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You don’t need more indicators. Companion turns your terminal into an execution engine. Ask. Build. Execute. Here’s what it can do: 📊 Analyze live market data 📍 Identify key levels & zones 📈 Read order flow, CVD, OI, liquidity 🧩 Write custom indicators ⚙️ Modify and improve existing scripts... show more

MMT

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19,106 次观看 • 6 个月前 •via X (Twitter)

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Day 10 of why you need to use Jupiter Mobile: THE MOST POWERFUL MOBILE TRADING EXPERIENCE Throw your desktop away, Token Pro now gives all the trenching tools natively on mobile. No more switching apps or opening tabs in your browser. Everything you need, deep token data, your position, and instant execution is now in one place: - Real-time deep terminal data for every token: momentum, holder trends ,volume shifts, candlestick charts with smooth interval switching - Validated token data and insights powered by VRFD, our trusted token data layer - Live transaction feed: real-time buys and sells so you can see flow as it happens - Your detailed token positions: real live PnL, average entry, and every buy and sell plotted on the chart - Your unified trading history with a real-time view of every tx you’ve ever made - Quick actions built right into the token page so you can execute instantly, powered by Ultra V3 the fastest execution engine ever built And with AlphaScan, Watchlist, and Pro Filters you can discover early opportunities across the market, filter them with precision, and track all your favorite tokens. Discover, analyze & execute natively on mobile. Trench like a pro. Just Use Jupiter (Mobile).

Day 10 of why you need to use Jupiter Mobile: THE MOST POWERFUL MOBILE TRADING EXPERIENCE Throw your desktop away, Token Pro now gives all the trenching tools natively on mobile. No more switching apps or opening tabs in your browser. Everything you need, deep token data, your position, and instant execution is now in one place: - Real-time deep terminal data for every token: momentum, holder trends ,volume shifts, candlestick charts with smooth interval switching - Validated token data and insights powered by VRFD, our trusted token data layer - Live transaction feed: real-time buys and sells so you can see flow as it happens - Your detailed token positions: real live PnL, average entry, and every buy and sell plotted on the chart - Your unified trading history with a real-time view of every tx you’ve ever made - Quick actions built right into the token page so you can execute instantly, powered by Ultra V3 the fastest execution engine ever built And with AlphaScan, Watchlist, and Pro Filters you can discover early opportunities across the market, filter them with precision, and track all your favorite tokens. Discover, analyze & execute natively on mobile. Trench like a pro. Just Use Jupiter (Mobile).

Jupiter

180,740 次观看 • 8 个月前

We just launched Quant IQ 🧠 an AI assistant built directly into Quant Data. It sees what you see 👀. Ask "What does the 0DTE GEX look like for SPY?" and it answers using the live data on your screen. You can describe what you want in plain English, and it does it: "Add a SPX GEX Heat Map to my page." Done. "Filter the order flow table for Mag 7 tickers and OTM contracts expiring within 90 days." Done. Quant IQ is included with every dashboard subscription. This is the first version. It only gets smarter from here.

We just launched Quant IQ 🧠 an AI assistant built directly into Quant Data. It sees what you see 👀. Ask "What does the 0DTE GEX look like for SPY?" and it answers using the live data on your screen. You can describe what you want in plain English, and it does it: "Add a SPX GEX Heat Map to my page." Done. "Filter the order flow table for Mag 7 tickers and OTM contracts expiring within 90 days." Done. Quant IQ is included with every dashboard subscription. This is the first version. It only gets smarter from here.

Andrew Hiesinger

21,009 次观看 • 2 个月前

CryptoCopy beta is live! The solution allows you to trade on multiple exchanges at the same time. Over 20 top exchanges will be available in total. You can apply here. In the video, you can see an example of copying a trade from a #Bybit futures account to #Binance and #Bitget exchanges. In this example, it is clear how opening a trade on one exchange immediately executes the trade on the other exchanges! This is essential for diversifying your funds across different exchanges to reduce non-trading risks, improve execution, and enhance liquidity, especially when trading altcoins. Copying trades via CryptoCopy occurs at a speed of 30 milliseconds, faster than what it takes for exchanges to execute your market order!

CryptoCopy beta is live! The solution allows you to trade on multiple exchanges at the same time. Over 20 top exchanges will be available in total. You can apply here. In the video, you can see an example of copying a trade from a #Bybit futures account to #Binance and #Bitget exchanges. In this example, it is clear how opening a trade on one exchange immediately executes the trade on the other exchanges! This is essential for diversifying your funds across different exchanges to reduce non-trading risks, improve execution, and enhance liquidity, especially when trading altcoins. Copying trades via CryptoCopy occurs at a speed of 30 milliseconds, faster than what it takes for exchanges to execute your market order!

CryptoCopy

105,761 次观看 • 2 年前

THIS FUCKING GUY TURNED GROK INTO HIS PERSONAL TRADING ASSISTANT. $350 AN HOUR USING AI. Instead of staring at charts all day, he used Grok to analyze setups, identify patterns, and help him execute a simple trading strategy. Here’s the workflow ↓ → Feed market data into Grok → Ask it to scan for specific setups → Filter trades using strict conditions → Confirm the entry → Set a defined stop-loss + take-profit → Track the position automatically The crazy part? He claims the system can generate around $350 per hour when the market conditions line up. The important lesson isn’t the $350. It’s how he uses AI. He didn’t ask Grok to predict the market. He gave it rules. Then used AI to make the process faster, more systematic, and easier to repeat. No magic. No guaranteed profits. Just a trading strategy + AI + disciplined execution. Here’s the exact strategy he uses Comment « Al » and I'll send you the website

THIS FUCKING GUY TURNED GROK INTO HIS PERSONAL TRADING ASSISTANT. $350 AN HOUR USING AI. Instead of staring at charts all day, he used Grok to analyze setups, identify patterns, and help him execute a simple trading strategy. Here’s the workflow ↓ → Feed market data into Grok → Ask it to scan for specific setups → Filter trades using strict conditions → Confirm the entry → Set a defined stop-loss + take-profit → Track the position automatically The crazy part? He claims the system can generate around $350 per hour when the market conditions line up. The important lesson isn’t the $350. It’s how he uses AI. He didn’t ask Grok to predict the market. He gave it rules. Then used AI to make the process faster, more systematic, and easier to repeat. No magic. No guaranteed profits. Just a trading strategy + AI + disciplined execution. Here’s the exact strategy he uses Comment « Al » and I'll send you the website

Niche trader

60,373 次观看 • 24 天前

If you aren't doing this daily, you are falling behind. 🛑 Here is the ultimate post-market review loop inside TradesViz | Trading Performance Analysis: 📊 Analyze your PnL vs. Time of Day. 🔍 Spot the trades with the worst Exit Efficiency. 🕹️ Click "Replay" to instantly simulate that exact trade and see where your execution failed. Doing this just a few times a week builds incredible market intuition 🧠 🤨 You stop guessing what went wrong and actually watch it go wrong in the simulator. You don't need a charting package, a journal, and a separate replay tool. You just need TradesViz trading journal 🔖 Build your edge: 👇 #replay #trading #stocks #psychology #tradingjournal

If you aren't doing this daily, you are falling behind. 🛑 Here is the ultimate post-market review loop inside TradesViz | Trading Performance Analysis: 📊 Analyze your PnL vs. Time of Day. 🔍 Spot the trades with the worst Exit Efficiency. 🕹️ Click "Replay" to instantly simulate that exact trade and see where your execution failed. Doing this just a few times a week builds incredible market intuition 🧠 🤨 You stop guessing what went wrong and actually watch it go wrong in the simulator. You don't need a charting package, a journal, and a separate replay tool. You just need TradesViz trading journal 🔖 Build your edge: 👇 #replay #trading #stocks #psychology #tradingjournal

Steve Burns

10,997 次观看 • 4 个月前

$Data encryption is now live on Veilnet. Available in @veilnet/mcp-server@0.3.0. Any blob — file, dataset, config, recovery codes, contract draft, research note, agent memory — can now be encrypted on your device, shipped to Veilnet as ciphertext, and fetched back later without the decryption key ever leaving your machine. Three new MCP tools are live: data_store({ label, data }) encrypt + store data on Veilnetdata_fetch({ id }) fetch + decrypt locallydata_list() list stored ids With labels kept encrypted, the flow is simple: user data → encrypted locally → ciphertext stored on Veilnet → key remains on user device → agent fetches when needed → local decryption onlyVeilnet sees encrypted blobs. Your AI agent gets persistent private memory and secure storage.The provider does not need the raw data. This works in Claude Code, Claude Desktop, Cursor, Continue, and Cline. Install: npm i -g @veilnet/mcp-server Bootstrap your key at: → Agent tab Then ask any MCP-aware agent:“store this encrypted on Veilnet.”Docs:docs.veilnet.toPrivate prompts protected what users ask. Private MCP protected what agents run. Wallet Context protected what agents read. Encrypted data storage now protects what agents remember and reuse. All powered by $VEILNET$

Data encryption is now live on Veilnet. Available in @veilnet/[email protected]. Any blob — file, dataset, config, recovery codes, contract draft, research note, agent memory — can now be encrypted on your device, shipped to Veilnet as ciphertext, and fetched back later without the decryption key ever leaving your machine. Three new MCP tools are live: data_store({ label, data }) encrypt + store data on Veilnetdata_fetch({ id }) fetch + decrypt locallydata_list() list stored ids With labels kept encrypted, the flow is simple: user data → encrypted locally → ciphertext stored on Veilnet → key remains on user device → agent fetches when needed → local decryption onlyVeilnet sees encrypted blobs. Your AI agent gets persistent private memory and secure storage.The provider does not need the raw data. This works in Claude Code, Claude Desktop, Cursor, Continue, and Cline. Install: npm i -g @veilnet/mcp-server Bootstrap your key at: → Agent tab Then ask any MCP-aware agent:“store this encrypted on Veilnet.”Docs:docs.veilnet.toPrivate prompts protected what users ask. Private MCP protected what agents run. Wallet Context protected what agents read. Encrypted data storage now protects what agents remember and reuse. All powered by $VEILNET

Veilnet

11,761 次观看 • 4 个月前

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 次观看 • 10 个月前

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:

Here is why Nimble has 1.1M Claude plugin installations. Ask Claude what your competitor's pricing looks like right now and it will tell you it can't browse the web. Install the Nimble skill and ask the same question. You get live, structured data back in seconds. That's the whole story. Nimble turns Claude into an agent that can actually search the live internet, extract specific data from any page, and return it in clean, structured format ready for analysis. No setup beyond the one-time install. → Search any public webpage from inside Claude → Extract structured data from product pages, news, job boards, social profiles → Get AI-ready output, not raw HTML It crossed 1.1M installs because it solves the exact limitation that makes Claude frustrating for real research tasks. Link:

Rimsha Bhardwaj

61,011 次观看 • 4 个月前

🚨 THIS GUY JUST TURNED CLAUDE INTO A FULL-BLOWN TRADING TERMINAL BY PASTING ONE URL!! Liquid's MCP connector feeds Claude live pricing, funding rates, open interest, positioning data, and even lets you execute trades, all from the chat window Setup takes ~30 seconds: Settings → Connectors → paste Liquid URL → authorize. That's it It sounds like a gimmick until you see the output: Claude drops a full market breakdown, macro context, risk-off regime, sector rotation, then gives you 5 actionable picks: WTI Oil long, MU dip buy, NASDAQ short, MRVL long, ZEC momentum play You ask 'analyze MU for a long trade' and it pulls live data: $870.94 price, -2.69% 24h, $127M OI, funding at 0.0028%. Then breaks down positioning, smart money is 36.2% short-heavy, meaning squeeze potential if it reverses The wildest part? You can literally submit a 3x leveraged long right from Claude $1,500 size, $500 collateral, market order, one click confirm Most retail traders still pay $50/month for signal groups with less context than a single Claude prompt plugged into live markets Bookmark this. The edge is now one connector URL away

🚨 THIS GUY JUST TURNED CLAUDE INTO A FULL-BLOWN TRADING TERMINAL BY PASTING ONE URL!! Liquid's MCP connector feeds Claude live pricing, funding rates, open interest, positioning data, and even lets you execute trades, all from the chat window Setup takes ~30 seconds: Settings → Connectors → paste Liquid URL → authorize. That's it It sounds like a gimmick until you see the output: Claude drops a full market breakdown, macro context, risk-off regime, sector rotation, then gives you 5 actionable picks: WTI Oil long, MU dip buy, NASDAQ short, MRVL long, ZEC momentum play You ask 'analyze MU for a long trade' and it pulls live data: $870.94 price, -2.69% 24h, $127M OI, funding at 0.0028%. Then breaks down positioning, smart money is 36.2% short-heavy, meaning squeeze potential if it reverses The wildest part? You can literally submit a 3x leveraged long right from Claude $1,500 size, $500 collateral, market order, one click confirm Most retail traders still pay $50/month for signal groups with less context than a single Claude prompt plugged into live markets Bookmark this. The edge is now one connector URL away

cristal

87,506 次观看 • 3 个月前

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

OptimAI Network

36,680 次观看 • 4 个月前

We spent 4 months building an engine arbitraging Polymarket faster than any Claude bot can sign an order. When the spread crosses the threshold both sides execute. 90ms. Jito atomic bundles. Both fill or nothing fills. The orderbook view shows live depth across venues. The heatmap shows execution density across every active market in real time. 4 months of engineering. This is what 50,000 lines of code looks like when it’s running. We made it free. Set your parameters and run.

We spent 4 months building an engine arbitraging Polymarket faster than any Claude bot can sign an order. When the spread crosses the threshold both sides execute. 90ms. Jito atomic bundles. Both fill or nothing fills. The orderbook view shows live depth across venues. The heatmap shows execution density across every active market in real time. 4 months of engineering. This is what 50,000 lines of code looks like when it’s running. We made it free. Set your parameters and run.

PolyArbiter

99,942 次观看 • 5 个月前

I just added real-time AI translation into Chormex using GPT-Realtime-2… and this feels absolutely surreal. It works across YouTube videos, live streams, meetings, presentations, basically anywhere audio is playing inside Chrome. You can watch translated speech in real time while simultaneously using Codex on top of the live context. “Summarize this.” “What are the key points?” “Turn this into notes.” “Explain what they mean.” “Organize the discussion.” …all while the video or meeting is still happening. It genuinely feels like browsers are evolving into real-time AI operating systems. We are getting dangerously close to a world where language barriers on the internet completely disappear.

I just added real-time AI translation into Chormex using GPT-Realtime-2… and this feels absolutely surreal. It works across YouTube videos, live streams, meetings, presentations, basically anywhere audio is playing inside Chrome. You can watch translated speech in real time while simultaneously using Codex on top of the live context. “Summarize this.” “What are the key points?” “Turn this into notes.” “Explain what they mean.” “Organize the discussion.” …all while the video or meeting is still happening. It genuinely feels like browsers are evolving into real-time AI operating systems. We are getting dangerously close to a world where language barriers on the internet completely disappear.

CHOI

192,215 次观看 • 4 个月前

Your AI Agents can only analyze 1GB of data Enterprises have 1,000,000x as much data We fixed that... It took 3 years and building an entirely new execution environment to pull this off. TextQL lets AI agents analyze your ENTIRE enterprise data - not just the 0.0001% they can handle today. Here's what makes it so different: 1. ALL your data, not samples. AI today: 1GB demos. Your reality: 350TB across 47 systems. TextQL: Everything. At once. 2. Real enterprise questions.ChatGPT writes poems. We answer why renewal rates dropped 3% after ERP upgrades. 3. No more sandbox limitations.Everyone else: Jupyter notebook with 10GB RAM. Us: A data center. ------------------------------ In 2021, I watched Fortune 500s spend millions on AI that could only analyze data that fits on a USB stick. Today: - We process 10+ petabytes daily - Our biggest customer analyzes 100TB in real-time - Average query spans 50+ data sources And we just proved what everyone said was impossible - AI that can actually build a digital twin of your enterprise ------------------------------ To celebrate, we're giving away free data architecture assessments. We'll show you exactly how much of your data is invisible to AI right now (spoiler: it's probably 99.9%). Comment "TextQL" and we'll send you the assessment link.

Your AI Agents can only analyze 1GB of data Enterprises have 1,000,000x as much data We fixed that... It took 3 years and building an entirely new execution environment to pull this off. TextQL lets AI agents analyze your ENTIRE enterprise data - not just the 0.0001% they can handle today. Here's what makes it so different: 1. ALL your data, not samples. AI today: 1GB demos. Your reality: 350TB across 47 systems. TextQL: Everything. At once. 2. Real enterprise questions.ChatGPT writes poems. We answer why renewal rates dropped 3% after ERP upgrades. 3. No more sandbox limitations.Everyone else: Jupyter notebook with 10GB RAM. Us: A data center. ------------------------------ In 2021, I watched Fortune 500s spend millions on AI that could only analyze data that fits on a USB stick. Today: - We process 10+ petabytes daily - Our biggest customer analyzes 100TB in real-time - Average query spans 50+ data sources And we just proved what everyone said was impossible - AI that can actually build a digital twin of your enterprise ------------------------------ To celebrate, we're giving away free data architecture assessments. We'll show you exactly how much of your data is invisible to AI right now (spoiler: it's probably 99.9%). Comment "TextQL" and we'll send you the assessment link.

ethan ding 📊

162,180 次观看 • 1 年前

Onchain trading still feels more fragmented than it should. One tab for discovery. Another for market data. Another to check wallets. Another to execute the trade. Then another one to track what happened after. I spent some time actually trading through Warden / Halo Token Terminal today, and this is where the “one terminal” idea started to make sense. - Discovery before execution Instead of moving between Dexscreener, CoinGecko and a separate trading interface, I can filter the market directly across Robinhood Chain, Arc, Base and BNB Chain by liquidity, FDV, volume, age, category, signals and even Top Cooks activity. I picked $JOLLY on Robinhood Chain and took it one step further with Warden Buffett. The AI chart read doesn’t simply throw out a bullish or bearish prediction. It breaks down trend, momentum, MACD, pool flow, liquidity, holder concentration, support/resistance and contract risk across multiple timeframes. In this case it actually came back with “direction unsettled” and gave me the levels and market structure behind that conclusion. That is much more useful to me than an AI tool pretending it knows where price goes next. - Analysis and execution stay on the same screen From the AI read, I went directly into a real USDG → JOLLY trade. Before I signed anything, the terminal showed me the route, estimated amount received, minimum received, slippage, platform fee and whether the route was gasless. I knew the downside of the execution before confirming it. No separate swap tab. No moving assets around just to continue the workflow. Warden also keeps PnL tracking inside the terminal, so discovery, analysis, execution and position tracking don’t become four different jobs. - The part I find more interesting than another price screener Top Cooks adds another layer to discovery. Instead of only asking what is moving?, I can see where consistently profitable wallets are active and compare their net flows over 1H, 24H and 7D. That turns wallet activity into another input before making a trade rather than something I have to research separately afterward. Then the leaderboard ties the whole system together: trading activity, new traders and referrals all contribute to the points competition. For this trade, Warden effectively replaced several tabs I would normally keep open at the same time. Discovery → AI analysis → wallet flows → execution → PnL All inside one terminal. If you want to test workflow yourself, you can join through link,

Onchain trading still feels more fragmented than it should. One tab for discovery. Another for market data. Another to check wallets. Another to execute the trade. Then another one to track what happened after. I spent some time actually trading through Warden / Halo Token Terminal today, and this is where the “one terminal” idea started to make sense. - Discovery before execution Instead of moving between Dexscreener, CoinGecko and a separate trading interface, I can filter the market directly across Robinhood Chain, Arc, Base and BNB Chain by liquidity, FDV, volume, age, category, signals and even Top Cooks activity. I picked $JOLLY on Robinhood Chain and took it one step further with Warden Buffett. The AI chart read doesn’t simply throw out a bullish or bearish prediction. It breaks down trend, momentum, MACD, pool flow, liquidity, holder concentration, support/resistance and contract risk across multiple timeframes. In this case it actually came back with “direction unsettled” and gave me the levels and market structure behind that conclusion. That is much more useful to me than an AI tool pretending it knows where price goes next. - Analysis and execution stay on the same screen From the AI read, I went directly into a real USDG → JOLLY trade. Before I signed anything, the terminal showed me the route, estimated amount received, minimum received, slippage, platform fee and whether the route was gasless. I knew the downside of the execution before confirming it. No separate swap tab. No moving assets around just to continue the workflow. Warden also keeps PnL tracking inside the terminal, so discovery, analysis, execution and position tracking don’t become four different jobs. - The part I find more interesting than another price screener Top Cooks adds another layer to discovery. Instead of only asking what is moving?, I can see where consistently profitable wallets are active and compare their net flows over 1H, 24H and 7D. That turns wallet activity into another input before making a trade rather than something I have to research separately afterward. Then the leaderboard ties the whole system together: trading activity, new traders and referrals all contribute to the points competition. For this trade, Warden effectively replaced several tabs I would normally keep open at the same time. Discovery → AI analysis → wallet flows → execution → PnL All inside one terminal. If you want to test workflow yourself, you can join through link,

Arjantit

25,616 次观看 • 6 天前

Day 6 of why you need to use Jupiter Mobile: LIVE TRANSACTION FEED A real-time view of all market activity, built directly into the token page, the same way you’d expect on desktop. Most wallets show a static chart, then send you on a treasure hunt to find out what’s actually moving the price. Instead, in the same view as all token data, you get: - A live stream of every buy and sell as it happens - Time, price, size, volume, and wallet address for each trade - Immediate visibility into where flow is going and what’s moving the market All of this lives inside the token view, no need for dashboards, browsers, or app switching. Trade like a pro with full visibility into the flow. Just Use Jupiter (Mobile).

Day 6 of why you need to use Jupiter Mobile: LIVE TRANSACTION FEED A real-time view of all market activity, built directly into the token page, the same way you’d expect on desktop. Most wallets show a static chart, then send you on a treasure hunt to find out what’s actually moving the price. Instead, in the same view as all token data, you get: - A live stream of every buy and sell as it happens - Time, price, size, volume, and wallet address for each trade - Immediate visibility into where flow is going and what’s moving the market All of this lives inside the token view, no need for dashboards, browsers, or app switching. Trade like a pro with full visibility into the flow. Just Use Jupiter (Mobile).

Jupiter

149,591 次观看 • 8 个月前

Using OpenAI gpt-realtime-2 to get a glimpse of future voice-first experiences. A market dashboard you don’t click through. You direct it. Say, “Focus on Apple,” and the whole interface changes. Ask, “How did it do over the last 30 days?” and the chart updates. Say, “Go back,” and the market view returns. No menus. No filters. No hunting around. Just intent. What makes this model especially interesting is the interaction loop: you can interrupt it, add more context, change direction, and it keeps reasoning in real time while updating the experience around you. The interface doesn’t ask you to navigate. It just takes you there.

Using OpenAI gpt-realtime-2 to get a glimpse of future voice-first experiences. A market dashboard you don’t click through. You direct it. Say, “Focus on Apple,” and the whole interface changes. Ask, “How did it do over the last 30 days?” and the chart updates. Say, “Go back,” and the market view returns. No menus. No filters. No hunting around. Just intent. What makes this model especially interesting is the interaction loop: you can interrupt it, add more context, change direction, and it keeps reasoning in real time while updating the experience around you. The interface doesn’t ask you to navigate. It just takes you there.

Levin Stanley

99,288 次观看 • 4 个月前

As we close out 2025, one thing is undeniable: this year pushed order flow further than ever. From launching the terminal, to aggregating data in ways most platforms still can’t, to deep dives into liquidation heatmaps, native TPOs, and advanced custom scripting, we focused on one goal: turning noise into edge. And we didn’t do it alone. We grew together, a community of true nerds who now see the auction for what it really is. You shared wins. You asked hard questions. You shaped the terminal with your feedback. Thank you, genuinely - for the trust, energy, and constant push to make this better. None of this happens without you. Looking ahead to 2026, we’re not slowing down. Coming next: - Legacy market support - Non-time based rotations - Alerts & webhook functionality - Direct trade execution from the terminal All built with one purpose: making professional-grade order flow accessible, fast, and uncompromising. 2026 will be: Faster. Cleaner. Sharper. Thanks for being part of the journey - and for pushing the edge forward with us. See you in the terminal, The MMT Team PS: Take a look at where we started just a few months ago 👇🔊

As we close out 2025, one thing is undeniable: this year pushed order flow further than ever. From launching the terminal, to aggregating data in ways most platforms still can’t, to deep dives into liquidation heatmaps, native TPOs, and advanced custom scripting, we focused on one goal: turning noise into edge. And we didn’t do it alone. We grew together, a community of true nerds who now see the auction for what it really is. You shared wins. You asked hard questions. You shaped the terminal with your feedback. Thank you, genuinely - for the trust, energy, and constant push to make this better. None of this happens without you. Looking ahead to 2026, we’re not slowing down. Coming next: - Legacy market support - Non-time based rotations - Alerts & webhook functionality - Direct trade execution from the terminal All built with one purpose: making professional-grade order flow accessible, fast, and uncompromising. 2026 will be: Faster. Cleaner. Sharper. Thanks for being part of the journey - and for pushing the edge forward with us. See you in the terminal, The MMT Team PS: Take a look at where we started just a few months ago 👇🔊

MMT

13,135 次观看 • 9 个月前

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

You don’t need a dev team anymore. You need one prompt. Zoer takes your idea and turns it into a fully working app, not just code, but a real product you can use. Here’s what it handles for you: • Database (already structured) • Backend (logic + APIs) • Frontend (clean, production-ready UI) • Auth (Google + email login) • Deployment (live in one click) Most AI tools stop at “here’s your code.” Zoer goes further: It builds the entire system and puts it live. From: “build me a CRM / SaaS / tool” To: A real, working product you can open, test, and share. Try it → No setup. No configs. No extra tools. This is what building should feel like in 2026.

Tanvir

18,160 次观看 • 5 个月前

Coinbase CEO, Brian Armstrong: Some great insights on how they are using internally hosted AI Agents. "It’s connected to every Slack message, every Google Doc, and every Salesforce data confluence. Now, this is all linked up and the data is all aggregated, so you can ask these agents questions. Every team is using it—legal, finance, everything. It’s like the "Oracle of Coinbase." I’ve started to ask it things that go beyond just simple prompting, like "Hey, can you write this kind of memo for me?" I’m asking these AI agents now, as CEO, "What should I be aware of in the company that I might not be aware of?" It will tell me, "Did you know that there’s actually disagreement on this team about the strategy?" I realized I didn't know that, but the AI does because it can read every Slack message and every Google Doc. Tobi, who is on my board, calls this "reverse prompting." Instead of telling the AI agent what you want to do, you ask it what you should be thinking more about." --- From The All-In Podcast YT channel (link in comment)

Coinbase CEO, Brian Armstrong: Some great insights on how they are using internally hosted AI Agents. "It’s connected to every Slack message, every Google Doc, and every Salesforce data confluence. Now, this is all linked up and the data is all aggregated, so you can ask these agents questions. Every team is using it—legal, finance, everything. It’s like the "Oracle of Coinbase." I’ve started to ask it things that go beyond just simple prompting, like "Hey, can you write this kind of memo for me?" I’m asking these AI agents now, as CEO, "What should I be aware of in the company that I might not be aware of?" It will tell me, "Did you know that there’s actually disagreement on this team about the strategy?" I realized I didn't know that, but the AI does because it can read every Slack message and every Google Doc. Tobi, who is on my board, calls this "reverse prompting." Instead of telling the AI agent what you want to do, you ask it what you should be thinking more about." --- From The All-In Podcast YT channel (link in comment)

Rohan Paul

174,977 次观看 • 6 个月前