Deep S.’s Post

If your engineering team is short on time, money and resources, be sure to check out Sleuth's PULSE for details on how you can gain visibility into your efficiencies and make better decisions earlier. Learn more about how you our tool can align Engineering and Business needs - with PULSE, it's much easier than you can imagine!

some interesting pointers for wannapreneurs to explore. Thanks Ben Lang for sharing this

Y Combinator is often a good lighthouse when it comes to navigating the trends in new startup investment and market needs. Ben Lang has shared their interesting list of requests for for startups to be built. Thanks, Ben! Guess we have to start moving into space ship repair and maintenance with Trumpauto 🥳 #startup #trends #spacetech

Y Combinator has shared their traditional "Request for Startups" list that essentially names the areas with huge potential for starting a successful startup. Thinking of starting something? Here are the fields that top minds in this game say have a lot of potential: 1. USING MACHINE LEARNING TO SIMULATE THE PHYSICAL WORLD 2. NEW DEFENSE TECHNOLOGY 3. BRING MANUFACTURING BACK TO AMERICA 4. NEW SPACE COMPANIES 5. CLIMATE TECH 6. COMMERCIAL OPEN SOURCE COMPANIES 7. SPATIAL COMPUTING 8. NEW ENTERPRISE RESOURCE PLANNING SOFTWARE 9. DEVELOPER TOOLS INSPIRED BY EXISTING INTERNAL TOOLS 10. EXPLAINABLE AI 11. LLMS FOR MANUAL BACK OFFICE PROCESSES IN LEGACY ENTERPRISES 12. AI TO BUILD ENTERPRISE SOFTWARE 13. STABLECOIN FINANCE 14. A WAY TO END CANCER 15. FOUNDATION MODELS FOR BIOLOGICAL SYSTEMS 16. THE MANAGED SERVICE ORGANIZATION MODEL FOR HEALTHCARE 17. ELIMINATING MIDDLEMEN IN HEALTHCARE 18. BETTER ENTERPRISE GLUE 19. SMALL FINE-TUNED MODELS AS AN ALTERNATIVE TO GIANT GENERIC ONES

We shouldn't view technology as a threat to our intelligence, but rather as a tool to enhance our cognitive abilities and free up mental resources for more creative pursuits. The rapid development of technologies like AI/ML affords us the chance to delegate cognitive tasks to algorithms and focus on more innovative challenges. Instead of fearing technology's impact, we should view it as an assistant in our quest for knowledge, innovation, and problem-solving. #strategy #hyperscale #scaleups #bizgrowth #foundersadvice #bizmodel #innovation #fintech #insurtech #tokenization #productmanagement #web3  #TMinsights

🌟 Bridging the Gap Between AI/ML and .NET Core at Ziggasa 🌟 I'm thrilled to share my latest venture, Ziggasa, a cutting-edge startup focused on delivering AI-driven Q&A solutions alongside a human Q&A platform akin to Stack Overflow. 🚀 The Ziggasa Vision At Ziggasa, we aim to create an intuitive platform where users can receive intelligent, AI-generated responses while also benefiting from the wisdom of community-driven answers. This dual approach ensures that users have access to diverse perspectives and comprehensive solutions. 🛠️ Leveraging .NET Core .NET Core plays a pivotal role in our platform's development, providing the scalability and performance needed to handle dynamic interactions and real-time AI responses. By integrating .NET Core, we ensure that our AI models are deployed seamlessly, enhancing the user experience with efficient processing and robust application architecture. 🤖 AI/ML and .NET Core: A Powerful Combination Working with .NET Core allows us to harness the power of AI/ML models effectively, enabling Ziggasa to deliver precise and contextually relevant answers to users' queries. This integration exemplifies how traditional software development frameworks can synergize with advanced AI technologies to create impactful solutions. 🔗 Join the Journey I'm excited to connect with fellow innovators and professionals who share a passion for AI, software development, and transformative tech solutions. Let's explore the future of Q&A together! #AI #MachineLearning #DotNetCore #Ziggasa #Innovation #TechStartup

Why is AI dominating headlines in 2024? Let’s explore the biggest investments, valuations, and exits shaping this rapidly growing sector. Read more below🧵: 1/ NVIDIA NVIDIA’s competitive position in chips, processors, and systems for AI is hard to ignore - so is the 239% and 150% stock price growth in 2023 & 2024, respectively. Valued at an eye-watering $3.3 trillion, it is the world’s 3rd largest company behind Apple & Microsoft. 2/ ScaleAI Scale AI, which provides data-labeling services to companies for training AI models, raised $1bn this year alone. In total, it has raised over $1.6bn and is valued at around $14bn at the time of writing. 3/ xAI Elon Musk’s xAI raised an incredible $6bn in May to build an AI platform that will “accelerate human scientific discovery”. xAI is already valued at an impressive $24bn. 4/ Groq Groq, an AI chip startup promising faster AI than rivals, raised $640m in August in a Series D round led by BlackRock and is already valued at over $3bn. 5/ CoreWeave GPU infrastructure provider CoreWave raised $1.1bn this year. After 7 years of consistent growth, the company has been valued at an enormous $19bn. 6/ Safe Superintelligence Founded by OpenAI co-founder Ilya Sutskever and AI investor Daniel Gross, Safe Superintelligence raised $1bn from investors this year (including Andreessen Horowitz) and is valued at $4bn. 7/ IPO Exits This year has seen four stunning $1bn+ exits in AI. ➡ C3 AI, raised $228m, exit $9.6bn (IPO) ➡ FaceBank, Inc., raised $8m, exit $1.3bn (IPO) ➡ Mosaic ML, raised $64m, exit $1.3bn (M&A) ➡ SoundHound AI, raised $215m, exit $2.3bn (SPAC) Source: https://lnkd.in/exW98Esj 8/ Lucrative opportunities are plentiful and investment is pouring into this space in the billions, with billions also pouring out through successful exits. 

Y Combinator published a new list of requests for startups to build. For anyone exploring what to build next, below is the full list for you: 1) Government software -  AI to automate government tasks 2) Public safety technology - emergency response systems and law enforcement 3) US manufacturing - automated manufacturing using ML and robotics 4) Stablecoins 2.0 - business focused stablecoin management 5) LLMs for chip design - more efficient chip design 6) Fintech 2.0 - AI first financial products 7) Space companies - space infrastructure 8) AI-aided engineering tools - better engineering tools with AI 9) One million jobs 2.0 - focus on jobs that AI can't replace #StartupIdeas #YCRequestForStartups #TechInnovation #AIStartups #GovTech #PublicSafetyTech #USManufacturing #Stablecoins #ChipDesign #FintechInnovation #SpaceTech #AIAidedEngineering #FutureOfWork #AIandJobs #MLandAutomation #Entrepreneurship #TechForGood #Industry4point0 #YC

Are you looking to capitalize on the next wave of tech innovation? The attached article delves into the strategies for identifying the best companies to invest in AI, drawing parallels to past internet success stories. As a wealth manager and stock broker, I guide clients through high-potential opportunities, including pre-IPO investments in unicorn startups and well-established public companies. Let's discuss how we can position your portfolio to benefit from these cutting-edge advancements. Book a time with me today to start securing your financial future through strategic AI investments. Book Here https://lnkd.in/ex9YgEws #ai #aiinvesting #techinvesting #markets # stocks #shares

Exa Raises $17M from Lightspeed, Nvidia, Y Combinator to Build a "Google for AIs". Here's what you need to know: Exa's $17M Series A round was led by Lightspeed Venture Partners, with participation from Nvidia Ventures and Y Combinator. This brings their total funding to $22 million. Exa was founded by Harvard alumni Will Bryk and Jeff Wang. They are developing an AI-powered search engine optimized for the needs of AI agents, not human users. Exa's unique approach predicts the next relevant link rather than the next word, leveraging a dataset of web links instead of just text. This aims to provide AI systems with efficient access to accurate information. Exa's API-driven search engine has seen rapid adoption among thousands of developers and AI companies, including clients like Databricks. It positions Exa to play a key role in shaping how AI interacts with digital information. The $17M funding will accelerate Exa's product development and growth, allowing them to expand their AI research, engineering, and sales efforts significantly. Their focus is on building a search engine specifically optimized for the needs of AI agents, not benchmarking existing models. They are focused on providing AI agents with a reliable way to navigate the web and access accurate information.