think of it like solving a maths problem while keeping the numbers hidden
So what is Primus working toward with these technologies?
Making online data more verifiable while protecting privacy opening the door to applications in DeFi trading verification, AI, and other Web3 use cases
=> Why is this good?
Users can prove more while exposing less and developers can build applications that don't have to rely blindly on screenshots or trust-based claims
Privacy and verifiable data are going to matter a lot as Web3 and AI grow
🤝 Paid partnership
Have you guys wondered what makes real-world data valuable?
@vangrid_io focuses on capturing real places and turning that footage into data that can support Physical AI
Different environments bring different challenges, from narrow indoor spaces to busy outdoor areas
The goal is to give intelligent machines a better understanding of the world they may one day work in
🤝 Paid partnership
I know everyone loves vibe coding these days but the real pain is still there
You sit and watch the screen while the agent keeps asking for permission one by one
Then CI fails and you have to jump back in again
@SuperPlanehq just launched 1.0
It is an open source software factory for engineering teams that handles this coordination for you
It scans the
-> backlog
-> picks the right tickets
-> runs the agent
-> works through the CI failures
-> and only brings the result to you when it is ready for review
That is the part most of us still do by hand
🤝 Paid partnership
Last month, 52% of the pull requests our team merged were automated through SuperPlane.
Today, we’re launching @superplanehq 1.0: an open source software factory for engineering teams.
We built it because using a coding agent can feel like becoming its assistant.
Starting sessions. Checking its work. Chasing failing CI.
SuperPlane takes on that coordination:
- Scans your backlog and proactively picks up tickets suited to automation.
- Runs a coding agent and verifies the result.
Works through CI failures and review feedback.
- Your team reviews the evidence and decides what ships.
The setup, instructions, and standards are shared across the team. When someone improves the process, everyone benefits.
Choose your agents and models. Run it on your own infrastructure.
We spent more than a decade building CI/CD at Semaphore. We’ve seen how much teams can accomplish when routine work runs reliably in the background.
Now we’re bringing that approach to coding agents.
Here’s how it works:
RIPPLE JUST GOT FULL FEDERAL APPROVAL FOR ITS TRUST BANK
What does this actually mean?
Think of it as another layer of government oversight for Ripple's crypto business
-> It can manage reserves backing RLUSD
-> It can provide digital asset custody for businesses
-> It adds federal supervision alongside existing New York state oversight
Important: This doesn't mean ripple:native will automatically rise
But it could help Ripple build more trust with institutions
Crypto and traditional finance are getting closer
Mapping places cars cannot reach
Mapping vehicles are useful, but they cannot enter every space
Think about staircases, indoor corridors, loading areas, and tight spaces inside buildings
@vangrid_io uses smartphone captures to help bring these places into the digital world
This could make a real difference for robots that need to work beyond ordinary roads
🤝 Paid partnership
ANTHROPIC IS TAKING A BIG STEP TOWARD GOING PUBLIC
The company behind Claude has officially filed its S-1 with the SEC planning to list on Nasdaq under the ticker $ANT
Roumers says IPO is coming in the last November of 2026, and valuation may cross $2 trillion
The AI race is getting bigger, and now public-market investors could soon get a chance to join it
So BLOOM SUFFERS A $947K SECURITY BREACH BUT PROMISES TO MAKE USERS WHOLE
@BloomTrading confirmed that 49 wallet addresses belonging to 9 users were affected, with around 9,408 solana:So11111111111111111111111111111111111111112 stolen.
The attack exploited a third party module through a Remote Code Execution (RCE) vulnerability
Bloom says no private keys were compromised and has promised to reimburse 100% of the stolen funds directly to new secure wallets chosen by affected users
The team is also tracing the stolen SOL and exploring recovery options
A serious security incident but now the big question is
How quickly will users get their money back?
Turning videos into useful data
A video is more than a collection of moving images.
@vangrid_io uses smartphone captures to help create textured 3D models of real places.
These models can give machines a better view of the spaces they need to understand.
It is a simple idea with an important goal: turn everyday footage into data that helps Physical AI grow.
🤝 Paid partnership
You know bittensor compute subnets are collectively reaching $20M+ in ARR
=> Targon leads with $10.4M
=> Lium with $5.3M
=> And Chutes at $4.3M
Decentralized AI compute is turning into a real business, not just a narrative
🚨 Someone has just SHORTED bitcoin:native with 40x leverage.
- 196 bitcoin:native position size
- $80,465 entry price
- $81,483 liquidation price
- $15.7M in total trading size
He was sitting on $23k in unrealized profit, with the liquidation price just $1,173 away.
You know what? the world is bigger than any map
Traditional mapping systems cannot capture every corner of the world
@vangrid_io takes a different approach by using people and their smartphones to collect real-world data
From narrow hallways to busy streets more places can become part of the growing data network
Better coverage means more information for machines learning to navigate the real world.
🤝 Paid partnership
One thing that I noticed is whenever the oil price spikes, all the crypto assets will go down
OIL is up for the last 7 days, and the market is getting down today. OIL crossed $101, and the whole market got dumped
- HYPE ~ below $75
- BTC ~ below $80,000
- SOL ~ below $100
Is this happening because of Middle East problems or what?
Does anyone know if Hyperliquid also had a prediction market? which calls Hyperliquid outcome
But it looks like it's not performing well because you can see 7-day revenue is only $23k while the fees are only $73k
And if you compare it with Polymarket, then it looks like Hyperliquid is very poor
But when you come to Perps, Hyperliquid becomes top. And for prediction, Polymarket takes it
In short, both are very good at their own field, not others.
What did you like most, Prediction or Perps?
You know? your phone could help train robots
Your smartphone can do more than take photos and record videos.
@vangrid_io turns phone-based captures of real places into useful data for Physical AI
This data can help build 3D models that robots and autonomous systems use to understand the world.
Your phone could become part of the next big step in robotics.
🤝 Paid partnership















