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Announcing Google for Startups AI Academy India 2024 supported by @MSH_MeitY, a series of 3-day bootcamps across 7 cities. It is designed to help early-stage startups create human-centered AI solutions. Apply now: 📈We're teaming up with Kerala Startup Mission, IIT Madras, IIMA Ventures, IHFC, T-Hub, MATH - ML &...

13,056 просмотров • 1 год назад •via X (Twitter)

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🚀 Early Access to Sahara AI Studio is NOW OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:

Sahara AI 🔆

2,700,851 просмотров • 1 год назад

FinChat is now Fiscal .ai — Announcing our $10M Series A and Rebrand Today we begin writing the next chapter of our Company. We have officially rebranded to Fiscal .ai to build the future of financial data and AI. With this, we are excited to announce our $10M USD Series A funding led by Portage Ventures and continued support from Social Leverage. When we launched FinChat in 2023, our mission was to empower everyone to query financial data at scale. As we’ve grown, so have our ambitions — beyond the Chat interface. Fiscal .ai represents a bold new vision: to power modern financial data infrastructure through our Terminal and APIs, transforming how the world accesses and uses information in capital markets. With already over 350,000 registered users and top fintech platforms worldwide leveraging Fiscal .ai’s APIs to serve millions of end users, we are completely rebuilding how investors get the information they require and interact with it day to day. We may have a new name, but our mission remains the same. Our Team is committed to building beautiful, powerful products — fast. Fiscal .ai represents the modern intersection of finance + AI and where we will be doubling down. We believe AI will fundamentally change how information is collected and presented in every role across finance. We’re deeply grateful to everyone who has supported us along the way — our customers, partners, employees, investors, advisors, and families. Braden Dennis Cofounder & CEO, Fiscal .ai (formerly FinChat) Direct media inquiries to [email protected]

Braden Dennis 📊

41,678 просмотров • 1 год назад

I think I've stumbled onto the future of building startups. It wasn't supposed to happen this way. It's 2 AM. I'm editing a podcast, questioning every life decision that led me here. I've already burned through hundreds of thousands on this thing since 2021. Zero monetization. Just burning cash. My business partner's probably thinking I've lost it. We're juggling 6 businesses, and here I am, playing wannabe Joe Rogan. Then it hit me. Not during the podcast. In the darn comments section. I start sorting comments by "contains question" using this AI creator tool called VidIQ. "How do you validate ideas?" "What tools do you use?" "Can you dive deeper on XYZ topic?" These questions keep popping up. Over and over. That's when the lightbulb went off. What if I could turn this into a lead magnet machine? Find questions. Answer them with free stuff. Rinse. Repeat. I team up with Design Scientist to crank out 2 lead magnets a month. (Tried doing it myself first. But it was hard lol) We start pumping out things like "6 Tools I Use to Find Startup Ideas." Suddenly, I'm drowning in subscribers. 10,000 to 20,000 a month. On autopilot. Now, you're probably thinking, "Cool story, bro. But how's this a big idea?" Clarity of what to build is probably one of the most valuable ways to build products people want. You have to understand a niche's problem better than they even know them. Problem: what's the roadblock keeping founders stuck? Segment: group these founders by their specific obstacles. Product: build the bridge that gets them over their hurdle. I use ConvertKit like a scalpel, dissecting these segments. Not by age or location. By the problems they're desperate to solve. Suddenly, I'm staring at a treasure map of founder pain points. And that's when you can build startups to solve their problems. Instead of being a lead factory, you become a startup factory. You use tools like v0/replit/cursor to prototype like a madman. And it makes your life less stressful as a founder. Because you know people are lined up to buy the products. I'm so convinced this is the future of startup building, I've bet $1M+ of my own cash on it. Building startups to solve people's problems. And cool part is this blueprint can be replicated in any niche. The best SaaS ideas aren't in some Silicon Valley incubator. They're hiding in your "free" content. Think of it like this (Isenberg's formula?): (Engaged Audience) x (Targeted Lead Magnets) x (Problem-Centric Segmentation) = Product-Market Fit on Demand Here's the step-by-step: 1. Use AI/software to categorize every single audience interaction by problem type. Build a heat map of pain points. 2. Create ultra-specific lead magnets for each major problem cluster. Think "5-Step Framework for Validating SaaS Ideas" not "Generic Startup Guide". I also use free communities as lead magnets. 3. Forget demographics. Segment by the problem they're trying to solve. Use ConvertKit to build dynamic segments that would make Zuck jealous. 4. Use AI to build rapid prototypes for top problem clusters. Test with your segmented lists for instant feedback. Your next cash-flowing business is probably stuck in a comment somewhere, just waiting for you to notice it. I accidentally built a startup factory at 2am. Happy I did. Sharing in case this is useful to anyone out there. The future of startups: 1. Be a content factory 2. Be a lead factory 3. Be a startup factory

GREG ISENBERG

128,523 просмотров • 1 год назад

InterLink’s Journey to the World’s Top 10 Most Accurate AI Models Artificial Intelligence has rapidly become the defining force of this decade powering breakthroughs across every industry. But while most projects chase trends, InterLink Labs 👤 + 🌐 has been quietly building something deeper: an AI ecosystem grounded in verified human intelligence. Long before AI captured global headlines, InterLink Labs 👤 + 🌐 had already begun its research and engineering efforts back in 2019, assembling a world-class team of engineers and researchers from Big Tech companies and top QS-ranked universities. Their vision was clear - to build a model that truly understands humans, not just data. Unlike traditional AI systems trained purely on digital information, InterLink Labs 👤 + 🌐’s Human-AI Model learns from verified human behavior across millions of Human Nodes. This unique layer of authentic, real-world human input gives InterLink’s AI an unprecedented advantage in trustworthiness, bias reduction, and contextual understanding. Beyond algorithmic optimization, InterLink Labs 👤 + 🌐’s R&D efforts are being scaled to an unprecedented level. The team operates over 100 NVIDIA H100 servers, processing massive volumes of verified behavioral data contributed by real Human Nodes across the world. This data - diverse, decentralized, and human-validated forms the foundation of a next-generation intelligence system designed to mirror real human reasoning patterns. At the same time, InterLink Labs 👤 + 🌐’s AI-powered Human Credit Score applies advanced machine learning to analyze authenticity, contribution, and reliability. Creating an ethical model of digital reputation and fairness. Aligned with National Institute of Standards and Technology (National Institute of Standards and Technology) evaluation standards, InterLink Labs 👤 + 🌐 now aims to achieve Top 10 accuracy globally among AI models. Competing with research teams from Samsung Electronics, Kakao, キヤノン株式会社 / Canon Inc., and other global giants, InterLink Labs 👤 + 🌐’s engineers continue to train, benchmark, and refine their architecture daily to reach world-class precision and consistency. But this is more than a technical race. It’s a human mission. Every verified user contributes to the world’s first Human-Powered Intelligence Network, where real people fuel the evolution of trustworthy AI. As InterLink Labs 👤 + 🌐 advances toward global National Institute of Standards and Technology recognition, one truth becomes clear: The future of intelligence won’t be artificial. It will be human-powered. #InterLink #ITLG #ITL

InterLink Labs 👤 + 🌐

51,489 просмотров • 9 месяцев назад

$ASI watch out! We've got more projects popping up on Bittensor and $TAO and just starting, Akash $AKT, Shell $SHELL, Einstein-AIT $AIT, Sturdy $STRDY, Stratos $STOS and Comtensor $COMAI and more. Each pushing what's possible with AI and crypto. MyShell: $SHELL First up, MyShell is doing something amazing work. They're all about making AI chat like humans. They're using this TTS Subnet on Bittensor, powered by thier tokens, to make it happen. AI doesn't have to be complicated thing only some can use. They want everyone in on the action, making AI smarter in the process. Einstein-AIT: $AIT Then there's Einstein-AIT. Imagine this as the network's brain but on a turbocharge. It's all about math, logic, and crunching numbers. This subnet makes the whole Bittensor network sharper. They've got NumPAL, and it's like giving the AI a smarter way to think about time and dates automatically. Sturdy: $STRDY Jumping into DeFi, we've got Sturdy. These guys are on a mission to make lending and borrowing way less of a headache. They've got isolated lending pools, you can pick and choose how to manage your risks and money. And they're using some serious tech to keep your investments growing without you needing to babysit them. It's like having a smart financial assistant. Comtensor: $COMAI Comtensor is where it gets interesting. Think of it as a bridge between CommuneAI and Bittensor, kind of like the best of both worlds. It's about making sure all these AI modules and subnets can talk to each other smoothly. The goal? To boost decentralized AI by making everything more connected and smart. Stratos: $STOS Teaming up with τensorage to supercharge the $TAO ecosystem on Bittensor. Stratos is all about solid, decentralized storage - think of it as the bedrock for making sure data's not just stored but also used right . Then there’s τensorage, making sure everything AI needs is stored safe. Together, they’re making sure Bittensor's AI brainpower gets a boost, making everything faster, safer, and smoother. Akash: $AKT Compute Subnet 27 linked up with Akash. All about keeping things open-source. With Akash as a decentralized GPU provider into the mix. Giving access to top-notch AI processing power on top of Neural Internets compute-composable subnet, integrating various cloud platforms. This partnership is all about breaking away from those giants and opening the doors wide for smaller teams and startups who need this tech to innovate. Whats this all about? Making decentralized AI a something that everyone can get behind and into. Whether it's chatting with AI, boosting the network's IQ, DeFi, compute or making sure all these projects work together, it's about pushing forward. Each project has its own way of making things better, faster, and smarter for all of us. Inviting everyone to join in, contribute, and be a part of community effort to make AI not just for the few but for everyone. Credit to Mr.Franc Q for the awesome video production!

Andy ττ

18,405 просмотров • 2 лет назад

Abridge raises $300M Series E funding round led by a16z, and joined by Khosla Ventures to pioneer a new paradigm of care with intelligence at the point of conversation. 🚀 David George, 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝗮𝘁 𝗔𝗻𝗱𝗿𝗲𝗲𝘀𝘀𝗲𝗻 𝗛𝗼𝗿𝗼𝘄𝗶𝘁𝘇: “Abridge eliminates inefficiencies at their source, directly in the clinical conversation, with a platform that has demonstrated tremendous traction and impact in the market. This is a company with truly rare ingredients: world-class clinical and technical leadership, deep scientific credibility, and AI technology that is years ahead of the field. Abridge has both the vision and velocity to create lasting, systemic change, and we are thrilled to be part of their journey.” Abridge is now deployed at 𝟭𝟱𝟬 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗵𝗲𝗮𝗹𝘁𝗵 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 and will support more than 𝟱𝟬 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 this year alone, across specialties, care settings from outpatient to ERs to inpatient workflows—all with 𝗰𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻 𝗿𝗮𝘁𝗲𝘀 𝗼𝗳 𝗼𝘃𝗲𝗿 𝟵𝟬%. This is a new standard for delivering impact at scale for enterprise-grade AI in healthcare, and it’s just the beginning. Read more here:

Abridge

14,346 просмотров • 1 год назад

The era of the specialist is over. Full-stack GTM athletes are taking over. For too long, GTM has been divided into specialists, creating a soul-crushing web of dependencies: - Sales needs a custom business case to close a deal, but Marketing is slammed. - Marketing has a winning campaign idea, but design and engineering can’t prioritize it. - CRO has 5 ideas for increasing sales productivity, but no GTM engineers to execute. In GTM, speed is everything and dependencies are the enemy. That's why we're giving GTM teams the full-stack capabilities they need to close revenue. Welcome to the era of the GTM Athlete. These are people who don't ask permission or wait in queues. They can do whatever is needed to take deals from cold to closed—research accounts, launch ads, create a business case, generate tailored follow-ups, and close deals. Sales rep brainstorms with their champion how to convince the CISO. 30 mins later sends them a polished business case with security architecture and ROI. By lunch time, she launches ads to the entire buying committee. The next day, the rep presents a custom deck to key decision makers and gets verbal commitment. No more begging. No more waiting. No more losing. Our vision is to build the AI Swiss Army knife that turns specialists into GTM athletes. Today we are launching a critical capability that enables this vision: an AI agent that can create anything customer facing. You can now create executive business cases, deal follow-ups, landing pages, ABM campaigns and more, all by yourself. Unlike other AI tools, our agent plugs into your brand and data to create materials that actually look and sound like you. Sign up on our website. We're letting people off the waitlist every day, with 30 days of unlimited AI usage. I’d love to hear your feedback.

Jaleh Rezaei

219,411 просмотров • 6 месяцев назад

Today, we're announcing a $60M Series B led by Battery Ventures, bringing our total funding to $85M in just under a year. Also joining the round are founders and operators who’ve built generational companies of the last two decades – tobi lutke (CEO, Shopify), arash ferdowsi (Dropbox), Claire Hughes Johnson (Stripe), and more. The round came together in 6 days. Here's why. Every major category in enterprise software is seeing multiple AI-native challengers. CRM, ERP, ITSM – all being rebuilt from scratch by a new generation of companies applying AI to solve persistent problems we couldn’t before. Employee Management (also known as HCM) is the exception. It’s the last frontier, and we believe the most important one. The operating layer to manage people, run payroll, benefits, compliance, and IT, for every company in the world, is still built on architecture that predates AI by decades. This fundraise is the story of how Warp is changing that. The average Warp customer is growing 5x faster than their peers, with 1/10th of the HR and admin overhead. We’re seeing a massive shift happening in how the best companies run their people operations. From the fastest-growing AI-startups to massive public companies, the winning teams are running lean: HR, finance, and ops generalists who automate as much as possible, and use their time instead for strategic work that AI can’t automate. Warp is the platform of choice for ambitious companies operating at this new pace. Legacy HCMs help humans track the work. Warp uses AI to proactively complete the work. Workday was built for the last era. We're building for the next one. And it’s working. We've – - Doubled ARR in Q1 - On track to $2B+ payroll volume this year - Signed enterprise customers with thousands of employees - Launched entire product lines back-to-back: Warp benefits brokerage and Warp Fabric (our AI-native IT automation suite built in-house). A few thank-yous: 1. Our customers, the fastest-growing companies in the world, who trust us with their most critical systems. We wouldn't be here without you. 2. Our team - 50+ people in NYC who've built this platform, taken on the hardest problems in business-critical software. We're just getting started. 3. Our investors doubling down in this round, and some of our earliest believers – Sound Ventures (ashton kutcher, Effie Epstein), Derek Grant, (Arnav Sahu), Harj Taggar at Y Combinator, Balaji, Kevin Hartz, Kyle Vogt, Amjad Masad, HOF Capital (Fady Yacoub), colinevans (OpenAI) We're here to arm ambitious American companies with Workday-grade power, but with the usability and delight of an Apple product. With this new funding, we plan to fund deeper AI agents, tax and compliance infrastructure, expand our product suite, and support even closely our fast-growing customers. Come join us.

Ayush S

1,110,498 просмотров • 1 месяц назад

yesterday, i stumbled onto the most underrated market research tool. tiktok creator insights. it's a goldmine of consumer behavior data, hiding in plain sight. and it's free to use. here's why it's powerful: 1. shows you what people are desperately searching for 2. highlights topics with high demand but low supply 3. reveals trending questions in every industry 4. tracks search growth over 14-day periods the "content gap" tab shows you problems people are actively trying to solve, but can't find good solutions for. so that's cool for a couple reasons 1. help you create content that has low supply/high demand (better chances of going viral) 2. you can build startups to some of these trends Example: i searched "email management" and found: • "how to clear 10k emails" • "best way to organize work inbox" • "email templates for busy people" thousands searching. hardly any solutions. the beauty of this • it's real-time market research • it's actual user intent • it's completely free • and most founders aren't using it a bunch of smart founders are mining tiktok insights right now it isn't perfect, but you never know what you might find your next startup idea might be hiding in those search trends. So, ill share how to access it because it’s kinda hidden: 1. Go to TT search 2.Type in “creator search insight” 3. Tap view im one of those people that think using data like this is your unfair advantage. if tiktok is the new search engine, then tiktok creator insights is the new google trends. might as well use it.

GREG ISENBERG

265,916 просмотров • 1 год назад