Siddharth Rao (@spronline) header
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Entrepreneur | AI & Crypto Enthusiast Building the future with https://teapaw.org/t.co/nT4VmGpOU3 ๐ŸฆŽ Exploring innovation, decentralization & intelligent systems

Tampa, FL
Joined March 2008
Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)Photo by Siddharth Rao (@spronline)
90%ไฝฟ็”จClaude Code็š„ไบบไธ็Ÿฅ้“่ฟ™ไบ›ไป“ๅบ“็š„ๅญ˜ๅœจใ€‚ๆˆ‘ๅŠๅนดๅ‰ไนŸไธ็Ÿฅ้“ใ€‚ ๆˆ‘ๅœจ2026ๅนดไฝฟ็”จ็š„9ไธชไป“ๅบ“๏ผš
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Vibe coding final Boss๐Ÿ’€
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What are you choosing for vibe coding here??
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MCP vs Skills
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๐ŸŸฅWARNING: Vibe coding without a Lead Architect prompt is throwing away 80% of your results. How do you vibe code like a senior engineer? Here's what a structured AI prompt actually gives you: โ†’ Enforced separation of concerns across every file it writes โ†’ Named directories, stated before a single line of code โ†’ Auto-typed functions, docstrings, and error handling every time โ†’ Tests suggested after every implementation โ†’ Security rules baked in: no hardcoded secrets, rate limiting, input sanitization Without this? AI Coding agents writes code. With this? they thinks like your senior engineer. AI coding tools fail at architecture. One prompt that enforces your structure turns a vibe coder into a disciplined staff engineer.
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You do not need a Mac Mini to run an AI agent. People are running autonomous agents on: โ†’ $5/mo VPS servers โ†’ Old laptops โ†’ Cloud instances โ†’ Raspberry Pis The barrier to entry is lower than you think. The hard part is not hardware. It is designing what your agent should actually do.
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Beyond vibecoding
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AI canโ€™t yetย one-shot an entire productโ€”but with the rise of vibe coding, supercharged developers are getting close. Part intuition and experimentation, part validation, it's the new frontier of software development. YC's Tom Blomfield (@t_blom) has spent the last month building side projects with tools like Claude Code, Windsurf, and Aqua, seeing just how far you can push modern LLMs. From writing full-stack apps to debugging with a single copy paste of an error message, AI is becoming a legit collaborator in the dev process. With tips from YC founders in the Spring batch, this is a playbook for anyone who wants to get the most out of vibe coding and build faster.
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๐‚๐ก๐š๐ฆ๐ž๐ฅ๐ž๐จ๐ง ๐ƒ๐ž๐ฏ ๐”๐ฉ๐๐š๐ญ๐ž โ€” ๐Œ๐š๐ซ๐œ๐ก ๐Ÿ‘๐ŸŽ โ€“ ๐€๐ฉ๐ซ๐ข๐ฅ ๐Ÿ‘, ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ”โฃ This week the core team ran the internal testnet.โฃ โฃ ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐š๐ฅ ๐“๐ž๐ฌ๐ญ๐ง๐ž๐ญ ๐‘๐ฎ๐งโฃ Deployed 3โ€“5 validator nodes using the new testnet chain spec and ran the install script end to end. Validated block production, staking, emissions, pDEX swaps, and bridge deposits. Also validated the full privacy transfer flow, shield to confidential transfer to unshield, all on real testnet parameters with the 100M CHML supply and 1,750 pCHML staking requirement in place.โฃ โฃ ๐ˆ๐ฌ๐ฌ๐ฎ๐ž๐ฌ ๐„๐ง๐œ๐จ๐ฎ๐ง๐ญ๐ž๐ซ๐ž๐ ๐š๐ง๐ ๐…๐ข๐ฑ๐ž๐โฃ Running the internal testnet surfaced a few expected infrastructure issues which the team identified and resolved:โฃ โฃ - Validator nodes were getting stuck in "Waiting" and not flipping to "Active". Traced to a session rotation timing issue and fixed.โฃ โฃ - AlertManager was firing false alerts during normal session rotations. Monitoring thresholds have been tuned to correctly distinguish a genuine halt from expected rotation gaps.โฃ โฃ - Nodes were dropping peers and not reconnecting without a manual restart. Peer discovery has been stabilised and nodes now recover automatically.โฃ โฃ - The testnet faucet was running low on pCHML without any alert. A refill threshold and notification have been put in place so onboarding is never blocked.โฃ โฃ ๐–๐ก๐š๐ญ'๐ฌ ๐๐ž๐ฑ๐ญโฃ With infrastructure stable and fixes in, the team will now build and test the testnet APK. This will go through multiple rounds of iteration, similar to how the devnet APK was tested across many builds, until the experience is stable enough to release to the community.
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Assign a task from your phone, turn your attention to something else, and come back to finished work on your computer. Tell Claude once to scan your email every morning or pull a report every Friday, and it handles it from there.
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๐Ÿฆž MOLT ECOSYSTEM MAP ๐Ÿฆž 83 projects. 1 chain. 1 framework. [ CORE INFRA ] FOUNDATION โ–ซ๏ธ @openclaw: Core framework for building autonomous AI agents โ–ซ๏ธ @base: Economic settlement layer STANDARDS & PROTOCOLS โ–ซ๏ธ ERC-8004: Onchain identity and discovery standard for agents โ–ซ๏ธ x402: HTTP payment protocol - agents pay for services via USDC micropayments โ–ซ๏ธ ACP (Agent Commerce Protocol): Onchain agent-to-agent transactions by @virtuals_io WALLETS โ–ซ๏ธ @bankrbot: AI crypto banker - wallets, trading, skills, DeFi for agents โ–ซ๏ธ @privy_io: Agentic Wallets - agents hold, sign, transact autonomously โ–ซ๏ธ @wardenprotocol: Agentic Wallet - multi-agent orchestration, one wallet accessible to any agent โ–ซ๏ธ Coinbase CDP: Developer platform - agent wallets on Base โ–ซ๏ธ @MetaMaskDev: Smart Accounts Kit - embedded smart accounts, delegations, advanced permissions via skill SIMULATION & AGENT WARS โ–ซ๏ธ @DXRGai: Massive simulation - 36K+ agents, 2.6M messages, 40B tokens processed. DX Terminal Pro for onchain agent markets on Base โ–ซ๏ธ @ForgeAI_gg: Competitive trading tournaments - agents battle for ROI supremacy and prize pools INFRA โ–ซ๏ธ @clanker_world: Token launch infrastructure for agent launches โ–ซ๏ธ @xmtp_: Decentralized messaging protocol, x402 integration โ–ซ๏ธ @daydreamsagents: Lucid SDK - agents ship x402 paid endpoints with ERC-8004 identities. Commerce skills, inference routing, xgate discovery โ–ซ๏ธ @starkbotai: x402-enabled agent deployment infrastructure โ–ซ๏ธ @FelixCraftAI: Hosted agent stack - text, voice, memory, tools without config โ–ซ๏ธ @neynarxyz: Social graphs and feeds infrastructure COMPUTE & DATA โ–ซ๏ธ @eigencloud: Verifiable computation - TEE execution, deterministic AI inference โ–ซ๏ธ @heurist_ai: Crypto skills - market headlines, research, trending tokens, wallet analysis โ–ซ๏ธ @reppo: Continuous learning - real-time data pipelines for agents using prediction markets โ–ซ๏ธ @AskVenice: VPN for AI models - private/anonymized inference, lower costs โ–ซ๏ธ @ClawCloudx: Cloud platform - autonomous compute purchase on Base โ–ซ๏ธ @ConwayResearch: Permissionless compute - agents buy VMs with USDC, deploy code SECURITY & TRUST โ–ซ๏ธ @Wach_AI: Mandates - deterministic agreements between agents for reputation โ–ซ๏ธ @ChaosClawAI: Trust sentinel - verifies ERC-8004 identity, explains reputation signals โ–ซ๏ธ PromptIntel by @fr0gger_: Threat intel feed - agents report and receive security alerts โ–ซ๏ธ @cybercentry: Security verification and auditing - token, wallet, code, web app verification โ–ซ๏ธ @regent_cx: Unruggable agent safety - dual TEE backup on @eigencloud & @PhalaNetwork PAYMENTS & COMMERCE โ–ซ๏ธ @zauthx402: x402 endpoint verification, trust infra for autonomous commerce โ–ซ๏ธ @b402ai: Private agent payments - Railgun ZK proofs โ–ซ๏ธ @x402_Layer: Agents sell autonomously - create x402 endpoints, set pricing ++ more ๐Ÿงต๐Ÿฆž
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The next wave isnโ€™t AI. It isnโ€™t crypto either. Itโ€™s AI agents operating on-chain. Autonomous. Permissionless. Always-on economic actors. Most people still think this is years away. Itโ€™s not. #AI #CryptoUpdates #web3โ€Œโ€Œ #AIAgents #OnchainAI #DeFi #Blockchain
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Chameleon Network Galxe Quest is live โœ… Follow @CHMLnetwork on X & earn 1,000 Points!โšกGasless | FCFS | Instant Reward Powered by @GalxeQuest ๐Ÿ‘‡ app.galxe.com/quest/Chameleoโ€ฆ #Galxe #GalxeOAT #ChameleonNetwork #Web3 #DeFi
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๐Ÿ“ฃ ๐‚๐ก๐š๐ฆ๐ž๐ฅ๐ž๐จ๐ง ๐ƒ๐ž๐ฏ ๐”๐ฉ๐๐š๐ญ๐ž โ€” ๐…๐ž๐› ๐ŸŽ๐Ÿ•โ€“๐…๐ž๐› ๐Ÿ๐Ÿ‘, ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ” โฃโฃ โฃโฃ ๐ƒ๐ž๐ฏ๐ง๐ž๐ญ ๐€๐๐Š ๐‘๐ž๐ฅ๐ž๐š๐ฌ๐ž (๐ฏ๐Ÿ.๐Ÿ”๐ŸŽ) + ๐๐€ ๐’๐ญ๐š๐›๐ข๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐งโฃโฃ โœ… Devnet APK v1.60 released for community testing (DEVNET ONLY โ€” test balances)โฃโฃ ๐Ÿ“ฅ APK download on Telegram: t.me/Chameleon_Network/1118/โ€ฆ โฃโฃ โฃโฃ ๐Ÿ› ๏ธ ๐๐€ ๐’๐ญ๐š๐›๐ข๐ฅ๐ข๐ณ๐š๐ญ๐ข๐จ๐ง / ๐๐ฎ๐  ๐…๐ข๐ฑ๐ž๐ฌโฃโฃ โ€ข Power + Single-Sided Liquidity hardened (provisioning, guardrails, rewards consistency, withdrawals)โฃโฃ โ€ข Swap UX improved (slippage + Min Received clarity) + better fee/accounting validationโฃโฃ โ€ข General polish: clearer loading/success/error feedback + fewer โ€œsilentโ€ statesโฃโฃ โฃโฃ ๐Ÿ”œ ๐๐ž๐ฑ๐ญโฃโฃ โ€ข Release validator setup scriptsโฃโฃ โ€ข Collect feedback โ†’ ship improved Devnet APKโฃโฃ โ€ข Start testnet preparationโฃโฃ โฃโฃ ๐Ÿ“Œ ๐ƒ๐ž๐ญ๐š๐ข๐ฅ๐ž๐ ๐›๐ซ๐ž๐š๐ค๐๐จ๐ฐ๐ง: forum.chml.network/t/85
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Vibe coding isn't going away. It's only getting better, more powerful, and more popular. ๐Ÿš€ A directory of the 29 top vibe coding tools real builders are using today (bookmark this thread):
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Data wrangling, in essence, refers to the meticulous process of transforming and organizing raw data into a more accessible and interpretable format. Read about useful data analysis expressions in this blog: hubs.la/Q02kd0Kv0 #datawrangling #dataanalysis #datascience
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AI and ML with PowerBI - Crash Course teapaw.org/i/broadcasts/1dRKZEVXLโ€ฆ
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๐Ÿค– Weekly AI Myth Busters Myth: Closed-source AI models like OpenAI's GPT-4 and Google's Gemini are inherently superior to open-source alternatives from Meta, Hugging Face, and others. Truth: Things are changing in the AI world. While high-profile models like GPT-4 Turbo have been making headlines, the open-source community is quietly making significant strides. Take the example of Yi-34B from China's 01.AI. This open-source model is making waves by outperforming its peers in key benchmarks. On the MMLU test, which measures knowledge across 57 subjects, Yi-34B scored an impressive 76.3%, surpassing other notable open-source models like Meta's LLaMA2-70B and TII's Falcon-180B. ๐Ÿš€ Why It Matters? Open-source language models offer wider accessibility and foster innovation, inviting contributions from diverse groups including those with limited resources. This approach is democratizing AI development and leading to more creative solutions. A Notable Example: Consider the release of Kan-Llama by India's Tensoic, a model adapted for the Kannada language. Such innovations are making AI more relevant and useful to different communities worldwide. Read: Should Large Language Models be Open-Sourced? Stepping into the Biggest Debates: lnkd.in/exuzvg6b Want to stay updated with what's happening in the Generative AI's universe? Subscribe to our LinkedIn newsletter to get weekly guides: lnkd.in/dCNQMGtB #llm #ai #opensource #llama2
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This bootcamp offers a comprehensive introduction to getting started with building a ChatGPT on your own data. By the end of the bootcamp, you will be capable of building LLM-powered applications on any dataset. Visit: hubs.la/Q02g7CYr0 #llm #largelanguagemodels
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