Aerius Labs

Aerius Labs is where cryptography, blockchain & Zk proofs converge to shape the future of secure systems.

[Aerius Labs @AeriusLabs]

Hash based signatures implementation in Golang as discussed in @ethereumfndn’s Beam call

https://t.co/bwmJ4KwmOH

[Rahul | Aerius Labs @Rahul__Ghangas]

Implementing hash-sig in Golang

Yesterday I came across Ethereum Foundation's leanConensus (fka beam call) #7, and loved the section on LeanMultiSig spec. Dove into a bit more, came across the paper - Hash-Based Multi-Signatures by @drakefjustin et al. and decided to implement it, but I only had the weekend free so wasn't sure how far I'd get along. 🧵

[Fluxe @FluxePay]

Private payments as simple as Venmo, all on crypto rails ⛓️💰

We are building the future of payment privacy 🔎

Study Fluxe

[Fluxe @FluxePay]

We may have been silent for a bit, but we were never gone

True builders buidl no matter the market conditions.

Fluxe is SO back

[Fluxe @FluxePay]

🤝 Fluxe x Cysic @cysic_xyz

We’re integrating Fluxe’s compliant privacy protocol with Cysic Network’s hardware-accelerated ZK infrastructure to bring private, regulation friendly stablecoin payments to web2-scale UX.

[Cysic @cysic_xyz]

Cysic is partnering with @FluxePay!

We’re excited to announce that we’ll be accelerating the future of cross-chain privacy for stablecoins by powering Fluxe’s aggregation ZK circuit infrastructure.

[Fluxe @FluxePay]

Privacy is going to win

[Fluxe @FluxePay]

Privacy ✅
Interop ✅
Business Model? You tell me

[Fluxe @FluxePay]

Make multichain privacy seamless

[Fluxe @FluxePay]

“Privacy will be the most important moat in crypto”
“Stablecoins unlock the bank ledger upgrade cycle - and new payment scenarios”

Fluxe coded

[Fluxe @FluxePay]

"Compliant privacy is like giving up, it's not really privacy at all."

The quote reflects a real tension: traditional "compliant privacy" often means backdoors, key escrow, or selective disclosure to authorities - which isn't really private.

We hear you. But here's why we think differently about compliance in Fluxe 🧵 1/5

[Fluxe @FluxePay]

If you want to read more on how Fluxe enforces arbitrary compliance while retaining privacy using zk proofs and zk-promises
https://t.co/hLhx8A5Xj3

https://t.co/XJk3WO4kmv

[Fluxe @FluxePay]

This is deeply unfortunate, yet the undisputed truth about the state of privacy protocols today.

This might sound a bit like ambulance chasing, but compliance is what's needed here. Privacy should be the default but how do you stop malicious actors from using it?

Fluxe was built for this precise reason, asset freezing for malicious usage of the protocol, but also asset recoverability. Privacy sounds great until you're the one losing your savings, your next paycheck, or potentially your entire networth

[Fluxe @FluxePay]

PRIVACY IS NOT A CRIME!

[Aerius Labs @AeriusLabs]

Verifiable trading engines ftw!

[VEX @Trade_VEX]

Always trust the math
Always trust what you can verify

[VEX @Trade_VEX]

DEXs are plagued with many inefficiencies and UX problems
1. Slow fills
2. MEV attacks
3. Slippage Roulette
4. Failed txn fees

VEX solves for this
Verifiable fairness + Real Execution Speed

[VEX @Trade_VEX]

The future of trading is Fast and Verifiable

[VEX @Trade_VEX]

22k real time provable TPS has been achieved internally
22k signatures
22k orders
1 second

Now let’s double it

[Fluxe @FluxePay]

App is now being tested on TestFlight and Google Play Console

[Rahul | Aerius Labs @Rahul__Ghangas]

LFG! S-Two is now accelerated and is performant on Apple Metal.
Metal benchmarks are already beating highly optimized simd implementation for trace sizes as low as `log_n=17`, while still remaining competitive with smaller trace sizes.

Major metal kernels implemented:
– M31/QM31 field ops
– Circle FFT / IFFT
– FRI fold + decompose
– Merkle (BLAKE2s) hashing
– Quotient accumulation
– Fiat–Shamir channel mix/draw
– Constraint VM row eval
– MLE folds + circle eval

[VEX @Trade_VEX]

VEX had open sourced a Metal accelerated backend for S-Two by @StarkWareLtd - fully optimized for Apple devices, from MacBooks to iPhones. 🚀
Early benchmarks already show big gains, and this is only the beginning. Repo below 👇

Our goal is simple: make the world’s fastest prover even faster.
Over the next few weeks we’ll be rolling out OpenCL and CUDA backends targeting AMD and NVIDIA GPUs, bringing high-performance proving to every major hardware class.

[VEX @Trade_VEX]

Team dropped big alpha today in slack
- 1 ms execution
- Double the zk prover speed
- Metal GPU integration for apple devices

Real time verifiable exchange is becoming a reality very soon. GVEX