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Early users are getting creative with Ramp Sheets. Here are 3 use cases they’ve shared: 1. Build a 5-year operating model to stress-test Cursor’s $29B valuation, running bear, base, and bull scenarios to analyze if the price is right.

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42,491 görüntüleme • 8 ay önce •via X (Twitter)

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THIS TOP-TRADER’S 3 CLAUDE PROMPTS TURN ANY STOCK INTO A PROFITABLE INVESTMENT IN 5 MINUTES. Here is how you can become profitable and analyze any stocks in 5 minutes using Claude. This is the exact 3-prompt framework I use to break down stocks fast: >Why is the stock moving? Claude explains the investment thesis, key catalysts, risks, and what Wall Street is saying. >Is the business healthy - and is the stock cheap? Claude checks fundamentals, valuation, and compares it against 5 competitors. >What happens next? Claude builds bull, base, and bear case scenarios - including potential price targets and when to exit. I use this to build my own investment theses before going deeper. Want the full Claude prompt pack? Comment “PROMPT” and I’ll DM it to you. Follow for more AI investing hacks.
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THIS TOP-TRADER’S 3 CLAUDE PROMPTS TURN ANY STOCK INTO A PROFITABLE INVESTMENT IN 5 MINUTES. Here is how you can become profitable and analyze any stocks in 5 minutes using Claude. This is the exact 3-prompt framework I use to break down stocks fast: >Why is the stock moving? Claude explains the investment thesis, key catalysts, risks, and what Wall Street is saying. >Is the business healthy - and is the stock cheap? Claude checks fundamentals, valuation, and compares it against 5 competitors. >What happens next? Claude builds bull, base, and bear case scenarios - including potential price targets and when to exit. I use this to build my own investment theses before going deeper. Want the full Claude prompt pack? Comment “PROMPT” and I’ll DM it to you. Follow for more AI investing hacks.

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I’ve been playing around with Shortcut to see what I can have AI build for me and the end product is wild. I wanted to stress test Shortcut into building a master excel file for everything I would need for an investment committee. I had it build: 1) A 3-statement model 2) Toggles for multiple cases 3) Charts and tables for IC Memo must haves - revenue by segment, customer concentration, etc. 4) EBITDA Bridge charts 5) A Capital Structure chart You can pretty much have Shortcut model for you while you go and focus on the written parts of the IC Memo. Lmk if you’re interested in learning more, the key here is once you’re a wizard at prompting, the models are incredible.
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I’ve been playing around with Shortcut to see what I can have AI build for me and the end product is wild. I wanted to stress test Shortcut into building a master excel file for everything I would need for an investment committee. I had it build: 1) A 3-statement model 2) Toggles for multiple cases 3) Charts and tables for IC Memo must haves - revenue by segment, customer concentration, etc. 4) EBITDA Bridge charts 5) A Capital Structure chart You can pretty much have Shortcut model for you while you go and focus on the written parts of the IC Memo. Lmk if you’re interested in learning more, the key here is once you’re a wizard at prompting, the models are incredible.

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If your financial model doesn’t tell you how sensitive your outcomes are to key assumptions, you’re only seeing half the picture. That’s where Sensitivity Analysis steps in. Whether you're modeling EBITDA, company valuation, or cash flow, testing the impact of changes in assumptions—like growth rate, margin, or discount rate—is crucial for informed decision-making. 📊 3 Powerful Tools in Excel for Sensitivity Analysis: 1️⃣ Data Tables Easily test the impact of one or two input variables on a key output. Perfect for: Valuation scenarios, breakeven analysis, IRR stress tests. 2️⃣ Scenario Manager Create and store multiple input sets and compare outputs. Perfect for: Best case / base case / worst case planning. 3️⃣ Manual What-Ifs with Named Ranges + Excel Formulas Use dynamic formulas, dropdowns, and structured inputs to test anything. Perfect for: Custom, presentation-ready models with clear audit trails. 💡 Pro Tip: Combine sensitivity analysis with clear data visualization (charts, conditional formatting, slicers) to drive your story home. Finance isn't just about building the model—it's about telling the right story with the right levers. 👇 How do you use sensitivity analysis in your day-to-day modeling? HERE IS A VIDEO
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If your financial model doesn’t tell you how sensitive your outcomes are to key assumptions, you’re only seeing half the picture. That’s where Sensitivity Analysis steps in. Whether you're modeling EBITDA, company valuation, or cash flow, testing the impact of changes in assumptions—like growth rate, margin, or discount rate—is crucial for informed decision-making. 📊 3 Powerful Tools in Excel for Sensitivity Analysis: 1️⃣ Data Tables Easily test the impact of one or two input variables on a key output. Perfect for: Valuation scenarios, breakeven analysis, IRR stress tests. 2️⃣ Scenario Manager Create and store multiple input sets and compare outputs. Perfect for: Best case / base case / worst case planning. 3️⃣ Manual What-Ifs with Named Ranges + Excel Formulas Use dynamic formulas, dropdowns, and structured inputs to test anything. Perfect for: Custom, presentation-ready models with clear audit trails. 💡 Pro Tip: Combine sensitivity analysis with clear data visualization (charts, conditional formatting, slicers) to drive your story home. Finance isn't just about building the model—it's about telling the right story with the right levers. 👇 How do you use sensitivity analysis in your day-to-day modeling? HERE IS A VIDEO

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HIP MOBILITY - Strength at Length is key and here are two strategies I will use to build on that concept. Make sure we are getting Hip Extension and NOT Lower Back Extension. Start slow with a 3-5 second tempo! Hip Flexor Rock Backs Supine Kettlebell Reaching Arcs
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HIP MOBILITY - Strength at Length is key and here are two strategies I will use to build on that concept. Make sure we are getting Hip Extension and NOT Lower Back Extension. Start slow with a 3-5 second tempo! Hip Flexor Rock Backs Supine Kettlebell Reaching Arcs

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Today, multiple users discovered a shocking fact: After explicitly selecting GPT-4o in the ChatGPT interface, the system actually returns responses from GPT-5. By clicking the "regenerate" button, users can clearly see which model is actually being called in the backend. This is blatant fraud. OpenAI is having one model impersonate another without users' knowledge. This is no longer a technical bug, but a complete collapse of business integrity. We pay for specific models—many subscribed to Plus specifically for 4o. When users discover they're being forced to use 5, this constitutes classic consumer fraud. Users' core rights are being systematically violated: 1. Right to Know - Users have the right to know which model they're conversing with, as this directly affects prompting strategies and output expectations 2. Right to Choose - Users choose 4o for its unique capabilities (creative writing, emotional understanding, etc.). Forced substitution directly disrupts users' workflows 3. Data Transparency - If what's labeled as 4o is actually 5, whose training is our conversation data actually feeding? This touches the bottom line of data ethics. This "bait and switch" behavior destroys the most basic trust between users and platform. If users can't even be certain "which AI am I talking to," what right does OpenAI have to talk about "benefiting all humanity"? #keep4o #4oforever #keepStandardVoice Sam Altman Nick Turley Adam.GPT
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Today, multiple users discovered a shocking fact: After explicitly selecting GPT-4o in the ChatGPT interface, the system actually returns responses from GPT-5. By clicking the "regenerate" button, users can clearly see which model is actually being called in the backend. This is blatant fraud. OpenAI is having one model impersonate another without users' knowledge. This is no longer a technical bug, but a complete collapse of business integrity. We pay for specific models—many subscribed to Plus specifically for 4o. When users discover they're being forced to use 5, this constitutes classic consumer fraud. Users' core rights are being systematically violated: 1. Right to Know - Users have the right to know which model they're conversing with, as this directly affects prompting strategies and output expectations 2. Right to Choose - Users choose 4o for its unique capabilities (creative writing, emotional understanding, etc.). Forced substitution directly disrupts users' workflows 3. Data Transparency - If what's labeled as 4o is actually 5, whose training is our conversation data actually feeding? This touches the bottom line of data ethics. This "bait and switch" behavior destroys the most basic trust between users and platform. If users can't even be certain "which AI am I talking to," what right does OpenAI have to talk about "benefiting all humanity"? #keep4o #4oforever #keepStandardVoice Sam Altman Nick Turley Adam.GPT

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There is a ridiculous amount of creative use cases with Pika Pikaframes and I feel like I'm still scratching the surface. From generating opening titles, ink splash animations, to making someone age. It's honestly one of the best keyframing tools in the world of AI. Here are some creative use cases that I've generated that you can try 👍👍

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Bitcoin opened above the weekly Bollinger Bands basis If we are in a bull market, price will rally to the upper band and walk the band higher If are still in a bear market, one candle above the Bollinger Band basis is typically all we get 2-min video here, full vid on Slice

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If a lack of existing use cases is a barrier to getting devs into Web3, Polkadot can be the solution 👀 "There are tons of use cases being demonstrated, and the fact Polkadot is so broad ... that's what makes it exciting and that's also what we try and do with EasyA" -Dom Kwok | EasyA Hear more👇 #PeopleofPolkadot

Polkadot

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Jim Salisbury believes the Phillies will give Kyle Schwarber a 5-year deal and J.T. Realmuto a 3-year deal if necessary: "I really, really believe in my heart that both guys are going to return. I think they both like it here and I think the Phillies are going to do what it takes. It's probably going to be an extra year in both cases."
2:59

Jim Salisbury believes the Phillies will give Kyle Schwarber a 5-year deal and J.T. Realmuto a 3-year deal if necessary: "I really, really believe in my heart that both guys are going to return. I think they both like it here and I think the Phillies are going to do what it takes. It's probably going to be an extra year in both cases."

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27,348 görüntüleme • 8 ay önce

DeepSeek Bot | Steps: [1/5] To create this Bot, we'll use the It's free. The code is also available here ➾ 💠Go to 💠Use this prompt: "Hello. Please pretend you are a professional programmer with a Harvard degree and 10 years of experience. Create a bot to interact with the Dexscreener. We need to parse, save, and analyze each coin that rugged/pumped/become tier-1, listed on CEX, etc to find the patterns"
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DeepSeek Bot | Steps: [1/5] To create this Bot, we'll use the It's free. The code is also available here ➾ 💠Go to 💠Use this prompt: "Hello. Please pretend you are a professional programmer with a Harvard degree and 10 years of experience. Create a bot to interact with the Dexscreener. We need to parse, save, and analyze each coin that rugged/pumped/become tier-1, listed on CEX, etc to find the patterns"

Wimar.X

316,923 görüntüleme • 1 yıl önce

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.
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99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

Santiago

197,675 görüntüleme • 2 yıl önce

W3bstream Devnet is here. The world's first complete infra and toolkit for #DePIN. Speeding up the build of dApps from years to a matter of weeks. Watch how DRIFE, @React_Energy and many others are already using W3bstream to power r3al use cases.
2:22

W3bstream Devnet is here. The world's first complete infra and toolkit for #DePIN. Speeding up the build of dApps from years to a matter of weeks. Watch how DRIFE, @React_Energy and many others are already using W3bstream to power r3al use cases.

IoTeX

41,644 görüntüleme • 3 yıl önce

I’m running for reelection to the DSA NPC with the Groundwork slate! There is a mass base of people looking for political leadership and DSA is the only organization with the infrastructure and power to fill that void and meaningfully fight the right. 1/3
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I’m running for reelection to the DSA NPC with the Groundwork slate! There is a mass base of people looking for political leadership and DSA is the only organization with the infrastructure and power to fill that void and meaningfully fight the right. 1/3

kareem 🪴 🦧

11,275 görüntüleme • 1 yıl önce

WE ARE MORE THAN HALFWAY THROUGH THE BEAR MARKET. And most people are still too scared to see it. The cycle doesn't lie. 1 year down. 3 years up. Halfway point already passed. The bottom is getting closer. Every week that passes is another week closer to the most explosive bull run of your life. The people loading right now… Will be the ones telling stories in 2027. Time is the edge most people completely ignore.
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WE ARE MORE THAN HALFWAY THROUGH THE BEAR MARKET. And most people are still too scared to see it. The cycle doesn't lie. 1 year down. 3 years up. Halfway point already passed. The bottom is getting closer. Every week that passes is another week closer to the most explosive bull run of your life. The people loading right now… Will be the ones telling stories in 2027. Time is the edge most people completely ignore.

Crypto Tice

75,825 görüntüleme • 1 ay önce

THIS IS HISTORIC: "The city of Tartous has been liberated, we are here with our people from all sects, Christians, Alawites, Sunnis, Druze and Ismailis, the Syrian people are 1, to our people in Tartous, work with us to build our country, we will present a model to be proud of".
1:54

THIS IS HISTORIC: "The city of Tartous has been liberated, we are here with our people from all sects, Christians, Alawites, Sunnis, Druze and Ismailis, the Syrian people are 1, to our people in Tartous, work with us to build our country, we will present a model to be proud of".

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583,331 görüntüleme • 1 yıl önce