Pukerainbow 🤮🌈
@pukerrainbrow • 82,353 subscribers
Hosted 1500+ shows with tech founders and brands New Media @pukecast // @AinsteinSkool Advisor @DinariGlobal
Videos
A 5-hour game that would cost $2M and 2 to 3 years the traditional way took one RYFT dev a week and a few hundred dollars. The team behind RYFT (RYFT CORP), Nomad and Neuro, explains how. RYFT is an AI-powered gaming platform where one prompt builds a playable game in about 15 minutes, and every game can launch with its own token. Before RYFT, Nomad and Neuro built Neural, whose token went from a 50K market cap to a $175M all-time high on Ethereum. RYFT reported about 2,500 games and more than 10,000 accounts in its first 15 days. On today’s episode: why Web3 gaming broke last cycle, how a single prompt becomes a playable game, what surprised them once people started building, and how every game launches with its own token. Timestamps 0:39 - 10 Million Lines of Code From Scratch 1:45 - From 50K to 175M Market Cap 2:55 - CTO Was on NVIDIA AI in 2015 6:15 - The Web3 Gaming Cycle Scam 11:17 - Gaming Never Had Its YouTube Moment 19:22 - We Didn't Know If Anyone Would Show Up 29:33 - Kickstarter on Steroids for Games 31:13 - Web3 Gaming Is BACK
Pukerainbow 🤮🌈13,044 次观看 • 11 天前
William Lindholm (William Lindholm🎂) says about 30% of the cakes Daymaker sends turn into meetings. One YC company sent 100 and got an 80% conversion rate into meetings on day one. He dropped out of law school, moved from Norway to San Francisco and turned a birthday cake startup into a platform where companies send cakes to prospects instead of cold emails. It works with about 140 bakeries and reportedly grew from roughly 10K to 130K in monthly revenue in six weeks. On today’s episode: why the birthday cake idea didn’t work in the US, how a pitch deck on a cake started cold caking, the delivery disaster that burned him out mid-fundraise, and why he wants Daymaker to become an ad engine that can send anything to anyone. Timestamps 0:00 Introduction 0:38 Welcome & Tech Hot Takes 2:00 Was DayMaker the First Company? 2:30 Fascination with Sales from Age 12 5:44 Not a Cake Person 6:15 Origin Story: Birthday Cake Company 8:30 Pivoting to Cold Caking 10:50 30% Same-Day Reply Rate 15:15 Worst Delivery Disaster 21:00 Future of Daymaker
Pukerainbow 🤮🌈15,493 次观看 • 16 天前
wait how is this even possible one prompt on RYFT CORP and you’ve got a playable game in about 15 minutes then you polish it with smaller prompts while agents test it for you Nomad and Neuro say one of their devs made a game with up to 5 hours of content in a week for a few hundred dollars the full ep goes deep on how 👇
Pukerainbow 🤮🌈10,347 次观看 • 10 天前
Marko (marko) joined Li Fi as one of its first eight employees five years ago and ran its marketing department, which went on to incubate Jumper inside the company. Jumper (Jumper) launched in March 2023 and hit $1B in monthly volume within six months. It has since funneled about $9M in incentives to users through Jumper Pass, and Marko is now taking the helm as it spins out into its own venture. On today's episode: why Jumper is a super app for onchain finance, why he thinks equity plus a token is a "double dipping" trap, and why he expects perps to beat RWAs over the next 6 to 18 months. Timestamps: 0:00 - Intro & Marco's Background 1:24 - Origin Story: From Li Fi to Jumper Spin-Out 4:41 - UI/UX, Chain Abstraction & Onboarding 8:26 - Multichain Shift: From Tribal to Chain-Agnostic 11:35 - The Super App Vision for On-Chain Finance 14:16 - Jumper's USP: Product Innovation & Loyalty Pass 19:04 - Token Sale & Token-Only Structure 25:36 - Future Narratives: Perps, RWAs & What's Next
Pukerainbow 🤮🌈27,068 次观看 • 1 个月前
Christine (郡主Christine (✱,✱)), co-founder of Axis Robotics spent eight years ago studying mechanical engineering and working with ABB and KUKA robots before pivoting through stablecoin payments and landing on physical AI data. Axis Robotics has raised $12M to build a distributed training engine where anyone with a browser can teach robots. The network already has 200,000+ contributors and a dataset of 50,000+ robot trajectories across 207 tasks. On today's episode: why noisy human data beats "perfect" AI data, why simulation might be the key to physical AI's GPT moment, and the uncomfortable truth about people getting paid to train the robots that'll eventually replace them. Timestamps: 0:00 Intro: Building the Data Layer Behind Physical AI 1:34 Hot Take: Noisy Data vs. Perfect Data 3:16 Why Simulation Data Will Bring the GPT Moment for Robotics 7:25 From Stablecoin Payments to Robotics Data 10:08 Why Axis Chose Data Over Building Robots 16:10 Live Demo: Training a Robot Arm Like Playing FIFA 24:02 How Contributors Get Paid (Tokens + Stablecoin) 26:42 Inside the $12M Seed Round Pitch 32:08 200K+ Contributors & Viral Growth via Base 38:38 Sim-to-Real: The Living Data Engine 41:34 Token & Web3 Plans for Axis Robotics 43:00 Rapid Fire Questions
Pukerainbow 🤮🌈24,836 次观看 • 1 个月前
day 1: road to sg 🇸🇬 token2039 recap > slept like a true degen for only 1hr > left malaysia at 5am > 5 hours on the road to reach sg > started at 0G Labs, met a robot dog > did a msia vs sg chicken rice test, verdict is in the video 👀 > attended Coinference X by TBV, then hosted a yacht night with FastX Exchange > closed out as Pukecast media partner The Best Event > hungout, discussed more cooks w the homies (tagged: love you guys) > 4 events, 3 pints, and 2 fully cooked dudes w MaeveKnows drop your SG food recommendations below warning: i will be critical
Pukerainbow 🤮🌈19,370 次观看 • 1 个月前
Joe Mattia (Joe Mattia | Quantus) has been in crypto since 2017, when his co-founder Chris handed him his first coins in the Bay Area. After years of dollar cost averaging and speculating, he saw quantum disruption as an opportunity and became co-founder and COO of Quantus Network (Quantus). Quantus is built as quantum-secure Bitcoin: proof of work, 21M supply and cryptography designed for a post-quantum world from the foundation. After its TGE, the team is working with Near on marketing and growing volume on Near Intents. On today’s episode: why the $2T crypto market has to migrate, why he doesn’t trust Bitcoin to coordinate in time, and why he calls quantum a structural change rather than a cycle. Timestamps 0:00 - Meet Joe Mattia, Co-Founder of Quantus 1:15 - From Crypto Investor to Quantum Believer 3:05 - The Quantum Threat: A $2 Trillion Migration 5:09 - This Isn't a Cycle — It's Structural Change 6:28 - Can Bitcoin Survive the Quantum Upgrade? 10:38 - What's Next for Quantus + Hot Takes
Pukerainbow 🤮🌈15,210 次观看 • 26 天前
A developer used the wiring of a fruit fly’s nervous system to play Chrome’s dinosaur game. Fly Dino, built by Mert Cobanov, uses part of a public dataset created by scientists from HHMI Janelia, Google Research, and their collaborators. The full map contains over 166,000 neurons, but Mert simulated a circuit of just 80. The game feeds information into the circuit, while a separately trained model translates its activity into actions like jumping and ducking. The bigger idea: when researchers make their work public, developers can turn scientific data into experiments anyone can try.
Pukerainbow 🤮🌈18,893 次观看 • 1 个月前
Someone is building the Erewhon of gas stations in Beverly Hills. Maggie’s Refuel plans to serve matcha, fresh pastries and soft serve while an attendant fills up your car outside. The real bet isn’t that people need more petrol stations. It’s that great coffee, pastries and ice cream can give people a reason to stop by even when their tank isn’t empty. Would you choose where to refuel based on the ice cream?
Pukerainbow 🤮🌈12,802 次观看 • 1 个月前
.Filip Panoski built a $15,000/month business around Reddit comments. His company, Bazzly, finds relevant Reddit posts, writes replies that mention a customer’s product, and can post them automatically. The appeal is obvious: someone is already asking for a solution. Your product gets introduced right inside the conversation, and that reply can keep getting discovered through Google. Filip says Reddit once drove half of Bazzly’s sign-ups. But here’s the catch: Bazzly also sells upvote boosts. When you can pay for a highly upvoted recommendation, are you seeing real trust or manufactured social proof?
Pukerainbow 🤮🌈15,802 次观看 • 1 个月前
.Vanshika✨ put 13 sponsorship slots on her body to fund a conference trip to Singapore. Brands could buy logo placements on her dress from $350, get listed on her website, and appear in content shared to her social audience. There was a twist: if another brand wanted your spot, it could pay double to take it. You’d get refunded, minus a fee. It’s the same sponsorship model athletes use, but applied to one person attending one conference. She gets help covering the trip. Brands get event exposure and content without sponsoring the whole event.
Pukerainbow 🤮🌈13,779 次观看 • 1 个月前
Firuz Alimov (Firuz Alimov) spent two decades in banking, finance, and consulting before co-founding Aether Builders, where he helps companies redesign their operations with AI and automation. He's consulted for 1,500+ companies and built and owned 60 himself. On today's episode: why "everything AI" is a trap, the $15K AI bill that made a Malaysian company quietly rehire humans, and the humanoid pitch that got him kicked out of a VC's room. 0:00 Intro & Guest Background 1:07 The "Everything AI" Problem 2:07 AI in Medicine: From NLP to LLMs 5:36 Humanoid Robots in Everyday Life 8:40 Building Aether Builders: $10M AI Transformations 10:31 Early AI Journey: OpenAI Playground to Video Generation 12:49 AI's Impact on Jobs & Industrial Revolution 15:44 Consulting 1,500+ Companies: Root Cause Analysis 29:49 Southeast Asia's AI Advantage 39:17 Rapid Fire Round
Pukerainbow 🤮🌈13,943 次观看 • 1 个月前
Singapore outranks Malaysia 1 to 68 in the Global Ai Race. How lah bros! Claude data shows that Malaysia is significantly underperforming in the AI race with a usage index of only 0.71. While Singapore leads the world, Malaysia is still mainly using AI for basic web debugging and school assignments. BUT this is all fixable, don't worry Malaysia! (more soon...)
Pukerainbow 🤮🌈23,311 次观看 • 6 个月前
I’m officially in the wrong profession. A 55-year-old Chinese millionaire just married her favourite streamer and casually dropped $8 million (RM32m) on wedding gifts. We’re talking luxury cars, real estate, basically a Monopoly board in real life. Talk about a massive lifestyle upgrade. Who knew that streaming could lead to an $8 million payout?
Pukerainbow 🤮🌈21,576 次观看 • 6 个月前
The AI black market is officially a thing… and it’s selling ChatGPT access for basically pocket change. Over in China, there are "transfer stations" popping up on GitHub and Telegram offering ChatGPT API access at prices that seem way too good to be real. We're talking about $1 for 100 million tokens. So how are they doing it? Some are reportedly using leaked API keys, some are outsourcing identity verification to get around KYC requirements, and others are pooling together thousands of subscriptions into giant shared gateways. It’s honestly kind of impressive... and also incredibly sketchy. Because the catch is that some of these services may be logging everything users type and reselling that data for AI training. So sure, you might save a few bucks on AI access. But your prompts could end up becoming the actual product.
Pukerainbow 🤮🌈11,452 次观看 • 5 个月前
