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Introducing Fireblocks Flow. Flow is stablecoin acceptance infrastructure for PSPs and fintechs. Consumers can pay with any digital asset. Merchants settle the stablecoin they configure. If you process millions of payments across Africa, LatAm, or Southeast Asia, you know accepting stablecoins is messy. Now, it’s easy with one SDK... show more

Dynamic

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11,066 Aufrufe • vor 2 Monaten •via X (Twitter)

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Introducing Google Flow Agent 🎬 ✅ Google Flow Agent can help you plan and reason through complex creative tasks with your inputs, all while under your control. 🧠 It's built with Gemini models and brings a deep understanding of your project to help with everything from early brainstorming to editing the final product. 💡 The agent can be a sounding board for dialogue between characters in a scene, and make plot recommendations when you need inspiration. 🎞️ Your Google Flow Agent can also create multiple variations of a scene at one time to give you more options and batch edit. 📂 And when you have all your final assets, your Google Flow Agent can organize them into collections, and even neatly rename them.

Introducing Google Flow Agent 🎬 ✅ Google Flow Agent can help you plan and reason through complex creative tasks with your inputs, all while under your control. 🧠 It's built with Gemini models and brings a deep understanding of your project to help with everything from early brainstorming to editing the final product. 💡 The agent can be a sounding board for dialogue between characters in a scene, and make plot recommendations when you need inspiration. 🎞️ Your Google Flow Agent can also create multiple variations of a scene at one time to give you more options and batch edit. 📂 And when you have all your final assets, your Google Flow Agent can organize them into collections, and even neatly rename them.

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When I’m trying to improve the user experience of my applications, one of the most valuable things is being able to see an entire user flow as a storyboard. Not just one screen or screenshot at a time. This is something I love using the `/visual-plan` skill for. You can describe any flow you want, and the agent will look through your code and wireframe out a storyboard of what the flow looks like. Then you can visualize the steps in a simplified way and spot areas to improve. Recently, I found that in certain flows we were still asking for organizations, even though I thought I had gotten rid of that and made it automatic. A quick storyboard let me see all the different code paths in a simple, visual, intuitive way. Spot the areas of the flow I didn’t want. And have the agent fix it. Sign up, onboarding, and setup flows are usually some of the most important experiences in your app. And usually the least looked at. Especially because it can be hard to reproduce every flow, for every situation, for every user type, feature flag, or whatever else you have. The `/visual-plan` skill lets you visualize any part of your code. Either to understand the current state, plan out a new state, or recap updates that were made. I’m pretty addicted to this skill. I use it for a lot of other things too, so let me know if you want to see videos on those. And of course it’s all open source. You can grab it on my GitHub. I'll link to it in the thread. If you try it, let me know your feedback.

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Replit ⠕

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We are pleased to share that we have expanded our stablecoin offering with the addition of Ripple USD (RLUSD). This integration allows Zero Hash customers to access RLUSD to process transactions on both the XRP Ledger and Ethereum networks. Zero Hash's API and SDK infrastructure now supports over 65 digital assets, including 5 stablecoins, across multiple chains, reinforcing our position as the comprehensive solution for platforms seeking to design and build new ways to store, exchange and move value globally. RLUSD is now part of Zero Hash’s stablecoin engine. "The addition of RLUSD to our ecosystem demonstrates Zero Hash's commitment to providing our customers with access to the most innovative and regulated stablecoin technologies," said Edward Woodford, Founder and CEO at Zero Hash. Read the press release: #Stablecoins #Payments #Ripple

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There is ZERO reason to pay $100, $700, or even $1,500 per month for options flow and GEX tools. Get everything you need plus more with Market Mono for only $40/month. Use code 'MONO' for 10% off on top of that for 3 months Below is a video going over all the pages we offer as of 7/22. We offer 10x more than your GEX or Flow only platforms $SPY $QQQ

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Nightly

2,312,564 Aufrufe • vor 6 Monaten

Rasmr explains why having cash flow makes him cooler than a rich trencher with no income "There's a bunch of people with 3 mil PnL, but they don't have cash flow. I have money I make every month, I run this show, I have employees, I pay clippers. In my opinion what I do is cooler than just trenching, even if you have 8 or 10 mil, because I actually provide value and have a public persona." "I value clout, and I'm friends with really high level people. Just in Miami I linked with orangey, bread scales, Dylan Latham. That has real value, because if I'm doing business eventually, that network is going to pay off." "When you're a trader and you don't have cash flow, that's how you start taking bigger and bigger risks. You start rugging people, you start dumping on your followers, because you think you're rich and you elevate your lifestyle to 50k a month, and then you need a trade to profit just to keep spending. They don't have the cash flow to support the lifestyle."

Rasmr explains why having cash flow makes him cooler than a rich trencher with no income "There's a bunch of people with 3 mil PnL, but they don't have cash flow. I have money I make every month, I run this show, I have employees, I pay clippers. In my opinion what I do is cooler than just trenching, even if you have 8 or 10 mil, because I actually provide value and have a public persona." "I value clout, and I'm friends with really high level people. Just in Miami I linked with orangey, bread scales, Dylan Latham. That has real value, because if I'm doing business eventually, that network is going to pay off." "When you're a trader and you don't have cash flow, that's how you start taking bigger and bigger risks. You start rugging people, you start dumping on your followers, because you think you're rich and you elevate your lifestyle to 50k a month, and then you need a trade to profit just to keep spending. They don't have the cash flow to support the lifestyle."

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Introducing Agent Wikis! I've been using llm wikis (or knowledge bases) for research and videos for a while to ensure the information I'm providing is always up-to-date and accurate. Now you can access them for free! Just point your agent at to access wikis on many topics, including Hermes Agent, Hyperframes, Google Ads, and llama.cpp. They can be queried through a simple MCP server. Everything has been designed to be agent-friendly and lightweight (no context bloat). This is a beta release, so please let me know of any bugs or issues (I'm sure there are one or two). You can also join the waitlist if you would like us to create and maintain your own private wiki, or if you are a project owner you can request one for your project to make sure your users (and their agents) don't run into any common issues (and also be featured on the site). Thank you!

tonbi

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Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools — all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource — a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks — they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed — gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system — it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK — bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read — not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care — it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. 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Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW — not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network — using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite — it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools — all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource — a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks — they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed — gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system — it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK — bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read — not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care — it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem — FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key — mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level — the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW — not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network — using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite — it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.

doodlifts

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Spending crypto shouldn't require swapping, bridging, or withdrawing. It's exhausting. With PAJ, you can send naira to anyone using any Solana token with no pre-conversion required. Local businesses and merchants can accept crypto payments that settle directly as naira into their bank accounts, without ever touching a crypto wallet. For developers, the PAJ API makes it easy to integrate seamless crypto payments into any application. This is how crypto is meant to be!! JUST PAJ IT!! Get started, Visit -

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Crypto Oracle ||🐧||

28,329 Aufrufe • vor 1 Monat

Last week, we shared a refresher on our favorite Flow features. Today, we're doing a deep dive into prompting with a few tips on how to craft the optimal prompt, create your dream video, and #FindYourFlow 🕺 Clearly identify your characters or objects and describe their movements 🎥 Frame your shot with compositional terms like "wide shot" or “close-up" and direct the camera with instructions like "tracking shot" or "aerial view" 💡The lighting and environment set the entire mood. Instead of "a room" use more descriptive terms like "a dusty attic filled with forgotten treasures, a single beam of afternoon light cutting through a grimy window" 🧸 Flow is not limited to realistic visuals. You can experiment with a wide array of animation styles like "stop motion" or "knitted animation" 🗣️ With Veo 3, you can include sound effects and dialogue in your prompt. Describe the ambient sounds happening throughout the scene and generate dialogue by including it in your prompt. For more Flow tips, see here ➡️ 🚨Pro tip: this is another great bookmark 😉

Last week, we shared a refresher on our favorite Flow features. Today, we're doing a deep dive into prompting with a few tips on how to craft the optimal prompt, create your dream video, and #FindYourFlow 🕺 Clearly identify your characters or objects and describe their movements 🎥 Frame your shot with compositional terms like "wide shot" or “close-up" and direct the camera with instructions like "tracking shot" or "aerial view" 💡The lighting and environment set the entire mood. Instead of "a room" use more descriptive terms like "a dusty attic filled with forgotten treasures, a single beam of afternoon light cutting through a grimy window" 🧸 Flow is not limited to realistic visuals. You can experiment with a wide array of animation styles like "stop motion" or "knitted animation" 🗣️ With Veo 3, you can include sound effects and dialogue in your prompt. Describe the ambient sounds happening throughout the scene and generate dialogue by including it in your prompt. For more Flow tips, see here ➡️ 🚨Pro tip: this is another great bookmark 😉

Google Labs

33,904 Aufrufe • vor 1 Jahr

Stop Creating Images One by One (Automate Everything with Google Flow) Creating AI images manually is one of the biggest time wasters for content creators. This tutorial shows you how to automate the entire process with Google Flow, so you can generate hundreds of high quality images in bulk instead of repeating the same prompts over and over. You'll learn how to build an automated workflow, batch generate AI images, download them automatically, and scale your content creation with far less effort. If you're creating YouTube videos, social media content, marketing assets, or AI projects, this workflow can save you hours every week. Like, Retweet and Bookmark. Follow BIG CHRIS 🤝 Video Credit: AI Content Insights (

Stop Creating Images One by One (Automate Everything with Google Flow) Creating AI images manually is one of the biggest time wasters for content creators. This tutorial shows you how to automate the entire process with Google Flow, so you can generate hundreds of high quality images in bulk instead of repeating the same prompts over and over. You'll learn how to build an automated workflow, batch generate AI images, download them automatically, and scale your content creation with far less effort. If you're creating YouTube videos, social media content, marketing assets, or AI projects, this workflow can save you hours every week. Like, Retweet and Bookmark. Follow BIG CHRIS 🤝 Video Credit: AI Content Insights (

BIG CHRIS

54,520 Aufrufe • vor 1 Monat

Launching Notebooks on Agent Two: Day 5 of 12 Days of Agent Two. With notebooks, you have complete control over the work you do with individual models. invideo's got ALL the state-of-the-art models across images, video, sound, music, creative tools. So essentially you can work with the Agent in free-flow, switch to the notebook for hands-on granular work on particular gens (both creating and editing gens), and switch back to the Agent as and when you like with no loss of context or output. This is the full range of how you can do creative work. And that's why Agent Two is the frontier intelligence agent out there. 4x faster, at half the price.

Launching Notebooks on Agent Two: Day 5 of 12 Days of Agent Two. With notebooks, you have complete control over the work you do with individual models. invideo's got ALL the state-of-the-art models across images, video, sound, music, creative tools. So essentially you can work with the Agent in free-flow, switch to the notebook for hands-on granular work on particular gens (both creating and editing gens), and switch back to the Agent as and when you like with no loss of context or output. This is the full range of how you can do creative work. And that's why Agent Two is the frontier intelligence agent out there. 4x faster, at half the price.

Invideo

1,090,739 Aufrufe • vor 17 Tagen

We partnered with artists, designers, and builders to create new AI tools that solve real problems in their creative workflows. Here’s what’s new: — Introducing Google Pics in Google Workspace: A brand-new image creation & editing tool. Move and resize objects, add text, and translate just by hovering and clicking — Big updates to صافي النيه😉: 1) You can now create with Gemini Omni Flash in Google Flow 2) Google Flow Agent is a multi-step creative partner that reasons and plans complex tasks with you. 3) Google Flow tools are custom tools you can “vibe code” for animations, video effects, text layering & more — Design live with Stitch by Google: Now, you can use text or voice prompts to edit layouts in real time then export those designs straight to code — More creative control in صافي النيه😉Music: Edit songs section by section, remix the style of full songs, and create music videos with our new Gemini Omni Flash model

Google AI

13,954,011 Aufrufe • vor 3 Monaten