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#SoftwareDeveloper working on 2 Projects at same time 🤪 Google Microsoft Infosys Tata Consultancy Services CA Technologies Jain Software®

Sohil Jain 

3,857 subscribers

267,738 次观看 • 3 年前 •via X (Twitter)

科学技术教育 #SoftwareDeveloper

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I was given some extra Bubbler Headphones codes to give out!! Huge thanks to Microsoft for giving me these codes!! 💕 Just retweet + follow and ill pick 2 winners on tuesday at this same time! 🎁 #Roblox #MicrosoftRewards #Microsoft

I was given some extra Bubbler Headphones codes to give out!! Huge thanks to Microsoft for giving me these codes!! 💕 Just retweet + follow and ill pick 2 winners on tuesday at this same time! 🎁 #Roblox #MicrosoftRewards #Microsoft

Lukas

29,954 次观看 • 2 年前

⚡ CrowdStrike Falcon® Complete MDR sets a new benchmark with the fastest mean time to detect (MTTD) at only 4 minutes in the new MITRE Engenuity ATT&CK® Evaluations: Managed Services, Round 2 detection-only test. 💻 Learn more on our website:

⚡ CrowdStrike Falcon® Complete MDR sets a new benchmark with the fastest mean time to detect (MTTD) at only 4 minutes in the new MITRE Engenuity ATT&CK® Evaluations: Managed Services, Round 2 detection-only test. 💻 Learn more on our website:

CrowdStrike

97,805 次观看 • 2 年前

Street cleaners from India start working in St. Petersburg The first group arrived back in September to fill the labor shortage. Some Indians claim they previously worked in the IT sector. For example, one of them says he was an AI developer at Microsoft. At the same time, the city has extended the ban on foreign workers in the courier and taxi sectors, while regular raids on migrants are being carried out.

Street cleaners from India start working in St. Petersburg The first group arrived back in September to fill the labor shortage. Some Indians claim they previously worked in the IT sector. For example, one of them says he was an AI developer at Microsoft. At the same time, the city has extended the ban on foreign workers in the courier and taxi sectors, while regular raids on migrants are being carried out.

NEXTA

847,022 次观看 • 8 个月前

10/ Hopefully Tiffany faces legal consequences soon. She stole from people, taunted them directly, and flexed the proceeds online without a trace of remorse. At the same time she's left a complete paper trail of chat logs, recordings, and onchain data. I have not posted on X as much recently, but I've been working on several side projects, including a long overdue website I hope to share soon.

10/ Hopefully Tiffany faces legal consequences soon. She stole from people, taunted them directly, and flexed the proceeds online without a trace of remorse. At the same time she's left a complete paper trail of chat logs, recordings, and onchain data. I have not posted on X as much recently, but I've been working on several side projects, including a long overdue website I hope to share soon.

ZachXBT

173,253 次观看 • 26 天前

I remember the day my dad got laid off. He came home early. Sat at the kitchen table. Didn’t say anything for a long time. 28 years at the same company. $52,000 a year. Same desk. Same commute. Same handshake every Christmas party. They called him into HR on a Tuesday morning and handed him a folder. 2 weeks severance. $2,000. A COBRA packet at $1,400 a month he couldn’t afford and a thank you for your service. He was 54. Too young for Medicare. Too old to start over. Too proud to tell us how scared he was. He spent the next 4 years working part time jobs at $14 an hour. Not to retire comfortably. Not to build anything. Just to keep health insurance so a hospital bill wouldn’t finish what the layoff started. 28 years. $1.4 million in value given to that company. And they never called to check on him once. I will never forget that kitchen table moment. That’s when I learned that no company will ever love you back.

I remember the day my dad got laid off. He came home early. Sat at the kitchen table. Didn’t say anything for a long time. 28 years at the same company. $52,000 a year. Same desk. Same commute. Same handshake every Christmas party. They called him into HR on a Tuesday morning and handed him a folder. 2 weeks severance. $2,000. A COBRA packet at $1,400 a month he couldn’t afford and a thank you for your service. He was 54. Too young for Medicare. Too old to start over. Too proud to tell us how scared he was. He spent the next 4 years working part time jobs at $14 an hour. Not to retire comfortably. Not to build anything. Just to keep health insurance so a hospital bill wouldn’t finish what the layoff started. 28 years. $1.4 million in value given to that company. And they never called to check on him once. I will never forget that kitchen table moment. That’s when I learned that no company will ever love you back.

Fermsy 🎒

693,348 次观看 • 3 个月前

If the weight, reps, or sets aren't increasing over time, you're not training. You're exercising. Training has direction. Exercise is just movement. "But I'm working really hard!" Working hard at the same load you used 6 months ago isn't training. It's maintenance. Your body adapts to stimulus. Once adapted, there's no reason to grow further. You must provide novel stimulus: - More weight - More reps at same weight - More sets (carefully) - Better form at same load Something must improve or you're spinning your wheels. "I can't always progress!" Then you're doing too much volume or training too frequently relative to your recovery capacity. You should be able to progress something every 2-3 weeks at minimum. If you're stuck: - Reduce volume to increase recovery - Focus on one lift to prioritise - Check if you're actually eating enough You can't build muscle without building strength over time. The two are correlated at the individual level. If your lifts aren't going up over months, neither is your muscle mass. Track everything. Compare to last month. Progress or adjust. Training without progression is just going to the gym.

If the weight, reps, or sets aren't increasing over time, you're not training. You're exercising. Training has direction. Exercise is just movement. "But I'm working really hard!" Working hard at the same load you used 6 months ago isn't training. It's maintenance. Your body adapts to stimulus. Once adapted, there's no reason to grow further. You must provide novel stimulus: - More weight - More reps at same weight - More sets (carefully) - Better form at same load Something must improve or you're spinning your wheels. "I can't always progress!" Then you're doing too much volume or training too frequently relative to your recovery capacity. You should be able to progress something every 2-3 weeks at minimum. If you're stuck: - Reduce volume to increase recovery - Focus on one lift to prioritise - Check if you're actually eating enough You can't build muscle without building strength over time. The two are correlated at the individual level. If your lifts aren't going up over months, neither is your muscle mass. Track everything. Compare to last month. Progress or adjust. Training without progression is just going to the gym.

Sama Hoole

16,049 次观看 • 8 个月前

TG govt, Analog and MEIL signed a MoU to collaborate on developing next-generation intelligent infrastructure and AI-driven urban solutions. • The MoU was signed in the presence of Chief Minister Revanth Reddy after a high-level meeting with Analog Founder & CEO Alex Kipman and MEIL MD P. Krishna Reddy. • They briefed the Chief Minister on the proposed #Hyderabad Traffic Pilot Project aimed at improving urban mobility and city management through advanced technologies. • Discussions focused on the progress of joint projects being undertaken by Analog and MEIL. • The companies presented their vision for next-generation intelligent infrastructure and physical intelligence-based solutions. • The companies showcased how sensors, robotics and AI can create safer, smarter and more responsive urban infrastructure. • Their presentation highlighted the concept of Cognitive Cities, including AI-enabled adaptive traffic signals, real-time congestion management, early detection of water leakages, smart energy management, and priority routes for ambulances and fire services during emergencies. • The companies also explained how data-driven infrastructure planning can improve governance and enhance citizen services. • Chief Minister Revanth Reddy directed officials to integrate Hyderabad’s traffic signals into a unified intelligent system. • He suggested AI-driven traffic management that dynamically adjusts signal timings based on traffic congestion and weather conditions. • The MoU aims to strengthen technological collaboration and accelerate innovation-led infrastructure development in Telangana.

TG govt, Analog and MEIL signed a MoU to collaborate on developing next-generation intelligent infrastructure and AI-driven urban solutions. • The MoU was signed in the presence of Chief Minister Revanth Reddy after a high-level meeting with Analog Founder & CEO Alex Kipman and MEIL MD P. Krishna Reddy. • They briefed the Chief Minister on the proposed #Hyderabad Traffic Pilot Project aimed at improving urban mobility and city management through advanced technologies. • Discussions focused on the progress of joint projects being undertaken by Analog and MEIL. • The companies presented their vision for next-generation intelligent infrastructure and physical intelligence-based solutions. • The companies showcased how sensors, robotics and AI can create safer, smarter and more responsive urban infrastructure. • Their presentation highlighted the concept of Cognitive Cities, including AI-enabled adaptive traffic signals, real-time congestion management, early detection of water leakages, smart energy management, and priority routes for ambulances and fire services during emergencies. • The companies also explained how data-driven infrastructure planning can improve governance and enhance citizen services. • Chief Minister Revanth Reddy directed officials to integrate Hyderabad’s traffic signals into a unified intelligent system. • He suggested AI-driven traffic management that dynamically adjusts signal timings based on traffic congestion and weather conditions. • The MoU aims to strengthen technological collaboration and accelerate innovation-led infrastructure development in Telangana.

Naveena

30,859 次观看 • 2 个月前

Well… I scrolled Facebook today and counted 22 new brush clearing companies in our local market alone. Every single one of them…except one, started no earlier than summer of 2025. A lot of them are copying our social formula almost exactly. - Same content style. - Same messaging. - Same angles. Not quite as effectively, but close enough. At the same time, I get emails, calls, and texts almost every day from people around the country starting forestry mulching businesses who want advice. Which is fascinating to watch… and exactly what we expected. Here’s the part people don’t talk about when they say “just post more content”: Visibility creates competition. Our lead costs are up roughly 10x because of market saturation. Our close rates are down because crowded markets always turn into a race to the bottom on price. That’s the tax of winning. Luckily, we planned for this. We’ve been expecting this since day one, and we’re rolling out Phase 2 of Brushworks this spring… a little earlier than anticipated, but no big deal. I will say… I am surprised by how fast people rush into a market when they see a good idea working. It moves faster than most people think. On to Phase 2. I won’t be sharing this one though. 😄

Well… I scrolled Facebook today and counted 22 new brush clearing companies in our local market alone. Every single one of them…except one, started no earlier than summer of 2025. A lot of them are copying our social formula almost exactly. - Same content style. - Same messaging. - Same angles. Not quite as effectively, but close enough. At the same time, I get emails, calls, and texts almost every day from people around the country starting forestry mulching businesses who want advice. Which is fascinating to watch… and exactly what we expected. Here’s the part people don’t talk about when they say “just post more content”: Visibility creates competition. Our lead costs are up roughly 10x because of market saturation. Our close rates are down because crowded markets always turn into a race to the bottom on price. That’s the tax of winning. Luckily, we planned for this. We’ve been expecting this since day one, and we’re rolling out Phase 2 of Brushworks this spring… a little earlier than anticipated, but no big deal. I will say… I am surprised by how fast people rush into a market when they see a good idea working. It moves faster than most people think. On to Phase 2. I won’t be sharing this one though. 😄

Alex B

58,933 次观看 • 7 个月前

2 weeks ago i started delegating everything to an AI agent not just writing. actual operations. here's exactly what it does for me now: 1. trades polymarket 24/7 (378 wins, 27 losses, 93% win rate) 2. sends me a morning brief every day at 7:30am with personalized tweet suggestions based on what performed yesterday 3. scrapes my own analytics and tracks what's working 4. monitors all my bots and alerts me when something breaks 5. checks my email and calendar so i don't have to total setup cost: $0. it runs on a $600 mac mini. the part nobody tells you: the first week was terrible. bad suggestions, wrong data, generic output. but every time it got something wrong, i told it why. and it got better. AI isn't plug and play. it's a team member you train with honest feedback. the people treating AI like a google search will never get here.

2 weeks ago i started delegating everything to an AI agent not just writing. actual operations. here's exactly what it does for me now: 1. trades polymarket 24/7 (378 wins, 27 losses, 93% win rate) 2. sends me a morning brief every day at 7:30am with personalized tweet suggestions based on what performed yesterday 3. scrapes my own analytics and tracks what's working 4. monitors all my bots and alerts me when something breaks 5. checks my email and calendar so i don't have to total setup cost: $0. it runs on a $600 mac mini. the part nobody tells you: the first week was terrible. bad suggestions, wrong data, generic output. but every time it got something wrong, i told it why. and it got better. AI isn't plug and play. it's a team member you train with honest feedback. the people treating AI like a google search will never get here.

Sharbel

16,692 次观看 • 6 个月前

🚨 THIS IS HOW AI BUBBLE WILL CRASH S&P 500 Read this carefully before buying stocks. Three AI and space giants are entering public markets in the same cycle with a combined valuation approaching $4 trillion. 1. THE BIGGEST IPO WAVE IN DECADES → SpaceX has already gone public with $1.7 trillion valuation $SPCX debuted on Nasdaq on June 12 and become one of the largest public listings in history. → OpenAI has already filed a confidential S-1 and is targeting a valuation above $1 trillion. → Anthropic is also considering an IPO at a valuation of around $1 trillion. 2. THE LIQUIDITY DRAIN The S&P 500 is now carried mostly by the Mag 7 and AI stocks. Nvidia, Microsoft, Google, Amazon and others make up roughly 33% to 35% of the entire index. These three listings could pull $200 billion or more from the market. Funds may need to sell existing positions to buy SpaceX, OpenAI and Anthropic. Nvidia, Microsoft and Google could be the first to feel the pressure. The S&P 500 has also resisted fast tracking these unprofitable giants into the index. That means the rotation could hit existing index leaders even harder. 3. HISTORY IS REPEATING At the peak of every major bubble, capital became concentrated in a small group of “can’t lose” companies. → The Roaring Twenties → The Nifty Fifty era → Japan’s 1980s bubble → The Dot-Com Bubble of 1999 to 2000 Today, tech concentration is once again near historical extremes. 4. THE REAL SELLING STARTS AFTER THE IPO After an IPO, early investors finally get the chance to lock in profits. Lockup expirations have historically increased selling pressure. During the Dot Com crash, even the strongest companies got destroyed. → Amazon: 95% dump → Microsoft: 65% dump → Intel: 80% dump → Oracle: 80% dump → Yahoo: 97% dump A great business does NOT protect investors from extreme overvaluation. Massive listings at these valuations, while many AI companies are still deeply unprofitable, are a clear sign of market euphoria. I’ve said this before. And the cycle is still playing out exactly according to plan. Turn notifications on. I’ll post the warning BEFORE it hits the headlines.

🚨 THIS IS HOW AI BUBBLE WILL CRASH S&P 500 Read this carefully before buying stocks. Three AI and space giants are entering public markets in the same cycle with a combined valuation approaching $4 trillion. 1. THE BIGGEST IPO WAVE IN DECADES → SpaceX has already gone public with $1.7 trillion valuation $SPCX debuted on Nasdaq on June 12 and become one of the largest public listings in history. → OpenAI has already filed a confidential S-1 and is targeting a valuation above $1 trillion. → Anthropic is also considering an IPO at a valuation of around $1 trillion. 2. THE LIQUIDITY DRAIN The S&P 500 is now carried mostly by the Mag 7 and AI stocks. Nvidia, Microsoft, Google, Amazon and others make up roughly 33% to 35% of the entire index. These three listings could pull $200 billion or more from the market. Funds may need to sell existing positions to buy SpaceX, OpenAI and Anthropic. Nvidia, Microsoft and Google could be the first to feel the pressure. The S&P 500 has also resisted fast tracking these unprofitable giants into the index. That means the rotation could hit existing index leaders even harder. 3. HISTORY IS REPEATING At the peak of every major bubble, capital became concentrated in a small group of “can’t lose” companies. → The Roaring Twenties → The Nifty Fifty era → Japan’s 1980s bubble → The Dot-Com Bubble of 1999 to 2000 Today, tech concentration is once again near historical extremes. 4. THE REAL SELLING STARTS AFTER THE IPO After an IPO, early investors finally get the chance to lock in profits. Lockup expirations have historically increased selling pressure. During the Dot Com crash, even the strongest companies got destroyed. → Amazon: 95% dump → Microsoft: 65% dump → Intel: 80% dump → Oracle: 80% dump → Yahoo: 97% dump A great business does NOT protect investors from extreme overvaluation. Massive listings at these valuations, while many AI companies are still deeply unprofitable, are a clear sign of market euphoria. I’ve said this before. And the cycle is still playing out exactly according to plan. Turn notifications on. I’ll post the warning BEFORE it hits the headlines.

Wimar.X

54,068 次观看 • 2 个月前

CoinCreate $CREA ✅ CoinCreate offers a complete suite of tools for deploying tokens, staking contracts, vesting contracts, governance systems, NFT collections, and more - all from a single platform. Say goodbye to multiple fragmented services and manage everything in one place. 🤩 Key Features • Over 9 contract types • Available on 8+ chains and counting • User friendly UI/UX dashboard • OpenZeppelin security • Fully customizable contracts • Cross-chain compatability 👍 Key Benefits • Reduced contract development costs • Reduced development time • Access to secure templates • Rapid market entry • Easy-to-use 👤 Target Audience • Web3 projects (existing & new) • Businesses • Average blockchain user • Artists 🛫 What to expect in future • Even more contracts added • More available blockchains • Governance Platform • Partnerships & onboarding... ✅ Token Usecases • VIP Access : Access to advanced features and customizations. • Revenue-Share : Users will get a portion of *future* revenue. 🚀 Launchpad & KYC Audits • Launch partner: PROOF PLATFORM site • KYC and Audit Partner : ASSURE DEFI site ⚠️ Information & Updates • Utility is currently available on the Ethereum network, offering token and staking contract deployment only. • Updates lined up for upto 2 months post-launch (for more contracts and networks) • Paid ads going live from next week TG - CA - 0x28ae7b2ebd6f10f4393f410f6b7896380a949d62

CoinCreate $CREA ✅ CoinCreate offers a complete suite of tools for deploying tokens, staking contracts, vesting contracts, governance systems, NFT collections, and more - all from a single platform. Say goodbye to multiple fragmented services and manage everything in one place. 🤩 Key Features • Over 9 contract types • Available on 8+ chains and counting • User friendly UI/UX dashboard • OpenZeppelin security • Fully customizable contracts • Cross-chain compatability 👍 Key Benefits • Reduced contract development costs • Reduced development time • Access to secure templates • Rapid market entry • Easy-to-use 👤 Target Audience • Web3 projects (existing & new) • Businesses • Average blockchain user • Artists 🛫 What to expect in future • Even more contracts added • More available blockchains • Governance Platform • Partnerships & onboarding... ✅ Token Usecases • VIP Access : Access to advanced features and customizations. • Revenue-Share : Users will get a portion of future revenue. 🚀 Launchpad & KYC Audits • Launch partner: PROOF PLATFORM site • KYC and Audit Partner : ASSURE DEFI site ⚠️ Information & Updates • Utility is currently available on the Ethereum network, offering token and staking contract deployment only. • Updates lined up for upto 2 months post-launch (for more contracts and networks) • Paid ads going live from next week TG - CA - 0x28ae7b2ebd6f10f4393f410f6b7896380a949d62

𝕾𝖈𝖔𝖙𝖙 𝕮𝖗𝖞𝖕𝖙𝖔 𝖂𝖆𝖗𝖗𝖎𝖔𝖗

28,785 次观看 • 1 年前

These two products have completely changed my life - Tesla and Starlink. My Tesla can take me anywhere with the press of a button. What used to be time spent focused on driving and stressed has become time I can spend talking with my family, helping my kids, answering messages, being productive, working with Grok, or simply enjoying the ride. Starlink gives me high-speed internet anywhere I am, allowing me to share my experiences, ideas, and passion for these companies with people around the world. Whether I’m on a road trip, in the mountains, or somewhere far from traditional internet service, I’m always connected. Elon has spent decades pushing toward a future that most people thought was impossible. Agree with him or not, it’s hard to deny the level of commitment, risk-taking, and execution required to build companies like Tesla, SpaceX, Starlink, xAI, 𝕏, and more all at the same time. This is why I’m comfortable putting my trust, my time, and ALL my capital behind Elon and the team… I know where these companies are headed from using the products day in and day out extensively. When I look at Tesla, I don’t just see a car company. When I look at Starlink, I don’t just see an internet provider. Others may. Not me though… I see the foundation of technologies that will positively impact billions of people, our kids, and the next generations over the coming decades. These two companies combined is a $100 trillion opportunity in the making… sounds crazy today to many, but u bet it won’t in the future.

These two products have completely changed my life - Tesla and Starlink. My Tesla can take me anywhere with the press of a button. What used to be time spent focused on driving and stressed has become time I can spend talking with my family, helping my kids, answering messages, being productive, working with Grok, or simply enjoying the ride. Starlink gives me high-speed internet anywhere I am, allowing me to share my experiences, ideas, and passion for these companies with people around the world. Whether I’m on a road trip, in the mountains, or somewhere far from traditional internet service, I’m always connected. Elon has spent decades pushing toward a future that most people thought was impossible. Agree with him or not, it’s hard to deny the level of commitment, risk-taking, and execution required to build companies like Tesla, SpaceX, Starlink, xAI, 𝕏, and more all at the same time. This is why I’m comfortable putting my trust, my time, and ALL my capital behind Elon and the team… I know where these companies are headed from using the products day in and day out extensively. When I look at Tesla, I don’t just see a car company. When I look at Starlink, I don’t just see an internet provider. Others may. Not me though… I see the foundation of technologies that will positively impact billions of people, our kids, and the next generations over the coming decades. These two companies combined is a $100 trillion opportunity in the making… sounds crazy today to many, but u bet it won’t in the future.

Teslaconomics

11,431 次观看 • 2 个月前

⚡️INTRODUCING HARDSTAKE, BOOSTS AND SAFE LP TRANSFERS This very important update concerns creators, users, liquidity providers and integrators. Please read carefully and hang tight HARDSTAKE: A new router function that allows projects to implement any custom staking logic safely on any ERC20, adhering to the Ethervista Euler model. This opens up new possibilities for token economics, including locking LP tokens permanently while still earning rewards - effectively "burning" tokens without losing benefits. The $VISTA token will be the first to implement HARDSTAKE 👇 Ethervista will now offer BOOSTS, allowing new projects to advertise directly on for an ETH fee. This feature gives launched tokens instant exposure to our large user base. All BOOST fees go straight to $VISTA stakers. It's our way of ensuring supporters benefit directly from ETHERVISTA's growth. This system exemplifies our core idea: traders, creators, and providers working together to create value for everyone involved. To ensure a smooth rollout of these new features, we're implementing a phased approach: 1. One-week integration period: We're giving everyone time to adapt to these changes and build accordingly before deploying to mainnet. 2. Public audit: During this week, we're opening a public audit period. Any bugs found will be generously rewarded 3. Documentation: Comprehensive documentation is available at providing detailed information on HARDSTAKE and safe LP transfers. 4. Developer support: We've opened a dedicated developer chat on Discord to offer full support and answer any questions during the integration process.

⚡️INTRODUCING HARDSTAKE, BOOSTS AND SAFE LP TRANSFERS This very important update concerns creators, users, liquidity providers and integrators. Please read carefully and hang tight HARDSTAKE: A new router function that allows projects to implement any custom staking logic safely on any ERC20, adhering to the Ethervista Euler model. This opens up new possibilities for token economics, including locking LP tokens permanently while still earning rewards - effectively "burning" tokens without losing benefits. The $VISTA token will be the first to implement HARDSTAKE 👇 Ethervista will now offer BOOSTS, allowing new projects to advertise directly on for an ETH fee. This feature gives launched tokens instant exposure to our large user base. All BOOST fees go straight to $VISTA stakers. It's our way of ensuring supporters benefit directly from ETHERVISTA's growth. This system exemplifies our core idea: traders, creators, and providers working together to create value for everyone involved. To ensure a smooth rollout of these new features, we're implementing a phased approach: 1. One-week integration period: We're giving everyone time to adapt to these changes and build accordingly before deploying to mainnet. 2. Public audit: During this week, we're opening a public audit period. Any bugs found will be generously rewarded 3. Documentation: Comprehensive documentation is available at providing detailed information on HARDSTAKE and safe LP transfers. 4. Developer support: We've opened a dedicated developer chat on Discord to offer full support and answer any questions during the integration process.

Ethervista

40,145 次观看 • 1 年前

In 2007, I designed tools that let anyone draw on top of Google Maps. People could drop pins, draw lines and shapes, and layer their own meaning onto the world with "My Maps." But nearly 20 years later, one tiny design debate has stayed with me: how should people draw a shape? At the time, we had two options. 1. Draw mode: users click and drag to create. 2. Drop + edit: the app drops a default shape, then users resize + move it. I pushed hard for draw mode. People were tracing rivers and roads, so precision mattered. A default square dropped in the middle of Kansas wasn’t going to cut it. Decades later, this same debate is still playing out in modern tools: → Figma, Illustrator, Google Slides use draw mode → Canva, Keynote, PowerPoint use drop + edit While there clearly isn't consensus, some newer products are evolving beyond these patterns: → FigJam gracefully merges draw mode and drop + edit into one concept with its semi-transparent “ghost” objects. → Apple Photos on iPhone is a great context for drop + edit. The canvas is small and the mobile user inputs are limited. After decades of using digital drawing tools, I still bristle when a tool drops an unsolicited rectangle onto my screen. At best, it feels presumptuous. At worst, it feels lazy. When we built My Maps, we designed tools that invited users to create. We provided the means, but we let people lead. That same principle applies to every product today: understand who you’re building for and what they need, then design the simplest, most intuitive workflows — ones that let users lead. Because in the end, the best tools don’t assume what users want. They respond. Full breakdown in comments below.

In 2007, I designed tools that let anyone draw on top of Google Maps. People could drop pins, draw lines and shapes, and layer their own meaning onto the world with "My Maps." But nearly 20 years later, one tiny design debate has stayed with me: how should people draw a shape? At the time, we had two options. 1. Draw mode: users click and drag to create. 2. Drop + edit: the app drops a default shape, then users resize + move it. I pushed hard for draw mode. People were tracing rivers and roads, so precision mattered. A default square dropped in the middle of Kansas wasn’t going to cut it. Decades later, this same debate is still playing out in modern tools: → Figma, Illustrator, Google Slides use draw mode → Canva, Keynote, PowerPoint use drop + edit While there clearly isn't consensus, some newer products are evolving beyond these patterns: → FigJam gracefully merges draw mode and drop + edit into one concept with its semi-transparent “ghost” objects. → Apple Photos on iPhone is a great context for drop + edit. The canvas is small and the mobile user inputs are limited. After decades of using digital drawing tools, I still bristle when a tool drops an unsolicited rectangle onto my screen. At best, it feels presumptuous. At worst, it feels lazy. When we built My Maps, we designed tools that invited users to create. We provided the means, but we let people lead. That same principle applies to every product today: understand who you’re building for and what they need, then design the simplest, most intuitive workflows — ones that let users lead. Because in the end, the best tools don’t assume what users want. They respond. Full breakdown in comments below.

Elizabeth Laraki

175,676 次观看 • 10 个月前

NEW ALL IN: $PALU @ 33.60 This is the 2X Palo Alto Networks $PANW ETF. I entered roughly when $PANW was at $270. The thesis is simple: they have earnings on Tue 6/2 and could pull a SNOW or DELL like move. (Breaking my rule here on leverage. The implied move on earnings is +/- 8% so a 2X leveraged ETF makes this +/- 16%. I think that is still survivable if I'm wrong) - Anthropic Mythos is causing havoc finding 10K+ security exploits and that is legitimately scaring EVERYONE - Palo Alto Networks is one of the main security partners helping Anthropic find and fix things before its release. They are publishing so many blog posts and deep dives and really establishing themselves as the main name for this new era of AI cybersecurity - Project Glasswing started on April 7 so while the price is already up 69% since then, I think (just like every other crazy earnings) they will somehow surprise us even more - Hedge fund 🐐 Gavin Baker started a new $90M position along with dozens of hedge funds increasing positions in Q1 2026 - CEO is so badass he bottom-ticked his own stock on March 27 for $10M. Robinhood has this labelled wrong (it shows only 100 shares bought on open market but I checked the actual SEC filing and confirmed he did buy the whole $10M on open market) - Board also authorized an extra $1B stock buyback program on March 10 which is always nice to see Earnings have been massive re-rating events for software names these past few days. If you read my late night free alpha post you might've got a wiff of where my spidey senses are at. 1. Cybersecurity underloved ✅ 2. Software rotation ✅ 3. Insider buy ✅ TLDR: Market is rotating back into software and rewarding high quality category leaders. Note: $ZS and $S had bad earnings and tanked but are incomparable in quality and market cap to $PANW. Plus $PANW has had time to learn how to structure their earnings calls. They're also beating $CRWD to the punch with their earnings a day earlier. I literally stumbled upon this ticker last night and learned they have earnings on Tue. Hence the late night alert and urgent trade. You have to turn the bell on if you're following me. Subscribing gets you my first thoughts and drafts. Sold $HLIT @ 16.32 right when I woke up for an 8% gain. Still believe in the thesis (I stand by every thesis I publish) and would love to jump back after the earnings play (same with any stock I talk about). --- As a reminder: this is my challenge account where I restarted with $35k to go all-in swing trading 1 stock at a time to $10M again. Now at $71k. As always, please do your own research with your own independent thinking and risk tolerance and decide your own buys and sells.

NEW ALL IN: $PALU @ 33.60 This is the 2X Palo Alto Networks $PANW ETF. I entered roughly when $PANW was at $270. The thesis is simple: they have earnings on Tue 6/2 and could pull a SNOW or DELL like move. (Breaking my rule here on leverage. The implied move on earnings is +/- 8% so a 2X leveraged ETF makes this +/- 16%. I think that is still survivable if I'm wrong) - Anthropic Mythos is causing havoc finding 10K+ security exploits and that is legitimately scaring EVERYONE - Palo Alto Networks is one of the main security partners helping Anthropic find and fix things before its release. They are publishing so many blog posts and deep dives and really establishing themselves as the main name for this new era of AI cybersecurity - Project Glasswing started on April 7 so while the price is already up 69% since then, I think (just like every other crazy earnings) they will somehow surprise us even more - Hedge fund 🐐 Gavin Baker started a new $90M position along with dozens of hedge funds increasing positions in Q1 2026 - CEO is so badass he bottom-ticked his own stock on March 27 for $10M. Robinhood has this labelled wrong (it shows only 100 shares bought on open market but I checked the actual SEC filing and confirmed he did buy the whole $10M on open market) - Board also authorized an extra $1B stock buyback program on March 10 which is always nice to see Earnings have been massive re-rating events for software names these past few days. If you read my late night free alpha post you might've got a wiff of where my spidey senses are at. 1. Cybersecurity underloved ✅ 2. Software rotation ✅ 3. Insider buy ✅ TLDR: Market is rotating back into software and rewarding high quality category leaders. Note: $ZS and $S had bad earnings and tanked but are incomparable in quality and market cap to $PANW. Plus $PANW has had time to learn how to structure their earnings calls. They're also beating $CRWD to the punch with their earnings a day earlier. I literally stumbled upon this ticker last night and learned they have earnings on Tue. Hence the late night alert and urgent trade. You have to turn the bell on if you're following me. Subscribing gets you my first thoughts and drafts. Sold $HLIT @ 16.32 right when I woke up for an 8% gain. Still believe in the thesis (I stand by every thesis I publish) and would love to jump back after the earnings play (same with any stock I talk about). --- As a reminder: this is my challenge account where I restarted with $35k to go all-in swing trading 1 stock at a time to $10M again. Now at $71k. As always, please do your own research with your own independent thinking and risk tolerance and decide your own buys and sells.

Kevin Xu

610,193 次观看 • 3 个月前

New open-source agent harness just landed! I got early access to TrueForge by TrueFoundry and have been running it locally for the past few days. The harness layer deserves as much attention as the model, and open source matters here because you can inspect the loop, run it on your own infrastructure, and swap to the latest or cheaper models. TrueForge handles the runtime work that makes an agent reliable. It drives the tool-calling loop, manages context, coordinates subagents, and executes code in a sandbox, with any model you choose. Every tool call re-sends the growing context to the model, so in practice the harness controls most of what an agent costs to run. A few things stood out from my testing and their published benchmarks. Vendor-Neutral by design. It runs OpenAI, Anthropic, and Google models alongside open-weight models like Kimi, GLM, and DeepSeek. Model routing is a setting, and you can send each task to the model that fits it. On a 14-task enterprise agent benchmark, it matched the accuracy of Claude Managed Agents running the same Opus 4.8 model at roughly 30% lower cost per run (3.8M tokens vs 10M for the same answers). Routing the same tasks to GLM-5.2 held accuracy and brought cost down by about 75%, around $3 per run instead of $12. Fully self-hosted and Open Source (MIT License). I had it running locally with one command, with sandboxed code execution working out of the box. It's time to own your agent harness. Thanks to TrueFoundry for partnering on this post.

New open-source agent harness just landed! I got early access to TrueForge by TrueFoundry and have been running it locally for the past few days. The harness layer deserves as much attention as the model, and open source matters here because you can inspect the loop, run it on your own infrastructure, and swap to the latest or cheaper models. TrueForge handles the runtime work that makes an agent reliable. It drives the tool-calling loop, manages context, coordinates subagents, and executes code in a sandbox, with any model you choose. Every tool call re-sends the growing context to the model, so in practice the harness controls most of what an agent costs to run. A few things stood out from my testing and their published benchmarks. Vendor-Neutral by design. It runs OpenAI, Anthropic, and Google models alongside open-weight models like Kimi, GLM, and DeepSeek. Model routing is a setting, and you can send each task to the model that fits it. On a 14-task enterprise agent benchmark, it matched the accuracy of Claude Managed Agents running the same Opus 4.8 model at roughly 30% lower cost per run (3.8M tokens vs 10M for the same answers). Routing the same tasks to GLM-5.2 held accuracy and brought cost down by about 75%, around $3 per run instead of $12. Fully self-hosted and Open Source (MIT License). I had it running locally with one command, with sandboxed code execution working out of the box. It's time to own your agent harness. Thanks to TrueFoundry for partnering on this post.

elvis

11,303 次观看 • 17 天前

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

I just ran Gemma 4 31B on @CerebrasSystems at 1,800+ tokens/sec and it's multimodal. For context: that's 35x faster than a typical GPU endpoint, and the first token (reasoning included) lands in 1.5 seconds. This isn't a benchmark slide, I recorded the inference live. Prompt I used: "Create a simulation of an iPhone. Include at least one working dummy note taking app, a functional notification pulldown, high quality graphics, single HTML file, any libs via CDN." - Generation time: 3 seconds. - Notes app worked. - Notification panel worked. - Rendered first try. This is what wafer-scale inference unlocks, not just "faster," but a different category of product. When generation is this fast, you stop waiting and start iterating in real time. Why this matters: Gemma 4 31B is Google DeepMind's flagship open weight model, Apache 2.0 licensed, dense (not MoE), and built for efficiency over raw parameter count. It scores close to Claude Haiku 4.5 on the Artificial Analysis Intelligence Index (30 vs 29) but runs ~18x faster on Cerebras. It's also the first multimodal model on Cerebras's platform, meaning you can now feed it screenshots, documents, charts, and UI states at wafer scale speed. # Applications I'm most excited about: - Screenshot → Insight: Drop in a dashboard or document screenshot, get structured findings back instantly. no waiting, no batching. - Live UI generation: Full interactive interfaces (like my iPhone sim) generated and rendered in under 2 seconds. - Screenshot -> Patch: Feed it a broken UI + console error, get a minimal code fix and verification steps back. - Computer use & agentic loops: See -> reason -> act - verify, fast enough to keep a human in the loop instead of waiting on the model. - Long context summarization: Full research reports condensed into decision ready summaries you can read and requery in one sitting. The bigger unlock isn't the speed number itself, it's that agentic and multimodal loops (see -> reason -> output -> tool call -> verify -> retry) finally run in real time instead of feeling sluggish. As Logan Kilpatrick (Logan Kilpatrick) put it: "If every model was doing 2,000 tokens per second, you wouldn't build the same product and just have it be faster, you'd build different products." Gemma 4 31B is live now on Cerebras Inference Cloud in public preview. If you're building multimodal, agentic, or real time apps, this is worth testing today. What would you build with such insane inference throughput?

Alok

12,962 次观看 • 2 个月前

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me Marry Evan (so that I can message you)

Marry Evan

63,191 次观看 • 5 个月前

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me ZAYVEN KNOX (so that I can message you)

This trader gave Claude $44 and one question. Not “what should I build.” Not “how do bots work.” He asked: what’s the easiest way to consistently extract money from short-term mispricing. No lecture. No disclaimer. No theory. It said: find small windows where the market is off by a few percent. Quietly. Repeatedly. At scale. Then it dropped a wallet. stargate5 $165,618 profit 16,279 trades Joined November 2025 He almost skipped it. Then he opened the activity. No predictions. No narratives. Just micro trades on 5–15 minute windows. Over and over and over. Tiny edges. Constant flow. The entire strategy: scan for mispricing above ~6% enter instantly redeem at $1 repeat. He asked Claude how this keeps working. It said: you don’t need big wins. You need a small edge executed thousands of times at near-even conditions. Volume handles the rest. He asked: what kind of capital this started with. Claude: based on sizing — probably under $1,000. Compounding did the rest. He went through the trades manually. Same pattern every time: short window mispriced odds fast execution instant settlement No randomness. No luck. The same edge, repeated 16,279 times until it turned into $165K. He asked Claude one last thing. What do you call this strategy? It said: capturing the gap between panic pricing and actual probability on repeat. At scale, that gap becomes income. Still running. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: Just: 1. Comment the word ‘CLAUDE’ 2. Like and Retweet this post 3. Follow me ZAYVEN KNOX (so that I can message you)

ZAYVEN KNOX

10,809 次观看 • 5 个月前