haydreon

eng + partnerships @Subzero_Labs, building @RialoHQ ex: @SuiNetwork core protocol @Mysten_Labs, @meta, @oculus

[haydreon @haydreon]

@johnvirality Views

[haydreon @haydreon]

@PrajwalTomar_ Please share

[haydreon @haydreon]

@VibeMarketer_ Durable

[haydreon @haydreon]

@stephensonhmatt @Subzero_Labs @RialoHQ @PanteraCapital @BlockScience The 🐐

[Rialo @RialoHQ]

They said it couldn’t exist. So we built it.

Rialo Stonk Crush: a proof of concept real time onchain market terminal.

Tracking 1337 live tickers, verified & settled natively onchain - with sub second proofs & zero oracles.

Live on Rialo devnet today: https://t.co/l0bCUaukuw

[Rialo @RialoHQ]

Tradfi has spoken and they want their desktop Bloomberg view.

-All the real time price data in the world at <100ms latency.
-100k+ tickers per second.
-Instanced live, today, on Rialo's Apex Network
-No middleware required

[haydreon @haydreon]

🤫

[Rialo @RialoHQ]

Sneak peek: a still of something that refuses to sit still.

From top builders, with fewer hurdles, taking bigger swings.

Built on Rialo.

[Mage @firearrowmage]

Huge thanks to our incredible backers. Your support lets us build Rialo, the first full-stack Real World blockchain that finally delivers what a decentralized programmable network was always meant to be.

Rialo is a recursive acronym of "Rialo isn't a Layer One". We didn't set out to build another L1, we wanted to solve real problems we encountered ourselves as builders. 🧵

[Mage @firearrowmage]

After 9 months building heads-down with an incredible team, we’re proud to come out of stealth and introduce Rialo, the first full-stack programmable network built for the real world.

Web3 must come to Web2.

Rialo meets you where you are.

[haydreon @haydreon]

Hello 🫶🏾

[Rialo @RialoHQ]

Say hello to Rialo.

It's the first full stack network for real world apps, bringing real users to real builders.

Why does it matter to you?

Because today’s Web3 isn’t the future we were promised.

[haydreon @haydreon]

👀

[Rialo @RialoHQ]

What if crypto was built wrong this whole time?

We optimized for speed.
We forgot the point.

Something new is coming.

[haydreon @haydreon]

@RepFine History will not judge you favorably…

[Nikita Bier @nikitabier]

Going from an office where AI researchers are building the Antichrist to my living room where my girlfriend is watching Love Island is one of the most drastic transitions in the known universe

[ade | rialo.io @itachee_x]

The only Big Beautiful Bill that matters

[haydreon @haydreon]

The “code is law” view doesn’t make sense once you remember that code is an imperfect representation of intent. Code is only law insofar as stakeholders agree to that code.

[haydreon @haydreon]

Guys, cut it out with the “Sui is centralized” crap post-Cetus hack. Do you not realize that all decentralized decision making on blockchains work through “consensus”? How is this different?

[Walrus 🦭/acc @WalrusProtocol]

Rule #1: your storage has to be decentralized

Rule #2: your data needs to be programmable (you need to be able to do stuff with it)

Here’s how we do it 🦭👇

[Matt @0xM_TT]

.@WalrusProtocol vs. The World.

Spent 48 hours dissecting Walrus' whitepaper. Here's how it out-engineers every major decentralized storage protocol (head-to-head comparisons vs. Filecoin, Arweave, Storj, Sia).

tl;dr: $WAL changes everything. Red Stuff encoding + Sui integration = Game Theory perfection.

✅ 3-5x storage efficiency (vs. 25x in Filecoin)
✅ Linear-time XOR encoding (vs. slow PoRep/RS codes)
✅ Self-healing slivers (no full re-uploads like Storj/Sia)
✅ Dynamic load balancing (avoids Sia's node bottlenecks)
✅ Real incentives (unlike IPFS' altruism model)

Head-to-Head (on key technical differentiators):

1⃣ vs. Filecoin / @Filecoin

▶️ Storage Math:
• Walrus: 3–5x overhead (via Red Stuff 2D erasure coding).
• Filecoin: ~25x overhead (full replication + Proof-of-Replication).
🏆 Winner: Walrus (massively lower storage costs / ~80% lower storage costs for the same security).

▶️ Encoding/Decoding Speed:
• Walrus: Linear-time XOR-based fountain codes (RaptorQ).
• Filecoin: Slow Proof-of-Replication (PoRep) to prevent Sybil attacks.
🏆 Winner: Walrus (faster writes/reads, no computational overhead / 1.2s Walrus encode vs 4.8s Filecoin PoRep (10GB file) / Fountain codes > Merkle trees)

▶️ Blockchain Efficiency:
• Walrus: Uses Sui for lightweight coordination (no custom blockchain).
• Filecoin: Requires full custom blockchain (high operational cost).
🏆 Winner: Walrus (simpler, cheaper, and more scalable / Estimated operational cost: $0.0001 vs $0.03 per GB/month)

Summary: Walrus wins due to lower storage costs, faster operations, and Sui integration. Filecoin’s custom blockchain and replication model are outdated.

2⃣ vs. Arweave / @ArweaveEco

▶️ Replication Strategy:
• Walrus: 3–5x erasure coding (Red Stuff).
• Arweave: Full replication (100–1000x depending on nodes).
🏆 Winner: Walrus (far more efficient).

▶️ Storage Flexibility:
• Walrus: Adjustable storage periods (up to 2 years, extendable).
• Arweave: Permanent storage only (inflexible, capital-inefficient).
🏆 Winner: Walrus (flexible, cost-effective for users / should enable storage Futures markets).

▶️ Data Recovery:
• Walrus: Sliver recovery via 2D encoding (O(1) per node).
• Arweave: Full re-replication of lost data.
🏆 Winner: Walrus (resilient to churn, faster repairs / Enterprise reality: 68% of stored data gets modified).

Summary: Walrus wins with efficient storage, adjustable terms, and better fault recovery. Arweave’s permanent model is niche and costly.

3⃣ vs. Storj / @storj

▶️ Erasure Coding Efficiency:
• Walrus: Single-pass 2D encoding (no file segmentation).
• Storj: 64MB segment limit (requires multi-segment encoding).
🏆 Winner: Walrus (simpler, faster for large files / real world impact: ~90%+ faster large file writes).

▶️ Repair Mechanism:
• Walrus: Self-healing via secondary slivers (bandwidth-efficient).
• Storj: Requires full-file re-upload for repairs.
🏆 Winner: Walrus (lower network overhead / 89% less repair bandwidth).

▶️ Tokenomics:
• Walrus: Staking-based incentives with Sui integration.
• Storj: Centralized payment layer (weaker Sybil resistance).
🏆 Winner: Walrus (decentralized, aligned incentives / 13x higher attack cost with Walrus).

Summary: Walrus wins with superior encoding, self-healing, and decentralized economics. Storj’s segmentation and repair are impractical at scale.

4⃣ vs. Sia / @siafoundation

▶️ Erasure Code Type:
• Walrus: Fountain codes (RaptorQ) for fast recovery.
• Sia: Reed-Solomon (slow, resource-intensive).
🏆 Winner: Walrus (better for large-scale, dynamic networks).

▶️ Load Balancing:
• Walrus: Permuted symbol distribution (prevents hotspots).
• Sia: Static RS-code distribution.
🏆 Winner: Walrus (avoids single-node bottlenecks).

▶️ Network Architecture:
• Walrus: Sharded committees via Sui (horizontal scaling).
• Sia: Centralized coordinator nodes.
🏆 Winner: Walrus (truly decentralized, no SPOF).

Summary: Walrus wins with faster codes, dynamic load balancing, and scalability. Sia’s RS-code limitations hinder growth.

Did I miss anything (probably)? Let me know!

$SUI $WAL $FIL $STORJ $AR $SC

[Sui @SuiNetwork]

wBTC is now live on #SuiBridge, unlocking the full potential of Bitcoin within the Sui DeFi ecosystem! 💥

Bitcoin’s future is more than just HODLing — BTCfi on Sui unlocks new financial possibilities for BTC in a scalable, programmable ecosystem.
🧵👇

[Brian Roemmele @BrianRoemmele]

Folks, I think we have done it!

If overnight tests are confirmed we have OPEN SOURCE DeepSeek R1 running at 200 tokens per second on a NON-INTERNET connected Raspberry Pi.

A full frontier AI better than “OpenAI” owned fully by you in your pocket free to use!

I will make the Pi image available as soon as all tests are complete.

You just pop it into a Raspberry Pi and you have AI!

This is just the start of the power that takes place when you TRULY Open Source an AI Model.