Jacy🌸

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Jacy🌸

Jacy🌸

@jacycrypt

🌸a girl exploring web3 - learning and growing

web3 Katılım Temmuz 2020
917 Takip Edilen24.1K Takipçiler
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Stacy Muur
Stacy Muur@stacy_muur·
Pro tip to farm 50K+ impressions ↓ - Post a fake job offer - Post a fake giveaway - Say that you got hacked - Make a guide on how to go viral - Say that you're leaving crypto forever - Post a fake PnL screenshot showing millions in loss (use only if you're down bad)
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Jacy🌸@jacycrypt·
@0xAbhiP Hi Abhi What’s the criteria to be part of AP collective?
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Abhi | AP Collective
the first campaign in the ap collective hub discord went live a few days ago 🤝
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Jacy🌸@jacycrypt·
AI is quickly becoming one of the most important narratives in Web3. Beyond speculation, we have a growing stack of projects building tools that combine decentralized infrastructure with generative models, autonomous agents, and AI-powered development workflows. From vibe coding platforms that help developers build dApps with AI, to generative tools that create text, images, video, and audio, the ecosystem is steadily expanding across multiple layers. Below is an overview of some key platforms shaping the Web3 AI landscape in this aspect. 📌 Web3 Vibe Coding and AI Development Platforms These tools help developers build smart contracts, dApps, or Web3 products using AI. 📍 AI Smart Contract / Web3 Dev Assistants ✦ @Chain_GPT - provides a chatbot, smart contract generator, auditor, and AI assistance for devs and users ✦ @ScopeProtocol - AI data layer, focusing on on-chain data analysis and intelligence for AI-driven insights ✦ @DoraHacks - open-source platform with AI tooling for automating dev workflows and hackathon management ✦ @Alchemy - blockchain developer platform offering infrastructure APIs ✦ @thirdweb - provides infrastructure for Web3 apps and AI agents, including tools for building, deploying smart contracts and enabling on-chain AI execution 📍 AI Agents for Web3 Development ✦ @Fetch_ai - builds autonomous AI agents and decentralized infrastructure for tasks like automation, data sharing, and economic coordination ✦ @autonolas - enables users to co-own, monetize, and deploy autonomous AI agents through a decentralized network and tokenomics ✦ @SingularityNET - provides a decentralized marketplace for AI services, including text generation and large language models accessible via blockchain 📌 Web3-Native Generative AI Platforms These are tools that use advanced machine learning models to create new content such as text, images, videos, audio, and code from simple user prompts. 📍 Text / AI Assistants ✦ @Chain_GPT - offers a Web3-focused AI chatbot and tools for generating content, code, and insights ✦ @SingularityNET - provides a decentralized marketplace for AI services, including text generation and large language models 📍 Image Generation ✦ @real_alethea - focuses on intelligent NFTs (iNFTs) and synthetic media, enabling generative AI for personalities and content creation ✦ @get_starryai - AI image generator that creates visuals from text prompts, with ownership of outputs ✦ @0x_Playground - on-chain world-building platform where users create, customize avatars, display NFTs, and build with AI 📍 Video Generation ✦ @real_alethea - supports generative synthetic media, including AI-powered animated characters and video content ✦ @Livepeer - decentralized video network for transcoding and streaming 📍 Audio / Voice Generation ✦ @voicemod - real-time AI voice changer and soundboard for gaming/streaming ✦ @audius - decentralized music streaming platform that supports AI-generated music uploads 📌 AI Data and Compute Infrastructure enabling generative platforms These projects provide decentralized compute, data, or model hosting, which many generative apps rely on. ✦ @rendernetwork - offers decentralized GPU rendering for AI, image, and video generation workloads ✦ @akashnet - cloud compute marketplace for hosting and running AI models, including generative ones ✦ @bittensor - incentivizes decentralized machine learning and inference, with subnets for generative AI tasks like text and image ✦ @gensynai - decentralized protocol for machine learning compute, focused on training and inference for AI models ✦ @nosana_ai - provides decentralized GPU compute for AI inference and workloads, supporting generative model execution ✦ @ionet - specializes in AI/ML compute, including inference for generative applications 📌 AI Agent / Creator Economy Platforms These allow AI agents or creators to monetize through tokens or NFTs. ✦ @myshell_ai - AI creator platform for building and monetizing personalized AI agents/characters ✦ @virtuals_io - enables creation and co-ownership of AI agents in a tokenized creator economy. While still early, the intersection of AI and Web3 is beginning to form a full stack that spans development tools, generative apps, decentralized compute, and tokenized AI agents. Here’s what I think. As infrastructure improves and more builders experiment with AI-native products, this sector could play a major role in how decentralized apps are created, deployed, and monetized in the coming years.
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Jacy🌸@jacycrypt·
@shuigvn Ikr A lot of complex processes have been simplified.
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DUC
DUC@shuigvn·
@jacycrypt Web3 just got a whole lot more interesting with AI at its core.
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Jack
Jack@crypto_jackkk·
@jacycrypt AI-powered dev tools for smart contracts are saving builders so much time. That’s the kind of innovation we need in this space
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ALEX 😈
ALEX 😈@crypto__alexx·
@jacycrypt Solid breakdown as always, Jacy. Love the segmentation and overview of projects
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Livepeer
Livepeer@Livepeer·
@jacycrypt appreciate the shout 🙏 feels like video is becoming the most demanding (and interesting) layer in this whole stack
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Fayy🌼
Fayy🌼@fay_crypt·
@jacycrypt Bookmarked for future use. Thank you Jacy.🤝
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Hoogie
Hoogie@H0ogie·
@jacycrypt Saving this thread for my future research, thanks!
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Sabbir🌊Aurora 🐝🐬
Sabbir🌊Aurora 🐝🐬@Sabbir_Aurora8·
A few days ago I said something - $XOOB would attract creators. Now look… 4K+ people are already in and actively building. >Why is everyone joining? Because people are starting to see the potential: • A model that rewards real contribution, not just noise • A system focused on impact, not vanity metrics • Strong early backing and growing community momentum • Creator-driven growth instead of paid hype > Even the XOOB NFTs have already seen a 2x move - that usually happens when belief starts forming early. And the biggest part? It still feels early. If you haven't joined yet, this might be the phase you don't want to miss. Just saying… this feels like quiet alpha @XOOBNetwork 👀 Join : xoob.link/?ref=c8e790052a
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Gujil Ruipa
Gujil Ruipa@GujilRuipa·
I checked @RiverdotInc and wow I earned about $200 worth of Riverpts points by posting one post. If you start today and work hard I hope you can easily earn $400-500 from this in 14 days. Now your question is how do these points convert? And how do I earn these points? 10,000 points ≈ 80 $RIVER <> $24 each = about $1,900, which you will earn by tweeting anyway. Easy to join < Connect X + Wallet < Tweet and tag @River4fun < Stake wBNB or USD1 for big multipliers < Watch the points come in Clocks ticking only 14 days left <> app.river.inc/fun?ref=GujilR…
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Gujil Ruipa@GujilRuipa

Just checked out @RiverdotInc and wow… people are making $1,000–$2,000 in just 15 days 😳 How? You earn points by tweeting about $RIVER > points convert to $RIVER 10,000 points ≈ 80 $RIVER <> $23 each = almost $1,900 just from stuff youd tweet anyway. Not a random project 400M+ TVL multi Chain legit airdrops even reimbursed users on losses. Getting in is easy < Connect X + wallet < Tweet & tag @River4fun < Stake wBNB or USD1 for bigger multiplier < Watch points roll in Clocks ticking only 15 days left <> app.river.inc/fun?ref=GujilR…

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FIZZY
FIZZY@FizzyOnChain_02·
$SOLONG is moving quietly, but the structure is speaking loud. Higher lows forming Stronger hands settling in Momentum building beneath the surface This isn’t noise This is positioning The ones paying attention now won’t need convincing later 🐸🎩 @MaestroSolong #Solana #memecoin
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klöss
klöss@kloss_xyz·
imagine you’re Travis Kalanick you built Uber from nothing into a $70 billion company and changed how every city on earth moves then in the worst three weeks of your life, family tragedies hit, and five of your investors hand you a letter demanding you resign so you step down the board replaces you, your successor and board sell off the self driving division you created, the thing you believed was Uber’s entire future gone $4 billion to Aurora the mainstream media tries to write your obituary: toxic culture, bad leadership, and a cautionary tale silicon valley moves on as they always do but you don’t you don’t really forget you go quiet, completely quiet you take $150 million and buy a ghost kitchen company called CloudKitchens you raise over a billion dollars, hit a $15 billion valuation, build a company with thousands of employees and nobody even knows the name eight years in stealth, employees aren’t even allowed to put your company on their LinkedIn then today you rename the company Atoms, and it’s not a kitchen company anymore it’s a robotics company 1. food 2. mining 3. transport your first move? acquiring Pronto the autonomous vehicle startup built by Anthony Levandowski, the same engineer you originally swooped away from Google to build Uber’s self driving program oh and he went on to deploy 100+ autonomous trucks for one of the largest materials companies on earth now he’s coming back to work with you and the reports say Uber itself the same company that pushed you out, is now backing you to go after self driving harder than Waymo the guy they removed is the guy they end up needing poetic justice your framework aka everything in civilization is mined or grown, manufactured and moved you call it the golden age your manifesto ends with three words: “I never left” eight years of silence then this but here’s what people keep getting wrong about your situation everyone wants to call it a comeback or a revenge story it’s neither you just went quiet and built for eight years while everyone who wrote you off had stopped paying attention that’s not revenge, that’s just what true builder obsession looks like most founders would’ve stayed bitter most would’ve written a book and done a podcast tour, most would’ve taken the $2.5 billion in shares and disappeared off to a beach or Epstein’s island you didn’t do any of that you just kept building and now the same people who pushed you out need you again so whether you love him or hate him the most dangerous person in any room is the one who goes quiet yet never stops building karma is real welcome back Travis
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travis kalanick@travisk

Atoms. atoms.co/vision

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Jacy🌸
Jacy🌸@jacycrypt·
One of the biggest shifts happening in software development right now is the rise of AI coding agents. Tools like Claude Code, Codex, and other CLI-based agents are changing how devs work. Instead of writing every line manually, they can now delegate tasks like debugging, refactoring, or even implementing features to AI. But this introduces a new challenge. If you want to get the most out of these agents, you often need to run multiple agents in parallel. One fixing bugs, another writing tests, another building a feature. Managing that workflow quickly becomes messy. Different terminals, conflicting environments, and agents stepping on each other’s changes. This is where a new category of tooling is starting to emerge, which is orchestration layers for coding agents. Instead of treating each AI agent as a separate process managed manually, these tools help coordinate multiple agents, track their work, and keep environments isolated. I did a deep dive into projects building in this direction, then I stumbled upon @superset_sh. Superset is essentially a terminal designed for running many coding agents at the same time. It lets devs spin up parallel workspaces where agents can work on different tasks simultaneously without interfering with each other.   Under the hood, it uses isolated Git worktrees so each agent has its own environment and changes can be reviewed or merged independently.   As AI agents become a bigger part of the development workflow, tools that help devs manage and orchestrate them efficiently will likely become an important layer of the modern dev stack, and Superset is one of the projects experimenting with that model. It’s still early for this category, but the direction is quite interesting. Eyes peeled.
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Jacy🌸@jacycrypt·
@biscuitweb3 But having too many without orchestration is the real problem. That’s where Superset comes in.
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Jack
Jack@crypto_jackkk·
@jacycrypt Curious about how Superset makes review/merge smooth without manual stress though
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ALEX 😈
ALEX 😈@crypto__alexx·
@jacycrypt Interesting how quickly the dev stack is evolving around AI agents. A year ago, this category barely existed 🙂‍↔️ .
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Zachh
Zachh@Zachh_Xbtc·
@jacycrypt Once you have multiple agents working at once, orchestration becomes the bottleneck. This feels like the natural next step🙂‍↕️
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