A research-driven publication that simplifies Web3 innovations for developers, researchers, and enthusiasts.

Joined December 2024
Launching Coii for @EFDevcon don't waste your time at devcon8 find your tribe beforehand, - connect on similar ideas/tracks - watch which narrative wins before event in real time - create your own "adda" to meet people at Devcon8 built with love by @DecipherClub
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You are in a market that does not let you Sell. Imagine a market that sells coffee beans, and you are one of its registered sellers. You have good beans, lower prices, better packaging, etc. But.... You are unable to sell. Why - coz buyers never see you. Why? Because in this market, buyers do not browse. Every buyer request goes through a discovery desk, and the operator sitting at that desk decides which sellers a buyer is shown. So you walk up to him and ask why you are never on that list: - You: Why do buyers never see my shop? - Operator: Because you do not rank high enough in seller's. - You: What do I need to rank higher? - Operator: Sales volume, and a list of customers who have already bought from you. - You: But I can only get those if buyers find me and buy from me first. - Operator: Correct. And buyers only find you once you rank high enough. Meanwhile, the largest coffee seller in the market has already taken that order. The buyer never saw your shop. The operator says - "not my problem" The market worked exactly as designed. Would you keep selling in that market? Would you tell another merchant to come and join you in it? That is the condition of open agentic markets today. Today, the open agentic commerce market is killing its own merchants - and hence the market itself. article below 👇
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Alright frens, its official. I will be speaking at @EFDevcon On x402 agentic markets: - what's wrong with open agentic commerce - why x402 merchants are gonna die - how we can fix this see you all in Mumbai, Thanks @EFDevcon
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If you are a programmer, stop obessing over what is optimal to study/upskill in. Engineers with staying power have depth in a lot of areas. The goal is to have a deep and wide understanding of software engineering, not to pick a "shortcut subject" Pick a subject and stick with it for 90 days. Be a learning machine, not a short term knowledge day trader. Low level programming, distributed systems, ML, networking, math, file system design, cryptography, computer vision, formal verification, technical writing, etc etc all of those are good choices. Keep moving. Learning is never wasted. Endlessly scrolling to figure out where the winds will blow tomorrow is a waste of time. Success comes from preparation, not anticipation.
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the "tech bro" dilemma in 2026 what should I learn bro? "Learn a programming language" – which one bro "Depends. What's your goal?" – I wanna be AI-proof bro "Then start with Python" – Python is too easy bro. AI writes it better than me "Then learn Rust" – Rust is too hard bro. AI writes it anyway, what's the point "If AI writes everything, learn how AI works" – that needs math bro "Learn math" – shut d fck up bro "Fine, skip the math. Just build AI agents" – the framework I learned got deprecated last Tuesday bro "Then learn the fundamentals. Those don't get deprecated" – that takes 4 years bro "That's literally what a CS degree is for" – I have one bro. I learned Java applets "Then do a master's" – 2 more years and a loan bro "Skip college. Take online courses" – recorded three model releases ago, bro "Learn by building projects then" – what do I build bro, everything already exists "Clone something that exists" – I asked Claude to clone it. Done in 10 minutes. Learned nothing bro "Contribute to open source" – every good first issue gets claimed in 4 minutes bro "Just grind LeetCode and get a job" – Claude solves hards in 4 seconds bro "Then why do interviews still ask LeetCode" – because the interviewer grinded it in 2019 and wants revenge bro "Aim higher. Learn system design" – bro my app has 12 users "Get more users. Learn marketing" – I'm an engineer bro, I don't do marketing "Build in public then" – I have 43 followers and 38 of them are bots bro "Join a startup, learn on the job" – they want 3 years of experience for an intern role bro "Then start your own startup" – I don't have an idea bro "Build an AI wrapper" – OpenAI will ship it as a feature next week bro "Build in crypto" – crypto is dead bro "Crypto isn't dead" – my portfolio is bro "So what are you learning right now?" – watching a 3-hour video on what to learn bro
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Learning never goes in vain software builders today r painfully anxious - wasting hours/weeks on “what to learn if AI can do it all” “Learning” - the act in itself is a super valuable skill. if for nothing else, learn how to learn efficiently, from first principles
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LI.​FI is live on Robinhood Chain.
Robinhood Chain mainnet is live. Fast, secure, AI-native, and purpose-built for real-world assets from day one. xitter.cf/i/broadcasts/1YxNrrAME…
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SEDA computes price data. Oracles transport price data. Better markets start on better pricing logic. seda.xyz/signal
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SEDA is Now Live for protocols on Robinhood Chain Access custom oracle infrastructure powering 24/7 RWA Perps & Lending markets in one endpoint. → seda.xyz
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your dummies guide to agentic commerce on chain
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here is the current state of Agents on Ethereum A NO BS research
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As a Smart Contract Engineer, Slap yourself if you cannot clearly explain at least 10 of the following: 1. EVM memory vs storage vs calldata layout 2. Storage slot packing & inheritance slot collisions 3. Transient storage (EIP-1153) use cases 4. delegatecall context preservation & storage layout traps 5. Proxy patterns: Transparent vs UUPS vs Beacon 6. Storage gaps in upgradeable contracts 7. Diamond pattern (EIP-2535) & facet selector clashes 8. Function selector collisions & 4-byte clashing attacks 9. ABI encoding vs encodePacked hash collisions 10. Checks-Effects-Interactions ordering 11. Reentrancy: single-function, cross-function, cross-contract, read-only 12. ERC-777 hooks & callback reentrancy surface 13. Gas griefing via return-bomb / unbounded returndata 14. 63/64 gas forwarding rule (EIP-150) 15. try/catch failure modes & bubbling reverts 16. Custom errors vs require strings gas trade-offs 17. SafeMath obsolescence & 0.8 overflow semantics 18. Unchecked blocks: when they're safe 19. Signed vs unsigned integer pitfalls in arithmetic 20. Fixed-point math & precision loss ordering 21. Front-running & sandwich attack mechanics 22. Commit-reveal schemes & MEV mitigation 23. Flashloan-based price oracle manipulation 24. TWAP oracles & manipulation cost analysis 25. EIP-712 typed structured signing 26. Signature malleability & ecrecover(0) handling 27. Replay protection across chains (chainId binding) 28. Permit (EIP-2612) & gasless approvals 29. Nonce management for meta-transactions 30. Account abstraction (EIP-4337) UserOp lifecycle 31. EIP-7702 set-code-for-EOA implications 32. CREATE vs CREATE2 address derivation 33. Metamorphic contracts & selfdestruct redeployment 34. selfdestruct post-Cancun (EIP-6780) semantics 35. Init-code vs runtime bytecode distinction 36. Immutable vs constant storage mechanics 37. Gas refund mechanics & SSTORE gas accounting (EIP-2929/3529) 38. Access list transactions (EIP-2930) 39. Warm vs cold storage access costs 40. Yul / inline assembly memory safety 41. Free memory pointer (0x40) discipline 42. Scratch space (0x00–0x3f) misuse 43. Bit manipulation & masking for packed structs 44. ERC-20 approve race condition 45. Fee-on-transfer & rebasing token integration breakage 46. ERC-721 safeTransfer reentrancy via onERC721Received 47. ERC-1155 batch transfer accounting 48. ERC-4626 vault inflation / donation attacks 49. First-depositor share-price manipulation 50. Rounding direction (round up vs down) in vault math 51. Pull-over-push payment patterns 52. Block.timestamp manipulation bounds 53. blockhash limitations & on-chain randomness fallacies 54. VRF integration & request-fulfill patterns 55. Merkle proof verification & second-preimage attacks 56. Bitmap-based airdrop claim tracking 57. Multicall & msg.value reuse across calls 58. Delegatecall to untrusted code 59. tx.origin phishing vector 60. Gas-efficient storage clearing for refunds 61. Packed storage write ordering for gas 62. Cross-contract call gas stipend assumptions 63. Forced ETH via selfdestruct breaking invariants 64. Initialization front-running on proxies 65. Signature replay across forks 66. L2 sequencer downtime oracle staleness 67. Optimistic rollup 7-day withdrawal mechanics 68. Blob transactions (EIP-4844) & calldata cost shifts 69. Precompiles (ecrecover, modexp, pairing checks) 70. BLS signature aggregation verification 71. Reentrancy guards vs transient storage locks And if you only know 10 — kindly return the "Senior Smart Contract Engineer" title.
As a Backend Developer, Slap yourself if you cannot clearly explain at least 10 of the following: TCP congestion control algorithms TLS 1.3 handshake internals HTTP/2 multiplexing & HPACK HTTP/3 + QUIC packet loss recovery Connection pooling pitfalls Zero-downtime deployment strategies Database transaction isolation levels (serializable vs snapshot) B-tree vs LSM-tree index internals Query planner & cost-based optimization Deadlock detection & prevention ACID vs BASE trade-offs Two-phase commit vs Saga pattern Distributed locking (Redlock pitfalls) CAP theorem in practice CRDTs & conflict-free replicated data types Eventual consistency anti-patterns Kafka partition rebalancing & exactly-once semantics RabbitMQ dead-letter queues & message ordering gRPC streaming + flow control GraphQL resolver batching & N+1 problem OAuth2 token introspection vs JWT validation Rate limiting algorithms (token bucket vs leaky bucket) Circuit breaker + bulkhead patterns Observability: OpenTelemetry tracing propagation Prometheus metric cardinality explosion Log aggregation with sampling Memory-mapped files vs traditional I/O Garbage collection tuning (G1 vs ZGC) Thread pools vs virtual threads (Project Loom) Actor model vs shared-memory concurrency Message-driven architecture (Akka / Orleans) CQRS + Event Sourcing projections Outbox pattern for reliable events Sharding strategies & hot partition avoidance Read replicas lag monitoring Database connection pool exhaustion Prepared statement caching Index bloat & vacuum strategies Kubernetes pod disruption budgets Service mesh traffic shifting Serverless cold-start mitigation API gateway throttling & caching layers Background job queues (Celery / BullMQ) retry semantics Distributed cache invalidation (cache-aside vs write-through) Eventual consistency in cache Idempotency keys in API design Optimistic locking with version vectors Paxos / Raft consensus internals Byzantine fault tolerance basics Chaos engineering principles Database failover & split-brain prevention Microservices observability (distributed tracing) API contract testing (Pact / Spring Cloud Contract) Backward-compatible schema evolution Protobuf vs JSON performance trade-offs Binary protocol parsing Zero-copy networking (sendfile) epoll / kqueue internals Syscall overhead & context switching Memory barriers & CPU cache coherence Lock-free data structures Bloom filters & HyperLogLog in practice Consistent hashing for load balancing Virtual memory & page faults impact Container runtime security (seccomp, AppArmor) Sidecar pattern limitations Service discovery (Consul vs DNS) Blue-green vs canary deployments Feature flags with rollout strategies Data pipeline backpressure handling Exactly-once processing guarantees Idempotent consumers in event streams And if you only know 10 — kindly return the “Senior Backend Developer” title. 😄
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ERC-8004 gave us Trustless Agents. I built Trustless Agents Plus - TAP A solution for fragmented multi-chain ERC8004 AI Agents. With TAP, your multi-chain Agent acts like ONE. One aggregated reputation. One canonical identity. On-chain verifiable. Soulbound. Try it out 👇
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Built Overhang — paste any token, get your safe size, whale PnL overhead, and a staged exit plan before you ape. @birdeye_data #BirdeyeAPI #BuildInPublic
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planning hackathon on <redacted> on Thursday March 19th in our new office in sf about some cool stuff we've been buliding - if you're in sf please email me your github to georgios @ tempo dot xyz - website w/ more stuff hopefully up tmr
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