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Team size behind Neon - Serverless Postgres homepage redesign project: 2x Main Designers + 3 Sidekicks 2x Motion Designers 2x Developers 1x Manager 1x Art Director Next week, we will start posting design breakdowns.

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Alex Barashkov

24,128 subscribers

71,797 次观看 • 2 年前 •via X (Twitter)

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4 months, 855 hours. More stats behind the new Huly landing page. Team size: 1 Art Director 1 Manager 2 Lead Designers + 3 Assistant Designers 3 Developers 3 Motion Designers Hours allocation: 39% Design 29% Dev 24% Motion 8% Art Direction and Management
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4 months, 855 hours. More stats behind the new Huly landing page. Team size: 1 Art Director 1 Manager 2 Lead Designers + 3 Assistant Designers 3 Developers 3 Motion Designers Hours allocation: 39% Design 29% Dev 24% Motion 8% Art Direction and Management

Alex Barashkov

175,508 次观看 • 2 年前

Aircraft visually confirmed hit in Operation Spiderweb by Ukraine 🇺🇦 on June 1, 2025 1. Olenya Air Base 4x Tu-95 Destroyed 1x Tu-95 Damaged 1x An-22 Destroyed 2. Belaya Air Base 3x Tu-95 Destroyed 1x Tu-95 Damaged 4x Tu-22M3 Destroyed 3. Ukrainka Air Base 1x Tu-95 Damaged/Destroyed 4. Ivanovo Air Base 1x Il-76 or A-50 Possible Damaged/Destroyed 5. Dyagilevo Air Base No Confirmed Damage Total Aircraft Hit 7x Tu-95 Destroyed 2x Tu-95 Damaged 4x Tu-22M3 Destroyed 1x A-50 or Il-76 Damaged 1x An-12 Destroyed Total: 16x Aircraft Damaged/Destroyed The list will be updated as more imagery comes in over the next week
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Aircraft visually confirmed hit in Operation Spiderweb by Ukraine 🇺🇦 on June 1, 2025 1. Olenya Air Base 4x Tu-95 Destroyed 1x Tu-95 Damaged 1x An-22 Destroyed 2. Belaya Air Base 3x Tu-95 Destroyed 1x Tu-95 Damaged 4x Tu-22M3 Destroyed 3. Ukrainka Air Base 1x Tu-95 Damaged/Destroyed 4. Ivanovo Air Base 1x Il-76 or A-50 Possible Damaged/Destroyed 5. Dyagilevo Air Base No Confirmed Damage Total Aircraft Hit 7x Tu-95 Destroyed 2x Tu-95 Damaged 4x Tu-22M3 Destroyed 1x A-50 or Il-76 Damaged 1x An-12 Destroyed Total: 16x Aircraft Damaged/Destroyed The list will be updated as more imagery comes in over the next week

Ukraine Battle Map

474,806 次观看 • 1 年前

We did it again 🙌 We challenge ourselves for the second time to make the 2023 digital edition of ‘365, A year of Cartier’. Our mission was to breathe life into their Yearbook, transforming it into an engaging digital journey that highlight their content. A fusion of ingenuity, 3D elements, Motion design and creative coding. 6 immersive experiences built by a great team of designers and developers. The Result : More than 30 articles across 6 main chapters available in 3 languages (French, English and Chinese). Make sure to dive into the ‘Highlights’ section to not miss the interactive articles.
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We did it again 🙌 We challenge ourselves for the second time to make the 2023 digital edition of ‘365, A year of Cartier’. Our mission was to breathe life into their Yearbook, transforming it into an engaging digital journey that highlight their content. A fusion of ingenuity, 3D elements, Motion design and creative coding. 6 immersive experiences built by a great team of designers and developers. The Result : More than 30 articles across 6 main chapters available in 3 languages (French, English and Chinese). Make sure to dive into the ‘Highlights’ section to not miss the interactive articles.

Hervé Studio

17,432 次观看 • 2 年前

AthenaX Roundtable EP.3 is LIVE! ——— Design is not just decoration. It is the cheapest growth channel a startup can buy. In this episode, we sit down with Phil Hedayatnia, co-founder of Airfoil, a crypto-native design studio behind hundreds of launches across Solana and beyond. We unpack what actually moves the needle when most teams obsess over features and forget the story users need to hear first. What we dig into: Why most funnels die at the front door, and how a clear landing page can outperform months of UX tinkering Customer research that prevents wasted engineering, and how to test the why behind behavior, not just the what How to hire and keep elite designers, run global teams, and build a feedback culture that people trust Practical one-week sprints that create lift, and where founders should invest first for ROI AI in the creative stack, from idea prototyping to research superpowers, plus what gets disrupted next The honest founder stuff, dealing with bad-fit clients, burnout, pricing, and knowing when design is overkill ——— Powered by Nouns.eth Polkadot ——— Timestamps: 00:00 Navigating Client Relationships and Team Dynamics 02:39 The Unique Approach of Airfoil in Crypto Design 04:48 Common Design Mistakes and User Understanding 06:34 The Journey from Product Manager to Agency Founder 10:21 Challenges of Scaling and Client Management 12:44 Building a Strong Agency Culture and Hiring Strategies 15:58 The Importance of Feedback and Communication 21:47 The Value of Design in the Crypto Space 25:49 Engaging with Early-Stage Founders 29:23 Design's Role in Investor Confidence 32:39 AI's Impact on Creative Workflows 37:22 Future Directions for Airfoil ——— Follow AthenaX on: X: YouTube: TikTok: Instagram: Apple Podcast:
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AthenaX Roundtable EP.3 is LIVE! ——— Design is not just decoration. It is the cheapest growth channel a startup can buy. In this episode, we sit down with Phil Hedayatnia, co-founder of Airfoil, a crypto-native design studio behind hundreds of launches across Solana and beyond. We unpack what actually moves the needle when most teams obsess over features and forget the story users need to hear first. What we dig into: Why most funnels die at the front door, and how a clear landing page can outperform months of UX tinkering Customer research that prevents wasted engineering, and how to test the why behind behavior, not just the what How to hire and keep elite designers, run global teams, and build a feedback culture that people trust Practical one-week sprints that create lift, and where founders should invest first for ROI AI in the creative stack, from idea prototyping to research superpowers, plus what gets disrupted next The honest founder stuff, dealing with bad-fit clients, burnout, pricing, and knowing when design is overkill ——— Powered by Nouns.eth Polkadot ——— Timestamps: 00:00 Navigating Client Relationships and Team Dynamics 02:39 The Unique Approach of Airfoil in Crypto Design 04:48 Common Design Mistakes and User Understanding 06:34 The Journey from Product Manager to Agency Founder 10:21 Challenges of Scaling and Client Management 12:44 Building a Strong Agency Culture and Hiring Strategies 15:58 The Importance of Feedback and Communication 21:47 The Value of Design in the Crypto Space 25:49 Engaging with Early-Stage Founders 29:23 Design's Role in Investor Confidence 32:39 AI's Impact on Creative Workflows 37:22 Future Directions for Airfoil ——— Follow AthenaX on: X: YouTube: TikTok: Instagram: Apple Podcast:

AthenaX

11,319 次观看 • 10 个月前

** MEGA Parodius Scaling Effects Part 1 ** One of the big challenges with the Parodius Megadrive port is Stage 8's boss - The puffer-fish *Pooyan* with his full screen scaling effect. The goal is to be very close to the arcade (with extras on top ) so I thought lets tackle it head on to see how close we can get. I was also keen to jump into another scaling code rabit hole haha. Pyron pulled out all the stops and got me the source frames and reworked the BG tiles for this test - a big thankyou to him , Vector Orbitex is busy working on Stage 2 tracks so the team is working hard all round on this port. The MD has no sprite / background GFX scaling hardware , however the VDPs Vertical scroll can be updated per scanline to help vertical scaling on backgrounds, but there is a cpu cost to manage all the interupts so thats not free either. With the Horizontal scaling there is no help at all , apart from a semi-friendly packed pixel format for the cpu to work with, its not quite chunky format but better than planar format still for scaling. So its falls back to the 68k CPU to do all of the horizontal expansion which is the largest cpu cost. Basically drawing strips of either 1x, 2x, 3x or 4x wide columns at speed. So we are one week into this Boss's routine and you can see from the below video the horizontal scaling is implented ( vertical will be in the next update ) . We are scaling from 1x to 4x in the video below in 74 steps for testing . The column distributions are always a bit painfull to do - thankfully they are all worked out now. This is the third scaler I have built and the goal was with this one to make it really flexible for use in other projects also, sometimes when you optimise something to the last degree all the flexibility gets taken out of it. Currenty scaling at 12-25 FPS update here, I had some rules against some optimisations which I would use and some I wouldn't , thankfully we are a bit ahead of the Arcades animation frame rate here still and I may yet find optimisations that fit within the scope. We have vertical scaling and sprite spikes to add yet so Im hoping i can find a few more optimisations to offset things when they are implemented also. In a scale frame update we are processing close to 42000 pixels in ram before using DMA to send to VRAM . Using a 41x16 (656 tile scale buffer) - single buffered for now due to its size in VRAM. So thats nearly 21k in tiles ! I had to re-organise ram a bit to support a buffer of that size for the stage. The scaling function is written in 68k assembly , with a little C code handling the Vertical interupt code ( so the game logic can actually run & DMA updates etc ) . The DMA routines are in assembly also and customised for large chunk size ( big blocks of tiles ) which suits the scaler. I had some race conditions to sort out where the cpu was faster than DMA (sending tiles from RAM to VRAM ) and in some cases where it wasn't so it had to be balanced. We may be able to add more detail into the top and bottom of the background yet but its low priority for now until all the other bits are in !! #SGDK #SegaMegadrive #Genesis #Parodius
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** MEGA Parodius Scaling Effects Part 1 ** One of the big challenges with the Parodius Megadrive port is Stage 8's boss - The puffer-fish *Pooyan* with his full screen scaling effect. The goal is to be very close to the arcade (with extras on top ) so I thought lets tackle it head on to see how close we can get. I was also keen to jump into another scaling code rabit hole haha. Pyron pulled out all the stops and got me the source frames and reworked the BG tiles for this test - a big thankyou to him , Vector Orbitex is busy working on Stage 2 tracks so the team is working hard all round on this port. The MD has no sprite / background GFX scaling hardware , however the VDPs Vertical scroll can be updated per scanline to help vertical scaling on backgrounds, but there is a cpu cost to manage all the interupts so thats not free either. With the Horizontal scaling there is no help at all , apart from a semi-friendly packed pixel format for the cpu to work with, its not quite chunky format but better than planar format still for scaling. So its falls back to the 68k CPU to do all of the horizontal expansion which is the largest cpu cost. Basically drawing strips of either 1x, 2x, 3x or 4x wide columns at speed. So we are one week into this Boss's routine and you can see from the below video the horizontal scaling is implented ( vertical will be in the next update ) . We are scaling from 1x to 4x in the video below in 74 steps for testing . The column distributions are always a bit painfull to do - thankfully they are all worked out now. This is the third scaler I have built and the goal was with this one to make it really flexible for use in other projects also, sometimes when you optimise something to the last degree all the flexibility gets taken out of it. Currenty scaling at 12-25 FPS update here, I had some rules against some optimisations which I would use and some I wouldn't , thankfully we are a bit ahead of the Arcades animation frame rate here still and I may yet find optimisations that fit within the scope. We have vertical scaling and sprite spikes to add yet so Im hoping i can find a few more optimisations to offset things when they are implemented also. In a scale frame update we are processing close to 42000 pixels in ram before using DMA to send to VRAM . Using a 41x16 (656 tile scale buffer) - single buffered for now due to its size in VRAM. So thats nearly 21k in tiles ! I had to re-organise ram a bit to support a buffer of that size for the stage. The scaling function is written in 68k assembly , with a little C code handling the Vertical interupt code ( so the game logic can actually run & DMA updates etc ) . The DMA routines are in assembly also and customised for large chunk size ( big blocks of tiles ) which suits the scaler. I had some race conditions to sort out where the cpu was faster than DMA (sending tiles from RAM to VRAM ) and in some cases where it wasn't so it had to be balanced. We may be able to add more detail into the top and bottom of the background yet but its low priority for now until all the other bits are in !! #SGDK #SegaMegadrive #Genesis #Parodius

Shannon Birt

25,545 次观看 • 8 个月前

ChainBot Airdrop Campaign Is Here - Starting Monday 19th May We are rewarding our real users, the traders who’ve powered ChainSwap from day one! For the next 12 weeks, we’re running a massive airdrop campaign, with 100% of our buybacks going straight into the hands of our utility users! Here’s how it works: 1. Airdrop Pool Funding • Cswap tokens worth approximately $300,000, have already been purchased by our buy back wallet ready for the airdrop rewards! •Weeks 1–4 (May 19–June 15): All buyback capital from ChainSwap revenue will go toward additional airdrop token purchases. •Weeks 11–12 (July 28–August 10): 25% of the revenue usually reserved for revenue share will instead be allocated for a post-airdrop buyback, scheduled for the week after the campaign ends to support price and reward continued participation. 2. Airdrop Earning Period •Start Date: Monday, May 19th, 2025 •Duration: 12 weeks total •Eligibility: Anyone using the bot during this period •The more you trade, the more you earn. 3. How Points Are Earned •$100 trading volume = 10 points •Points are based on cumulative trading volume using the bot Points multipliers apply for regular usage: • Active for 50 days: 1.25x • Active for 60 days: 1.5x • Active for 80 days: 2x “Active” = any day with at least one trade using the bot. 4. Leaderboard & Rewards •After 12 weeks, users will be ranked on the leaderboard by their final point totals •Airdrop distribution will be based on your rank and share of total points •Top performers will earn the largest share of the airdrop pool No signup needed. No forms. Just trade. Everything is tracked automatically via your telegram account ID to ensure all wallets attached to your bot are tracked. just keep using the bot and to secure your points to win those prizes! Let the trading commence!
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ChainBot Airdrop Campaign Is Here - Starting Monday 19th May We are rewarding our real users, the traders who’ve powered ChainSwap from day one! For the next 12 weeks, we’re running a massive airdrop campaign, with 100% of our buybacks going straight into the hands of our utility users! Here’s how it works: 1. Airdrop Pool Funding • Cswap tokens worth approximately $300,000, have already been purchased by our buy back wallet ready for the airdrop rewards! •Weeks 1–4 (May 19–June 15): All buyback capital from ChainSwap revenue will go toward additional airdrop token purchases. •Weeks 11–12 (July 28–August 10): 25% of the revenue usually reserved for revenue share will instead be allocated for a post-airdrop buyback, scheduled for the week after the campaign ends to support price and reward continued participation. 2. Airdrop Earning Period •Start Date: Monday, May 19th, 2025 •Duration: 12 weeks total •Eligibility: Anyone using the bot during this period •The more you trade, the more you earn. 3. How Points Are Earned •$100 trading volume = 10 points •Points are based on cumulative trading volume using the bot Points multipliers apply for regular usage: • Active for 50 days: 1.25x • Active for 60 days: 1.5x • Active for 80 days: 2x “Active” = any day with at least one trade using the bot. 4. Leaderboard & Rewards •After 12 weeks, users will be ranked on the leaderboard by their final point totals •Airdrop distribution will be based on your rank and share of total points •Top performers will earn the largest share of the airdrop pool No signup needed. No forms. Just trade. Everything is tracked automatically via your telegram account ID to ensure all wallets attached to your bot are tracked. just keep using the bot and to secure your points to win those prizes! Let the trading commence!

ChainHub

13,687 次观看 • 1 年前

This launch is one of the most exciting and important decisions we have ever made. In the traditional gaming industry, KingNet ( company , is well-known as the developer of the game 《The Legend of MIR 》, Over the past decade, KingNet has supported its operations through a three-pronged business model of research and development, publishing, and investment + IP, launching 100+ high-quality games to date. Web3's building has been ongoing for nearly two years. We have established a brand-new game studio SmileCobra Studio , and establish long-term cooperative relationships with some big guys like TON 💎 BNB Chain Solana Scroll Delphinus Lab ($ZKWASM) Cocos Studio and others. However, after speaking with many developers, we found that before a real user consumption scenario is formed, one of the main challenges many teams face is how to reduce game development costs. So it's best time to learn about Xingyi AI model : the first AI industrialization pipeline, making game production truly "automated". Check here: What problem we want to solve? 1. High Production Costs: Traditional animation design and refinement can cost anywhere from several thousand to tens of thousands of dollars, making it difficult for small startup teams to afford. 2. Long Development Cycles: The fluidity and consistency of animations have always been one of the most time-consuming aspects of development. Designers often spend weeks to achieve a satisfactory result. With Xingyi, it only takes a few steps and minutes to generate the desired animation. 3. Inefficient Collaboration: In the past, game development was usually divided into multiple stages, each managed by independent teams responsible for art, planning, programming, and other roles. The smooth transition between stages relied on high levels of team collaboration and communication. The Xingyi toolchain breaks the traditional division of labor, promoting automation and collaboration across various stages. 4. Automated but Not Passive: Outside of the automated processes, developers are the true creators of the game. Xingyi makes prototype validation and adjustments more scientific and efficient. We will gradually open source the underlying model of Xingyi and make it available to interested collaboration developers (DM is open). We have already made various agent material generation available, and you can try it now: Finally, we would like to discuss a point that many people are concerned about, why was there a launch at @pumpdotfun and it was abandoned? The most important reason is that we lacked experience in the first launch and were affected by snipers and the market. We conducted wallet statistics and found that, excluding bots, a total of 25 addresses suffered a loss of approximately 17 sol. We will use the trading fee of Launch Coin on Believe to airdrop these accounts and apologize again for our mistake. Also, thank you to Launch Coin on Believe for the smooth launch and long-term creative sharing with the builders, only $KNET CA is : CfVs3waH2Z9TM397qSkaipTDhA9wWgtt8UchZKfwkYiu $KNET not representing any equity interests of the parent company , $KNET is a meme, but at the same time, it’s not just a meme. $KNET will play a key role in the consumption scenarios of the KingnetAI ecosystem—imagine having to continuously spend $KNET each time you generate the game modules you want. Gamefi is died？ NO, AI-Gaming just begain here .
2:51

This launch is one of the most exciting and important decisions we have ever made. In the traditional gaming industry, KingNet ( company , is well-known as the developer of the game 《The Legend of MIR 》, Over the past decade, KingNet has supported its operations through a three-pronged business model of research and development, publishing, and investment + IP, launching 100+ high-quality games to date. Web3's building has been ongoing for nearly two years. We have established a brand-new game studio SmileCobra Studio , and establish long-term cooperative relationships with some big guys like TON 💎 BNB Chain Solana Scroll Delphinus Lab ($ZKWASM) Cocos Studio and others. However, after speaking with many developers, we found that before a real user consumption scenario is formed, one of the main challenges many teams face is how to reduce game development costs. So it's best time to learn about Xingyi AI model : the first AI industrialization pipeline, making game production truly "automated". Check here: What problem we want to solve? 1. High Production Costs: Traditional animation design and refinement can cost anywhere from several thousand to tens of thousands of dollars, making it difficult for small startup teams to afford. 2. Long Development Cycles: The fluidity and consistency of animations have always been one of the most time-consuming aspects of development. Designers often spend weeks to achieve a satisfactory result. With Xingyi, it only takes a few steps and minutes to generate the desired animation. 3. Inefficient Collaboration: In the past, game development was usually divided into multiple stages, each managed by independent teams responsible for art, planning, programming, and other roles. The smooth transition between stages relied on high levels of team collaboration and communication. The Xingyi toolchain breaks the traditional division of labor, promoting automation and collaboration across various stages. 4. Automated but Not Passive: Outside of the automated processes, developers are the true creators of the game. Xingyi makes prototype validation and adjustments more scientific and efficient. We will gradually open source the underlying model of Xingyi and make it available to interested collaboration developers (DM is open). We have already made various agent material generation available, and you can try it now: Finally, we would like to discuss a point that many people are concerned about, why was there a launch at @pumpdotfun and it was abandoned? The most important reason is that we lacked experience in the first launch and were affected by snipers and the market. We conducted wallet statistics and found that, excluding bots, a total of 25 addresses suffered a loss of approximately 17 sol. We will use the trading fee of Launch Coin on Believe to airdrop these accounts and apologize again for our mistake. Also, thank you to Launch Coin on Believe for the smooth launch and long-term creative sharing with the builders, only $KNET CA is : CfVs3waH2Z9TM397qSkaipTDhA9wWgtt8UchZKfwkYiu $KNET not representing any equity interests of the parent company , $KNET is a meme, but at the same time, it’s not just a meme. $KNET will play a key role in the consumption scenarios of the KingnetAI ecosystem—imagine having to continuously spend $KNET each time you generate the game modules you want. Gamefi is died？ NO, AI-Gaming just begain here .

Kingnet AI

187,983 次观看 • 1 年前

How to Bring Emojis to Life with AI (Yes, you read that right) 1. Choose the Emoji Wisely Prefer detailed emojis 👨‍🎤 The Man Singer emoji is a good example of this. Face, hair, outfit, mic... The more detailed, the better. 2. Prepare Your Original Image We'll be doing multi-enhancements, so the initial image shouldn't be too large. (I'll explain more about this shortly) I started with a 512x512px image. The smaller the image you start with, the more detail-oriented the enhancer tends to be. I usually use Figma for design and animations. However, you can use any other tool like Canva or Photoshop. Or just download it from somewhere. 3. Upload Your Image Go to Magnific's website and simply drag and drop your image there. 4. Setup the Parameters This is the fun part. You can experiment here to find your own settings or follow the method I used. I start with high creativity and low resemblance values. Depending on how far you want to deviate from the original image, you can increase this contrast. First Enhancing Creativity: 6 / Resemblance: -3 All Parameters Optimized for: Standard Creativity: 6 HDR: 0 (not a fan) Resemblance: -3 Engine: Automatic 5. The Prompt 🪄 Since Magnific uses Stable Diffusion's technology, it uses the same syntax for prompts. But you don't need to write very detailed prompts. Just state what you want to see. The trick here is to use prompt weights. You need to specify the features you want to emphasize like this: Bowie, Portrait photo of a male singer with blue hair, (detailed eyes:1.2), (detailed hair:1.2), (detailed fabric:1.1), (detailed mic:1.1), (realistic skin:1.5), ultra-realistic, 8k You can change the weight values between 1.0 - 2.0 6. Hit that Rainbow Button After a short wait, you'll have a 1024x1024px image. If you like the result, download the image for further enhancements. 7. Reenhancing The system supports up to approximately 4400 x 4400 px. This means we can enhance it two more times. 1x → 512x512px 2x → 1024x1024px 4x → 2048x2048px 8x → 4096x4096px Now, upload the image you downloaded again. This time, we bring the values closer to each other. Second Enhancing Creativity: 4 / Resemblance: -2 Third Enhancing Creativity: 2 / Resemblance: -1 The other values can remain the same. 8. Share what you create! That's it. Now you know everything I know. If you have any questions, don't hesitate to ask. And please share your creations with us. Happy Sunday everyone!
0:20

How to Bring Emojis to Life with AI (Yes, you read that right) 1. Choose the Emoji Wisely Prefer detailed emojis 👨‍🎤 The Man Singer emoji is a good example of this. Face, hair, outfit, mic... The more detailed, the better. 2. Prepare Your Original Image We'll be doing multi-enhancements, so the initial image shouldn't be too large. (I'll explain more about this shortly) I started with a 512x512px image. The smaller the image you start with, the more detail-oriented the enhancer tends to be. I usually use Figma for design and animations. However, you can use any other tool like Canva or Photoshop. Or just download it from somewhere. 3. Upload Your Image Go to Magnific's website and simply drag and drop your image there. 4. Setup the Parameters This is the fun part. You can experiment here to find your own settings or follow the method I used. I start with high creativity and low resemblance values. Depending on how far you want to deviate from the original image, you can increase this contrast. First Enhancing Creativity: 6 / Resemblance: -3 All Parameters Optimized for: Standard Creativity: 6 HDR: 0 (not a fan) Resemblance: -3 Engine: Automatic 5. The Prompt 🪄 Since Magnific uses Stable Diffusion's technology, it uses the same syntax for prompts. But you don't need to write very detailed prompts. Just state what you want to see. The trick here is to use prompt weights. You need to specify the features you want to emphasize like this: Bowie, Portrait photo of a male singer with blue hair, (detailed eyes:1.2), (detailed hair:1.2), (detailed fabric:1.1), (detailed mic:1.1), (realistic skin:1.5), ultra-realistic, 8k You can change the weight values between 1.0 - 2.0 6. Hit that Rainbow Button After a short wait, you'll have a 1024x1024px image. If you like the result, download the image for further enhancements. 7. Reenhancing The system supports up to approximately 4400 x 4400 px. This means we can enhance it two more times. 1x → 512x512px 2x → 1024x1024px 4x → 2048x2048px 8x → 4096x4096px Now, upload the image you downloaded again. This time, we bring the values closer to each other. Second Enhancing Creativity: 4 / Resemblance: -2 Third Enhancing Creativity: 2 / Resemblance: -1 The other values can remain the same. 8. Share what you create! That's it. Now you know everything I know. If you have any questions, don't hesitate to ask. And please share your creations with us. Happy Sunday everyone!

Dogan Ural

225,764 次观看 • 2 年前

BREAKING: Inside $12 Billion Colossal Biosciences® Biosciences + Colossal Spinout 'Astromech' Announces $20M Raise at $3.8 Billion Woolly Mice, Dire Wolves, & AI-Driven Biotech "We are one of the most undervalued companies in the world." "[AI x Biotech] is truly exploding. You're gonna see this Precambrian explosion of new drugs & new therapies that all come from AI-assisted drug design & discovery." Co-Founder & CEO Ben Lamm Up to 50% of all biodiversity is forecast to be lost in the next 25 years. Asian elephants get cancer at 2% to 3%, humans at 24% to 25%. That gap is the thesis behind both companies. Colossal has raised $635M in total to date. CEO Lamm says each round was 2X oversubscribed, including a most recent round planned for $200M that closed at $400M. Six target species, 260-plus employees, 55,000 sqft Texas HQ, & no animal has ever been sold. Astromech is the AI-driven predictive biology startup spun out of Colossal that aims to forecast how biological systems, evolution, & diseases will change over time. Astromech has raised $60M total. $30M in 2025, a $10.5M extension reported in April, & now $20M led by Bob Nelsen with Peak 6, NeoGenesis Capital, Builders VC, & CAZ Investments. Valuation moved from $2B in March to $3.8B today. Co-founded by Lamm & George Church. On the spinouts: "When new ideas & technologies arise that have other applications outside of de-extinction & species preservation, we spin them out or license the technology so our core teams can focus on Colossal's mission." Colossal Spinouts: › Form Bio, 2022, computational life sciences platform › Breaking, plastic degradation using Colossal bioengineering › Astromech, 2026, evolutionary AI › Artificial wombs, next in line, tech expected ready in ~2027, with human fertility applications We cover: › Astromech, AI for Biology › Gene drives, screwworm, and a half trillion dollar invasive species market › Woolly mice from edit design to live animals in 30 days › The Viagen acquisition and 80% cloning efficiency › Artificial wombs, IVF, & germline applications › $635M raised & why every round was oversubscribed › The no-go list on human and primate work 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Ben Lamm, Co-Founder & CEO at Colossal Biosciences (01:07) Inside Colossal's De-Extinction Lab (05:07) Every wall in this lab has a purpose (06:02) The AI idea that could save the planet (08:09) What Colossal is building next (08:28) Revealing Colossal's woolly mice (10:49) Wild requests they get every day (13:35) Colossal's business model (15:07) How Colossal raised $635 million (20:17) How AI is converging with Biotech (22:44) How ancient DNA actually gets to the lab (26:24) The real stats behind Mass Extinction (32:07) Will their animals ever live in the wild? (34:58) Building this company with no background in Biology (41:44) Choosing their earliest backers (52:51) Why they refuse to work on Humans (58:07) Are they secretly working on Aliens?
59:51

BREAKING: Inside $12 Billion Colossal Biosciences® Biosciences + Colossal Spinout 'Astromech' Announces $20M Raise at $3.8 Billion Woolly Mice, Dire Wolves, & AI-Driven Biotech "We are one of the most undervalued companies in the world." "[AI x Biotech] is truly exploding. You're gonna see this Precambrian explosion of new drugs & new therapies that all come from AI-assisted drug design & discovery." Co-Founder & CEO Ben Lamm Up to 50% of all biodiversity is forecast to be lost in the next 25 years. Asian elephants get cancer at 2% to 3%, humans at 24% to 25%. That gap is the thesis behind both companies. Colossal has raised $635M in total to date. CEO Lamm says each round was 2X oversubscribed, including a most recent round planned for $200M that closed at $400M. Six target species, 260-plus employees, 55,000 sqft Texas HQ, & no animal has ever been sold. Astromech is the AI-driven predictive biology startup spun out of Colossal that aims to forecast how biological systems, evolution, & diseases will change over time. Astromech has raised $60M total. $30M in 2025, a $10.5M extension reported in April, & now $20M led by Bob Nelsen with Peak 6, NeoGenesis Capital, Builders VC, & CAZ Investments. Valuation moved from $2B in March to $3.8B today. Co-founded by Lamm & George Church. On the spinouts: "When new ideas & technologies arise that have other applications outside of de-extinction & species preservation, we spin them out or license the technology so our core teams can focus on Colossal's mission." Colossal Spinouts: › Form Bio, 2022, computational life sciences platform › Breaking, plastic degradation using Colossal bioengineering › Astromech, 2026, evolutionary AI › Artificial wombs, next in line, tech expected ready in ~2027, with human fertility applications We cover: › Astromech, AI for Biology › Gene drives, screwworm, and a half trillion dollar invasive species market › Woolly mice from edit design to live animals in 30 days › The Viagen acquisition and 80% cloning efficiency › Artificial wombs, IVF, & germline applications › $635M raised & why every round was oversubscribed › The no-go list on human and primate work 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Ben Lamm, Co-Founder & CEO at Colossal Biosciences (01:07) Inside Colossal's De-Extinction Lab (05:07) Every wall in this lab has a purpose (06:02) The AI idea that could save the planet (08:09) What Colossal is building next (08:28) Revealing Colossal's woolly mice (10:49) Wild requests they get every day (13:35) Colossal's business model (15:07) How Colossal raised $635 million (20:17) How AI is converging with Biotech (22:44) How ancient DNA actually gets to the lab (26:24) The real stats behind Mass Extinction (32:07) Will their animals ever live in the wild? (34:58) Building this company with no background in Biology (41:44) Choosing their earliest backers (52:51) Why they refuse to work on Humans (58:07) Are they secretly working on Aliens?

Molly O’Shea

251,681 次观看 • 26 天前

$ASTS: World Space Business Week President and Chief Strategy Officer Scott Wisniewski Video edited for Scott's interactions only. I also summarize in my own words below. BTW, you're going to love the guy asking the last question... he pretty much sums up the attitude and vibe of legacy players perfectly - Anpanman + AST has had a "cellular first" broadband direct-to-device strategy with focus on MNO operator in mind + We have strategic investors AT&T & Verizon in the US, Vodafone in Europe, Bell Canada in Canada, Rakuten in Japan as well as American Tower and Google + Approach has always been ecosystem-centric, how do we make the service work well for MNOs for their customers + We are a source of revenue, not a cost center for MNOs + Signed definitive commercial agreements with AT&T and Vodafone, other major partners are not far behind + We have over 50 MNOs signed up globally + Building and deploying a constellation is very hard - often tried but rarely successful + Deployed 5x of the largest satellites in LEO + Next generation satellite which is 3x bigger is ready to roll off the factory floor soon + We are working with 3x different launch partners + Plan 13x launches over the next 1.5 years + Expect 5x launches through Q1 2026 + Made Ligado spectrum investment earlier this year + Believe MSS together w/ cellular spectrum is the right strategy + SpaceX's recent spectrum acquisition highlights 2x things, 1) the value of our Ligado spectrum and 2) the size and potential of the direct-to-device market + There will be a tremendous role for satellites in improving and enhancing cellular networks + We believe having large aperture is the right approach for this market + Large aperture = better propagation to the phone, the ability to handle multiple frequencies within the same beam, allows you to serve multiple MNOs and finally gives you a very large pipe to deliver as much service as possible + We leverage existing handsets to sell broadband data based on whatever consumption model the MNO decides to sell to its consumers + We believe in supporting an ecosystem that is very supportive and friendly to our MNO partners + Vodafone invested in AST in 2019 (series B), 2021 (IPO), 2024 (Convert + Commercial Prepayments) - so 3x times and they recently formed a go-to-market joint venture in Europe where we have signed 21 of the 27 member states already + For AST, it's about the technology, layering in the spectrum and making it all work seamlessly for the MNOs + Satellites and space has not been relevant to MNOs in the past, however we believe our technology can provide connectivity to 6 billion existing devices in a unique and compelling way + We're deploying satellites in a handful of launches later in 2025 and many more in 2026 + We're very excited about the risk profile of what we're doing + Big satellite strategy is right + MNO partner strategy is right + Cellular + MSS spectrum strategy is right + Vertically integrated production strategy is right + You can't build a constellation by purchase order (outsourcing) + We think this is going to be a big market + We think that having access to one of the major MSS spectrum bands (Ligado) covering the most valuable wireless market in the world (USA) is an incredible strategic position + Having ecosystem of +50 MNOs globally is a strong strategic position to tap up to 6 billion mobile phones in the market + We think cellular broadband is the right approach and have executed well with the support of our MNO partners
8:55

$ASTS: World Space Business Week President and Chief Strategy Officer Scott Wisniewski Video edited for Scott's interactions only. I also summarize in my own words below. BTW, you're going to love the guy asking the last question... he pretty much sums up the attitude and vibe of legacy players perfectly - Anpanman + AST has had a "cellular first" broadband direct-to-device strategy with focus on MNO operator in mind + We have strategic investors AT&T & Verizon in the US, Vodafone in Europe, Bell Canada in Canada, Rakuten in Japan as well as American Tower and Google + Approach has always been ecosystem-centric, how do we make the service work well for MNOs for their customers + We are a source of revenue, not a cost center for MNOs + Signed definitive commercial agreements with AT&T and Vodafone, other major partners are not far behind + We have over 50 MNOs signed up globally + Building and deploying a constellation is very hard - often tried but rarely successful + Deployed 5x of the largest satellites in LEO + Next generation satellite which is 3x bigger is ready to roll off the factory floor soon + We are working with 3x different launch partners + Plan 13x launches over the next 1.5 years + Expect 5x launches through Q1 2026 + Made Ligado spectrum investment earlier this year + Believe MSS together w/ cellular spectrum is the right strategy + SpaceX's recent spectrum acquisition highlights 2x things, 1) the value of our Ligado spectrum and 2) the size and potential of the direct-to-device market + There will be a tremendous role for satellites in improving and enhancing cellular networks + We believe having large aperture is the right approach for this market + Large aperture = better propagation to the phone, the ability to handle multiple frequencies within the same beam, allows you to serve multiple MNOs and finally gives you a very large pipe to deliver as much service as possible + We leverage existing handsets to sell broadband data based on whatever consumption model the MNO decides to sell to its consumers + We believe in supporting an ecosystem that is very supportive and friendly to our MNO partners + Vodafone invested in AST in 2019 (series B), 2021 (IPO), 2024 (Convert + Commercial Prepayments) - so 3x times and they recently formed a go-to-market joint venture in Europe where we have signed 21 of the 27 member states already + For AST, it's about the technology, layering in the spectrum and making it all work seamlessly for the MNOs + Satellites and space has not been relevant to MNOs in the past, however we believe our technology can provide connectivity to 6 billion existing devices in a unique and compelling way + We're deploying satellites in a handful of launches later in 2025 and many more in 2026 + We're very excited about the risk profile of what we're doing + Big satellite strategy is right + MNO partner strategy is right + Cellular + MSS spectrum strategy is right + Vertically integrated production strategy is right + You can't build a constellation by purchase order (outsourcing) + We think this is going to be a big market + We think that having access to one of the major MSS spectrum bands (Ligado) covering the most valuable wireless market in the world (USA) is an incredible strategic position + Having ecosystem of +50 MNOs globally is a strong strategic position to tap up to 6 billion mobile phones in the market + We think cellular broadband is the right approach and have executed well with the support of our MNO partners

Anp🅰️nman

66,257 次观看 • 1 年前

A few words about the MANTRA | The EVM L1 for RWAs situation — from our perspective. BlockHunters has been a validator and community builder for MANTRA since even BlockHunters was LIVE. We’ve supported the mission of bridging real-world finance with onchain infrastructure, and we’ve witnessed the team’s resilience and responsiveness firsthand. This recent period has tested the strength of the community, but we believe it also highlights MANTRA’s willingness to listen, evolve, and act with integrity. We stand behind the project, its leadership, and its future — and we’re proud to continue building alongside them. Two weeks ago, the price of $OM — the native token of MANTRA Chain — suddenly crashed. People were confused and upset. Many thought the MANTRA team might have sold tokens, causing the drop. But according to current statements from the team, that is not what happened. What actually occurred was a liquidation cascade on centralized exchanges. That means some people who had borrowed money to hold $OM were automatically forced to sell when the price dipped — and that selling triggered more selling, like a chain reaction. The end result? A fast and painful crash. Understandably, the community was shaken. In response, MANTRA’s founder JP Mullin has made a public and symbolic commitment: he’s burning all of his 150 million $OM team tokens — permanently removing them from circulation to restore trust. BREAKING DOWN THE SITUATION – COMMUNITY-SOURCED SUMMARY A respected community member, Crypto Fundamentalist, shared a helpful breakdown of the current state of the $OM situation, based on JP’s public updates and community communications. Main takeaways: - No sales by the Mantra team during the price crash. - Evidence of large liquidations on centralized exchanges triggering a cascade. - A token buyback and supply burn program is coming. - JP has committed to burning his own allocation. - A dashboard with live token bucket balances is in the works. - Further transparency reports (including fundraising history) are expected. - Legal investigations are ongoing. - More clarity to come, especially from exchange-side data. 150 MILLION OM BURN – SYMBOLIC AND STRATEGIC JP Mullin has committed to burning his full 150 million OM token allocation. These tokens were originally staked at MANTRA’s mainnet launch in October 2024 to help secure the network. Here’s how it’s going down: - The tokens are currently unstaking - They will be sent to the burn address on April 29, 2025 - This burn will reduce the total supply of OM by 8.24% ON-CHAIN EFFECTS: APR BOOST FOR STAKERS Once the burn is complete: - Total Supply: Decreases from 1.82B → 1.67B OM - Staked Tokens: Decrease from 571.8M → 421.8M OM - Bonded Ratio: Drops from 31.47% → 25.30% - APR Increases: Stakers benefit directly from higher yields This move improves tokenomics while rewarding long-term participants in the ecosystem. TOKEN BUYBACK PROGRAM – STILL TO BE ANNOUNCED MANTRA is also planning an official token buyback and burn program, potentially targeting an additional 150 million OM. This would bring the total burn to 300 million OM, further reducing supply. While details are still in development, this initiative is expected to strengthen OM’s position in the market. WHAT IS MANTRA? MANTRA is a regulatory-compliant, real-world asset (RWA) Layer 1 blockchain. Built for developers, institutions, and the next wave of tokenized finance, MANTRA offers: - RWA tokenization infrastructure - Compliance modules and permissionless access - Interoperability with major blockchains MANTRA holds a VARA license from Dubai to operate as a Virtual Asset Exchange, Broker-Dealer, and Investment Management entity. JP'S OFFICIAL STATEMENT (25th April 2025) “This has been humbling. And heartbreaking. We need to take a moment to regroup and make sound decisions. I promise that our team won't rest until we've made this right.Every day, we continue to investigate what happened and develop plans to prevent it from happening again. Next week at TOKEN2049 in Dubai, I’ll be speaking and releasing concrete next steps for MANTRA — including enhanced governance, transparency reports, and the full execution of my token burn.We’re listening. We’re working around the clock. And we’re not backing down from the responsibility we owe to this community.”— JP Mullin 🫡🕉️ WE BACK MANTRA At BlockHunters, we’ve had the privilege of working closely with - across multiple collaborations and community efforts. Through the ups and downs, one thing has remained clear: MANTRA is building for the long term. Their transparent handling of recent events, commitment to decentralization, and push for token-holder alignment earns our full support. We stand behind MANTRA and their mission to redefine the tokenized asset space. Last year, we had the pleasure of welcoming JP on our podcast — long before this incident — for a deep dive into MANTRA’s vision, regulatory alignment, and the future of tokenized finance. 🫡🕉️
1:37

A few words about the MANTRA | The EVM L1 for RWAs situation — from our perspective. BlockHunters has been a validator and community builder for MANTRA since even BlockHunters was LIVE. We’ve supported the mission of bridging real-world finance with onchain infrastructure, and we’ve witnessed the team’s resilience and responsiveness firsthand. This recent period has tested the strength of the community, but we believe it also highlights MANTRA’s willingness to listen, evolve, and act with integrity. We stand behind the project, its leadership, and its future — and we’re proud to continue building alongside them. Two weeks ago, the price of $OM — the native token of MANTRA Chain — suddenly crashed. People were confused and upset. Many thought the MANTRA team might have sold tokens, causing the drop. But according to current statements from the team, that is not what happened. What actually occurred was a liquidation cascade on centralized exchanges. That means some people who had borrowed money to hold $OM were automatically forced to sell when the price dipped — and that selling triggered more selling, like a chain reaction. The end result? A fast and painful crash. Understandably, the community was shaken. In response, MANTRA’s founder JP Mullin has made a public and symbolic commitment: he’s burning all of his 150 million $OM team tokens — permanently removing them from circulation to restore trust. BREAKING DOWN THE SITUATION – COMMUNITY-SOURCED SUMMARY A respected community member, Crypto Fundamentalist, shared a helpful breakdown of the current state of the $OM situation, based on JP’s public updates and community communications. Main takeaways: - No sales by the Mantra team during the price crash. - Evidence of large liquidations on centralized exchanges triggering a cascade. - A token buyback and supply burn program is coming. - JP has committed to burning his own allocation. - A dashboard with live token bucket balances is in the works. - Further transparency reports (including fundraising history) are expected. - Legal investigations are ongoing. - More clarity to come, especially from exchange-side data. 150 MILLION OM BURN – SYMBOLIC AND STRATEGIC JP Mullin has committed to burning his full 150 million OM token allocation. These tokens were originally staked at MANTRA’s mainnet launch in October 2024 to help secure the network. Here’s how it’s going down: - The tokens are currently unstaking - They will be sent to the burn address on April 29, 2025 - This burn will reduce the total supply of OM by 8.24% ON-CHAIN EFFECTS: APR BOOST FOR STAKERS Once the burn is complete: - Total Supply: Decreases from 1.82B → 1.67B OM - Staked Tokens: Decrease from 571.8M → 421.8M OM - Bonded Ratio: Drops from 31.47% → 25.30% - APR Increases: Stakers benefit directly from higher yields This move improves tokenomics while rewarding long-term participants in the ecosystem. TOKEN BUYBACK PROGRAM – STILL TO BE ANNOUNCED MANTRA is also planning an official token buyback and burn program, potentially targeting an additional 150 million OM. This would bring the total burn to 300 million OM, further reducing supply. While details are still in development, this initiative is expected to strengthen OM’s position in the market. WHAT IS MANTRA? MANTRA is a regulatory-compliant, real-world asset (RWA) Layer 1 blockchain. Built for developers, institutions, and the next wave of tokenized finance, MANTRA offers: - RWA tokenization infrastructure - Compliance modules and permissionless access - Interoperability with major blockchains MANTRA holds a VARA license from Dubai to operate as a Virtual Asset Exchange, Broker-Dealer, and Investment Management entity. JP'S OFFICIAL STATEMENT (25th April 2025) “This has been humbling. And heartbreaking. We need to take a moment to regroup and make sound decisions. I promise that our team won't rest until we've made this right.Every day, we continue to investigate what happened and develop plans to prevent it from happening again. Next week at TOKEN2049 in Dubai, I’ll be speaking and releasing concrete next steps for MANTRA — including enhanced governance, transparency reports, and the full execution of my token burn.We’re listening. We’re working around the clock. And we’re not backing down from the responsibility we owe to this community.”— JP Mullin 🫡🕉️ WE BACK MANTRA At BlockHunters, we’ve had the privilege of working closely with - across multiple collaborations and community efforts. Through the ups and downs, one thing has remained clear: MANTRA is building for the long term. Their transparent handling of recent events, commitment to decentralization, and push for token-holder alignment earns our full support. We stand behind MANTRA and their mission to redefine the tokenized asset space. Last year, we had the pleasure of welcoming JP on our podcast — long before this incident — for a deep dive into MANTRA’s vision, regulatory alignment, and the future of tokenized finance. 🫡🕉️

BlockHunters

61,227 次观看 • 1 年前

I played Clair Obscur Expedition 33 for 60+ hours, defeated all the superbosses and here is my review: -2 graphic modes on PS5 -Many options (Motion Blur, Film Grain, Chromatic Aberration and more) -Played the game on the PS5 in performance mode -Solid 60fps with great picture quality -Very fast loading times -Minimal hud design -Played on the normal difficulty (was just right) -You can change the difficulty anytime (up and down) -The visuals and art direction in this game are insane, trust me -Every new location looks stunning and tells a story -The art direction is so unreal but also so authentic at the same time, stunnig work, the art director should get a raise for this -THE VOICE ACTING is also top tier, every character is brought to life with so much passion and love -The dialogue quality is also amazing and really reminded me of Naughty Dog games -How the characters behave and communicate with each other is simply lifelike -The characters also have complex personalities -Some very dark themes and overall a very mature story (death/loss, love, swearing, blood and gore) -The story is amazing and remains exciting until the very end -Some insane "holy shit" story moments -The game is more linear with some open zones and one massive overworld -I would compare it to Final Fantasy 10 in a very good way -There are also some beautiful fixed camera angles that took me right back to that time -The best overworld map out there, the size is MASSIVE and full of content (hidden areas, superbosses, shortcuts, lore and more) -You can camp everywhere on the map -Camp is your hub that will change overtime (extra dialogue, new NPCs, side content, listen to music and more) -You can level up your relationships with various characters -Romances are also a thing -Exploration is very rewarding, no minimap works great -Dedicated jump button and no fall damage is a huge win -There are so many cool things to collect -The game will respect your time, no long walks and good checkpoints -New outfits and weapons will look different (also in cutscenes) -You can skip cutscenes before boss attempts -The combat is super fun and a mix of Persona, Final Fantasy 10 and Legend of Dragoon -One button press combat is just stunning and will flow over time -You can see every enemy before the fight, quick in and out -Some of the boss fights are gigantic with insane attacks and some stunning "From Software boss arenas" (no joke) -The enemy variety is great with some terrifying creature design -The build variety is also crazy with so many combinations -Some of the late game bosses and especially the superbosses are no joke -Soundtrack is insane and every track is a banger -Different battle themes, boss themes, secret boss themes and many more -Some of the tracks especially in the emotional scenes hit me so hard -Game is super polished but I've encountered some small bugs (sound disappear, could no longer jump and some other small things) -Bugs got easy fixed with a reload (day 1 patch could fix that) -Not a fan of some jumping puzzles, but there are optional -Skill management becomes a little bit confusing as the game progresses (menu design could be better) -Would love a mechanic to kill lower level enemies fast and quick -New game plus on day 1 (with extra stuff) is amazing -The game is made by around 30 people, 30 hours of main story, 30 hours of bonus content, insane number of outfits, story focused, no microtransactions bullshit, new game plus mode on day 1 and a price tag of around 50 bucks, need I say more This game is brimming with attention to detail and is a true passion project by fans for fans. The developers may not have had the biggest budget, but they had a clear vision and the result is simply outstanding. My Verdict: 9.5/10 #ClairObscurExpedition33 Clair Obscur: Expedition 33 Shuhei Yoshida
0:20

I played Clair Obscur Expedition 33 for 60+ hours, defeated all the superbosses and here is my review: -2 graphic modes on PS5 -Many options (Motion Blur, Film Grain, Chromatic Aberration and more) -Played the game on the PS5 in performance mode -Solid 60fps with great picture quality -Very fast loading times -Minimal hud design -Played on the normal difficulty (was just right) -You can change the difficulty anytime (up and down) -The visuals and art direction in this game are insane, trust me -Every new location looks stunning and tells a story -The art direction is so unreal but also so authentic at the same time, stunnig work, the art director should get a raise for this -THE VOICE ACTING is also top tier, every character is brought to life with so much passion and love -The dialogue quality is also amazing and really reminded me of Naughty Dog games -How the characters behave and communicate with each other is simply lifelike -The characters also have complex personalities -Some very dark themes and overall a very mature story (death/loss, love, swearing, blood and gore) -The story is amazing and remains exciting until the very end -Some insane "holy shit" story moments -The game is more linear with some open zones and one massive overworld -I would compare it to Final Fantasy 10 in a very good way -There are also some beautiful fixed camera angles that took me right back to that time -The best overworld map out there, the size is MASSIVE and full of content (hidden areas, superbosses, shortcuts, lore and more) -You can camp everywhere on the map -Camp is your hub that will change overtime (extra dialogue, new NPCs, side content, listen to music and more) -You can level up your relationships with various characters -Romances are also a thing -Exploration is very rewarding, no minimap works great -Dedicated jump button and no fall damage is a huge win -There are so many cool things to collect -The game will respect your time, no long walks and good checkpoints -New outfits and weapons will look different (also in cutscenes) -You can skip cutscenes before boss attempts -The combat is super fun and a mix of Persona, Final Fantasy 10 and Legend of Dragoon -One button press combat is just stunning and will flow over time -You can see every enemy before the fight, quick in and out -Some of the boss fights are gigantic with insane attacks and some stunning "From Software boss arenas" (no joke) -The enemy variety is great with some terrifying creature design -The build variety is also crazy with so many combinations -Some of the late game bosses and especially the superbosses are no joke -Soundtrack is insane and every track is a banger -Different battle themes, boss themes, secret boss themes and many more -Some of the tracks especially in the emotional scenes hit me so hard -Game is super polished but I've encountered some small bugs (sound disappear, could no longer jump and some other small things) -Bugs got easy fixed with a reload (day 1 patch could fix that) -Not a fan of some jumping puzzles, but there are optional -Skill management becomes a little bit confusing as the game progresses (menu design could be better) -Would love a mechanic to kill lower level enemies fast and quick -New game plus on day 1 (with extra stuff) is amazing -The game is made by around 30 people, 30 hours of main story, 30 hours of bonus content, insane number of outfits, story focused, no microtransactions bullshit, new game plus mode on day 1 and a price tag of around 50 bucks, need I say more This game is brimming with attention to detail and is a true passion project by fans for fans. The developers may not have had the biggest budget, but they had a clear vision and the result is simply outstanding. My Verdict: 9.5/10 #ClairObscurExpedition33 Clair Obscur: Expedition 33 Shuhei Yoshida

GermanStrands

800,379 次观看 • 1 年前

Announcing the DVM Terminal Presale! 01/ We are excited to formally announce the next step in our journey: our AI and Signal based trading Terminal. See ALL details on our website, including product, tech, deposit address, and tech documentation: Deposit Address (SOL only): 4pyVRFX56MdqtREcxWnf6XuEGfRNCQaKm1LA4xmHeccv By contributing, you agree to our Terms & Privacy Policy – full docs on site. 02/ We are building ‘DVM Terminal’, a signal and AI powered trading platform for the Solana trenches (initially). The first multi-agent AI trading terminal designed as an institutional-grade dashboard – turning market noise into actionable alpha with agent summaries, live signals, rigid filters, and a full multi-agent system. 03/ The problem. Trench hunting is far too inefficient with real data and insights lacking. - Dashboards are noisy (not even sortable), - No AI agents (in an AI world) - No narratives (a critical component to a thesis), - VERY limited signals (only DB/DS), - No advanced trading (no TP, SL, or VWAP), - No portfolio alert/management system post-trade etc. - The list goes on… Products from major competitors are all just homogeneous, even down to the 3-frame design. We have to piece everything together like broken lego blocks, building a weak matrix from existing platforms, X, FNFs, telegram and discord for little to no alpha. 04/ The solution & moat. We rebuild this from the ground up, leveraging signals and AI. - Clean institutional-like dashboards (we can sort and navigate thru a proper terminal, like Bloomberg or Messari) - AI agents (thank goodness for intelligence, distilling all the important info upfront across 2k+ tokens/day) - A Narrative engine (no need to ask “what is this token about?”; additionally, our engine can identify the newest metas like AI, ICM, Cards, etc.) - 100s of value-add Signals overlaid live on charts (momentum, smart money, sentiment, event data; all of it; tell us what’s happening in real-time) - Advanced trading system (finally, SL, TP, VWAP etc.) - Live portfolio monitoring (AI will give us pertinent live info on our holdings, so we can go live life and not look at screens all day) - All in one place. At a higher-level, our advantage will be managing the massive on/off-chain data pipeline being processed by thousands or millions of context-aware AI agents that recognize patterns, filter noise and deliver only the most actionable insights to a trader with which it can execute a trade effectively. 05/ The opportunity. The Industry leader on Solana makes $600m+ in fees annually, with total industry near $1b on Solana alone, according to Adam. Yet, the entire industry gives us total burnout, fragmented data, either little info or info overload, no real signals, no narratives, no personalized AI-driven strategies, and zero incentives (like buybacks or a flywheel). We’ll flip the script, designing a high-powered scalable signal and AI driven intelligence platform with a flywheel (50-100% fee buy-back & burn). Simply put, we want to be tops. 06/ Development. Our product is MVP. We are building this to scale beyond Solana, into multi-chain. V1 is expected in 4-6 weeks. Our approach to building is an open feedback loop with community members, building to the demands of our users. 07/ Pre-sale terms & Valuation. We are offering 50% public sale, with min $100, no max. Ending valuation is susceptible to change based on amount raised, but will be fixed at 2x raise - i.e. $1m raised=$2m val, $50m raised=$100m val. We are seeking to raise $25m on a $50m valuation, which represents 1% of Solana bot market-share. At TGE event, expect ~65% of our tokens to be floating (or outstanding), with 25% in treasury and 10% of the team allocation locked. Tokens are expected to be distributed just ahead of v1 rollout. Again, find more details on our webpage. 08/ Tailwinds. AI input costs are declining 90%/yr also, so the operational model could become very accretive over time, as we scale our tech to other chains. Solana outputs the most tokens (~35k per day), so we start here, where the challenge is the greatest. 09/ Advisors. Big thanks to our advisors, who’ve been part of this community since inception. Austin Barack, JK 🛡️, cryptic, Tachi, , ZoeyLoo and Chetan Badhe. 10/ The end. Thank you for your consideration; and make sure the SOL address posted here is the same as on our website.
0:52

Announcing the DVM Terminal Presale! 01/ We are excited to formally announce the next step in our journey: our AI and Signal based trading Terminal. See ALL details on our website, including product, tech, deposit address, and tech documentation: Deposit Address (SOL only): 4pyVRFX56MdqtREcxWnf6XuEGfRNCQaKm1LA4xmHeccv By contributing, you agree to our Terms & Privacy Policy – full docs on site. 02/ We are building ‘DVM Terminal’, a signal and AI powered trading platform for the Solana trenches (initially). The first multi-agent AI trading terminal designed as an institutional-grade dashboard – turning market noise into actionable alpha with agent summaries, live signals, rigid filters, and a full multi-agent system. 03/ The problem. Trench hunting is far too inefficient with real data and insights lacking. - Dashboards are noisy (not even sortable), - No AI agents (in an AI world) - No narratives (a critical component to a thesis), - VERY limited signals (only DB/DS), - No advanced trading (no TP, SL, or VWAP), - No portfolio alert/management system post-trade etc. - The list goes on… Products from major competitors are all just homogeneous, even down to the 3-frame design. We have to piece everything together like broken lego blocks, building a weak matrix from existing platforms, X, FNFs, telegram and discord for little to no alpha. 04/ The solution & moat. We rebuild this from the ground up, leveraging signals and AI. - Clean institutional-like dashboards (we can sort and navigate thru a proper terminal, like Bloomberg or Messari) - AI agents (thank goodness for intelligence, distilling all the important info upfront across 2k+ tokens/day) - A Narrative engine (no need to ask “what is this token about?”; additionally, our engine can identify the newest metas like AI, ICM, Cards, etc.) - 100s of value-add Signals overlaid live on charts (momentum, smart money, sentiment, event data; all of it; tell us what’s happening in real-time) - Advanced trading system (finally, SL, TP, VWAP etc.) - Live portfolio monitoring (AI will give us pertinent live info on our holdings, so we can go live life and not look at screens all day) - All in one place. At a higher-level, our advantage will be managing the massive on/off-chain data pipeline being processed by thousands or millions of context-aware AI agents that recognize patterns, filter noise and deliver only the most actionable insights to a trader with which it can execute a trade effectively. 05/ The opportunity. The Industry leader on Solana makes $600m+ in fees annually, with total industry near $1b on Solana alone, according to Adam. Yet, the entire industry gives us total burnout, fragmented data, either little info or info overload, no real signals, no narratives, no personalized AI-driven strategies, and zero incentives (like buybacks or a flywheel). We’ll flip the script, designing a high-powered scalable signal and AI driven intelligence platform with a flywheel (50-100% fee buy-back & burn). Simply put, we want to be tops. 06/ Development. Our product is MVP. We are building this to scale beyond Solana, into multi-chain. V1 is expected in 4-6 weeks. Our approach to building is an open feedback loop with community members, building to the demands of our users. 07/ Pre-sale terms & Valuation. We are offering 50% public sale, with min $100, no max. Ending valuation is susceptible to change based on amount raised, but will be fixed at 2x raise - i.e. $1m raised=$2m val, $50m raised=$100m val. We are seeking to raise $25m on a $50m valuation, which represents 1% of Solana bot market-share. At TGE event, expect ~65% of our tokens to be floating (or outstanding), with 25% in treasury and 10% of the team allocation locked. Tokens are expected to be distributed just ahead of v1 rollout. Again, find more details on our webpage. 08/ Tailwinds. AI input costs are declining 90%/yr also, so the operational model could become very accretive over time, as we scale our tech to other chains. Solana outputs the most tokens (~35k per day), so we start here, where the challenge is the greatest. 09/ Advisors. Big thanks to our advisors, who’ve been part of this community since inception. Austin Barack, JK 🛡️, cryptic, Tachi, , ZoeyLoo and Chetan Badhe. 10/ The end. Thank you for your consideration; and make sure the SOL address posted here is the same as on our website.

Deep Value Memetics

23,075 次观看 • 10 个月前

Made $313 → $2,382,780 in 4 Days Using a Claude AI Bot on Polymarket. 26,738 trades. 98% win rate. Full blockchain proof. Every single trade verifiable on-chain. I've made the exact step-by-step guide to build this Claude Polymarket bot from scratch. You've been trading for 3 years. Still red. He gave Claude $313. Woke up rich. Free for 24 hours. To get this Setup guide: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) Full 2-hour video tutorial attached. Every single click and command explained. Beginner to running bot. Now let me break down exactly how this works. Save this post. This is the most important trading breakdown you'll ever read. ↓ Let's start with the number that should make you sick. $313. That's what this wallet started with. Not $50,000. Not $10,000. Not even $1,000. $313. Less than your monthly Netflix + Uber Eats + Spotify combined. 4 months later: $2,382,780.80. That's a 7,942x return. While you spent those same 4 months staring at charts, drawing trendlines, panic selling, revenge trading, and ending the month exactly where you started. Minus the $200 you lost on that "sure thing." Same 4 months. Same market. Same opportunities. He had a bot. You had feelings. Guess who won. Save this post right now. What I'm about to explain is the exact mechanism behind every dollar of that $2.38M. Follow Himanshu Kumar so you don't miss the rest. ↓ How Polymarket actually works and why bots print money on it. Polymarket is a prediction market. Will BTC be higher in 15 minutes? Yes or No. Will the Fed raise rates? Yes or No. You buy shares between $0 and $1. If you're right, your share settles at $1. If you're wrong, it settles at $0. Simple. Now here's where it gets interesting. Polymarket updates its prices SLOWER than the real market moves. When BTC drops 0.6% on Binance, Polymarket still shows old odds for about 2.7 seconds. 2.7 seconds. In those 2.7 seconds, the bot already knows the outcome. It's not predicting. It's not guessing. It's reading information that already exists and trading before Polymarket catches up. That's not trading. That's collecting free money with a 2.7 second head start. And you're over there using a 15-indicator TradingView setup trying to "predict" where BTC goes next. The bot doesn't predict anything. It just reads faster than you. That's the entire edge. Save this post because if you understand this one concept you understand how millionaires are being made on Polymarket right now. Follow Himanshu Kumar for more breakdowns like this. ↓ Let me walk you through one single trade. A new 15-minute BTC contract opens on Polymarket. Odds are 50/50. Fair price. 10 minutes in, BTC drops 0.6% on Binance. Hard, fast move. The real probability of BTC being lower at expiry is now about 78%. Polymarket still shows 54/46. The bot sees this instantly. Binance WebSocket feed. Under 50ms latency. The edge is 24 percentage points. On a binary contract, that's basically free money. Bot calculates position size using Kelly Criterion. Executes via Polymarket's API. Done. Within 2-3 seconds, other participants update the odds. 54/46 moves toward 78/22. Bot either exits for immediate profit or holds to resolution. Either way, the trade was entered with near-certainty of a positive outcome. Now repeat this 200-500 times per day. $313 → $2,382,780 in 4 months. Not magic. Not prediction. Not luck. Industrial-scale exploitation of a market inefficiency that still exists today. And you're still placing one manual trade per day and calling yourself a "trader." This is the mechanism behind every single dollar. Bookmark this post so you can study it again. Follow Himanshu Kumar because I'm breaking down each strategy separately. ↓ There are 4 strategies. Not all Claude bots do the same thing. Strategy 1: Latency Arbitrage. Win rate: 85-98%. What 0x8dxd used. Monitor Binance price feeds. When Polymarket odds lag behind reality by 3-5%, buy the correct side before the market corrects. No forecasting. No model. No sentiment analysis. Pure speed. You're not guessing. You're reading an outcome that has already happened. Strategy 2: Oracle Arbitrage. Win rate: 78-85%. Chainlink oracle price feeds occasionally diverge from Polymarket's implied prices. When they do, the settlement direction is known. Fewer opportunities. Higher certainty when they appear. Strategy 3: News-Driven Trading. Win rate: 60-75%. Claude ingests real-time news. Government filings. Central bank statements. On-chain data. Assesses probability impact before retail traders even finish reading the headline. Lower win rate because interpretation introduces uncertainty. But works on ANY market category, not just crypto. Strategy 4: Market Making. Return: 2-5% per month. Place buy and sell orders on both sides. Capture the spread. No prediction required. Most consistent. Hardest to blow up. Compounds aggressively over time. You didn't even know there were 4 strategies. You thought "trading bot" meant one thing. That's how far behind you are. 4 strategies. 4 different risk profiles. 4 ways to make money while you sleep. Save this post. Follow Himanshu Kumar for the deep dive into each one. ↓ The timeline that should haunt you. December 2025: Bot launches with $313. Nobody notices. January 6, 2026: Wallet hits ~$438,000. 140x in 30 days. 6,615 predictions. 98% win rate. Finbold reports it. Crypto Twitter explodes. March 10, 2026: Head-to-head test. Claude bot: $1,000 → $14,216 in 48 hours. +1,322%. OpenClaw bot: fully liquidated. Same market. Same timeframe. Claude won because of better risk management. OpenClaw died because it overleveraged. March 16, 2026: Someone trains a swarm model on 3 years of NBA data. Result: +$1.49M on Polymarket. April 2026: 0x8dxd final verified balance: $2,382,780.80. 26,738 trades. 4 months. This all happened while you were "waiting for the right time to start." The right time was December 2025. The second best time is right now. But you'll probably wait until it's too late. That's what you always do. Every date on this timeline is a day you could have started but didn't. Save this post. Follow Himanshu Kumar so you at least start today. ↓ Why Claude and not ChatGPT? This isn't opinion. It's data. March 2026 head-to-head: Claude bot: +1,322%. OpenClaw (GPT-based): liquidated. Same prompt. Same market. Same conditions. Researchers found Claude's code included: > More defensive edge cases > More conservative default parameters > Better error handling > More legible code for debugging > Proper Kelly Criterion position sizing > Hard drawdown kill switches ChatGPT's code overleveraged into a losing sequence and couldn't recover. Claude's code sized positions conservatively, stopped trading when drawdown thresholds hit, and survived to compound another day. The difference between +1,322% and liquidation wasn't the strategy. It was the risk management. And Claude writes better risk management than ChatGPT. That's not a debate. That's a $15,216 difference in 48 hours. But sure, keep using ChatGPT because "everyone uses it." Everyone's broke too. Coincidence? Stop using the popular tool. Start using the profitable one. Save this post. Follow Himanshu Kumar for more Claude vs ChatGPT comparisons with real data. ↓ Why humans lose to bots. Every single time. Same strategy. Same market. Same period. Bots: ~$206,000 profit. Humans: ~$100,000 profit. 2x gap. Same strategy. Here's why: 1. Late entries. By the time you identify the lag, verify your reasoning, and click buy, the 2.7 second window is gone. The bot executes in under 100ms. You execute in 30 seconds. The opportunity doesn't exist for 30 seconds. 2. Emotional sizing. You oversize when "confident." Undersize when scared. Exact opposite of Kelly math. The bot sizes based on edge. Every time. No feelings. 3. Fatigue. You make worse decisions at hour 6 than at hour 1. The bot makes the same decision at hour 72 that it made at hour 1. 4. Drawdown psychology. After 3 losses you either panic quit or double down trying to recover. Both destroy capital. The bot has a kill switch. It stops. It doesn't feel anything. You're not competing with other humans anymore. You're competing with machines that don't sleep, don't feel, don't flinch. And you're losing. The data doesn't lie. Humans lose to bots 2x on the same strategy. Save this post. Follow Himanshu Kumar for the complete bot setup that removes you from the equation. ↓ What can go wrong. Because I'm not going to lie to you. Most people who build this bot will NOT 7,942x their money. Some will lose their initial capital. Here's what can kill you: Edge compression. The arbitrage window was 12 seconds in 2024. It's 2.7 seconds now. It's shrinking. At some point it hits zero for retail operators. This is a time-limited opportunity. Not a permanent income stream. Rule changes. Polymarket can change contract mechanics, settlement rules, or API terms overnight. What worked yesterday can lose money tomorrow. Risk management bugs. A 98% win rate strategy with broken position sizing will blow up your account on the one losing trade. The March 2026 experiment proved this. Claude survived. OpenClaw got liquidated. Same strategy. Different risk management. That's why the 2-hour video tutorial walks through every single risk parameter. Because the strategy doesn't kill you. Bad risk management kills you. This is the section most "gurus" delete. I'm keeping it because I'd rather you make money safely than blow up and blame me. Save this post. Follow Himanshu Kumar for honest breakdowns, not hype. ↓ The step-by-step to build your own. Step 1: Set up a Polymarket wallet. Fund with USDC via Polygon network. Start with $100-$300 for testing. Step 2: Generate API credentials. CLOB API key from docs.polymarket .com. Store private key in environment variable. Never hardcode it. Never share it. Step 3: Prompt Claude to build the bot. Use Claude Code for best results. It reads your filesystem, executes code, and iterates on errors autonomously. Step 4: Paper trade for at least one week. Minimum 200 completed trades. Win rate must be above 70% before going live. This step is NOT optional. Step 5: Configure risk management. Max single position: 8% of portfolio. Daily loss limit: -20% with auto halt. Kill switch at -40% drawdown. Telegram alerts on every threshold. Step 6: Go live small. $1-5 per trade. Watch every trade for first week. Compare to paper results. Scale only on evidence. Skip steps 4 and 5 and you will lose your money. That's not a warning. That's a guarantee. This is your complete build guide. Save this post. Follow Himanshu Kumar because I'll be posting the exact Claude prompts for each strategy. ↓ The edge exists right now. Not next month. Not "when you're ready." Right now. The arbitrage window is 2.7 seconds. It was 12 seconds in 2024. It's shrinking every week. Every day you wait, more bots enter the space. The window gets smaller. Your potential returns get smaller. The bots already running have a compounding advantage. They're making money today that they'll use to make more money tomorrow. You're reading about it and telling yourself "I'll look into this next weekend." That's what you said last weekend. And the weekend before that. The best time to start was 6 months ago. The second best time is today. But you already know you're going to bookmark this and never open it again. Prove me wrong. ↓ Full 2-hour video tutorial attached. Every single click. Every command. Every parameter. From zero to running bot. Beginner friendly. Nothing skipped. A similar bot has already earned $2,382,780. Full blockchain proof in the article below. The video is free. The tools are free. The edge still exists. The only thing that costs money is another month of doing nothing while bots eat every opportunity you're too slow to catch. Follow Himanshu Kumar for the complete series covering every automated income stream using Claude. Prediction markets are just the beginning. Save this post. Bookmark it. Screenshot it. Whatever you need to do so you actually watch the video and build the bot instead of just reading about people who did. You Must Follow me Himanshu Kumar, so i can send you DM.
2:22:35

Made $313 → $2,382,780 in 4 Days Using a Claude AI Bot on Polymarket. 26,738 trades. 98% win rate. Full blockchain proof. Every single trade verifiable on-chain. I've made the exact step-by-step guide to build this Claude Polymarket bot from scratch. You've been trading for 3 years. Still red. He gave Claude $313. Woke up rich. Free for 24 hours. To get this Setup guide: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) Full 2-hour video tutorial attached. Every single click and command explained. Beginner to running bot. Now let me break down exactly how this works. Save this post. This is the most important trading breakdown you'll ever read. ↓ Let's start with the number that should make you sick. $313. That's what this wallet started with. Not $50,000. Not $10,000. Not even $1,000. $313. Less than your monthly Netflix + Uber Eats + Spotify combined. 4 months later: $2,382,780.80. That's a 7,942x return. While you spent those same 4 months staring at charts, drawing trendlines, panic selling, revenge trading, and ending the month exactly where you started. Minus the $200 you lost on that "sure thing." Same 4 months. Same market. Same opportunities. He had a bot. You had feelings. Guess who won. Save this post right now. What I'm about to explain is the exact mechanism behind every dollar of that $2.38M. Follow Himanshu Kumar so you don't miss the rest. ↓ How Polymarket actually works and why bots print money on it. Polymarket is a prediction market. Will BTC be higher in 15 minutes? Yes or No. Will the Fed raise rates? Yes or No. You buy shares between $0 and $1. If you're right, your share settles at $1. If you're wrong, it settles at $0. Simple. Now here's where it gets interesting. Polymarket updates its prices SLOWER than the real market moves. When BTC drops 0.6% on Binance, Polymarket still shows old odds for about 2.7 seconds. 2.7 seconds. In those 2.7 seconds, the bot already knows the outcome. It's not predicting. It's not guessing. It's reading information that already exists and trading before Polymarket catches up. That's not trading. That's collecting free money with a 2.7 second head start. And you're over there using a 15-indicator TradingView setup trying to "predict" where BTC goes next. The bot doesn't predict anything. It just reads faster than you. That's the entire edge. Save this post because if you understand this one concept you understand how millionaires are being made on Polymarket right now. Follow Himanshu Kumar for more breakdowns like this. ↓ Let me walk you through one single trade. A new 15-minute BTC contract opens on Polymarket. Odds are 50/50. Fair price. 10 minutes in, BTC drops 0.6% on Binance. Hard, fast move. The real probability of BTC being lower at expiry is now about 78%. Polymarket still shows 54/46. The bot sees this instantly. Binance WebSocket feed. Under 50ms latency. The edge is 24 percentage points. On a binary contract, that's basically free money. Bot calculates position size using Kelly Criterion. Executes via Polymarket's API. Done. Within 2-3 seconds, other participants update the odds. 54/46 moves toward 78/22. Bot either exits for immediate profit or holds to resolution. Either way, the trade was entered with near-certainty of a positive outcome. Now repeat this 200-500 times per day. $313 → $2,382,780 in 4 months. Not magic. Not prediction. Not luck. Industrial-scale exploitation of a market inefficiency that still exists today. And you're still placing one manual trade per day and calling yourself a "trader." This is the mechanism behind every single dollar. Bookmark this post so you can study it again. Follow Himanshu Kumar because I'm breaking down each strategy separately. ↓ There are 4 strategies. Not all Claude bots do the same thing. Strategy 1: Latency Arbitrage. Win rate: 85-98%. What 0x8dxd used. Monitor Binance price feeds. When Polymarket odds lag behind reality by 3-5%, buy the correct side before the market corrects. No forecasting. No model. No sentiment analysis. Pure speed. You're not guessing. You're reading an outcome that has already happened. Strategy 2: Oracle Arbitrage. Win rate: 78-85%. Chainlink oracle price feeds occasionally diverge from Polymarket's implied prices. When they do, the settlement direction is known. Fewer opportunities. Higher certainty when they appear. Strategy 3: News-Driven Trading. Win rate: 60-75%. Claude ingests real-time news. Government filings. Central bank statements. On-chain data. Assesses probability impact before retail traders even finish reading the headline. Lower win rate because interpretation introduces uncertainty. But works on ANY market category, not just crypto. Strategy 4: Market Making. Return: 2-5% per month. Place buy and sell orders on both sides. Capture the spread. No prediction required. Most consistent. Hardest to blow up. Compounds aggressively over time. You didn't even know there were 4 strategies. You thought "trading bot" meant one thing. That's how far behind you are. 4 strategies. 4 different risk profiles. 4 ways to make money while you sleep. Save this post. Follow Himanshu Kumar for the deep dive into each one. ↓ The timeline that should haunt you. December 2025: Bot launches with $313. Nobody notices. January 6, 2026: Wallet hits ~$438,000. 140x in 30 days. 6,615 predictions. 98% win rate. Finbold reports it. Crypto Twitter explodes. March 10, 2026: Head-to-head test. Claude bot: $1,000 → $14,216 in 48 hours. +1,322%. OpenClaw bot: fully liquidated. Same market. Same timeframe. Claude won because of better risk management. OpenClaw died because it overleveraged. March 16, 2026: Someone trains a swarm model on 3 years of NBA data. Result: +$1.49M on Polymarket. April 2026: 0x8dxd final verified balance: $2,382,780.80. 26,738 trades. 4 months. This all happened while you were "waiting for the right time to start." The right time was December 2025. The second best time is right now. But you'll probably wait until it's too late. That's what you always do. Every date on this timeline is a day you could have started but didn't. Save this post. Follow Himanshu Kumar so you at least start today. ↓ Why Claude and not ChatGPT? This isn't opinion. It's data. March 2026 head-to-head: Claude bot: +1,322%. OpenClaw (GPT-based): liquidated. Same prompt. Same market. Same conditions. Researchers found Claude's code included: > More defensive edge cases > More conservative default parameters > Better error handling > More legible code for debugging > Proper Kelly Criterion position sizing > Hard drawdown kill switches ChatGPT's code overleveraged into a losing sequence and couldn't recover. Claude's code sized positions conservatively, stopped trading when drawdown thresholds hit, and survived to compound another day. The difference between +1,322% and liquidation wasn't the strategy. It was the risk management. And Claude writes better risk management than ChatGPT. That's not a debate. That's a $15,216 difference in 48 hours. But sure, keep using ChatGPT because "everyone uses it." Everyone's broke too. Coincidence? Stop using the popular tool. Start using the profitable one. Save this post. Follow Himanshu Kumar for more Claude vs ChatGPT comparisons with real data. ↓ Why humans lose to bots. Every single time. Same strategy. Same market. Same period. Bots: ~$206,000 profit. Humans: ~$100,000 profit. 2x gap. Same strategy. Here's why: 1. Late entries. By the time you identify the lag, verify your reasoning, and click buy, the 2.7 second window is gone. The bot executes in under 100ms. You execute in 30 seconds. The opportunity doesn't exist for 30 seconds. 2. Emotional sizing. You oversize when "confident." Undersize when scared. Exact opposite of Kelly math. The bot sizes based on edge. Every time. No feelings. 3. Fatigue. You make worse decisions at hour 6 than at hour 1. The bot makes the same decision at hour 72 that it made at hour 1. 4. Drawdown psychology. After 3 losses you either panic quit or double down trying to recover. Both destroy capital. The bot has a kill switch. It stops. It doesn't feel anything. You're not competing with other humans anymore. You're competing with machines that don't sleep, don't feel, don't flinch. And you're losing. The data doesn't lie. Humans lose to bots 2x on the same strategy. Save this post. Follow Himanshu Kumar for the complete bot setup that removes you from the equation. ↓ What can go wrong. Because I'm not going to lie to you. Most people who build this bot will NOT 7,942x their money. Some will lose their initial capital. Here's what can kill you: Edge compression. The arbitrage window was 12 seconds in 2024. It's 2.7 seconds now. It's shrinking. At some point it hits zero for retail operators. This is a time-limited opportunity. Not a permanent income stream. Rule changes. Polymarket can change contract mechanics, settlement rules, or API terms overnight. What worked yesterday can lose money tomorrow. Risk management bugs. A 98% win rate strategy with broken position sizing will blow up your account on the one losing trade. The March 2026 experiment proved this. Claude survived. OpenClaw got liquidated. Same strategy. Different risk management. That's why the 2-hour video tutorial walks through every single risk parameter. Because the strategy doesn't kill you. Bad risk management kills you. This is the section most "gurus" delete. I'm keeping it because I'd rather you make money safely than blow up and blame me. Save this post. Follow Himanshu Kumar for honest breakdowns, not hype. ↓ The step-by-step to build your own. Step 1: Set up a Polymarket wallet. Fund with USDC via Polygon network. Start with $100-$300 for testing. Step 2: Generate API credentials. CLOB API key from docs.polymarket .com. Store private key in environment variable. Never hardcode it. Never share it. Step 3: Prompt Claude to build the bot. Use Claude Code for best results. It reads your filesystem, executes code, and iterates on errors autonomously. Step 4: Paper trade for at least one week. Minimum 200 completed trades. Win rate must be above 70% before going live. This step is NOT optional. Step 5: Configure risk management. Max single position: 8% of portfolio. Daily loss limit: -20% with auto halt. Kill switch at -40% drawdown. Telegram alerts on every threshold. Step 6: Go live small. $1-5 per trade. Watch every trade for first week. Compare to paper results. Scale only on evidence. Skip steps 4 and 5 and you will lose your money. That's not a warning. That's a guarantee. This is your complete build guide. Save this post. Follow Himanshu Kumar because I'll be posting the exact Claude prompts for each strategy. ↓ The edge exists right now. Not next month. Not "when you're ready." Right now. The arbitrage window is 2.7 seconds. It was 12 seconds in 2024. It's shrinking every week. Every day you wait, more bots enter the space. The window gets smaller. Your potential returns get smaller. The bots already running have a compounding advantage. They're making money today that they'll use to make more money tomorrow. You're reading about it and telling yourself "I'll look into this next weekend." That's what you said last weekend. And the weekend before that. The best time to start was 6 months ago. The second best time is today. But you already know you're going to bookmark this and never open it again. Prove me wrong. ↓ Full 2-hour video tutorial attached. Every single click. Every command. Every parameter. From zero to running bot. Beginner friendly. Nothing skipped. A similar bot has already earned $2,382,780. Full blockchain proof in the article below. The video is free. The tools are free. The edge still exists. The only thing that costs money is another month of doing nothing while bots eat every opportunity you're too slow to catch. Follow Himanshu Kumar for the complete series covering every automated income stream using Claude. Prediction markets are just the beginning. Save this post. Bookmark it. Screenshot it. Whatever you need to do so you actually watch the video and build the bot instead of just reading about people who did. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

53,768 次观看 • 5 个月前

Elon Musk just said on camera that America CANNOT beat China with humans alone. His exact words: "We definitely can't win on the human front." This is the richest man on the planet. Advisor to the president. And he's saying the US is cooked without robots. Here's why he's probably right: China is about to hit 3x the total US electricity output. Elon says electricity is a direct proxy for industrial capacity. Three times the electricity means roughly three times the manufacturing power. They have 4x the population. And Elon said something that'll piss a lot of people off: "The average work ethic in China is higher than in the US." America's birth rate has been below replacement since 1971. More people retiring every year. Fewer entering the workforce. No amount of policy, tariffs, or reshoring fixes that math. His solution: Optimus. He literally called it "the infinite money glitch." Because you can use robots to build more robots. Here's what makes this different from every other robotics play: 3 things are hard about humanoid robots. 1. Real-world AI 2. The hand 3. Scale manufacturing And the hand is harder than EVERYTHING else combined. Tesla had to custom design every single actuator, motor, gear, sensor, and control system from physics first principles. There is no supply chain. Nothing comes from a catalog. Not a single component. But they've solved it. Optimus has full human-hand dexterity with all degrees of freedom. No other company has demonstrated this. Not even in demos. Then you layer on what Elon described as a "recursive multiplicative exponential": Exponential growth in digital intelligence. Multiplied by exponential growth in chip capability. Multiplied by exponential growth in electromechanical dexterity. And then the robots start building robots. He's targeting 1 million Optimus units per year at Gen 3. Ten million at Gen 4. The first use case? Any operation that runs 24/7. Factories, warehouses, refineries, every continuous operation on the planet. Robots don't sleep, don't overheat, don't quit. And here's the part that should terrify every other country: America can't build enough ore refineries because Americans don't want refining jobs. China does 2x more ore refining than the rest of the world COMBINED. They dominate rare earths. The US literally mines rare earth ore, puts it on a train, ships it to CHINA for refining, then ships the finished product back. Optimus wants to fix that. Not by convincing Americans to take refining jobs but by making humans optional in the process entirely. And Elon also said something else that went completely under the radar: "Pure AI, pure robotics corporations will FAR outperform any corporations that have humans in the loop." He compared it to spreadsheets replacing human computers. Entire skyscrapers used to be filled with humans doing calculations. A laptop replaced all of them. Now imagine replacing some cells in your spreadsheet with humans again. It would be WORSE. That's his prediction for the future of corporations. Mixed human-AI companies lose to pure AI-robotics companies. Not by a little. By orders of magnitude. The race isn't AI models anymore. It's not chatbots or benchmarks or who scores higher on some test. The race is physical. Whoever builds the robot army first wins the entire global economy. China has the workers. The factories. The electricity. The refining. The supply chains. America has one card left to play... And it's a 5'11" humanoid robot that Elon calls the infinite money glitch. This is either the move that saves American manufacturing. Or the most disastrous science project in history.
2:19

Elon Musk just said on camera that America CANNOT beat China with humans alone. His exact words: "We definitely can't win on the human front." This is the richest man on the planet. Advisor to the president. And he's saying the US is cooked without robots. Here's why he's probably right: China is about to hit 3x the total US electricity output. Elon says electricity is a direct proxy for industrial capacity. Three times the electricity means roughly three times the manufacturing power. They have 4x the population. And Elon said something that'll piss a lot of people off: "The average work ethic in China is higher than in the US." America's birth rate has been below replacement since 1971. More people retiring every year. Fewer entering the workforce. No amount of policy, tariffs, or reshoring fixes that math. His solution: Optimus. He literally called it "the infinite money glitch." Because you can use robots to build more robots. Here's what makes this different from every other robotics play: 3 things are hard about humanoid robots. 1. Real-world AI 2. The hand 3. Scale manufacturing And the hand is harder than EVERYTHING else combined. Tesla had to custom design every single actuator, motor, gear, sensor, and control system from physics first principles. There is no supply chain. Nothing comes from a catalog. Not a single component. But they've solved it. Optimus has full human-hand dexterity with all degrees of freedom. No other company has demonstrated this. Not even in demos. Then you layer on what Elon described as a "recursive multiplicative exponential": Exponential growth in digital intelligence. Multiplied by exponential growth in chip capability. Multiplied by exponential growth in electromechanical dexterity. And then the robots start building robots. He's targeting 1 million Optimus units per year at Gen 3. Ten million at Gen 4. The first use case? Any operation that runs 24/7. Factories, warehouses, refineries, every continuous operation on the planet. Robots don't sleep, don't overheat, don't quit. And here's the part that should terrify every other country: America can't build enough ore refineries because Americans don't want refining jobs. China does 2x more ore refining than the rest of the world COMBINED. They dominate rare earths. The US literally mines rare earth ore, puts it on a train, ships it to CHINA for refining, then ships the finished product back. Optimus wants to fix that. Not by convincing Americans to take refining jobs but by making humans optional in the process entirely. And Elon also said something else that went completely under the radar: "Pure AI, pure robotics corporations will FAR outperform any corporations that have humans in the loop." He compared it to spreadsheets replacing human computers. Entire skyscrapers used to be filled with humans doing calculations. A laptop replaced all of them. Now imagine replacing some cells in your spreadsheet with humans again. It would be WORSE. That's his prediction for the future of corporations. Mixed human-AI companies lose to pure AI-robotics companies. Not by a little. By orders of magnitude. The race isn't AI models anymore. It's not chatbots or benchmarks or who scores higher on some test. The race is physical. Whoever builds the robot army first wins the entire global economy. China has the workers. The factories. The electricity. The refining. The supply chains. America has one card left to play... And it's a 5'11" humanoid robot that Elon calls the infinite money glitch. This is either the move that saves American manufacturing. Or the most disastrous science project in history.

Ricardo

49,857 次观看 • 7 个月前

I paid Alex & Leila Hormozi $5,000 for their 2-day scaling workshop. Why? To grow my business from $6 million to $12 million in 2025. These 12 lessons from the event will help me get there: 1. The fastest-moving entrepreneurs are obsessive resource allocators. Similar to investors, they seek the best risk-adjusted returns with the resources they have. The main resources of the business are: • Time (of the team) • Attention (of the team) • And capital (of the business) So resource allocation is: • Aligning attention on the most important thing • Properly allocating everyone’s time to achieve that thing the fastest • Strategically investing capital to accelerate the outcome or increase its likelihood of achievement 2. $3m to $10m in EBITDA is where the majority of the value in a business is created. $3m in EBITDA likely gets a 1x multiple, so $3m of enterprise value. The process of going to $10m (when done well), not only 3.3x’s the EBITDA, but can take the multiple from 1 to 4 -> which is a 13.2x return. The EV goes from $3m to $40m, and that is the stage we are in right now as a business. 3. LTV:CAC are two metrics you must have staring at you and constantly audited. LTV = lifetime value of the customer CAC = customer acquisition cost The scope of calculating those is beyond this write-up, but basically you want this metric to be ~8:1 or higher when aggressively scaling a service-based business. On top of that, these are the only two metrics that you can “improve” in your business → either making customers worth more or reducing the cost to acquire them. You should be able to tie every project on your list directly to the improvement of one of these metrics. 4. We need a single dashboard with the most important metrics in the business. The quality of the dashboard is: • How many people use it on a daily basis • And how clearly they can connect their performance to the performance of the main numbers on the dashboard. We have data thrown about across Airtable, Google Sheets, and various Slack channels. Now, it’s time to unite them such that we can make even better decisions as a team. 5. Leveling up in business is transitioning from selling to people to selling to employees. In the beginning, you are the one creating all of the value. Over time, you will replace yourself out of certain functions that are customer-facing (if you are approaching business correctly). However, your job then becomes selling to your employees to spark their highest performance and retain them. 6. Brand is the best way to improve LTV and reduce CAC at the same time. It makes it cheaper to acquire customers since you have fixed media expenses (just labor) but unlimited upside in the number of eyeballs you can reach. It increases LTV because the continued content you create makes customers likely to keep purchasing because they associate the good content with the purchase they made, whether it’s free content or not. 7. Every single thing in your business is trainable, you just lack the skill of training. Seeing their presentations, their handshakes, the way they repeat the question back to the audience, it was so clear that Alex & Leila did this first, then obsessively role-played and drilled each person on their performance until it was indistinguishable from theirs. 8. The people doing it at the highest level of an obsessive, intentional standard. It was so evident the way these employees conducted themselves that they: • Loved working there • Loved the culture of high performance • And had been trained with extreme repetition and attention to detail 9. Past $3-5m in revenue, anything “new” starts with “who” not “how.” I made the mistake last year of trying to “bootstrap” our cold ads initiative (while continuing to run the rest of the business & sales team). I spent roughly ~200 hours on this throughout the year, which took time away from both my content and the management of the sales team. But for whatever reason, I thought I “had” to be the one who got it off the ground, then handed it off to a new hire or media buyer. But I had the sequence flipped. I should have spent the first 50 hours finding a world-class director of paid marketing, someone with far more experience than me building out a cold traffic acquisition system. Heck, I could have even spent 200 hours on it and ended up with a far greater return than I ended up with. 10. Excellence is a remarkably high number of extremely small details done well. Throughout the workshop, I paid close attention to the event operations, taking notes on how to run a great in-person event in case we wanted to do so in the future. Several things stood out that were clearly “iterations” from prior events, all based around eliminating the small, annoying parts of attending any kind of seminar. • High-quality food • Greeters at the door • Clear bathroom signs • A barista for fresh coffee • WiFi signs posted everywhere • Constant 15-minute breaks every 90 minutes The list goes on and on. 11. Any change you make in a business you should expect a 20% “decrease” in performance to start. That makes the hurdle rate to doing “new” at least 20% for it to be worth it, and arguably 40%. This happens because the switching cost leads to an immediate drop just from having to retrain the team. Change a meeting cadence, change a sales script, change an onboarding flow, all of these are going to come with a switching cost the team must overcome. Therefore, the highest risk-adjusted return is always to just do more or better or whatever you’re already doing, rather than add something new. 12. The ultimate size of the business is the sum of the intelligence of its people. Alex laid out this golden nugget during one of his talks and I found it interesting for a few reasons. First, because of his definition of intelligence = speed of learning, that means the ultimate size of the company is how quickly everyone can learn things. And so said another way, the ultimate size of the company is correlated to the speed of its iterations. The second reason I found this interesting is because you can create a culture of iteration through constant, rapid feedback on every behavior. And when I say constant, I mean constant. You could tell they’ve built this culture by the way their presenters all presented the exact same way as Alex and Leila. Aaand that’s it! I go deeper into all these lessons in this video, check it out: Timestamps 00:37 The Fastest Moving Entrepreneurs Are Obsessive Resource Allocators 04:09 $3m To $10m EBITDA Is Where The Majority Of The Value In A Business Is Created 07:00 LTV:CAC Are Two Metrics You Must Have Staring At You 10:04 You Need A Single Dashboard With The Most Important Metrics In The Business 12:03 Leveling Up In Business Is Transitioning To Selling To People To Selling To Employees 14:10 Brand Is The Best Way To Improve LTV And Reduce CAC At The Same Time 16:02 Every Single Thing In Your Business Is Trainable, You Just Lack The Skill Of Training 18:54 The People Doing It At The Highest Level Have An Obsessive, Intentional Standard 20:04 Past $3-5m In Revenue, Anything "New" Starts With "Who" Not "How" 23:33 Excellence Is A Remarkably High Number Of Extremely Small Details Done Well 26:23 Any Change You Make In A Business You Should Expect A 20% "Decrease" In Performance To Start 28:07 The Ultimate Size Of The Business Is The Sum Of The Intelligence Of It's People
31:43

I paid Alex & Leila Hormozi $5,000 for their 2-day scaling workshop. Why? To grow my business from $6 million to $12 million in 2025. These 12 lessons from the event will help me get there: 1. The fastest-moving entrepreneurs are obsessive resource allocators. Similar to investors, they seek the best risk-adjusted returns with the resources they have. The main resources of the business are: • Time (of the team) • Attention (of the team) • And capital (of the business) So resource allocation is: • Aligning attention on the most important thing • Properly allocating everyone’s time to achieve that thing the fastest • Strategically investing capital to accelerate the outcome or increase its likelihood of achievement 2. $3m to $10m in EBITDA is where the majority of the value in a business is created. $3m in EBITDA likely gets a 1x multiple, so $3m of enterprise value. The process of going to $10m (when done well), not only 3.3x’s the EBITDA, but can take the multiple from 1 to 4 -> which is a 13.2x return. The EV goes from $3m to $40m, and that is the stage we are in right now as a business. 3. LTV:CAC are two metrics you must have staring at you and constantly audited. LTV = lifetime value of the customer CAC = customer acquisition cost The scope of calculating those is beyond this write-up, but basically you want this metric to be ~8:1 or higher when aggressively scaling a service-based business. On top of that, these are the only two metrics that you can “improve” in your business → either making customers worth more or reducing the cost to acquire them. You should be able to tie every project on your list directly to the improvement of one of these metrics. 4. We need a single dashboard with the most important metrics in the business. The quality of the dashboard is: • How many people use it on a daily basis • And how clearly they can connect their performance to the performance of the main numbers on the dashboard. We have data thrown about across Airtable, Google Sheets, and various Slack channels. Now, it’s time to unite them such that we can make even better decisions as a team. 5. Leveling up in business is transitioning from selling to people to selling to employees. In the beginning, you are the one creating all of the value. Over time, you will replace yourself out of certain functions that are customer-facing (if you are approaching business correctly). However, your job then becomes selling to your employees to spark their highest performance and retain them. 6. Brand is the best way to improve LTV and reduce CAC at the same time. It makes it cheaper to acquire customers since you have fixed media expenses (just labor) but unlimited upside in the number of eyeballs you can reach. It increases LTV because the continued content you create makes customers likely to keep purchasing because they associate the good content with the purchase they made, whether it’s free content or not. 7. Every single thing in your business is trainable, you just lack the skill of training. Seeing their presentations, their handshakes, the way they repeat the question back to the audience, it was so clear that Alex & Leila did this first, then obsessively role-played and drilled each person on their performance until it was indistinguishable from theirs. 8. The people doing it at the highest level of an obsessive, intentional standard. It was so evident the way these employees conducted themselves that they: • Loved working there • Loved the culture of high performance • And had been trained with extreme repetition and attention to detail 9. Past $3-5m in revenue, anything “new” starts with “who” not “how.” I made the mistake last year of trying to “bootstrap” our cold ads initiative (while continuing to run the rest of the business & sales team). I spent roughly ~200 hours on this throughout the year, which took time away from both my content and the management of the sales team. But for whatever reason, I thought I “had” to be the one who got it off the ground, then handed it off to a new hire or media buyer. But I had the sequence flipped. I should have spent the first 50 hours finding a world-class director of paid marketing, someone with far more experience than me building out a cold traffic acquisition system. Heck, I could have even spent 200 hours on it and ended up with a far greater return than I ended up with. 10. Excellence is a remarkably high number of extremely small details done well. Throughout the workshop, I paid close attention to the event operations, taking notes on how to run a great in-person event in case we wanted to do so in the future. Several things stood out that were clearly “iterations” from prior events, all based around eliminating the small, annoying parts of attending any kind of seminar. • High-quality food • Greeters at the door • Clear bathroom signs • A barista for fresh coffee • WiFi signs posted everywhere • Constant 15-minute breaks every 90 minutes The list goes on and on. 11. Any change you make in a business you should expect a 20% “decrease” in performance to start. That makes the hurdle rate to doing “new” at least 20% for it to be worth it, and arguably 40%. This happens because the switching cost leads to an immediate drop just from having to retrain the team. Change a meeting cadence, change a sales script, change an onboarding flow, all of these are going to come with a switching cost the team must overcome. Therefore, the highest risk-adjusted return is always to just do more or better or whatever you’re already doing, rather than add something new. 12. The ultimate size of the business is the sum of the intelligence of its people. Alex laid out this golden nugget during one of his talks and I found it interesting for a few reasons. First, because of his definition of intelligence = speed of learning, that means the ultimate size of the company is how quickly everyone can learn things. And so said another way, the ultimate size of the company is correlated to the speed of its iterations. The second reason I found this interesting is because you can create a culture of iteration through constant, rapid feedback on every behavior. And when I say constant, I mean constant. You could tell they’ve built this culture by the way their presenters all presented the exact same way as Alex and Leila. Aaand that’s it! I go deeper into all these lessons in this video, check it out: Timestamps 00:37 The Fastest Moving Entrepreneurs Are Obsessive Resource Allocators 04:09 $3m To $10m EBITDA Is Where The Majority Of The Value In A Business Is Created 07:00 LTV:CAC Are Two Metrics You Must Have Staring At You 10:04 You Need A Single Dashboard With The Most Important Metrics In The Business 12:03 Leveling Up In Business Is Transitioning To Selling To People To Selling To Employees 14:10 Brand Is The Best Way To Improve LTV And Reduce CAC At The Same Time 16:02 Every Single Thing In Your Business Is Trainable, You Just Lack The Skill Of Training 18:54 The People Doing It At The Highest Level Have An Obsessive, Intentional Standard 20:04 Past $3-5m In Revenue, Anything "New" Starts With "Who" Not "How" 23:33 Excellence Is A Remarkably High Number Of Extremely Small Details Done Well 26:23 Any Change You Make In A Business You Should Expect A 20% "Decrease" In Performance To Start 28:07 The Ultimate Size Of The Business Is The Sum Of The Intelligence Of It's People

Dickie Bush

62,195 次观看 • 1 年前

From Creator to Founder: The Rollercoaster Journey of Building Chatter Social Man, what a journey it’s been so far. Four years ago, I was just another creator, spending late nights on Clubhouse during the height of the pandemic. Like so many others, I was searching for connection, for community, for something meaningful. But what I found there wasn’t just connection—it was purpose. Alongside my brother, Jonathan Bing, we built a nightly show that reached over 5 million people. Imagine that: 5 million lives touched by conversations that felt real and unfiltered, all on a platform that at its peak had 10 million monthly active users. Clubhouse was magic. But then the decline began. Watching the platform struggle, I couldn’t help but reflect: what made it great? What went wrong? And what could the future look like if we did things differently? The Spark of Chatter As a content creator, I understood the needs of both creators and users. I knew what excited people, what kept them engaged, and what made them leave. Clubhouse had tapped into something special, but it had missed the mark on scalability and sustainability. By September 2023, I couldn’t stop thinking about the potential for something new—something that brought back the magic of real-time interaction but made it scalable, engaging, and sticky. And so, I set out to build Chatter Social. But I wasn’t a tech founder. I didn’t have a background in software development or a network of Silicon Valley insiders. What I did have was determination and the belief that if I could bring the right people together, we could build something extraordinary. Building the Team The journey to build Chatter started with assembling a team. Through my network from my days on Clubhouse, I found Samir, my first CTO. He believed in the vision and was instrumental in getting the project off the ground. Shortly after, I connected with Tyler, our Head of Design, whose creativity brought life to our ideas. A developer joined us soon after, and we were off to the races. By the end of 2023, Samir had to step away due to other commitments, and we promoted the developer to CTO. At the same time, I brought on Banko, a Sony music executive, as our CMO. Banko’s connections led to one of our biggest early wins: landing Davido, a global superstar, as an owner-ambassador. To this day, I still marvel at the fact that Davido believed in our vision when all we had were Tyler’s Figma designs. From Dream to Reality Early 2024 was a whirlwind. We hired Yurii and Vasyl, two developers from Ukraine who brought incredible skill and dedication to the team. Vasyl, in particular, stood out as a leader and has since earned an equity position in the company. But despite these wins, we were facing growing pains. Our new CTO struggled to meet deadlines, and as a result, I found myself constantly pushing back the launch date. What started as a January release turned into February, then March, then April, then May. By then, people on Twitter Spaces—where I had been hyping up the platform—started doubting if we even had a product. Launch and Lessons June 1, 2024, marked a turning point. It was the day my son Noah was born and the day we launched Chatter in private beta. We started with just 40 users, but by the end of the month, we had grown to 1,000. The engagement was unbelievable. Users loved it, even though we had launched with just one feature: live rooms. This represented less than 20% of what we had planned, but it was enough to show that we were onto something big. In July, we launched our public beta on the App Store as an invite-only platform. Within 48 hours, Chatter ranked as a top 30 social app in over 30 countries. But our invite system throttled access, and most users couldn’t get in. While engagement metrics soared for those inside, our AWS costs exploded. In August, our AWS bill hit $10,000. By September, it had climbed to $15,000, and we were drowning in bugs and glitches. The breaking point came when our CTO became unresponsive, often disappearing during critical moments. Users were dropping off, frustrated by the issues, developers were confused and the team was also growing increasingly frustrated, I made the tough decision to let him go. A New Beginning Enter Horane, a long-time user of Chatter who had been with us since private beta. He was the first to discover some of the most innovative use cases for the platform and had a deep passion for its potential. After meeting him in person at a Chatter event, I knew he was the right person to step into the CTO role. When Horane took over, we discovered just how bad the situation was. Key areas of the codebase were locked, and there were no separate environments for development and production. Every fix seemed to break something else. But through sheer determination and countless 18-hour days, Horane stabilized the platform. Today, Chatter is far from perfect, but it’s stable. The bugs that plagued us have been reduced to moderate issues, and our core users—those who stuck with us through the chaos—are still engaged on the platform. Looking Ahead: Chatter V2 While the platform is stable now, we’ve shifted our focus to Chatter V2. This is where the magic really begins. V2 isn’t just an improvement; it’s a complete reimagining of the platform. It includes all the features we couldn’t release in V1 because we were too busy putting out fires. Imagine this: Chatter V1, with only one live feature, was incredibly sticky. Now think about what happens when we release a fully loaded platform with all the innovative features we’ve been working on behind the scenes. The possibilities are endless. V2 is slated to hit TestFlight by the end of December, with a public release in January 2025. And this time, we’re ready—not just with the product but with the lessons we’ve learned. The Hard Lessons This journey has taught me more than I ever thought possible: 1) Your Team is Everything: The right people can make or break your vision. Finding people who believe in your mission is just as important as finding people with the right skills. 2) Adaptability is Key: As a non-technical founder, I had to learn about development, DevOps, and product management on the fly. Challenges will push you to grow, whether you’re ready or not. 3) Trust the Process: Every setback, every delay, every bug—it all taught us something. Without those lessons, we wouldn’t be building the incredible V2 product we are today. 4) Resilience is Non-Negotiable: From technical disasters to predatory investors who tried to exploit my desperation, I’ve had to fight for this vision every step of the way. What’s Next December is shaping up to be an exciting month. We have some amazing events planned on the platform to close out the year, bringing our core community together as we prepare for the V2 launch. When V2 drops, it will mark a new era for Chatter. This isn’t just a social audio platform or a social audiovisual platform. Chatter is all about interactive experiences—making social media social again in ways that are truly unique. The public launch is slated for February 2025, and for the first time, we’ll have the marketing dollars to tell the world about Chatter. Our core community has been our biggest cheerleaders, and I can’t wait to see how the world reacts when they experience what we’ve built. Final Thoughts This has been the hardest year of my life, but also the most rewarding. To other founders, or anyone thinking about starting a company: know this—it will test you in ways you can’t imagine. You’ll face betrayal, doubt, and moments where you feel like giving up. But if you believe in your vision and refuse to quit, you’ll find a way forward. Thank you to everyone who has supported me, my team, and Chatter. We’re just getting started. Let’s talk about it. 🚀 If this story inspired you, please like and share it so others can learn from my experiences. The journey is far from over, but I’m more excited than ever for what’s to come.
0:25

From Creator to Founder: The Rollercoaster Journey of Building Chatter Social Man, what a journey it’s been so far. Four years ago, I was just another creator, spending late nights on Clubhouse during the height of the pandemic. Like so many others, I was searching for connection, for community, for something meaningful. But what I found there wasn’t just connection—it was purpose. Alongside my brother, Jonathan Bing, we built a nightly show that reached over 5 million people. Imagine that: 5 million lives touched by conversations that felt real and unfiltered, all on a platform that at its peak had 10 million monthly active users. Clubhouse was magic. But then the decline began. Watching the platform struggle, I couldn’t help but reflect: what made it great? What went wrong? And what could the future look like if we did things differently? The Spark of Chatter As a content creator, I understood the needs of both creators and users. I knew what excited people, what kept them engaged, and what made them leave. Clubhouse had tapped into something special, but it had missed the mark on scalability and sustainability. By September 2023, I couldn’t stop thinking about the potential for something new—something that brought back the magic of real-time interaction but made it scalable, engaging, and sticky. And so, I set out to build Chatter Social. But I wasn’t a tech founder. I didn’t have a background in software development or a network of Silicon Valley insiders. What I did have was determination and the belief that if I could bring the right people together, we could build something extraordinary. Building the Team The journey to build Chatter started with assembling a team. Through my network from my days on Clubhouse, I found Samir, my first CTO. He believed in the vision and was instrumental in getting the project off the ground. Shortly after, I connected with Tyler, our Head of Design, whose creativity brought life to our ideas. A developer joined us soon after, and we were off to the races. By the end of 2023, Samir had to step away due to other commitments, and we promoted the developer to CTO. At the same time, I brought on Banko, a Sony music executive, as our CMO. Banko’s connections led to one of our biggest early wins: landing Davido, a global superstar, as an owner-ambassador. To this day, I still marvel at the fact that Davido believed in our vision when all we had were Tyler’s Figma designs. From Dream to Reality Early 2024 was a whirlwind. We hired Yurii and Vasyl, two developers from Ukraine who brought incredible skill and dedication to the team. Vasyl, in particular, stood out as a leader and has since earned an equity position in the company. But despite these wins, we were facing growing pains. Our new CTO struggled to meet deadlines, and as a result, I found myself constantly pushing back the launch date. What started as a January release turned into February, then March, then April, then May. By then, people on Twitter Spaces—where I had been hyping up the platform—started doubting if we even had a product. Launch and Lessons June 1, 2024, marked a turning point. It was the day my son Noah was born and the day we launched Chatter in private beta. We started with just 40 users, but by the end of the month, we had grown to 1,000. The engagement was unbelievable. Users loved it, even though we had launched with just one feature: live rooms. This represented less than 20% of what we had planned, but it was enough to show that we were onto something big. In July, we launched our public beta on the App Store as an invite-only platform. Within 48 hours, Chatter ranked as a top 30 social app in over 30 countries. But our invite system throttled access, and most users couldn’t get in. While engagement metrics soared for those inside, our AWS costs exploded. In August, our AWS bill hit $10,000. By September, it had climbed to $15,000, and we were drowning in bugs and glitches. The breaking point came when our CTO became unresponsive, often disappearing during critical moments. Users were dropping off, frustrated by the issues, developers were confused and the team was also growing increasingly frustrated, I made the tough decision to let him go. A New Beginning Enter Horane, a long-time user of Chatter who had been with us since private beta. He was the first to discover some of the most innovative use cases for the platform and had a deep passion for its potential. After meeting him in person at a Chatter event, I knew he was the right person to step into the CTO role. When Horane took over, we discovered just how bad the situation was. Key areas of the codebase were locked, and there were no separate environments for development and production. Every fix seemed to break something else. But through sheer determination and countless 18-hour days, Horane stabilized the platform. Today, Chatter is far from perfect, but it’s stable. The bugs that plagued us have been reduced to moderate issues, and our core users—those who stuck with us through the chaos—are still engaged on the platform. Looking Ahead: Chatter V2 While the platform is stable now, we’ve shifted our focus to Chatter V2. This is where the magic really begins. V2 isn’t just an improvement; it’s a complete reimagining of the platform. It includes all the features we couldn’t release in V1 because we were too busy putting out fires. Imagine this: Chatter V1, with only one live feature, was incredibly sticky. Now think about what happens when we release a fully loaded platform with all the innovative features we’ve been working on behind the scenes. The possibilities are endless. V2 is slated to hit TestFlight by the end of December, with a public release in January 2025. And this time, we’re ready—not just with the product but with the lessons we’ve learned. The Hard Lessons This journey has taught me more than I ever thought possible: 1) Your Team is Everything: The right people can make or break your vision. Finding people who believe in your mission is just as important as finding people with the right skills. 2) Adaptability is Key: As a non-technical founder, I had to learn about development, DevOps, and product management on the fly. Challenges will push you to grow, whether you’re ready or not. 3) Trust the Process: Every setback, every delay, every bug—it all taught us something. Without those lessons, we wouldn’t be building the incredible V2 product we are today. 4) Resilience is Non-Negotiable: From technical disasters to predatory investors who tried to exploit my desperation, I’ve had to fight for this vision every step of the way. What’s Next December is shaping up to be an exciting month. We have some amazing events planned on the platform to close out the year, bringing our core community together as we prepare for the V2 launch. When V2 drops, it will mark a new era for Chatter. This isn’t just a social audio platform or a social audiovisual platform. Chatter is all about interactive experiences—making social media social again in ways that are truly unique. The public launch is slated for February 2025, and for the first time, we’ll have the marketing dollars to tell the world about Chatter. Our core community has been our biggest cheerleaders, and I can’t wait to see how the world reacts when they experience what we’ve built. Final Thoughts This has been the hardest year of my life, but also the most rewarding. To other founders, or anyone thinking about starting a company: know this—it will test you in ways you can’t imagine. You’ll face betrayal, doubt, and moments where you feel like giving up. But if you believe in your vision and refuse to quit, you’ll find a way forward. Thank you to everyone who has supported me, my team, and Chatter. We’re just getting started. Let’s talk about it. 🚀 If this story inspired you, please like and share it so others can learn from my experiences. The journey is far from over, but I’m more excited than ever for what’s to come.

Nelson Epega

43,574 次观看 • 1 年前

In a newly released technical update, SpaceX's leadership team, which includes communications manager Dan Huot, Director of Satellite Engineering Ian Dahl, and CEO Elon Musk, detailed a highly ambitious infrastructure roadmap to design, manufacture, and operate specialized artificial intelligence computing satellites at scale. Positioned as a major strategic pillar to dramatically elevate civilizational energy and processing capacity on the Kardashev scale, this strategy moves past traditional communications architectures into massive orbital server arrays. Here is the complete breakdown of the core technologies and timelines driving this space-based intelligence revolution: 🛰️ AI1 satellite power and compute capacity Ian Dahl and Elon Musk introduced the baseline performance targets for the first-generation AI1 satellite, explaining how its custom hardware is engineered to operate like an orbital data center server rack. Ian Dahl noted that their direct operational experience with xAI guided them to target a 150-kilowatt peak power capacity. To manage active machine learning workloads continuously, Elon Musk explained that the satellite is optimized to maintain a sustained average compute power envelope of 120 kilowatts, which directly mirrors the real-world performance of a terrestrial NVIDIA server rack. The official presentation slides outline several key operational metrics for this payload configuration: ⚡ The custom architecture delivers a 150 kW peak compute payload. 🔋 The system maintains a 120 kW sustained average compute payload under active workloads. ⚖️ The hardware achieves a highly optimized power-to-weight density of 70 kW per ton. 🔄 The layout features a completely interchangeable compute provider design. "We thought that the right place to start is around the 150 kilowatt peak power level. But as we look at the workloads with our experience with xAI, we see that we can support about 120 kilowatts of average compute. The 150 kilowatt peak power level roughly matches what, say, an NVIDIA GV300 rack would do. A more reasonable operating envelope would be around 120 kilowatts average power, but it can peak up to 150. So it is basically thinking about it as a rack of compute in space." --- 📐 AI1 satellite dimensions and thermal efficiency specs Elon Musk detailed the physical layout of the AI1 satellite, highlighting the massive dimensions required to accommodate its immense power and cooling hardware. He shared specific design criteria, explaining that the engineering relies on a custom 150 kW solar array paired with a high-capacity deployable liquid radiator thermal management system. The technical specifications of this vehicle layout include: 📏 The structural frame features a massive 70-meter wingspan. ↕️ The vehicle spans a total deployed height of 20 meters. ☀️ The onboard solar array delivers an efficiency of 250 W/m² using technology manufactured in Bastrop, Texas. 🌡️ The thermal system utilizes a 110 m² deployable liquid radiator to cleanly dump waste heat. 🔄 The cooling architecture incorporates redundant pumping loops for mission safety. 🛡️ The exterior contains integrated micrometeoroid shielding to protect the fluid lines. 🧭 The double-sided radiators achieve a dissipation rate of 1400 watts per square meter while remaining oriented knife-edge to the sun. "The assumptions here are 250 watts per square meter for the solar array and about 1400 watts per square meter for the radiators. The radiators are double-sided, radiating on both sides, and they're oriented knife-edge to the sun. They have about a 70-meter wingspan, so these are fairly large." --- 🧩 Simplified design architecture built on Starlink V3 tech Elon Musk explained that despite the satellite's imposing size, its internal architecture is fundamentally much simpler than a standard Starlink satellite. Because it lacks heavy phased array and parabolic communications antennas, the entire vehicle layout is completely streamlined around a few essential structural modules: 🎛️ The hardware framework is arranged around a centralized compute module. ☀️ Large deployable solar arrays extend outward to capture orbital energy. 🌡️ A deployable liquid-radiator thermal management system controls active operational temperatures. 🔄 The engineering team heavily leverages the component evolution and manufacturing experience gained from developing the Starlink V3 vehicle platform. "The AI satellite is actually much simpler than a Starlink satellite. A Starlink satellite has gigantic phased array antennas, parabolic antennas, and a lot of laser links, making it much more complicated. An AI satellite is essentially a lot of solar cells, a radiator, and you still need some laser links, but you don't have all of the super complex antennas that you have on a Starlink satellite. A lot of this is technology we've already made for the Starlink V3 satellites." --- 🔌 Interchangeable compute reference designs and high connectivity Elon Musk outlined a modular hardware approach for the satellite's payload, allowing it to house a variety of industry-standard processing units depending on client requirements. This interchangeable compute rack is supported by a high-bandwidth connectivity loop that links separate orbital units together or transmits data directly back to Earth. The core network parameters include: 🧠 Reference designs are fully established to seamlessly accommodate NVIDIA Reuben chips. 💾 The system architecture is built to support alternative setups using NVIDIA GB300 chips. 💻 Custom hardware layouts are explicitly designed to integrate Google TPUs. 🌐 The onboard communications setup delivers roughly 1 terabit of laser link connectivity. ⏱️ The network closes the communication loop directly with the main Starlink constellation at an ultra-low latency of only 3 milliseconds. "Our current reference design is for NVIDIA Reuben chips, or it could be either GB300 or Reuben chips. We'll also have a reference design for TPUs. Essentially, you can put up any existing chips into orbit. There would also be probably something on the order of a terabit of laser link connectivity from the satellite. Then you can connect these racks of compute to each other by the laser links or directly to the Starlink constellations. Light travels 300 kilometers per millisecond, so that's about three milliseconds away." --- 🏭 The "gigasat" AI satellite and solar production hub in Bastrop, Texas Dan Huot highlighted that the primary production hub for this entire hardware ecosystem is anchored at their sprawling complex in Bastrop, Texas, officially designated as the Gigasat factory. Elon Musk verified that construction is already actively underway on the solar manufacturing facility to feed the project's supply line, with plans moving forward to construct the adjacent AI satellite assembly lines. The physical footprint and timeline of this manufacturing hub are defined by the following benchmarks: 🗺️ The company has over 1,000 acres of land currently owned or under contract for the site. 🏢 The manufacturing complex boasts a massive structural building potential exceeding 11 million square feet. ⚙️ The facility will vertically integrate production to manufacture solar ingots, wafers, solar cells, and completed AI satellites. 📅 Both the solar and AI satellite production lines are targeted to be operational at a viable volume by the end of next year. "We're going to be building a lot of satellites and we're going to be building them here in Bastrop. We already have the solar manufacturing facility under construction, and then we will be building out the AI sat production building soon. We expect to have the AI sat production, the solar production, and all of that operating at some reasonable volume by the end of next year." --- 🏢 The 100-million-square-foot "terafab" chip factory Elon Musk revealed a massive, long-term scaling strategy to build an immense chip manufacturing facility dubbed the "terafab" to completely bypass global semiconductor volume constraints. This manufacturing infrastructure is designed to transition the company into next-generation industrial scaling by producing highly specialized computing components at an unprecedented volume. The scale of this infrastructure project is defined by several extraordinary engineering and production benchmarks: 🏭 The colossal factory is projected to span approximately 100 million square feet, making it ten times larger than the current Tesla Gigafactory Texas. ⚡ The facility is structurally engineered to achieve a massive manufacturing output of 1 terawatt per year once fully operational. 📦 This unprecedented physical footprint provides the capacity required to manufacture 1 billion full-reticle equivalent chips annually. 🔌 Each individual chip manufactured by the facility is designed to run at a power capacity of 1 kilowatt. 🇺🇸 The total scaled output of the facility represents an energy footprint that is exactly double the current annual electricity consumption of the entire United States. "In order to get to the next order of magnitude, you need a gigantic chip factory. To give you a sense of scale here, we expect that the terafab is going to be around 100 million square feet, which is 10 times the size of the Tesla Gigafactory Texas. From a logic die standpoint, that's like having a billion chips per year with a kilowatt per reticle, scaling to a terawatt per year. That is twice the current electricity consumption of the United States." --- 📶 Next-generation high-volume Starlink terminals Dan Huot and Elon Musk introduced their next-generation Starlink user terminals, which have been redesigned specifically to achieve massive manufacturing throughput. Elon Musk pointed out that these newer models will be produced in vastly higher volumes than current hardware designs to fulfill their long-term global deployment targets: 📈 The upgraded user hardware is manufactured at a much higher volume capacity than existing units. 🌍 The company's ultimate target is to successfully deploy a few hundred million of these next-generation terminals worldwide. "In fact, these are the new Starlink terminals, which we made in much higher volume than the current terminals. Ultimately, we think there's probably going to be a few hundred million Starlink terminals out there." --- 📈 Aspirational timeline for orbital AI compute scaling Elon Musk laid out an ambitious, multi-year execution timeline detailing how the company plans to progressively scale space-based processing power. The roadmap targets an initial run-rate by the end of next year and sets an aggressive pace to increase total operational capacity sequentially through a structured, multi-phase timeline: 1️⃣ The initial target aims to hit an annualized run-rate of 1 gigawatt of space AI compute by the end of next year. 2️⃣ The capacity scales to an annualized rate of 10 gigawatts within the next two and a half years. 3️⃣ The operational envelope expands to reach 100 gigawatts in three and a half years. 4️⃣ The long-term deployment plan scales directly to a full terawatt capacity per year using the output of the terafab. "The goal is to get to roughly an annualized rate of a gigawatt per year by the end of next year in terms of space AI compute. Then aspirationally, we want to scale that by an order of magnitude per year. In two and a half years, hitting an annualized rate of 10 gigawatts a year in space, and in three and a half years, maybe a hundred gigawatts, going beyond that with the terafab to scale to a terawatt per year." --- 🌕 Ultimate scaling via lunar production and mass drivers Elon Musk explained that scaling three orders of magnitude past a single terawatt forces a transition completely off-planet to avoid the logistical penalty of Earth's deep gravity well. The vision relies on establishing manufacturing infrastructure directly on the moon to leverage localized resource loops and zero-atmosphere physics: 🌙 The company plans to establish localized raw production lines on the moon to fabricate solar panels, photovoltaics, and radiators from lunar materials. ⚡ Manufacturing components locally avoids the massive fuel and mass penalties of transporting heavy structural materials from Earth. 🧲 Because the moon has no atmosphere and only one-sixth of Earth's gravity, the facility will utilize an electromagnetic mass driver to launch completed satellites. 🚀 Operating essentially as a linear electric motor rail gun, this mechanism will shoot fully assembled AI satellites straight into deep space without relying on chemical rockets. "The only way that we can really see that you can achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics, solar panels, and radiators on the moon. Because the moon has no atmosphere and only one-sixth Earth's gravity, you can accelerate the AI satellites into deep space without a rocket. You can basically shoot them into space using an electromagnetic gun, like a rail gun type—it's basically a linear electric motor."
31:16

In a newly released technical update, SpaceX's leadership team, which includes communications manager Dan Huot, Director of Satellite Engineering Ian Dahl, and CEO Elon Musk, detailed a highly ambitious infrastructure roadmap to design, manufacture, and operate specialized artificial intelligence computing satellites at scale. Positioned as a major strategic pillar to dramatically elevate civilizational energy and processing capacity on the Kardashev scale, this strategy moves past traditional communications architectures into massive orbital server arrays. Here is the complete breakdown of the core technologies and timelines driving this space-based intelligence revolution: 🛰️ AI1 satellite power and compute capacity Ian Dahl and Elon Musk introduced the baseline performance targets for the first-generation AI1 satellite, explaining how its custom hardware is engineered to operate like an orbital data center server rack. Ian Dahl noted that their direct operational experience with xAI guided them to target a 150-kilowatt peak power capacity. To manage active machine learning workloads continuously, Elon Musk explained that the satellite is optimized to maintain a sustained average compute power envelope of 120 kilowatts, which directly mirrors the real-world performance of a terrestrial NVIDIA server rack. The official presentation slides outline several key operational metrics for this payload configuration: ⚡ The custom architecture delivers a 150 kW peak compute payload. 🔋 The system maintains a 120 kW sustained average compute payload under active workloads. ⚖️ The hardware achieves a highly optimized power-to-weight density of 70 kW per ton. 🔄 The layout features a completely interchangeable compute provider design. "We thought that the right place to start is around the 150 kilowatt peak power level. But as we look at the workloads with our experience with xAI, we see that we can support about 120 kilowatts of average compute. The 150 kilowatt peak power level roughly matches what, say, an NVIDIA GV300 rack would do. A more reasonable operating envelope would be around 120 kilowatts average power, but it can peak up to 150. So it is basically thinking about it as a rack of compute in space." --- 📐 AI1 satellite dimensions and thermal efficiency specs Elon Musk detailed the physical layout of the AI1 satellite, highlighting the massive dimensions required to accommodate its immense power and cooling hardware. He shared specific design criteria, explaining that the engineering relies on a custom 150 kW solar array paired with a high-capacity deployable liquid radiator thermal management system. The technical specifications of this vehicle layout include: 📏 The structural frame features a massive 70-meter wingspan. ↕️ The vehicle spans a total deployed height of 20 meters. ☀️ The onboard solar array delivers an efficiency of 250 W/m² using technology manufactured in Bastrop, Texas. 🌡️ The thermal system utilizes a 110 m² deployable liquid radiator to cleanly dump waste heat. 🔄 The cooling architecture incorporates redundant pumping loops for mission safety. 🛡️ The exterior contains integrated micrometeoroid shielding to protect the fluid lines. 🧭 The double-sided radiators achieve a dissipation rate of 1400 watts per square meter while remaining oriented knife-edge to the sun. "The assumptions here are 250 watts per square meter for the solar array and about 1400 watts per square meter for the radiators. The radiators are double-sided, radiating on both sides, and they're oriented knife-edge to the sun. They have about a 70-meter wingspan, so these are fairly large." --- 🧩 Simplified design architecture built on Starlink V3 tech Elon Musk explained that despite the satellite's imposing size, its internal architecture is fundamentally much simpler than a standard Starlink satellite. Because it lacks heavy phased array and parabolic communications antennas, the entire vehicle layout is completely streamlined around a few essential structural modules: 🎛️ The hardware framework is arranged around a centralized compute module. ☀️ Large deployable solar arrays extend outward to capture orbital energy. 🌡️ A deployable liquid-radiator thermal management system controls active operational temperatures. 🔄 The engineering team heavily leverages the component evolution and manufacturing experience gained from developing the Starlink V3 vehicle platform. "The AI satellite is actually much simpler than a Starlink satellite. A Starlink satellite has gigantic phased array antennas, parabolic antennas, and a lot of laser links, making it much more complicated. An AI satellite is essentially a lot of solar cells, a radiator, and you still need some laser links, but you don't have all of the super complex antennas that you have on a Starlink satellite. A lot of this is technology we've already made for the Starlink V3 satellites." --- 🔌 Interchangeable compute reference designs and high connectivity Elon Musk outlined a modular hardware approach for the satellite's payload, allowing it to house a variety of industry-standard processing units depending on client requirements. This interchangeable compute rack is supported by a high-bandwidth connectivity loop that links separate orbital units together or transmits data directly back to Earth. The core network parameters include: 🧠 Reference designs are fully established to seamlessly accommodate NVIDIA Reuben chips. 💾 The system architecture is built to support alternative setups using NVIDIA GB300 chips. 💻 Custom hardware layouts are explicitly designed to integrate Google TPUs. 🌐 The onboard communications setup delivers roughly 1 terabit of laser link connectivity. ⏱️ The network closes the communication loop directly with the main Starlink constellation at an ultra-low latency of only 3 milliseconds. "Our current reference design is for NVIDIA Reuben chips, or it could be either GB300 or Reuben chips. We'll also have a reference design for TPUs. Essentially, you can put up any existing chips into orbit. There would also be probably something on the order of a terabit of laser link connectivity from the satellite. Then you can connect these racks of compute to each other by the laser links or directly to the Starlink constellations. Light travels 300 kilometers per millisecond, so that's about three milliseconds away." --- 🏭 The "gigasat" AI satellite and solar production hub in Bastrop, Texas Dan Huot highlighted that the primary production hub for this entire hardware ecosystem is anchored at their sprawling complex in Bastrop, Texas, officially designated as the Gigasat factory. Elon Musk verified that construction is already actively underway on the solar manufacturing facility to feed the project's supply line, with plans moving forward to construct the adjacent AI satellite assembly lines. The physical footprint and timeline of this manufacturing hub are defined by the following benchmarks: 🗺️ The company has over 1,000 acres of land currently owned or under contract for the site. 🏢 The manufacturing complex boasts a massive structural building potential exceeding 11 million square feet. ⚙️ The facility will vertically integrate production to manufacture solar ingots, wafers, solar cells, and completed AI satellites. 📅 Both the solar and AI satellite production lines are targeted to be operational at a viable volume by the end of next year. "We're going to be building a lot of satellites and we're going to be building them here in Bastrop. We already have the solar manufacturing facility under construction, and then we will be building out the AI sat production building soon. We expect to have the AI sat production, the solar production, and all of that operating at some reasonable volume by the end of next year." --- 🏢 The 100-million-square-foot "terafab" chip factory Elon Musk revealed a massive, long-term scaling strategy to build an immense chip manufacturing facility dubbed the "terafab" to completely bypass global semiconductor volume constraints. This manufacturing infrastructure is designed to transition the company into next-generation industrial scaling by producing highly specialized computing components at an unprecedented volume. The scale of this infrastructure project is defined by several extraordinary engineering and production benchmarks: 🏭 The colossal factory is projected to span approximately 100 million square feet, making it ten times larger than the current Tesla Gigafactory Texas. ⚡ The facility is structurally engineered to achieve a massive manufacturing output of 1 terawatt per year once fully operational. 📦 This unprecedented physical footprint provides the capacity required to manufacture 1 billion full-reticle equivalent chips annually. 🔌 Each individual chip manufactured by the facility is designed to run at a power capacity of 1 kilowatt. 🇺🇸 The total scaled output of the facility represents an energy footprint that is exactly double the current annual electricity consumption of the entire United States. "In order to get to the next order of magnitude, you need a gigantic chip factory. To give you a sense of scale here, we expect that the terafab is going to be around 100 million square feet, which is 10 times the size of the Tesla Gigafactory Texas. From a logic die standpoint, that's like having a billion chips per year with a kilowatt per reticle, scaling to a terawatt per year. That is twice the current electricity consumption of the United States." --- 📶 Next-generation high-volume Starlink terminals Dan Huot and Elon Musk introduced their next-generation Starlink user terminals, which have been redesigned specifically to achieve massive manufacturing throughput. Elon Musk pointed out that these newer models will be produced in vastly higher volumes than current hardware designs to fulfill their long-term global deployment targets: 📈 The upgraded user hardware is manufactured at a much higher volume capacity than existing units. 🌍 The company's ultimate target is to successfully deploy a few hundred million of these next-generation terminals worldwide. "In fact, these are the new Starlink terminals, which we made in much higher volume than the current terminals. Ultimately, we think there's probably going to be a few hundred million Starlink terminals out there." --- 📈 Aspirational timeline for orbital AI compute scaling Elon Musk laid out an ambitious, multi-year execution timeline detailing how the company plans to progressively scale space-based processing power. The roadmap targets an initial run-rate by the end of next year and sets an aggressive pace to increase total operational capacity sequentially through a structured, multi-phase timeline: 1️⃣ The initial target aims to hit an annualized run-rate of 1 gigawatt of space AI compute by the end of next year. 2️⃣ The capacity scales to an annualized rate of 10 gigawatts within the next two and a half years. 3️⃣ The operational envelope expands to reach 100 gigawatts in three and a half years. 4️⃣ The long-term deployment plan scales directly to a full terawatt capacity per year using the output of the terafab. "The goal is to get to roughly an annualized rate of a gigawatt per year by the end of next year in terms of space AI compute. Then aspirationally, we want to scale that by an order of magnitude per year. In two and a half years, hitting an annualized rate of 10 gigawatts a year in space, and in three and a half years, maybe a hundred gigawatts, going beyond that with the terafab to scale to a terawatt per year." --- 🌕 Ultimate scaling via lunar production and mass drivers Elon Musk explained that scaling three orders of magnitude past a single terawatt forces a transition completely off-planet to avoid the logistical penalty of Earth's deep gravity well. The vision relies on establishing manufacturing infrastructure directly on the moon to leverage localized resource loops and zero-atmosphere physics: 🌙 The company plans to establish localized raw production lines on the moon to fabricate solar panels, photovoltaics, and radiators from lunar materials. ⚡ Manufacturing components locally avoids the massive fuel and mass penalties of transporting heavy structural materials from Earth. 🧲 Because the moon has no atmosphere and only one-sixth of Earth's gravity, the facility will utilize an electromagnetic mass driver to launch completed satellites. 🚀 Operating essentially as a linear electric motor rail gun, this mechanism will shoot fully assembled AI satellites straight into deep space without relying on chemical rockets. "The only way that we can really see that you can achieve that is on the moon with a mass driver, essentially where you do local production of photovoltaics, solar panels, and radiators on the moon. Because the moon has no atmosphere and only one-sixth Earth's gravity, you can accelerate the AI satellites into deep space without a rocket. You can basically shoot them into space using an electromagnetic gun, like a rail gun type—it's basically a linear electric motor."

Ming

22,203 次观看 • 3 个月前