idk
Joined January 2017
- Tweets12K
- Following1.8K
- Followers676
- Likes29.9K
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DOs are on 🔥 lately
@falconfinance 's FF did 19x ( ATH)
@boundlesshq 's ZKC did 6.17x (ATH)
@Lombard_Finance 's BARD did 3.38x (ATH)
here's how you can position for the next big one @MMTFinance 🧵
Maddmaxg retweeted
How we use Zama ?
→ Every NFT mints sealed and is encrypted onchain using Zama’s FHE.
→ The contract computes on data it can never read.
→ Its look and essence are determined by FHE randomness. Nobody gets to choose. Not even us.
🟨 Built with FHE on @zama.
I have used dozens of protocols waiting for institutions to show up, @CantonNetwork is finally the network where they stand.
While @TitanExchange_ is the venue that brings privacy execution to perps.
Just claimed my pass, here is a link to the waitlist
waitlist.titanx.cc/?ref=80C2…
sad but even being an OG @jumperapp user and supporter since Transfer To days can't even participate in the sale due to kyc restrictions on @legiondotcc
Maddmaxg retweeted
My contribution to The Republic has been helping our squad keep track of VP contributions and plan how to share expansion costs.
As new members joined, I tracked previous contributions and worked through ways to keep the cumulative amounts reasonably balanced.
One concrete example: expanding from 8 to 9 members required 1,500 VP from the squad as a whole—not from each person.
What I learned is that “everyone pays the same amount this time” does not necessarily mean everyone has contributed equally overall. Previous payments and each member’s available VP matter too.
Clear records make those decisions easier to explain.
If you want to contribute to a squad, keeping a simple record of members’ payments and agreeing on the next expansion’s cost split is a practical place to start.
Disclosure: this post is part of a rewarded Republic community campaign and is eligible for 30 VP on approval.
Maddmaxg retweeted
The next chapter of Jumper belongs to you.
Announcing the JUMP token sale on @legiondotcc.
Tuesday, 29th September.
Maddmaxg retweeted
Introducing SNURPS by Catapult Trade
4,444 NFTs · Mint Date: September 30
catapult.trade/snurps
code: 4444
72 hours to get in
can't wait to test what Trafix folks are cooking 👀🔥
No time to read? Do this:
🔵Follow @Travix_fi
🔵Quote Tweet this thread
🔵Fill the form
Form:
docs.google.com/forms/d/e/1F…
50 invite codes.
Open form: Sep 23 – Sep 28, 23:59 UTC.
Codes go to your email.
We will also post approved Twitter handles in Discord.
Maddmaxg retweeted
Excited to share that our team was accepted into the @E2B for Startups program in less than an hour! 🚀
We received $20K in E2B credits + E2B Pro Tier to help build @ScarRetreival , open evaluation infrastructure for AI smart-contract security: an agent is handed a contract that was actually exploited on-chain, writes a patch, and we replay the real attack against that patch on recorded chain state. Every episode is untrusted, model-written Solidity that has to compile, execute, and be graded by tests the agent must not read or overwrite. We have already caught one agent overwriting its own reward file and another reading the grader source from inside the container, so the isolation has to be real.
Big thanks to @E2B — handles all the sandbox infrastructure so we can focus on building the actual product. If you are early startup, check out if you are eligible for the program here: e2b.dev/startups!
Maddmaxg retweeted
Update on SCAR (AI retrieval for smart contract security), funded in the Ethereum Security QF round: $2,363 in donations + 2.21 ETH matching.
Thank you @thedaofund @quantstamp @wintermute_t for the matching pool, @Giveth @griffgreen for running the round, and everyone who donated to an open-source security project built by one person.
This update is late. That's on me. Here's where the money went, what it built, and what's next.
TheDAO's Ethereum Security QF Round matching funds have officially been distributed 🛡️
What started as a 500 ETH matching pool from @thedaofund ultimately grew to 638 ETH+ thanks to support from across the ecosystem.
134 projects have now received funding to continue their work strengthening Ethereum security.
A huge thank you to every donor, contributor, and project that made this round possible.
Maddmaxg retweeted
Last day to support @ScarRetreival at @Giveth
Every donation goes to open source harness that the security auditing needs.
qf.giveth.io/project/scar:-a…
Building the first end-to-end smart contract audit stack where every layer is grounded in retrieval at @ScarRetreival
The keystone is SCAR — a sparse code retriever I built that hits R@10 = 0.901 retrieving from a 232k-contract corpus in 114ms.
BM25 collapses to 0.308 at that scale.
What that unlocks across the stack:
Layer 1 (next) — agent harness calls into the tool layer
Layer 2 (built) — SCAR + reranker + context-aware MCP, exposed to any agent (Claude/GPT/Qwen) over MCP
Layer 3 (training data built, RL env next) — GRPO with verifiable rewards: the retriever grades the model Layer 4 (next) — Qwen3.6-27B, SFT → GRPO against SCAR
The novel bit: SAE-LoRA — low-rank adaptation of Sparse Autoencoder encoder weights. 4.6M params (0.3% of the backbone) turns reconstruction features into retrieval-discriminative ones. 37.6× over the frozen SAE baseline.
Weights, training pairs, eval set all open-source.
Maddmaxg retweeted
Won $400 at the @lifiprotocol DeFi Mullet Hackathon — developer track. Adding $100 of my own.
The full $500 → @Giveth Ethereum Security QF round.
qf.giveth.io/qf/ethereum-sec…
$10 to each of 50 projects securing this ecosystem.
Thanks @PhilippZentner @brucexu_eth @kenny_io @arjunnchand
Developer Tooling 获奖项目：
🥇 EarnForge —— 一个覆盖 SDK、CLI、React hooks、MCP tools、bot 和 studio 的 LI.FI Earn 全栈工具包：
nitter.gq/LifeHodlr/status/20442…
Maddmaxg retweeted
been heads-down on this for 5 months.
The SCAR technical report is out on the project handle.
R@10 = 0.90 over 232k Ethereum contracts (BM25 collapses to 0.31). 47× faster latency. SAE-LoRA, 4.6M added params.
Paper soon on Arxiv!
Full ablations + EVMBench validation in the thread.
@ScarRetreival 👇
TECHNICAL REPORT — TL;DR
Every AI audit tool launching in 2026 has the same hidden weakness.
They reason about code without grounding in actual audit precedent. No retrieval substrate underneath.
SCAR is that substrate.
Retrieving over 232,000 Ethereum smart contracts: BM25 collapses. R@10 = 0.31
SCAR holds. R@10 = 0.90
Same hardware SCAR is 47× faster (114ms vs 5,433ms).
The missing layer underneath every audit AI👇
Maddmaxg retweeted
SCAR is in @Giveth 's Ethereum Security QF round, closing May 15.
Funded by TheDAO Security Fund — repurposing 75k ETH from the 2016 hack into ethereum security work.
QF math: $5 from 100 unique wallets matches more than $500 from one whale.
qf.giveth.io/project/scar:-a…