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I love what OpenBB is doing with Apps. It lets us connect any backend to any UI. The financial datasets backend has: 1 • financials 2 • stock prices 3 • crypto prices 4 • insider trades, etc We can plug our backend data into custom UI widgets. Really... show more

virat

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13,716 görüntüleme • 1 yıl önce •via X (Twitter)

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let's talk about Galaxy S23 Ultra One UI 6 Beta2 animation. Here is the video comparison, from which we can find several mistakes. 1. Compared with One UI 5.1, One UI 6 Beta2 gestures are unresponsive. Obviously, 5.1 has started to respond, and 6 beta2 stays in place like a fool. This is the root cause of the slowness you feel. 2. Compared with One UI 5.1, One UI 6 Beta2 animation is very simple, without the effect of wallpaper scaling, it looks very rigid and boring. 3. Compared with One UI 5.1 ，One UI 6 Beta2, there is almost no Gaussian blur effect. This is simply an animation made by elementary school students. It is the lowest-level design of human smartphone animation, and it is a garbage-level work that makes all colleagues laugh. Of course, I think Samsung will definitely change, but he is disgusting now. if beta3 does not change, I will continue to scold.

let's talk about Galaxy S23 Ultra One UI 6 Beta2 animation. Here is the video comparison, from which we can find several mistakes. 1. Compared with One UI 5.1, One UI 6 Beta2 gestures are unresponsive. Obviously, 5.1 has started to respond, and 6 beta2 stays in place like a fool. This is the root cause of the slowness you feel. 2. Compared with One UI 5.1, One UI 6 Beta2 animation is very simple, without the effect of wallpaper scaling, it looks very rigid and boring. 3. Compared with One UI 5.1 ，One UI 6 Beta2, there is almost no Gaussian blur effect. This is simply an animation made by elementary school students. It is the lowest-level design of human smartphone animation, and it is a garbage-level work that makes all colleagues laugh. Of course, I think Samsung will definitely change, but he is disgusting now. if beta3 does not change, I will continue to scold.

Ice Universe

121,124 görüntüleme • 2 yıl önce

Why Mobile Wallet Protocol? Warpcast uses Mobile Wallet Protocol to connect frames to a user's wallet on mobile devices. MWP is an open standard with great UX on mobile. Specifically: 1. It works 100% of the time. 2. It's fast. 3. It redirects you between apps smoothly See it in action with the Storage Fairy below. MWP was created by the Coinbase Wallet team and is an open protocol that can work with any wallet. Link in the next tweet. It's really well designed and can work with any wallet. If you're a wallet thinking of supporting MWP, reach out to us! Why not Wallet Connect? WalletConnect works great on desktop and we use it in Warpcast. But on mobile, we ran into several issues that led to bad UX or outright failures. We've shared feedback with the WC team and other wallets about the challenges we've faced and people are working on improving the experience.

Why Mobile Wallet Protocol? Warpcast uses Mobile Wallet Protocol to connect frames to a user's wallet on mobile devices. MWP is an open standard with great UX on mobile. Specifically: 1. It works 100% of the time. 2. It's fast. 3. It redirects you between apps smoothly See it in action with the Storage Fairy below. MWP was created by the Coinbase Wallet team and is an open protocol that can work with any wallet. Link in the next tweet. It's really well designed and can work with any wallet. If you're a wallet thinking of supporting MWP, reach out to us! Why not Wallet Connect? WalletConnect works great on desktop and we use it in Warpcast. But on mobile, we ran into several issues that led to bad UX or outright failures. We've shared feedback with the WC team and other wallets about the challenges we've faced and people are working on improving the experience.

Dan Romero

58,079 görüntüleme • 2 yıl önce

I've been using apps that I built myself with Claude AI I recorded 10+ hours of video with a video editor I made. I'm turning all my designs to code with a Figma plugin I made. With Cursor, I don't think twice before starting to build for macOS, iOS, web apis, backend, video... These felt unreachable before. Not anymore. There's never been a better time to learn code. AI will fill the gap. If you ever feel the need to build your own apps or code your own designs, it's a good day to start. Many tools and courses are on discount today, include my courses on We have 20+ hours of video for SwiftUI apps, React apps and React Native using Cursor. Feel free to drop tools and resources that are on discount 👇 I'll start: (I use 2 of their apps for professional AI upscaling) has a 54% discount Windsurf (Cursor alternative) has a free trial until Dec 11 has a 40% discount! has a lot of great ui kits on sale Last but not least, has a ton of great discounts. The MacBook is the best investment for coding. 🖤

I've been using apps that I built myself with Claude AI I recorded 10+ hours of video with a video editor I made. I'm turning all my designs to code with a Figma plugin I made. With Cursor, I don't think twice before starting to build for macOS, iOS, web apis, backend, video... These felt unreachable before. Not anymore. There's never been a better time to learn code. AI will fill the gap. If you ever feel the need to build your own apps or code your own designs, it's a good day to start. Many tools and courses are on discount today, include my courses on We have 20+ hours of video for SwiftUI apps, React apps and React Native using Cursor. Feel free to drop tools and resources that are on discount 👇 I'll start: (I use 2 of their apps for professional AI upscaling) has a 54% discount Windsurf (Cursor alternative) has a free trial until Dec 11 has a 40% discount! has a lot of great ui kits on sale Last but not least, has a ton of great discounts. The MacBook is the best investment for coding. 🖤

Meng To

73,935 görüntüleme • 1 yıl önce

Axis Launch Recap: Momentum & Upgrades 🔵 Another massive week for Axis! Since our official launch, the community's energy has been incredible, and the numbers speak for themselves: Growth since launch: - New Tasks Released: 55 - New Contributors: 11,474 - New Contributions: 137,395 - Active Simulation Time: ~4,390 hours Since launch, we have shipped: 1. Upgraded Gripping System: Fine-tuned friction and strength for a more lifelike, reliable grasp. 2. Expanded Teleoperation UI: Rescaled the workspace for a wider, more immersive field of view. 3. Fixed Release Schedule: Standardized daily new task drops at 12:00 PM UTC. 4. Infra Scaling: Upgraded our backend to handle high concurrency and massive traffic smoothly. We are just getting started (✱,✱)

Axis Launch Recap: Momentum & Upgrades 🔵 Another massive week for Axis! Since our official launch, the community's energy has been incredible, and the numbers speak for themselves: Growth since launch: - New Tasks Released: 55 - New Contributors: 11,474 - New Contributions: 137,395 - Active Simulation Time: ~4,390 hours Since launch, we have shipped: 1. Upgraded Gripping System: Fine-tuned friction and strength for a more lifelike, reliable grasp. 2. Expanded Teleoperation UI: Rescaled the workspace for a wider, more immersive field of view. 3. Fixed Release Schedule: Standardized daily new task drops at 12:00 PM UTC. 4. Infra Scaling: Upgraded our backend to handle high concurrency and massive traffic smoothly. We are just getting started (✱,✱)

Axis Robotics

29,561 görüntüleme • 4 ay önce

The official Parquet SDK is now available. Whether you're building a trading terminal, bot, portfolio dashboard, or structured product on Parquet, the SDK powers your backend. Developers can now: Open, close, and manage perpetual positions Read live market data (oracle prices, funding, open interest) Abstract away PDAs, oracle accounts, and error decoding The SDK is non-custodial: it returns unsigned instructions for the caller to sign and never holds private keys. Every release is built in CI and published with SLSA provenance via OIDC trusted publishing; verify integrity with npm audit signatures. Install: npm i @parqxchange/sdk Docs:

The official Parquet SDK is now available. Whether you're building a trading terminal, bot, portfolio dashboard, or structured product on Parquet, the SDK powers your backend. Developers can now: Open, close, and manage perpetual positions Read live market data (oracle prices, funding, open interest) Abstract away PDAs, oracle accounts, and error decoding The SDK is non-custodial: it returns unsigned instructions for the caller to sign and never holds private keys. Every release is built in CI and published with SLSA provenance via OIDC trusted publishing; verify integrity with npm audit signatures. Install: npm i @parqxchange/sdk Docs:

parq

49,772 görüntüleme • 2 ay önce

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt

While building SEV0, I ran into moments where natural language prompting just wasn't enough - too vague, too indirect. So I started using a method that bridges that gap. I call it Bridged Prompting - a technique where you temporarily step out of the prompt-response loop to manipulate something directly using an AI-generated UI, then step back in. Think of it like GenUI, but more user-driven and transient. AI generates a UI on-the-fly, tailored to your prompt, and lets you manipulate the artifact directly before resuming the conversation. Sure, you could build a full tool, switch tabs, wire it up and round-trip your data. But with Bridged Prompting, the AI just spins up a temporary interface right in the flow. In the video below, I used it to construct the hallway system to closely match the layout of the severed floor. This is something I needed to do for this one project, this one time - I didn't need to make a whole separate app. Bridged Prompting lets you: - Make precise edits visually or structurally - "Hit save" to persist changes to local storage or a backend - Return to your natural language prompt

Chris Tate

42,558 görüntüleme • 1 yıl önce

Natively integrated—and #PoweredbyPyth🔮 Native is a liquidity solution that combines bridges, assets, and pricing into one offering on prominent L1/L2s, including . Learn more about our integration below: ℹ️ About Native Sourcing and supplying liquidity is expected to become prohibitively expensive and challenging as more networks emerge. Liquidity fragmentation persists because pricing remains inventory-based. Native was designed in response to this complexity and offers an elegant solution for routing any asset on one chain into a new target asset on any target chain. Native achieves this through a cross-chain liquidity mesh of cross-chain liquidity networks, bridges, DEXs, and PMMs. More specifically, Native can aggregate the best prices from its network of AMMs, aggregators, and partnered PMMs, so that users will always have competitive prices. 🔮 Native is #PoweredByPyth Native taps into Pyth’s real-time feeds to fetch prices on-chain and off-chain. for example, Native leverages Pyth Price Feeds to power ZetaSwap and support its token pricing operations. How Native Leverages Pyth Price Feeds Native runs its own in-house price-oracle service which will fetch pricing from a variety of sources, including Pyth, to update token prices in Native's backend server. These prices are then fetched and displayed to users live via the NativeX widget. Native also seeks to provide its proprietary trading data and become a part of the Pyth data provider community - more details to come.

Natively integrated—and #PoweredbyPyth🔮 Native is a liquidity solution that combines bridges, assets, and pricing into one offering on prominent L1/L2s, including . Learn more about our integration below: ℹ️ About Native Sourcing and supplying liquidity is expected to become prohibitively expensive and challenging as more networks emerge. Liquidity fragmentation persists because pricing remains inventory-based. Native was designed in response to this complexity and offers an elegant solution for routing any asset on one chain into a new target asset on any target chain. Native achieves this through a cross-chain liquidity mesh of cross-chain liquidity networks, bridges, DEXs, and PMMs. More specifically, Native can aggregate the best prices from its network of AMMs, aggregators, and partnered PMMs, so that users will always have competitive prices. 🔮 Native is #PoweredByPyth Native taps into Pyth’s real-time feeds to fetch prices on-chain and off-chain. for example, Native leverages Pyth Price Feeds to power ZetaSwap and support its token pricing operations. How Native Leverages Pyth Price Feeds Native runs its own in-house price-oracle service which will fetch pricing from a variety of sources, including Pyth, to update token prices in Native's backend server. These prices are then fetched and displayed to users live via the NativeX widget. Native also seeks to provide its proprietary trading data and become a part of the Pyth data provider community - more details to come.

Pyth Network 🔮

48,219 görüntüleme • 2 yıl önce

I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) *if applicable* Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!

I stack Hermes agents with OpenClaw for financial research, and the results should be illegal. I track every politician, insider trader, and I know EXACTLY what moves they're making. If you can't beat them, join them. The exact playbook for printing money from insider trading (copy me): Requirements: • OpenClaw setup • Hermes Agent setup Step 1. Define your research thesis Before you send any prompts to either tool, you'll need to clarify exactly what you're trying to research. This could be: a specific industry, asset class, market sector, and so on. Examples: • Tracking smart money buys in the semiconductor industry • Tracking smart money buys in crypto • Tracking a specific politician and where they're bidding (like Nancy Pelosi) Step 2. Deploy Hermes agents to track the smart money (in parallel) Hermes is your data layer. Spin up 5 agents at the same time, each with one job: Agent 1: Track every politician's disclosed trades from the last 30 days (House and Senate stock disclosures) Agent 2: Pull insider transactions (Form 4 filings, CEO/CFO buys and sells) Agent 3: Scrape X sentiment from top 50 accounts on the topic Agent 4: Pull on-chain data (whale wallets, TVL, exchange flows) if applicable Agent 5: Monitor news, regulatory filings, and announcements from the last 30 days Each agent runs independently. You're not waiting for one to finish before the next starts. Step 3. Consolidate the output Once your Hermes agents finish, dump every output into a single document. (don't filter or summarize) - you want OpenClaw to see the raw data. Step 4. Feed it all into OpenClaw Open OpenClaw and paste the consolidated research file with this prompt: "Act as an elite macro analyst. Below is raw data gathered from multiple sources on [thesis], including politician disclosures and insider transactions. Synthesize the findings, identify the strongest signals and contradictions, flag any unusual smart-money activity, and give me a clear directional view with conviction levels. Flag any data gaps that need follow-up." OpenClaw will go deep, run its own reasoning chain, and produce a synthesized report. Done. Now you're literally tapping into the financial data they don't want you to see (it's all public - you just had to find it). Make sure to save this playbook so you don't lose it!

Miles Deutscher

19,955 görüntüleme • 3 ay önce

"npx t3 connect" This one's been a lot of work. You can now set up remote control for T3 Code on any internet-connected box with literally one command. All for free. T3 Connect is a minimal open source tunnel layer allowing you to control T3 Code instances remotely without needing Tailscale set up. I've been daily driving it for a month and it has changed how I code. Julius and I put a lot of effort into making setup as smooth as possible. Step 1: Install Claude Code, Codex, OpenCode, or Grok Build Step 2: Run "npx t3 connect" Step 3: Click link and sign in Step 4: You can now control that computer on T3 Code web, desktop or mobile (dropping very soon) We are currently providing this for free (s/o CloudFlare for bumping our tunnel limits). Every user can connect up to 3 devices. We don't want to charge for this, but if the bill gets unacceptable we may have to change course. If you hit limits or have issues, you can always fork, self host, or use Tailscale. T3 Connect may seem like a small ergonomic win. Tbh that's exactly what it is. Regardless, it's one I'm really proud of.

"npx t3 connect" This one's been a lot of work. You can now set up remote control for T3 Code on any internet-connected box with literally one command. All for free. T3 Connect is a minimal open source tunnel layer allowing you to control T3 Code instances remotely without needing Tailscale set up. I've been daily driving it for a month and it has changed how I code. Julius and I put a lot of effort into making setup as smooth as possible. Step 1: Install Claude Code, Codex, OpenCode, or Grok Build Step 2: Run "npx t3 connect" Step 3: Click link and sign in Step 4: You can now control that computer on T3 Code web, desktop or mobile (dropping very soon) We are currently providing this for free (s/o CloudFlare for bumping our tunnel limits). Every user can connect up to 3 devices. We don't want to charge for this, but if the bill gets unacceptable we may have to change course. If you hit limits or have issues, you can always fork, self host, or use Tailscale. T3 Connect may seem like a small ergonomic win. Tbh that's exactly what it is. Regardless, it's one I'm really proud of.

Theo - t3.gg

306,398 görüntüleme • 14 gün önce

We sacrifice our lives to the point where they’ve become cheaper than a piece of bread. We endure hunger and pain—all for the sake of our children and our wounded parents, who look at us with eyes full of love and sorrow, and ask in broken voices, “Is there any food?” I swear to you, I am so exhausted that I can no longer move my body. This humiliation we are subjected to is unworthy of human dignity. Enough is enough... Let food into Gaza. Make life possible. Flood Gaza with food—before hunger extinguishes what remains of our souls.

We sacrifice our lives to the point where they’ve become cheaper than a piece of bread. We endure hunger and pain—all for the sake of our children and our wounded parents, who look at us with eyes full of love and sorrow, and ask in broken voices, “Is there any food?” I swear to you, I am so exhausted that I can no longer move my body. This humiliation we are subjected to is unworthy of human dignity. Enough is enough... Let food into Gaza. Make life possible. Flood Gaza with food—before hunger extinguishes what remains of our souls.

Mahmoud Massri | مَحْمُود 🇵🇸

13,677 görüntüleme • 1 yıl önce

I added a new agent to the AI hedge fund. The Ben Graham agent. Uses Graham's investing principles: 1 • calculates net-net working capital 2 • computes Graham Number 3 • checks earnings stability 4 • analyzes financial strength 5 • demands margin of safety Ben Graham is the godfather of value investing. His most famous student is Warren Buffett. This is one of our most disciplined agents - it only says "buy" when a stock is really cheap. Here is how it works: 1. Net-net analysis: Checks if a stock is so cheap that its liquid assets alone are worth more than its market price. 2. Graham Number: A special formula that tells us if a stock price is a bargain based on earnings and book value. 3. Earnings Check: Makes sure the company has stable, growing profits over many years. 4. Financial Health: Looks for companies with low debt and strong cash positions. 5. Margin of Safety: Only buys when there's a big discount to protect against mistakes. What agent should we add next?

I added a new agent to the AI hedge fund. The Ben Graham agent. Uses Graham's investing principles: 1 • calculates net-net working capital 2 • computes Graham Number 3 • checks earnings stability 4 • analyzes financial strength 5 • demands margin of safety Ben Graham is the godfather of value investing. His most famous student is Warren Buffett. This is one of our most disciplined agents - it only says "buy" when a stock is really cheap. Here is how it works: 1. Net-net analysis: Checks if a stock is so cheap that its liquid assets alone are worth more than its market price. 2. Graham Number: A special formula that tells us if a stock price is a bargain based on earnings and book value. 3. Earnings Check: Makes sure the company has stable, growing profits over many years. 4. Financial Health: Looks for companies with low debt and strong cash positions. 5. Margin of Safety: Only buys when there's a big discount to protect against mistakes. What agent should we add next?

virat

66,284 görüntüleme • 1 yıl önce

Introducing - Spectre AI: The Monarch - Artificial Intelligence Searching Reimagined Introducing a sneak-peak of the next core feature in the Spectre AI Search Engine: The Monarch aka the AI ChatZone. The Monarch will serve as your AI agent, providing not only price information, technical and sentiment analysis, and project discovery, but also offering visual assistance through Spectre AI's integrated utilities within the search platform. Real-time blockchain data integration comes with the support of Google for Startups. The AI ChatZone's landing page will feature projects that users have added to their UI Watchlist, allowing for quick and seamless discussions about their favorite projects. Additionally, the platform will include hyperlinked external sources, enabling users to access a wealth of information and resources directly from within the ChatZone. In this showcase, we demonstrated how the system responds to inquiries about $Palm AI's (PaLM AI - $PALM) price performance. The user interface and user experience (UI/UX) are fully developed, and the frontend is complete. Our backend is now entering the beta testing phase. The MVP is next in line to be showcased. Get ready for a new journey in AI with Spectre AI. #ai #artificialintelligence #google #nvda #nvidia #tech #spectre $SPECT

Introducing - Spectre AI: The Monarch - Artificial Intelligence Searching Reimagined Introducing a sneak-peak of the next core feature in the Spectre AI Search Engine: The Monarch aka the AI ChatZone. The Monarch will serve as your AI agent, providing not only price information, technical and sentiment analysis, and project discovery, but also offering visual assistance through Spectre AI's integrated utilities within the search platform. Real-time blockchain data integration comes with the support of Google for Startups. The AI ChatZone's landing page will feature projects that users have added to their UI Watchlist, allowing for quick and seamless discussions about their favorite projects. Additionally, the platform will include hyperlinked external sources, enabling users to access a wealth of information and resources directly from within the ChatZone. In this showcase, we demonstrated how the system responds to inquiries about $Palm AI's (PaLM AI - $PALM) price performance. The user interface and user experience (UI/UX) are fully developed, and the frontend is complete. Our backend is now entering the beta testing phase. The MVP is next in line to be showcased. Get ready for a new journey in AI with Spectre AI. #ai #artificialintelligence #google #nvda #nvidia #tech #spectre $SPECT

SPECTRE AI

16,267 görüntüleme • 1 yıl önce

BIG NEWS. The Blockworks website has evolved: yesterday we were the home of news, today we are the home of onchain data. Head over to the site to see for yourself, but here's a little snippet of what you can expect: 1. Sector leaderboards (chains, DEXes, borrow lend, DATs, etc...) 2. Comprehensive data dashboards protocols 3. The ability to compare pricing and onchain data easily (coming soon) We're doing this because the industry still has a gigantic data problem. As investors get more sophisticated and fundamentals driven, basic high level facts are no longer sufficient. Investors need to be able to trust the data they are seeing and go much deeper than the surface level info that's available today. Additionally, because many data providers allow companies to essentially self report, you can't trust what you are seeing. This site is our contribution to fixing that problem and to ensuring clear, accurate data for investors. Blockworks is fully dedicated to becoming the most comprehensive data company in crypto in 2026. This is the first of many, many announcements like this this year, stay tuned.

BIG NEWS. The Blockworks website has evolved: yesterday we were the home of news, today we are the home of onchain data. Head over to the site to see for yourself, but here's a little snippet of what you can expect: 1. Sector leaderboards (chains, DEXes, borrow lend, DATs, etc...) 2. Comprehensive data dashboards protocols 3. The ability to compare pricing and onchain data easily (coming soon) We're doing this because the industry still has a gigantic data problem. As investors get more sophisticated and fundamentals driven, basic high level facts are no longer sufficient. Investors need to be able to trust the data they are seeing and go much deeper than the surface level info that's available today. Additionally, because many data providers allow companies to essentially self report, you can't trust what you are seeing. This site is our contribution to fixing that problem and to ensuring clear, accurate data for investors. Blockworks is fully dedicated to becoming the most comprehensive data company in crypto in 2026. This is the first of many, many announcements like this this year, stay tuned.

Mippo 🟪

91,851 görüntüleme • 7 ay önce

Polymarket just got owned by this trader He trades only Bitcoin and turned $1,000 into $600,000. Hard to believe? It’s true. This is not guessing prices He’s not friends with Trump or Elon He doesn’t work at BlackRock It all comes down to a simple, well-thought-out strategy coded in a script Profile: The strategy in short: The bot trades 15-minute BTC markets. When Bitcoin makes a sharp move on Binance, Polymarket prices lag by 30–90 seconds. The bot spots this momentum and enters positions before prices update, essentially betting on a move that’s already happening. Full strategy: 1. Bets are placed not on event outcomes, but on price inefficiencies. 2. Thousands of fast trades accumulate into massive total profit. 3. In calm markets, risk stays low, while strong trends allow profits to grow rapidly. 4. Most traders can’t react fast enough, but the bot turns market delays into money.

winkle.

174,062 görüntüleme • 6 ay önce

Introducing: Control Tower. After running agencies for over a decade, three problems were clear: 1. Task management tools aren't built for client work—the constant back-and-forth, the private and public feedback loops. 2. Financial tools don't understand service businesses. We need to know what's coming in, what clients owe, when they're paying, and how that stacks up against what we're paying our team. 3. We need easy tools to track and manage our team's capacity in real-time. But here's the thing—these tools need to work together. When you work with clients, your team's capacity dictates the projects you can take on. The projects you take on dictate your revenue. And the pace of those projects restarts the entire cycle. That's what Control Tower does. Today we're announcing the foundations: Tasks, financials, and capacity. Very soon we'll be introducing Chief—the AI layer that connects everything and works proactively to keep your team moving. We built this from the ground up to be agent-native. What we have today is good. It's not great yet. There's a lot of work to do, and a lot we haven't even shipped to our beta users. I'd love for you to check it out. Sign up for the beta—we're inviting people as quickly as we can and doing personal walkthroughs.

Introducing: Control Tower. After running agencies for over a decade, three problems were clear: 1. Task management tools aren't built for client work—the constant back-and-forth, the private and public feedback loops. 2. Financial tools don't understand service businesses. We need to know what's coming in, what clients owe, when they're paying, and how that stacks up against what we're paying our team. 3. We need easy tools to track and manage our team's capacity in real-time. But here's the thing—these tools need to work together. When you work with clients, your team's capacity dictates the projects you can take on. The projects you take on dictate your revenue. And the pace of those projects restarts the entire cycle. That's what Control Tower does. Today we're announcing the foundations: Tasks, financials, and capacity. Very soon we'll be introducing Chief—the AI layer that connects everything and works proactively to keep your team moving. We built this from the ground up to be agent-native. What we have today is good. It's not great yet. There's a lot of work to do, and a lot we haven't even shipped to our beta users. I'd love for you to check it out. Sign up for the beta—we're inviting people as quickly as we can and doing personal walkthroughs.

Hunter Hammonds

53,302 görüntüleme • 7 ay önce

MLP in PyTorch by hand ✍️ ~ 7 steps walkthrough below Goal: fill in every blank in the PyTorch code to build a multi-layer perceptron. 1. Given Let us start with a code template on the left and the network it is supposed to build on the right. Every blank in the code can be worked out from the picture. 2. Linear layer We count: 3 features in, 4 features out. So the weight matrix is 4 by 3. There is an extra column for the biases, which means bias = T. 3. ReLU Let us apply the activation. ReLU crosses out the negatives, so -1 becomes 0. 4. Linear layer The input size is 4, because that is what the previous layer put out. The output size is 2. A 2 by 4 weight matrix, and this time no extra column, so bias = F. 5. ReLU We cross out the negatives again. 6. Linear layer Two features in, five out. A 5 by 2 weight matrix, with a bias column, so bias = T. 7. Sigmoid Let us finish. Sigmoid squashes the raw scores (3, 0, -2, 5, -5) into probabilities between 0 and 1. You have just implemented a three-layer deep neural network by hand. ✍️ == Story == Three years ago I gave this exercise to my students, to connect the code to the math. They found it odd. Every other AI course they were taking lived inside a Jupyter notebook, and here I was handing out paper. Three years later, my colleagues are the ones rushing to move their materials to paper. The exercise has not changed. Paper still asks the one thing a notebook lets you skip: do you actually understand what the code is doing? If you can tell me why the weight matrix is 4 by 3, and why bias is F on the second layer, you understand nn.Linear better than someone who has been copy-pasting it for a year. 💾 Save this post! #AIbyHand #PyTorch #DeepLearning

MLP in PyTorch by hand ✍️ ~ 7 steps walkthrough below Goal: fill in every blank in the PyTorch code to build a multi-layer perceptron. 1. Given Let us start with a code template on the left and the network it is supposed to build on the right. Every blank in the code can be worked out from the picture. 2. Linear layer We count: 3 features in, 4 features out. So the weight matrix is 4 by 3. There is an extra column for the biases, which means bias = T. 3. ReLU Let us apply the activation. ReLU crosses out the negatives, so -1 becomes 0. 4. Linear layer The input size is 4, because that is what the previous layer put out. The output size is 2. A 2 by 4 weight matrix, and this time no extra column, so bias = F. 5. ReLU We cross out the negatives again. 6. Linear layer Two features in, five out. A 5 by 2 weight matrix, with a bias column, so bias = T. 7. Sigmoid Let us finish. Sigmoid squashes the raw scores (3, 0, -2, 5, -5) into probabilities between 0 and 1. You have just implemented a three-layer deep neural network by hand. ✍️ == Story == Three years ago I gave this exercise to my students, to connect the code to the math. They found it odd. Every other AI course they were taking lived inside a Jupyter notebook, and here I was handing out paper. Three years later, my colleagues are the ones rushing to move their materials to paper. The exercise has not changed. Paper still asks the one thing a notebook lets you skip: do you actually understand what the code is doing? If you can tell me why the weight matrix is 4 by 3, and why bias is F on the second layer, you understand nn.Linear better than someone who has been copy-pasting it for a year. 💾 Save this post! #AIbyHand #PyTorch #DeepLearning

Tom Yeh

13,318 görüntüleme • 28 gün önce

Bone Tide is officially out on the App Store and Google Play 🎉 The React Native Expo version runs on the exact same TypeGPU engine as the Web game, shared 1:1 between both platforms. Only the UI was ported to React This was made possible by some amazing work across the React Native open source ecosystem. Huge thanks to William Candillon for react-native-webgpu and for always helping me resolve any issues incredibly quickly :D I think it’s a pretty cool showcase of what can be built with React Native nowadays. More details about the libraries used in the 🧵 featuring what might be the ultimate Software Mansion stack iOS: Android: Web:

Bone Tide is officially out on the App Store and Google Play 🎉 The React Native Expo version runs on the exact same TypeGPU engine as the Web game, shared 1:1 between both platforms. Only the UI was ported to React This was made possible by some amazing work across the React Native open source ecosystem. Huge thanks to William Candillon for react-native-webgpu and for always helping me resolve any issues incredibly quickly :D I think it’s a pretty cool showcase of what can be built with React Native nowadays. More details about the libraries used in the 🧵 featuring what might be the ultimate Software Mansion stack iOS: Android: Web:

Konrad Reczko

54,476 görüntüleme • 10 gün önce

Dear Tarun Chitra 1. We are the original creators of DeSci back in 2016. What DeSci has become today is largely unrelated with its original model of producing rigorous peer-reviewed scientific studies published in reputable medical journals. The model we introduced. We are tirelessly fighting against pseudoscience, and we are showing the world that people can understand the difference between legit science and pseudoscience with the success of $INNBCV. Yes, meritocracy is possible in crypto. Even against all odds. 2. We are the only project in the entire crypto space that ever funded, performed, and published highly innovative HIV cure research ( We are the project that produced the first peer-reviewed study on blockchain-based biomedical data storage in the world’s most reputable scientific network, Springer Nature ( $INNBCV is not for the privileged few; it is for the many. We resisted all the pressure from those who wanted us to provide big allocations to VIPs of other DAOs “because it is good for the marketing” and put our users first, ensuring a fair launch, a launch for the people, and they turned $70k into $2,000,000. $INNBCV shows that you can have a sustainable model, provided you are backed by actual science. And thanks to the amazing guys at daos.fun baoskee and Solana community. Behind our project there is the sweat and blood of years of work to produce publications in the most reputable medical journals. Just to put things into perspective, it took us 3 years to publish our latest work in Springer Nature. 3. Unlike many other projects, we had no ICO/VCs, meaning we had to prove ourselves every single day because we are only supported by our community. If we deliver products, we survive; it is either publish or perish for us, and that’s why we have such a close connection to our community. $INNBCV is a struggler, $INNBCV is a survivor, $INNBCV is not for the privilege of the few but for the people. Our community makes it possible by supporting us. You guys are the real heroes.

Dear Tarun Chitra 1. We are the original creators of DeSci back in 2016. What DeSci has become today is largely unrelated with its original model of producing rigorous peer-reviewed scientific studies published in reputable medical journals. The model we introduced. We are tirelessly fighting against pseudoscience, and we are showing the world that people can understand the difference between legit science and pseudoscience with the success of $INNBCV. Yes, meritocracy is possible in crypto. Even against all odds. 2. We are the only project in the entire crypto space that ever funded, performed, and published highly innovative HIV cure research ( We are the project that produced the first peer-reviewed study on blockchain-based biomedical data storage in the world’s most reputable scientific network, Springer Nature ( $INNBCV is not for the privileged few; it is for the many. We resisted all the pressure from those who wanted us to provide big allocations to VIPs of other DAOs “because it is good for the marketing” and put our users first, ensuring a fair launch, a launch for the people, and they turned $70k into $2,000,000. $INNBCV shows that you can have a sustainable model, provided you are backed by actual science. And thanks to the amazing guys at daos.fun baoskee and Solana community. Behind our project there is the sweat and blood of years of work to produce publications in the most reputable medical journals. Just to put things into perspective, it took us 3 years to publish our latest work in Springer Nature. 3. Unlike many other projects, we had no ICO/VCs, meaning we had to prove ourselves every single day because we are only supported by our community. If we deliver products, we survive; it is either publish or perish for us, and that’s why we have such a close connection to our community. $INNBCV is a struggler, $INNBCV is a survivor, $INNBCV is not for the privilege of the few but for the people. Our community makes it possible by supporting us. You guys are the real heroes.

InnovativeBioresearch🇮🇹

10,867 görüntüleme • 1 yıl önce

All you need to know about B3TR 👇 1/ B3TR is the heartbeat of We turn better actions into digital assets with real-world worth. Simple. 2/ Daily actions → B3TR rewards Integrate VeBetter into your everyday routine: drinking coffee, doing groceries, commuting to work... 3/ Multiply B3TR = participate in the governance or delegate your tokens to apps in the ecosystem 4/ Why it matters: Social impact: Think it's "just you"? → 1 cleanup = 5kg less ocean plastic → 100 cleanups = 500kg → 10k cleanups = 50 tons Verified actions, proven impact. Ready to make your actions count? → 🌍

All you need to know about B3TR 👇 1/ B3TR is the heartbeat of We turn better actions into digital assets with real-world worth. Simple. 2/ Daily actions → B3TR rewards Integrate VeBetter into your everyday routine: drinking coffee, doing groceries, commuting to work... 3/ Multiply B3TR = participate in the governance or delegate your tokens to apps in the ecosystem 4/ Why it matters: Social impact: Think it's "just you"? → 1 cleanup = 5kg less ocean plastic → 100 cleanups = 500kg → 10k cleanups = 50 tons Verified actions, proven impact. Ready to make your actions count? → 🌍

VeChain

138,371 görüntüleme • 1 yıl önce

Today—we evolve BRĒZ ❤️‍🔥 Our mission is to reduce human suffering and maximize human potential through a better beverage. We further that now, with two major changes: 1. Prices have dropped—permanently. We often hear how much our customers love BRĒZ but the price makes it just a bit too out of reach - with the support of our community we’ve reached some scale, and with it we’ve unlocked savings that we’re officially passing on to our customers. 2. Custom bundles are live. You can now build exactly what you want, how you want it, and save even more in the process. The goal with these changes is simple, serve our customers by making BRĒZ more accessible, more shareable, and more personalized. Thank you all for your support throughout this journey — all changes live now on 🤘

Today—we evolve BRĒZ ❤️‍🔥 Our mission is to reduce human suffering and maximize human potential through a better beverage. We further that now, with two major changes: 1. Prices have dropped—permanently. We often hear how much our customers love BRĒZ but the price makes it just a bit too out of reach - with the support of our community we’ve reached some scale, and with it we’ve unlocked savings that we’re officially passing on to our customers. 2. Custom bundles are live. You can now build exactly what you want, how you want it, and save even more in the process. The goal with these changes is simple, serve our customers by making BRĒZ more accessible, more shareable, and more personalized. Thank you all for your support throughout this journey — all changes live now on 🤘

Aaron Nosbisch

35,841 görüntüleme • 1 yıl önce