Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

New drop: Options Market Depth V2 🔥 • Bookmap-style depth + trade flow • Stack charts horizontally, vertically, or grid. • Built on TradingView lightweight-charts Open source & free → code in next post. #Schwab

2187Nick's profile picture

Nick

1,601 subscribers

11,465 Aufrufe • vor 1 Jahr •via X (Twitter)

#Schwab
LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Introducing Borsa - Public Beta Borsa is a frontend for Hyperliquid that gives you every advantage when trading crypto, stocks, forex, and commodities. What's inside: • TradingView Advanced Charts with custom indicators • Build and deploy automated strategies in a few steps • TWAP execution, private execution, Auto-TP, and Loop Mode • On-chart Maps for liquidations, SL/TP, and order book depth • Direct HyperEVM deposits via HyBridge and LayerZero, built into the UI • Fiat on-ramps Beta is open →
0:17

Introducing Borsa - Public Beta Borsa is a frontend for Hyperliquid that gives you every advantage when trading crypto, stocks, forex, and commodities. What's inside: • TradingView Advanced Charts with custom indicators • Build and deploy automated strategies in a few steps • TWAP execution, private execution, Auto-TP, and Loop Mode • On-chart Maps for liquidations, SL/TP, and order book depth • Direct HyperEVM deposits via HyBridge and LayerZero, built into the UI • Fiat on-ramps Beta is open →

Borsa

13,340 Aufrufe • vor 5 Monaten

New Llama.cpp UI is a blessing for the local AI world 🌎 - Blazing fast, beautiful, and private (ofc) - Use 150,000+ GGUF models in a super slick UI - Drop in PDFs, images, or text documents - Branch and edit conversations anytime - Parallel chats and image processing - Math and code rendering - Constrained generation with JSON schema supported Easy setup + open-source + community-built 🔥
0:14

New Llama.cpp UI is a blessing for the local AI world 🌎 - Blazing fast, beautiful, and private (ofc) - Use 150,000+ GGUF models in a super slick UI - Drop in PDFs, images, or text documents - Branch and edit conversations anytime - Parallel chats and image processing - Math and code rendering - Constrained generation with JSON schema supported Easy setup + open-source + community-built 🔥

Victor M

161,381 Aufrufe • vor 10 Monaten

🔥 Phoenix is officially live on Solaris AI Flow. You can now trade Phoenix perps inside a Solaris AI workflow. No code. Drop a node onto the canvas, pick an operation, and wire it to anything: AI signals, price feeds, schedules, alerts. The full order-book DEX from Ellipsis Labs, now programmable. Built so you can trade with confidence: ✦ Paper mode is on by default. Every order is checked and simulated against the live order book, real depth and real slippage, but nothing is signed or broadcast. ✦ Paper behaves exactly like Live. If an order would be rejected on-chain, it is rejected in simulation too. No false fills, no surprises. ✦ Going Live is one switch, and it asks for confirmation before any real funds move. Build it. Test it. Trade it. A full perps strategy, proven on paper before a single dollar moves. 30 operations in one node: ✦ Read live markets, order book depth, candles, and funding rates ✦ Track your positions, collateral, and PnL, realized and unrealized ✦ Place limit, market, and stop-loss orders, plus conditional triggers ✦ Cancel orders, manage margin, and move collateral, all from the workflow No scripts. No backend. No terminal to babysit. Just a workflow that trades. You can try it for free. Demo + Link down below 👇
0:13

🔥 Phoenix is officially live on Solaris AI Flow. You can now trade Phoenix perps inside a Solaris AI workflow. No code. Drop a node onto the canvas, pick an operation, and wire it to anything: AI signals, price feeds, schedules, alerts. The full order-book DEX from Ellipsis Labs, now programmable. Built so you can trade with confidence: ✦ Paper mode is on by default. Every order is checked and simulated against the live order book, real depth and real slippage, but nothing is signed or broadcast. ✦ Paper behaves exactly like Live. If an order would be rejected on-chain, it is rejected in simulation too. No false fills, no surprises. ✦ Going Live is one switch, and it asks for confirmation before any real funds move. Build it. Test it. Trade it. A full perps strategy, proven on paper before a single dollar moves. 30 operations in one node: ✦ Read live markets, order book depth, candles, and funding rates ✦ Track your positions, collateral, and PnL, realized and unrealized ✦ Place limit, market, and stop-loss orders, plus conditional triggers ✦ Cancel orders, manage margin, and move collateral, all from the workflow No scripts. No backend. No terminal to babysit. Just a workflow that trades. You can try it for free. Demo + Link down below 👇

Solaris AI

10,075 Aufrufe • vor 4 Monaten

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:
0:13

Goldman pays $27,000 per seat for a Bloomberg Terminal. I found 10 open source tools on GitHub that replicate almost all of it for free. Retail investors have never had this much firepower. Bookmark & Repost this one: 1. OpenBB Stocks, options, crypto, forex, and macro data in one research platform. Build your own dashboards, reports, and AI analysts on top of it. The OG of open source finance. 50K+ stars. 2. FinceptTerminal A full financial terminal: global market data, advanced charts, economic indicators, portfolio analysis, and AI research tools. Windows, Mac, and Linux. 3. Neuberg 516 drag-and-drop panels covering equities, bonds, commodities, currencies, credit, and macro. Even connects to Alpaca, Hyperliquid, and Polymarket so you can trade from the terminal itself. 4. Qlib (by Microsoft) An open source AI platform for quant investing. Train ML models, discover signals, backtest strategies, and build portfolios with the same workflow a quant desk uses. 5. FinRobot An AI equity research team on your laptop. Its agents read financial statements, build DCF valuations, debate bull vs bear cases, and generate full investment reports. 6. EdgarTools Turns the SEC database into something humans can actually use. Pull 10-Ks, 10-Qs, insider trades, executive pay, and hedge fund holdings going back to 1994. 7. LEAN (by QuantConnect) An institutional-grade engine for trading algorithms. Write strategies in Python or C#, backtest on decades of data, then connect to real brokers and go live. 8. FinanceToolkit 200+ financial ratios, valuation models, risk metrics, and economic indicators. Works on stocks, ETFs, options, currencies, commodities, and crypto from Python. 9. Ghostfolio A private wealth dashboard for stocks, ETFs, and crypto across all your accounts. Performance, allocation, diversification. Your data never leaves your machine. 10. OpenTerminalUI A self-hosted trading terminal: pro charts, screeners, options chains with live Greeks, portfolio optimization, backtesting, and an AI research agent. Runs entirely on your own hardware. Bloomberg spent 40 years building a $27,000/year moat. Open source is draining it one repo at a time. The software is free. Some live data feeds need your own API keys, but the barrier is now effort, not money. If you want the exact workflows we use to stack these tools with AI, join the AIBullss Discord:

AI Bulls

20,605 Aufrufe • vor 1 Monat

19 year old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. [ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 Zakir Hossain 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌] Here's how it works👇 The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: — Claude Code handles the trading logic — Binance API feeds real-time BTC data — iPad displays multi-market monitoring — Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment " Setup " 2️⃣ Like and Repost 3️⃣ Follow Zakir Hossain (so I can send it via DM) I'll DM you the complete setup.
0:17

19 year old Japanese student built a trading bot with Claude Code in 2 days. Used his iPad as a second monitor. First night: $6,732 profit. Starting capital: $68. Total profit so far: $750,000. [ 𝐍𝐨𝐭𝐞: 𝐅𝐨𝐥𝐥𝐨𝐰 𝐌𝐞 Zakir Hossain 𝐅𝐨𝐫 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐮𝐭𝐨 𝐃𝐌] Here's how it works👇 The bot scans over 50 markets simultaneously. Syncs live BTC data from Binance every second. Spots price errors before humans even notice. The edge is pure speed + pattern recognition. While traders stare at charts trying to predict the next move, his bot is already executing on mispricing across dozens of markets. No guessing. No emotions. No hesitation. Just Claude Code logic finding gaps that close in seconds. He built the entire system in 48 hours: — Claude Code handles the trading logic — Binance API feeds real-time BTC data — iPad displays multi-market monitoring — Executes trades when arbitrage windows open The system runs 24/7. Every price dislocation = profit opportunity. Most people are still trading manually, refreshing charts, second-guessing entries. Meanwhile this 19 year old engineering student turned $68 into $750K by letting Claude Code do what humans can't: process 50 markets instantly and execute without fear. Why are people still trading manually? I'm giving away the exact Claude Code setup for free. 24 hours only. To get it: 1️⃣ Comment " Setup " 2️⃣ Like and Repost 3️⃣ Follow Zakir Hossain (so I can send it via DM) I'll DM you the complete setup.

Zakir Hossain

696,938 Aufrufe • vor 3 Tagen

🚀 Update Next Scene V2 only 10 days after last version, now live on Hugging Face 👉 🎬 A LoRA made for Qwen Image Edit 2509 that lets you create seamless cinematic “next shots” — keeping the same characters, lighting, and mood. I trained this new version on thousands of paired cinematic shots to make scene transitions smoother, more emotional, and real. 🧠 What’s new: • Much stronger consistency across shots • Better lighting and character preservation • Smoother transitions and framing logic • No more black bar artifacts Built for storytellers using ComfyUI or any diffusers pipeline. Just use “Next Scene:” and describe what happens next , the model keeps everything coherent. 🧩 Try it directly in ComfyUI, or check the thread to launch it on fal . Open-source, no restrictions, made for filmmakers, animators, and dreamers. ComfyUI #AIcinema #LoRA #Flux #Qwen #ComfyUI #AIart #GenerativeVideo you can test on comfyui or to try on you can go here : and use my lora link : start your prompt with "Next Scene:" and lets go !!
0:17

🚀 Update Next Scene V2 only 10 days after last version, now live on Hugging Face 👉 🎬 A LoRA made for Qwen Image Edit 2509 that lets you create seamless cinematic “next shots” — keeping the same characters, lighting, and mood. I trained this new version on thousands of paired cinematic shots to make scene transitions smoother, more emotional, and real. 🧠 What’s new: • Much stronger consistency across shots • Better lighting and character preservation • Smoother transitions and framing logic • No more black bar artifacts Built for storytellers using ComfyUI or any diffusers pipeline. Just use “Next Scene:” and describe what happens next , the model keeps everything coherent. 🧩 Try it directly in ComfyUI, or check the thread to launch it on fal . Open-source, no restrictions, made for filmmakers, animators, and dreamers. ComfyUI #AIcinema #LoRA #Flux #Qwen #ComfyUI #AIart #GenerativeVideo you can test on comfyui or to try on you can go here : and use my lora link : start your prompt with "Next Scene:" and lets go !!

Lovis Odin

43,366 Aufrufe • vor 11 Monaten

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)
0:11

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

Mike Futia

38,959 Aufrufe • vor 5 Monaten

Was waiting in line at the post office. Guy next to me saw my screen. "What are you tracking?" "Markets." "So like stocks?" "No. Open-source. Anyone can see how it works." He laughed. "So you're just staring at code?" I didn't argue. I turned the screen. One wallet returned 74% in 7 weeks. Another moved \$5.8M in volume. One more took $400 to $4,200. He stopped scrolling his phone. "That's... real?" Exactly. Then I showed him the repos. First: 86M+ trades. Every position ever taken on Polymarket. Free download. Second: Market making bot. Both sides of the book. Runs through Google Sheets. Third: ML + heuristics. Flagged that $400 → $4,200 before it moved. He pulled out his phone. Asked for the links. His exact words: "My brother has been looking for this." Profile: Most people think you need a finance degree or a fund. You don't. You just need to read the code and start.
0:16

Was waiting in line at the post office. Guy next to me saw my screen. "What are you tracking?" "Markets." "So like stocks?" "No. Open-source. Anyone can see how it works." He laughed. "So you're just staring at code?" I didn't argue. I turned the screen. One wallet returned 74% in 7 weeks. Another moved \$5.8M in volume. One more took $400 to $4,200. He stopped scrolling his phone. "That's... real?" Exactly. Then I showed him the repos. First: 86M+ trades. Every position ever taken on Polymarket. Free download. Second: Market making bot. Both sides of the book. Runs through Google Sheets. Third: ML + heuristics. Flagged that $400 → $4,200 before it moved. He pulled out his phone. Asked for the links. His exact words: "My brother has been looking for this." Profile: Most people think you need a finance degree or a fund. You don't. You just need to read the code and start.

Lunar

13,003 Aufrufe • vor 3 Monaten

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.
0:14

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 Aufrufe • vor 7 Monaten

You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI
0:14

You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI

Jonathan Stephens

17,712 Aufrufe • vor 8 Monaten

Introducing the Buy-Side Equity Research SOP on xBubble. State a ticker. Get a research memo built to the standard of an internal buy-side note. Thesis first, every number sourced to the original filing. One request in. A full equity deep dive out. What comes back isn't a news recap. It's the structure a real analyst writes: ✅ Where the company sits in its value chain ✅ Competitive map, edge, and key risks ✅ Filing-level financials + management read ✅ SOTP valuation, Bull / Base / Bear per share ✅ The catalysts to watch over the next 3 to 6 months Every claim is traceable. Each data point carries its original source and access date: SEC filings (10-K, 10-Q, 8-K), official IR decks, earnings call transcripts. You can check the work. That's the point. Here's what makes this more than one good report. The SOP isn't fixed. Bubble Engine builds it, tests it, and keeps generating stronger ones. Need a version tuned to a sector, a market, or your own thesis style? It generates that too. You don't get a template. You get a research engine. Buy-side research used to take 15 to 20 hours per company. Now it's one request. The edge was never about access. It was about depth. xBubble puts the depth on your side. Work mode → Buy-Side Equity Research SOP.
0:16

Introducing the Buy-Side Equity Research SOP on xBubble. State a ticker. Get a research memo built to the standard of an internal buy-side note. Thesis first, every number sourced to the original filing. One request in. A full equity deep dive out. What comes back isn't a news recap. It's the structure a real analyst writes: ✅ Where the company sits in its value chain ✅ Competitive map, edge, and key risks ✅ Filing-level financials + management read ✅ SOTP valuation, Bull / Base / Bear per share ✅ The catalysts to watch over the next 3 to 6 months Every claim is traceable. Each data point carries its original source and access date: SEC filings (10-K, 10-Q, 8-K), official IR decks, earnings call transcripts. You can check the work. That's the point. Here's what makes this more than one good report. The SOP isn't fixed. Bubble Engine builds it, tests it, and keeps generating stronger ones. Need a version tuned to a sector, a market, or your own thesis style? It generates that too. You don't get a template. You get a research engine. Buy-side research used to take 15 to 20 hours per company. Now it's one request. The edge was never about access. It was about depth. xBubble puts the depth on your side. Work mode → Buy-Side Equity Research SOP.

DAPPOS

427,279 Aufrufe • vor 3 Monaten

this might be the E2B killer for AI agent sandboxes. forkd is an open-source microVM sandbox runtime built on Firecracker, made for AI agent fan-out, code interpreters, eval harnesses, anything that spins up a lot of short-lived sandboxes. before: every sandbox cold-boots its own VM and re-imports the whole runtime from scratch, numpy, torch, JIT compilation, model weights, all of it. now: forkd boots one parent VM once, warms it with your runtime already imported, then forks children from that snapshot using copy-on-write memory. the repo's own benchmark: spawning 100 sandboxes takes 101ms with forkd, versus 759ms for a raw Firecracker cold-boot, and well over a minute for Docker or gVisor. the SDK is a literal drop-in for E2B's Python client, so if you're already running code-interpreter agents on it, swapping the import line gets you a self-hosted runtime with the same isolation model at a fraction of the per-sandbox cost. pre-built recipes ship for e2b-style code interpreters, Jupyter kernels, SWE-bench coding agents, and Playwright browser fan-out
0:14

this might be the E2B killer for AI agent sandboxes. forkd is an open-source microVM sandbox runtime built on Firecracker, made for AI agent fan-out, code interpreters, eval harnesses, anything that spins up a lot of short-lived sandboxes. before: every sandbox cold-boots its own VM and re-imports the whole runtime from scratch, numpy, torch, JIT compilation, model weights, all of it. now: forkd boots one parent VM once, warms it with your runtime already imported, then forks children from that snapshot using copy-on-write memory. the repo's own benchmark: spawning 100 sandboxes takes 101ms with forkd, versus 759ms for a raw Firecracker cold-boot, and well over a minute for Docker or gVisor. the SDK is a literal drop-in for E2B's Python client, so if you're already running code-interpreter agents on it, swapping the import line gets you a self-hosted runtime with the same isolation model at a fraction of the per-sandbox cost. pre-built recipes ship for e2b-style code interpreters, Jupyter kernels, SWE-bench coding agents, and Playwright browser fan-out

Oliver Prompts

20,005 Aufrufe • vor 1 Monat

🔥 MASS REPORT - Saturday🔥 17 minutes to our date with 9star Youtube Channel [21:00 BKK] I hope you’re all hanging in there. It’s Saturday, our day, the next manipulations by Siripun detected. As I wrote in my previous post, we’re focusing on views-there’s no option for this snake to get anything for free, only through hard work and she giving none, Please don’t engage with that post about live, or about GFD. Don’t drive engagement where it’s lacking, and we don’t want to spread something that tarnishes other people’s image. so as always you know what to do 🔥I invite you to join our activities.🔥 💥 MASS REPORT 💥 Report drop here: new templates below NINESTAR MANIPULATES TRUTH #StandAgainstNinestar #BoycottNineStarSeries #FayeYoko #ฝ้ายโยโกะ
0:19

🔥 MASS REPORT - Saturday🔥 17 minutes to our date with 9star Youtube Channel [21:00 BKK] I hope you’re all hanging in there. It’s Saturday, our day, the next manipulations by Siripun detected. As I wrote in my previous post, we’re focusing on views-there’s no option for this snake to get anything for free, only through hard work and she giving none, Please don’t engage with that post about live, or about GFD. Don’t drive engagement where it’s lacking, and we don’t want to spread something that tarnishes other people’s image. so as always you know what to do 🔥I invite you to join our activities.🔥 💥 MASS REPORT 💥 Report drop here: new templates below NINESTAR MANIPULATES TRUTH #StandAgainstNinestar #BoycottNineStarSeries #FayeYoko #ฝ้ายโยโกะ

Magda/Mag/Magsss ||✊|| FY🤍💛

13,901 Aufrufe • vor 8 Monaten

My ex texted me out of nowhere. Asked what I've been up to. "Building trading systems." She laughed. "Like crypto?" "No. Open-source. Anyone can see how it works." She didn't believe me. She never did. So I sent her a screenshot. One wallet returned 76% in 2 months. Another moved $6.1M in volume. One more turned $900 into $7,400. She went quiet. "That's... from code?" Exactly. Then I sent her the repos. First: 86M+ trades. Every position ever taken on Polymarket. Free. Second: Market making bot. Both sides of the book. Google Sheets execution layer. Third: ML + heuristics. Flagged that $900 → $7,400 before anyone noticed. She replied the next day: "My brother wants to start." Profile: Most people think you need a finance degree or a fund. You don't. You just need to read the code and start.
0:16

My ex texted me out of nowhere. Asked what I've been up to. "Building trading systems." She laughed. "Like crypto?" "No. Open-source. Anyone can see how it works." She didn't believe me. She never did. So I sent her a screenshot. One wallet returned 76% in 2 months. Another moved $6.1M in volume. One more turned $900 into $7,400. She went quiet. "That's... from code?" Exactly. Then I sent her the repos. First: 86M+ trades. Every position ever taken on Polymarket. Free. Second: Market making bot. Both sides of the book. Google Sheets execution layer. Third: ML + heuristics. Flagged that $900 → $7,400 before anyone noticed. She replied the next day: "My brother wants to start." Profile: Most people think you need a finance degree or a fund. You don't. You just need to read the code and start.

Lunar

14,814 Aufrufe • vor 3 Monaten

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)
0:14

Claude Code + Google Stitch 2.0 is f*cking cracked 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)

Mike Futia

126,527 Aufrufe • vor 6 Monaten

Claude Code can now watch & analyze ANY video 🤯 I built a skill that gives Claude the ability to watch any video file you drop in — UGC ads, competitor Meta ads, organic TikToks, screen recordings, anything. All inside Claude Code. Perfect for DTC brands and agencies who study competitor creative every week to figure out what's working and what to test next. Here's the problem: If you're studying competitor ads on Meta or hooks on TikTok, you're scrubbing through videos manually, pausing to write down hooks, screenshotting on-screen text, and trying to remember what made the ad land by the time you've watched 10 of them. This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: - Native video understanding via Gemini (not just transcripts) - Structured analysis — hook, angle, audience, pain point, CTA - Verbatim on-screen text and dialogue with timestamps - Hook variations generated directly from competitor ads - About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this and I'm giving away the skill for free. Want the skill? > Comment "CLAUDE" + > Like this post And I'll send it over (must be following so I can DM)
0:19

Claude Code can now watch & analyze ANY video 🤯 I built a skill that gives Claude the ability to watch any video file you drop in — UGC ads, competitor Meta ads, organic TikToks, screen recordings, anything. All inside Claude Code. Perfect for DTC brands and agencies who study competitor creative every week to figure out what's working and what to test next. Here's the problem: If you're studying competitor ads on Meta or hooks on TikTok, you're scrubbing through videos manually, pausing to write down hooks, screenshotting on-screen text, and trying to remember what made the ad land by the time you've watched 10 of them. This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: - Native video understanding via Gemini (not just transcripts) - Structured analysis — hook, angle, audience, pain point, CTA - Verbatim on-screen text and dialogue with timestamps - Hook variations generated directly from competitor ads - About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this and I'm giving away the skill for free. Want the skill? > Comment "CLAUDE" + > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

36,041 Aufrufe • vor 4 Monaten

🚨 WARNING: $SPCX IS SETTING UP ITS FINAL FLUSH Then the real trade begins $SPCX trades around $134 - down over 40% from its post-IPO high near $228 Everyone's calling the bottom They're one flush early Big IPOs don't bottom on the first crash. They bottom on one nobody believes in anymore Look at Palantir in 2020 Same hype. Same retail FOMO. Same dump off top It bled roughly 85% from its peak - then did over 10x Put the charts side by side. They're almost identical Here's the script 99% of major IPOs follow: ➮ Hype → retail piles in → post-IPO pop ➮ Whales distribute → dump below IPO price ➮ Downtrend → 60-80% off the top → cycle bottom ➮ Accumulation → months of boring chop while whales load ➮ Breakout → retail FOMOs back in → 150-200%+ rally $SPCX is mid-step 3 right now Which means the roadmap looks like this: $134 → $110 → $71 That ~$70 zone is the bottom Then 2-3 months of sideways chop. No headlines. No hype. Just quiet accumulation while retail gets bored and leaves Then: $108 → $222 → $305+ From the bottom, that's a 300%+ move Here's the part nobody tells you: The last dump will feel like the thesis died That's exactly how bottoms are built. On capitulation, not confidence Most people will sell the $70s and buy back $200s You're either loading in chop - or chasing breakout. There's no third option Reminder: I called 2025 $BTC ATH and drop to $60k. This roadmap is next call Turn notifs on - I'll post it here moment accumulation zone confirms
0:17

🚨 WARNING: $SPCX IS SETTING UP ITS FINAL FLUSH Then the real trade begins $SPCX trades around $134 - down over 40% from its post-IPO high near $228 Everyone's calling the bottom They're one flush early Big IPOs don't bottom on the first crash. They bottom on one nobody believes in anymore Look at Palantir in 2020 Same hype. Same retail FOMO. Same dump off top It bled roughly 85% from its peak - then did over 10x Put the charts side by side. They're almost identical Here's the script 99% of major IPOs follow: ➮ Hype → retail piles in → post-IPO pop ➮ Whales distribute → dump below IPO price ➮ Downtrend → 60-80% off the top → cycle bottom ➮ Accumulation → months of boring chop while whales load ➮ Breakout → retail FOMOs back in → 150-200%+ rally $SPCX is mid-step 3 right now Which means the roadmap looks like this: $134 → $110 → $71 That ~$70 zone is the bottom Then 2-3 months of sideways chop. No headlines. No hype. Just quiet accumulation while retail gets bored and leaves Then: $108 → $222 → $305+ From the bottom, that's a 300%+ move Here's the part nobody tells you: The last dump will feel like the thesis died That's exactly how bottoms are built. On capitulation, not confidence Most people will sell the $70s and buy back $200s You're either loading in chop - or chasing breakout. There's no third option Reminder: I called 2025 $BTC ATH and drop to $60k. This roadmap is next call Turn notifs on - I'll post it here moment accumulation zone confirms

Aralez 🐕

122,980 Aufrufe • vor 1 Monat

My girlfriend came home Friday at 1am. I was on the couch. Laptop open. Three terminal panels scrolling. "You're still up?" "Just checking the bot." She dropped her bag. "What bot?" "The trading one. Open-source. Anyone can audit the code." She stared at me. "So you code for free?" "No. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $640 into $11,800 in 31 days. Another flipped 287 trades with 76% winrate. One more pulled $3.4M in volume in two weeks. She sat down next to me. Slowly. "That's... from a script?" Exactly. Then I showed her the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. She went quiet for a long time. Then: "Why are you only telling me this now?" "We've been dating eleven months." "Exactly. Eleven months." I didn't have a good answer. She closed my laptop lid. Looked at me. "You're going to show me everything. Tomorrow morning. From the top. I'm not asking." Trade with him: Girlfriends don't ask about the money. They ask why you waited eleven months. Then they take over the conversation.
0:17

My girlfriend came home Friday at 1am. I was on the couch. Laptop open. Three terminal panels scrolling. "You're still up?" "Just checking the bot." She dropped her bag. "What bot?" "The trading one. Open-source. Anyone can audit the code." She stared at me. "So you code for free?" "No. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $640 into $11,800 in 31 days. Another flipped 287 trades with 76% winrate. One more pulled $3.4M in volume in two weeks. She sat down next to me. Slowly. "That's... from a script?" Exactly. Then I showed her the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. She went quiet for a long time. Then: "Why are you only telling me this now?" "We've been dating eleven months." "Exactly. Eleven months." I didn't have a good answer. She closed my laptop lid. Looked at me. "You're going to show me everything. Tomorrow morning. From the top. I'm not asking." Trade with him: Girlfriends don't ask about the money. They ask why you waited eleven months. Then they take over the conversation.

Lunar

104,316 Aufrufe • vor 3 Monaten