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defizard
Your everyday wizard. @pepe maximalist. Research and views are not financial advice.
If you're a testnet user on @monad,
you will want to try out @apr_labs.
"What's so special about them?"
Currently, they're running a campaign to train their AI Order Flow Segmentation engine:
- Go to the and connect your wallet
- Complete the social tasks
"Hmm..."
It's absolutely risk-free; @apr_labs don't need your tokens, just data points.
P.S. @apr_labs is backe dby @binance, so... iykyk.

aPriori ⌘6.8. klo 09.30
We’re training an AI on order flow (OF) to give you better prices
Show us your OF
JUICY GETS FILLED LIKE A PRIORITY
Link below

1,63K
defizard kirjasi uudelleen
The last bull cycle proved one thing:
Modularity isn’t a theory anymore
it’s the new design frontier for high-performance blockchains.
But the biggest bottleneck?
Data Availability.
Celestia set the stage. EigenDA took it further.
But both are still optimizing within old constraints:
→ Bounded scalability
→ Rising costs for large datasets
→ Rollup-centric assumptions
→ Limited support for data-heavy apps like AI, DePIN, or gaming
And that’s where 0G Labs enters with an entirely different thesis:
“If blockchains are to become general-purpose coordination layers for the real world, they need a DA layer built for real-world scale.”
That means:
— 10GB/sec throughput
— <400ms finality
— Sub-cent cost per GB
— Zero fees for data consumers
— zk-proven storage integrity
— DA that scales with Moore’s Law, not block limits
This isn’t Celestia v2.
It’s a clean-slate DA architecture purpose-built for:
→ AI workloads (think massive model snapshots, updates, inference logs)
→ DePIN networks (sensor streams, geo-data, real-time telemetry)
→ Gaming (asset state, replay logs, high-frequency data)
→ Modular L2s (hundreds of them, at once, without bottlenecks)
And it’s not a pipe dream.
@0G_labs is already backed by Hack VC, Alliance DAO, dao5, Symbolic Capital, Bankless Ventures, and others—raising $35M+ to build the DA layer of the new internet.
Let’s break it down:
🔹 0G’s founding insight
Every app and chain has different data demands. Some need instant reads. Others want permanent storage. AI wants gigabyte-scale blobs and continuous streams.
So why force them through a rollup-optimized DA layer?
0G says:
“Let DA be modular too.”
That’s why it’s building:
A super-fast DA layer (10GB/s+)
A verifiable storage network for long-term persistence
An Ethereum light client bridge for fraud-proof publishing
And zk-proven guarantees to ensure everything is provable + censorship-resistant
It’s a full-stack rethink of what it means to make data available onchain, provable, and composable.
🔹 0G’s modular philosophy
The DA stack isn’t monolithic.
0G splits it into three distinct, interoperable layers:
Blobstream Layer – handles short-term, high-throughput blob publishing
Storage Layer – stores older blobs with zk commitments
Bridge Layer – commits proofs to Ethereum to ensure liveness, availability, and finality
Each layer is modular.
Each layer is optimized.
Each layer can evolve independently.
It’s Celestia + EigenDA + Filecoin + zkBridge, all composably rolled into one.
Why this matters
AI, DePIN, and real-world DeFi apps are arriving faster than infra can handle.
• Celestia caps out for AI-scale blobs
• EigenDA is hyperscale, but rollup-bound
• Avail is flexible, but still bound by legacy assumptions
@0G_labs breaks the mold:
You don’t need to be a rollup to use 0G
You don’t need to publish small data to stay cheap
You don’t need to sacrifice speed to ensure proof-of-availability
Instead, you get:
→ Raw bandwidth
→ Lightning-fast finality
→ Fraud-proofed, zk-verifiable DA
→ Infinite scale because 0G scales with hardware, not block space
This is post 1 of a 10-part deep dive on 0G Labs.
What’s next:
→ 0G’s core architecture: Blobstream, zkStorage, zkBridge
→ Proof system design + how it ensures trustless DA
→ Token model + validator incentives
→ DA vs. storage vs. execution: why 0G bets on vertical separation
→ Modular infra wars: Celestia, EigenDA, Avail, Near DA vs. 0G
If you thought DA was solved
You haven’t seen what 0G is building.
Let’s keep going.
Tagging Gigachads that might be intrested in this 👇
- @SamuelXeus
- @TheDeFISaint
- @poopmandefi
- @ayyeandy
- @DigiTektrades
- @zerokn0wledge_
- @LadyofCrypto1
- @1CryptoMama
- @Deebs_DeFi
- @RubiksWeb3hub
- @stacy_muur
- @TheDeFinvestor
- @splinter0n
- @izu_crypt
- @belizardd
- @eli5_defi
- @ViktorDefi
- @cryppinfluence
- @CryptoGirlNova
- @DeRonin_
- @0xAndrewMoh
- @defiinfant
- @DeFiMinty
- @crypthoem
- @CryptoShiro_

9,25K
I haven't noticed how I slowly accumulated 3,000 Yaps, but here are the main tip after reflection:
Quantity of replies doesn't matter until they are quality.
I see a lot of so-called "reply guys" saying, "I did 250 replies today but only got 3.5 Yaps..."
Reminder: You get Yaps for "smart accounts" interacting with you (RTs/replies). The higher count of smart followers he has, the higher amount of Yaps the guy they reply to gets.
"But how do I make so they reply to me? They are always not paying attention."
If someone replies to me with, "gm, follow back," "cool, thanks for sharing," or something that provides zero insight, no question, no POV, and didn't say it clearly, I'm 95% sure I will not reply to them.
Sometimes, I reply, but generally, I just don't want to spend my time on this.
The next question is who do you reply to?
Spend some time scrolling CT, find reputable accounts (e.g. @rektdiomedes, @DefiIgnas, @crypthoem, @CryptoGirlNova, @LouisCooper_, etc.) or find them in my recent Tier list (
But I beg you, read the tweet, try to understand it, and then reply with a question, insight, or a POV.
After spending a few weeks replying, you might start noticing that you are becoming more educated than ever before.
That's the point you want to get.
Everything has a compounding effect in this life, and replying is not an exception. You might not start noticing results right after the first replies, but hundreds if not thousands.
It's not easy; that's why there are not many really great content creators who haven't given up.

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