𝗛𝗼𝘄 𝘁𝗼 𝗠𝗼𝘃𝗲 (𝗤𝘂𝗶𝗰𝗸𝗹𝘆) 𝗳𝗿𝗼𝗺 𝗮 𝗻𝗲𝘄𝗯𝗶𝗲 𝘁𝗼 𝗮 𝗦𝗼𝗹𝗶𝗱𝗶𝘁𝘆 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿? Start with the Basics (But Move Fast): : Master the fundamentals of Solidity (Ethereum’s smart contract language). • Understand how blockchains work, consensus mechanisms, and gas fees. • Learn tools like Foundry, and Remix for smart contract development. • Create a simple token or a basic dApp. • Gradually move to more complex projects like DeFi protocols, NFT marketplaces, or DAOs. • Deploy on testnets (e.g., Goerli, Sepolia) before moving to mainnet. • Participate in Web3 hackathons (e.g., ETHGlobal , Gitcoin). • Engage with communities on Discord, X, and Reddit, Inc.. • Contribute to open-source Web3 projects on GitHub. • Explore other blockchains (e.g., Polygon Labs, Solana Labs, Avalanche) and their respective languages (Rust Programming Language, etc.). • Understand Layer 2 solutions (e.g., Optimism Foundation, Arbitrum) and cross-chain interoperability. • Freelance on platforms like Gitcoin. • Apply for remote Web3 jobs (check cryptojobs.com, Crypto Jobs List, Web3 Career, or LinkedIn). • Follow Web3 thought leaders on X. • Subscribe to newsletters like The Defiant, Bankless. • Listen to podcasts like Unchained or The Daily Gwei. The real rewards in Web3 come to those who stick around and keep innovating.
Olympix
Data Security Software Products
New York, NY 919 followers
We are pioneering developer tooling for proactive web3 security
About us
Olympix is an early stage startup changing the future of web3 security. Today security is approached via manual ex post facto audits, tomorrow security starts at runtime. As the pioneering developer tool for proactive Web3 security we know that the most effective way to scale security is to embed it into development, which in turn can only be achieved by building exceptional developer tools and placing the developer’s needs first.
- Website
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https://www.olympix.ai/
External link for Olympix
- Industry
- Data Security Software Products
- Company size
- 2-10 employees
- Headquarters
- New York, NY
- Type
- Privately Held
Locations
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Primary
New York, NY 10013, US
Employees at Olympix
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Cariel Cohen
Senior Software Engineer at Olympix.ai | Co-Founder // CTO @ Securily | Cybersecurity Expert | Certified Ethical Hacker // AWS Security Specialist
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Christos Kalantzis
CTO; CISO; Cybersecurity and AI expert; Angel Investor; Inventor; Dreamer; Immigrant
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Ignacio Freire
Core Solidity Developer
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Sarah Jane Hicks
Fortifying smart contract defenses in-house, prior to audit
Updates
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Security is a team sport. The best researchers learn from each other’s findings, techniques, and mistakes. A vulnerability in one protocol often reveals patterns that apply to others. 1️⃣ Shared knowledge = faster breakthroughs. • Being around top performers pushes you to raise your game. • Many elite whitehats credit their success to friendly rivalries in CTFs or bug bounty platforms. 2️⃣ Look for spaces where top researchers hang out. • Discord Servers: Secureum, Code4rena, Immunefi. • Forums: Ethereum Research, HackerOne, Immunefi. • Twitter/X: Follow and engage with researchers sharing cutting-edge findings.
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🔍 The Hidden Economics of Web3 Security Research: A Career Path Analysis Ever wondered why top security researchers skip "small" $20k bounties? Here's the inside track on security researcher economics that most don't talk about: 1️⃣ New Researchers & Contest Economics • Emerging talents focus on lower-payout contests ($10-20k range). • These wins aren't about the money—they're reputation builders. • One solid find can kickstart a career faster than months of networking. 2️⃣ The Mid-Level Transition • Junior-to-mid-level researchers command $80-150k at security firms. • Private audits become the bread and butter. • Building a portfolio becomes more strategic than maximizing contest submissions. 3️⃣ Veteran Status • Elite researchers can bill $200-500/hr for private audits. • They target premium bounties ($1M+ on Immunefi). • Past exploits are their resume (think samczsun's $10M+ findings). The game changes completely at the top. When you can bill $500/hr, spending weeks on a $20k contest that might be split among winners doesn't make financial sense. 💡 For New SRs: Don't be discouraged by smaller bounties. They're not just rewards—they're your ticket to higher-paying private audit work and eventual veteran status.
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1️⃣ The SR Mindset Shift From: "Is this vulnerable?" To: "How would I exploit this?" 2️⃣ Actionable Playbook: • Ask "Why This Way?": Demand rationale for design choices. If the answer is "because everyone does it," dig deeper. • Deploy a fork and stress-test "standard" functions with edge cases (e.g., zero-value transfers, re-entrant calls). • Use SlowMist's hacked dashboard or Rekt.News to find how "standard" patterns failed. Developers fix what they see; our job is to find what they don’t. 3️⃣ Blind Spot Categories: • Assumption Gaps: "Users won’t do X." • Integration Risks: "This oracle is trusted." • Emergent Behavior: "These two safe functions become unsafe when combined." 4️⃣ How to Expose Them: • Diagram how contracts/modules interact. • Use Foundry to brute-force inputs that break invariants. Link minor issues into exploit chains (e.g., low-severity → high-severity). By questioning norms and stress-testing assumptions, we: • Prevent the next $100M exploit. • Elevate the entire ecosystem’s security posture. • Turn "blind spots" into "bright spots."
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1⃣ Complexity isn’t just lines of code—it’s the attack surface: 2⃣ Contracts that share mutable state (e.g., global variables) require cross-referencing. 3⃣ Oracles, bridges, and third-party protocols introduce untrusted external calls. 4⃣ Proxy patterns and modular systems add layers of indirection. 5⃣ Bloated codebases delay audits, prolong time-to-market, and deter institutional partners. 6⃣ Uniswap Labs: Focused codebase with isolated liquidity logic. Audits and competitions costs (in millions) but secured $4.8B+ TVL. 7⃣ MakerDAO: Modular design separates oracles, vaults, and governance. Regular audits maintain resilience despite the complexity. Audit costs aren’t arbitrary—they mirror your code’s complexity. Founders who treat code efficiency as a first-class priority will: • Reduce audit costs. • Minimize exploit risks. • Ship faster and safer.
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🚨 𝗧𝗵𝗲 𝗦𝗶𝗹𝗲𝗻𝘁 𝗞𝗶𝗹𝗹𝗲𝗿 𝗶𝗻 𝗪𝗲𝗯𝟯 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: 𝗣𝗮𝗿𝘁𝗶𝗮𝗹 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗜𝗻 𝟮𝟬𝟮𝟯, 𝗵𝗮𝗰𝗸𝗲𝗿𝘀 𝘀𝘁𝗼𝗹𝗲 $𝟭.𝟴 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝘀𝗺𝗮𝗿𝘁 𝗰𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝘀 𝗮𝗻𝗱 $𝟮.𝟮𝗕 𝗶𝗻 𝟮𝟬𝟮𝟰. The root cause? Not just malicious actors—incomplete understanding of the systems they exploited. Why “Learning Enough to Ship” Fails in Web3 • If you sort of understand re-entrancy, you’ll miss cross-contract attacks. • If you kinda grasp delegatecall, storage collisions will blindside you. • If you half-learn EIP-712, signature replay attacks will drain your users. The Cost: Immutable code with unpatched flaws becomes a ticking time bomb. The approach is to build mastery, not speed: 1️⃣ Depth-First Audits: Don't just check boxes. Obsess how your code interacts with the EVM, oracles, and external protocols. 2️⃣ Security Workshops: Train your team to understand vulnerabilities (e.g., Build a PoC for the Nomad Bridge exploit). 3️⃣ Proactive Threat Modeling: Map attack vectors before you write a line of code. The 100% Rule: • Never move forward until your team can explain a concept and reproduce an exploit. • Use CTF platforms like Ethernaut to turn theory into instinct. • Spend 20 minutes reviewing yesterday’s learnings. Partial knowledge decays fast. 4️⃣ The Bottom Line In Web3, security isn’t a feature—it’s a culture. The protocols that survive are those that prioritize deep understanding over shortcuts.
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Transactions without deadlines risk execution at unfavorable rates during volatile markets or network congestion. Users could suffer significant financial losses due to delayed or reordered transactions. 1️⃣ Always include a deadline argument to ensure transactions revert if not mined within a user-defined window. 2️⃣ Use automated tools to flag missing parameters during development. 3️⃣ Proactively review cross-chain deployments, as base contracts may differ across networks (e.g., Coinbase's Base vs. Ethereum Mainnet).
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🔐 𝗪𝗲𝗯𝟯 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗔𝘂𝗱𝗶𝘁𝘀 𝘄𝗶𝘁𝗵 𝗭𝗲𝗿𝗼-𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗣𝗿𝗼𝗼𝗳𝘀 Have you ever wondered how we can make smart contract audit reports truly tamper-proof while maintaining confidentiality? Here's a game-changing approach using ZK proofs: 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Traditional audit reports face a trust paradox - clients need proof of thorough auditing, but revealing all details could expose vulnerabilities before fixes are implemented. 𝗧𝗵𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Implementing a ZK-powered audit reporting system that allows audit firms to: 1. Generate cryptographic proofs of their methodology. 2. Commit report hashes on-chain with timestamps. 3. Prove the completeness of their audit process. 4. Enable selective disclosure of findings. 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: ✅ Immutable audit trails. ✅ Verifiable timestamps. ✅ Privacy-preserving disclosures. ✅ Cryptographic accountability. Imagine proving you found a critical vulnerability without exposing it until it's fixed. That's the power of ZK in security audits. This isn't just theoretical - we're seeing early implementations already strengthening the Web3 security landscape.
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“Lean processes, maximize pure bug-hunting time, and no emphasis on severity.” At first glance, this makes sense—more eyes on code, fewer distractions. But we must ask: 𝘋𝘰𝘦𝘴 𝘪𝘨𝘯𝘰𝘳𝘪𝘯𝘨 𝘴𝘦𝘷𝘦𝘳𝘪𝘵𝘺 𝘳𝘪𝘴𝘬 𝘮𝘪𝘴𝘴𝘪𝘯𝘨 𝘵𝘩𝘦 𝘧𝘰𝘳𝘦𝘴𝘵 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘵𝘳𝘦𝘦𝘴? Here’s Why: 1️⃣ 𝗦𝗲𝘃𝗲𝗿𝗶𝘁𝘆 𝗜𝘀𝗻’𝘁 𝗮 𝗗𝗶𝘀𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻—𝗜𝘁’𝘀 𝗮 𝗖𝗼𝗺𝗽𝗮𝘀𝘀 Imagine finding 100 low-risk typos while missing one critical re-entrancy bug. The Fix: Triage early, not late. Tagging severity during the audit (𝘯𝘰𝘵 𝘢𝘧𝘵𝘦𝘳) keeps teams laser-focused on what could sink the protocol. 2️⃣ 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 ≠ 𝗦𝗽𝗲𝗲𝗱 A “lean” audit isn’t just about squashing bugs fast—it’s about squashing the right bugs first. Example: Allocating extra time to stress-test a protocol’s oracle integration (high risk) vs. nitpicking event emissions (low risk). 3️⃣ 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 > 𝗜𝘀𝗼𝗹𝗮𝘁𝗶𝗼𝗻 Pure bug-hunting is vital, but so is context-sharing. Auditors need to understand how the protocol works to spot why it might break. A “minor” governance delay flaw in a lending protocol could become critical when paired with a flash loan attack vector. 𝗢𝘂𝗿 𝗕𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁: 🛠️ Pre-Audit Threat Modeling: Map high-risk zones (𝘦.𝘨., 𝘤𝘳𝘰𝘴𝘴-𝘤𝘩𝘢𝘪𝘯 𝘣𝘳𝘪𝘥𝘨𝘦𝘴, 𝘧𝘦𝘦 𝘭𝘰𝘨𝘪𝘤) before reviewing a single line of code. Critical Fix Sprints: Pair high-sev findings with real-time developer war rooms to slash mitigation time. Post-Audit Autopsies: Turn findings into prevention—e.g., “𝘏𝘰𝘸 𝘵𝘰 𝘈𝘷𝘰𝘪𝘥 𝘚𝘵𝘰𝘳𝘢𝘨𝘦 𝘊𝘰𝘭𝘭𝘪𝘴𝘪𝘰𝘯𝘴 𝘪𝘯 𝘜𝘱𝘨𝘳𝘢𝘥𝘦𝘢𝘣𝘭𝘦 𝘊𝘰𝘯𝘵𝘳𝘢𝘤𝘵𝘴.”
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🚀 Embracing the Grind: Why Resilience & Continuous Learning Define Web3 Security Leaders In Web3 security, progress isn’t linear. You’ll face weeks of debugging dead ends, months chasing novel attack vectors, and moments where your work feels invisible. But here’s the truth: the difference between those who thrive and those who fade isn’t talent—it’s stubborn consistency and relentless curiosity. In an industry where yesterday’s “best practice” is tomorrow’s attack vector, stagnation is existential. Here’s how to stay ahead: 1️⃣ Learn by Doing • This week, contribute to one open-source audit tool. • Dissect one post-mortem report to reverse-engineer the attacker’s mindset. 2️⃣ Pressure-Test Assumptions • “What if LayerZero Labs’ default relayer gets compromised?” • “Could Curve’s LLAMMA design create oracle manipulation blind spots?” 3️⃣ Share Relentlessly Turn your battle scars into threads, blogs, or conference talks. Example: “How I Found a Governance Time-Lock Bypass in 15 Lines of Vyper Code.” 💡 The Payoff? It’s Coming • That exploit pattern you documented? It might become the industry’s go-to case study. • That tool you built to fuzz sequencer nodes? A protocol could adopt it and avert a $50M breach. • That thread you wrote on MEV censorship risks? It might shape Ethereum’s next core update. The work compounds—even when you can’t see it yet. Mentor someone. The rookie you teach to spot reentrancy bugs today could save your project tomorrow. Security isn’t built-in breakthroughs. It’s built in the daily grind.
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