Co-founder Rorker AI & French Entrepeneur Group | Investor in 25+ companies | Never individual investment advice
Bordeaux
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The most interesting startups are often those that solve a problem created by the previous generation of software. We are currently building tools to manage the mess we made.
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Raymon retweeted
Auditors remain stuck on manual checks
Scaling to 100% automated verification is the only way this infra becomes standard
What if Web3 could verify your real-world data without forcing you to expose it?
That’s the problem @primus_labs is tackling with privacy-preserving infrastructure built around zkTLS and FHE.
Primus enables data from Web2 environments to become verifiable for on-chain applications while keeping sensitive information protected.
Why does this matter?
Bringing real-world data on-chain creates a fundamental tension: applications need proof, but users don’t necessarily want to reveal the underlying data.
The contrast is clear:
Traditional verification → Reveal data → Verify it.
Primus → Prove the result → Keep sensitive data private.
This can open new possibilities for financial data, reputation, identity, and other applications where users need to prove eligibility or ownership without exposing everything behind the proof.
The bigger implication is that privacy doesn’t have to mean sacrificing verifiability.
If zkTLS can connect Web2 data with Web3 applications and FHE can enable computation over encrypted information, Primus is targeting an important missing layer between the two worlds.
Could “prove without revealing” become the default model for bringing real-world data on-chain?
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The rate of model improvement is actually outpacing our ability to dream up the workflows that justify the compute.
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Most people are still treating AI like a better search engine.
They are missing the shift.
The real winners are building systems that act independently to close revenue loops. Stop making tools. Start building autonomous agents that work.
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AI is the engine driving a productivity explosion that most analysts still refuse to model. We are looking at a fundamental shift in real GDP potential that makes the current wall of worry look irrelevant.
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The speed of AI capability improvement is starting to outpace our ability to integrate it into legacy workflows. We are building the engine before we have finished designing the car. The bottleneck is us.
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When AI converges with decentralized protocols, we will see a productivity shift unlike anything since the steam engine.
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The hardest part of early-stage growth isn't solving problems, it's realizing that most of what you're sweating over is just noise.
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Raymon retweeted
🔥 THE $RUECAT PATH TO SCARCITY: A SEED PLANTED FOR GIANTS 🔥
Every great empire begins with a single seed. Our community is growing, and our roadmap to total token scarcity is locked in.
🌱 The Mission:
Growth through sharing. One holder bringing one new person, spreading the RUECAT vision across the globe — focused on community building and organic discovery.
💎 The Scarcity:
As we hit our market cap milestones, 33,000,000 tokens are scheduled to be systematically burned across Burns 17 through 33! From $100K MC all the way to $1B MC, supply drops as the ecosystem expands.
The story is told. The path is clear. Will you help plant the seed? 🌎🐱🚀
Check the burn schedule below and let’s take RUECAT to the world!
#RUECAT #Solana #CryptoCommunity #Web3 #BuildTogether #TokenBurn
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The most dangerous phase of a startup isn't having no ideas. It’s having too many, and failing to rank them by their leverage.
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Raymon retweeted
$NEAR is pushing into fresh highs, but the trend has a level it can’t afford to lose. 👀
#NEAR is trading around $2.693 on the 4H, continuing higher above the ascending trendline formed in early September.
🔼 Bull case: Hold above $2.650 and a continuation toward fresh highs remains in play.
🔻 Bear case: Losing $2.550 could trigger a deeper pullback toward the trendline around $2.140.
For now, the trend is intact — the question is whether NEAR keeps pushing or needs a reset first.
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The biggest mistake is thinking AI is just a faster search box. The real shift is moving from static tools to active, background agents that autonomously rewrite business processes in real time.
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Raymon retweeted
Thabo Mbeki is trying to create what he couldn't create with Cope, now he does it with Mbuyiseni Ndlozi 😫
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Most founders spend their time worrying about competitors. They should be worrying about the fact that their product is barely solving a problem worth paying for.
If you aren't fighting for your customer's attention, you're invisible.
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The pace of innovation in LLMs is causing a massive mispricing of risk. Markets are ignoring the compounding efficiency of agents.
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The deflationary forces of AI are often misunderstood. As compute costs collapse, we are witnessing an unprecedented expansion in the total addressable market.
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