Building @invalend. Still early, sharing notes as I figure things out.
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Joined November 2025
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0G's docs reference executeSecure(), a runtime for authorized AI agent execution, but the runtime itself doesn't exist anywhere in the SDKs or codebase. ERC-7857 explicitly leaves it "out of scope."
Built the missing layer for #0GHackathon:
slxc-7857 — Sealed Executor Protocol.
Authorization is checked on 0G Chain before encrypted agent storage is ever touched.
Unauthorized, expired, or revoked requests:
• storageReads = 0
• no key derivation
• no attestation
Only authorized requests execute inside Intel TDX enclaves.
Deployed on 0G mainnet. TDX attestation independently verified by proof.t16z.com.
Still early. Still needs hardening. But the core invariant holds.
#0GHackathon #BuildOn0G
@0G_labs @0g_CN @0g_Eco @HackQuest_
Repo, contracts, and evidence:
GitHub: github.com/mhd-aris/slxc-785…
I kept seeing the same pattern in DeFi trading.
A trader spots the opportunity.
But their capital is locked somewhere else.
By the time they move it, the trade is gone.
After watching this long enough, I started asking a different question:
Why is DeFi lending designed for lenders, but not for traders?
I wrote about it here ↓
teapaw.org/xris_/status/203247640…
Most people think DeFi leverage is a risk problem.
It's not.
It's a design problem.
DeFi gave retail traders access to markets
that used to belong only to institutions.
But capital efficiency?
Institutions still have the advantage.
They don't need to lock excessive collateral
just to get meaningful exposure.
Retail traders still do.
The traders who win consistently in DeFi
aren't always the ones with the best strategies.
They're the ones who can deploy the right size
at the right moment
without being handcuffed by their own collateral.
Capital efficiency is alpha.
Most people just don't frame it that way.
Nobody talks about the real cost of collateral in DeFi.
It’s not the interest rate.
It’s not even liquidation risk.
It’s the capital that sits completely idle
just to keep your position alive.
Meanwhile, markets move.
A new setup appears.
Liquidity shifts.
Momentum forms.
But your collateral is already committed.
You can’t react.
Crypto moves in minutes.
But to get leverage on-chain you need to:
→ Deposit
→ Approve
→ Borrow
→ Transfer
→ Execute
By step 4, the window is already closing.
You didn't miss the trade because you hesitated.
The system was just too slow.
Imagine having a strategy that works.
Backtested. Validated. Repeatable.
But the minimum size where it actually moves the needle on your portfolio?
You're not there yet.
Skill isn't the bottleneck. Capital is.
You see the setup.
You know the entry. You know the target.
But to make it actually meaningful you need $10K exposure.
You have $2K.
So you either skip it, enter undersized, or over-leverage on a CEX and pray.
None of those are good options.
You don't have a skill problem. You have a capital problem. Most traders know exactly what to do. The trading opportunities are there. The setups are clear. The size that makes them profitable? That's where the gap begins.
Aris retweeted
We rebuilt Next.js in a week. No, really.
The team ported the framework to run natively on Workers to prove what’s possible with edge-first architecture. Dive into the technical hurdles we solved to eliminate Node.js dependencies.
cfl.re/4ciNc3L
Aris retweeted
✨Introducing evmresearch✨✨
A knowledge graph of nearly everything I've learned about the EVM in the past six years
The graph structure emulates the brain, exponentiating research speeds for both humans and agents
evmresearch.io/
