Bruce Taragin

We've mapped the 250 most relevant early-stage startups within the European data ecosystem! 🚀 Our coverage spans categories like Data Collection, Storage, Integration, Security & Privacy, and Platform. Discover how these startups are leveraging AI 🧠, the most active sectors 👩‍💻👨‍💻, and key funding trends 🏦. Don't miss the simple table listing all the companies! 😀 #AI #Europeanstartups #MMCresearch #vcfunding Advika Jalan

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Is it worth investing in YC companies at scale? Brian Bell from Team Ignite VC shares his thoughts on early stage investing, YC and more with Nataraj! Don't miss the full conversation 👇 #startups #venture #vc #yc #podcast

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How companies purchase software is rapidly evolving, with cloud marketplaces expected to reach $100B in 2026, up from $15B in 2023. Simply put, if you are building and selling cloud software today, it's imperative that you can sell through a cloud marketplace. The journey, however, can be a little confusing, and management can be even harder. With 3x growth last year and 3/4th of our business now flowing through a cloud marketplace, CloudZero switched to Clazar earlier this year to handle our rapid growth, and I couldn't be more thrilled. Trunal B. and Aayush Bahuguna have a big vision for how cloud marketplaces will evolve and how software will be bought and sold in the future. No matter where you are on your journey, learning from them what's coming next is worth your time.

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Every day I get more excited about Reality Defender! Deep Fake detection is THE emerging battleground in cyber. Check out this great interview with cofounder/CEO Ben Colman.

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The platforms Roy Schulte describes in his RTInsights' article Four Kinds of Software to Process Streaming Data in Real-Time increase in functionality starting with analytics and BI software and culminating in the unified real-time platform (URP). Roy’s analysis of the real-time stream-processing market is based on his decades of experience advising Gartner clients on improving or extending their data systems to provide better integration, include real-time data streams, decrease latency, and increase access. The URP is still an emerging type of platform responding to a growing appetite for including real-time data to automate decision-making, and now with GenAI, to provide more context via RAGs to results from models trained on historical data. Some use cases for a URP are: ▪️Fraud prevention ▪️Equipment failures and network bottleneck detection ▪️Real-time customer 360 solutions The URP is developing before our eyes so the list of vendors that serve as examples of what it comprises is more dynamic than other lists of providers. It will change rapidly over time as other software providers move to unify their product offerings into a URP or build tighter integrations with partners.  Roy’s article goes beyond the conceptual architecture of URPs to provide a great deal of detail about their technical requirements, including in embedded scenarios. Read the article here: https://lnkd.in/eBuizUFu #DataInMotion #StreamingData #RealTime RTInsights

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What are the 5 elements of Apollo.io's product-led growth motion that helped build their $1.6 billion business? Leandra Fishman goes into detail in this episode of Game Changers by Sequel.io 👇 1️⃣ 𝗧𝗲𝗮𝗺 𝗞𝗣𝗜𝘀 𝘁𝗵𝗮𝘁 𝗿𝗲𝗳𝗹𝗲𝗰𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗴𝗼𝗮𝗹𝘀 2️⃣ 𝗥𝗲𝘁𝗵𝗶𝗻𝗸 𝗰𝗼𝗺𝗽𝗲𝗻𝘀𝗮𝘁𝗶𝗼𝗻: driving product adoption is linked to compensation 3️⃣ 𝗗𝗶𝘃𝗲𝗿𝘀𝗶𝗳𝘆 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: video, live chat, webinars, etc. 4️⃣ 𝗠𝘂𝗹𝘁𝗶𝘁𝗵𝗿𝗲𝗮𝗱𝗶𝗻𝗴 𝗶𝘀 𝗮 𝗺𝘂𝘀𝘁: increase the # of stakeholders involved in purchase decisions 5️⃣ 𝗜𝗻𝘃𝗲𝘀𝘁 𝗶𝗻 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: communication, messaging, lead scoring https://lnkd.in/gRStVtzb

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Look forward to speaking at the Enterprise Generative AI Summit this week along side esteemed panelists Dr. Yvonne Lutsch and Mike Shirazi on the importance of data relevancy and data privacy considerations in next wave of LLM investments. #dataprivacy #GenAI #LLM https://lnkd.in/efj2egAG

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There are two interesting and relatively new/emerging revenue models in hardware space. (1) Software Enabled Hardware Hardware is sold at lower but slowly improving gross margins (eg 20-40%), and software recurring revenues layered on top. Software sells at higher margins, enabling blended margins to appear in 50%+ category. These are applied in situations where hardware is not expected to be replaced or greatly improved upon in deployment for a significant number of years to come. Consider your car, or military equipment, or even infrastructure equipment. As always, there are often multiple business/revenue models utilized by different players in the same industry. (2) Hardware As A Service Hardware and software are bundled and sold with annually recurring revenues. Often multi-year contracts are signed to be able to amortize hardware over time, and enable blended gross margins over the length of the contract to be high (approaching 60-75%). This is more common in situations where vendor takes responsibility to upgrade hardware as needed along the way to provide maximum and highest functionality to the customer. Hardware inventory costs are, over time, passed on to suppliers or third party financing parties in lieu of few gross margin points. Consider robots as a service in factories (ala Formic), or AI-enabled equipment (eg Evolv, Lumafield etc). Hardware innovation will require deeper investigation, experimentation, and understanding of business/revenue models to fit customer needs as well as to maximize value for the innovating company. Strong and experienced management teams work hard to minimize sales friction, inventory costs etc, but also maximize gross margins, customer stickiness, and ability to upsell during the life of a contract.

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Please enjoy the recent podcast I hosted with Haytham Allos on due diligence strategies for AI enabled proprietary applications. We are seeing more due diligence engagements with AI enabled tech platforms as the key value driver of the transaction. We dive into the key areas a mature AI enabled platform must have and key considerations related to these areas as a buyer. Please reach out to me if you are looking at these types of transactions so I can share some of the insights we’ve gained firsthand and the approaches we’ve taken to address the areas Haytham highlights in our podcast.

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The New York ecosystem for dual-use technology is small but strong and growing rapidly. Thanks to companies like Decisive Point and @a16z who continue to support the community with networking events for founders, investors, and community members. More and more founders are recognizing the value in partnering with the DOD as a strong way to support the country's national security interests while hopefully decreasing the tax burden on citizens regarding government spend as commercially available technology becomes more available and affordable for government organizations. Not only this, but the DOD serves as a great test bed and sandbox for emerging technologies and talent. #dualuse #emergingtech #defensetech #Kilsar

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What I appreciate most about how we designed the SMArtX Advisory Solutions platform is that we provide software to Turnkey Asset Management Programs as a FinTech, but we prove out every piece of our technology platform by using it to run a TAMP and servicing advisors ourselves. In tech this is called "Eating your own dogfood" or simply "dogfooding". Wikipedia says: "Eating your own dog food or "dogfooding" is the practice of using one's own products or services. Hence dogfooding can act as quality control, and eventually a kind of testimonial advertising. Once in the market, dogfooding can demonstrate developers' confidence in their own products." No matter how you cut it, whether we are servicing them directly or through our enterprise clients; the end consumer is the advisor. And servicing them through an "out-of-the-box" TAMP gives us the unique opportunity to hear the clients needs directly and hone our product and make it a better experience for everyone using it. So let's be both a TAMP and a FinTech while we sing along with Dierks Bentley and agree that SMArtX is "little bit of holy water, but still a little bit burning man"

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Enterprise GTM is broken! Why? There is so much noise! It's getting harder to get in front of decision-makers, send them valuable content, and build trust! Everyone is bombarded by stuff they don't want. So they don't see your content and messages. Our founder and board chair, SC Moatti, will be on TechCrunch’s stage to tell you about how to fix enterprise GTM, backed by her collaboration with Products That Count’s 500k+ product leaders. You can upvote her talk so more people can learn how to fix their enterprise GTM 👇

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🚂 Thinking of hopping on the AI hype train? Before you do, listen to our latest podcast, where investor Gautam Krishnamurthi of GreatPoint Ventures (and a Featureform investor) chats with Featureform's CEO Simba Khadder about the rapidly evolving world of AI and its impacts on the future of venture capital investing. They also discuss the latest trends in large language models (LLMs), venture valuations, and the impact of rising interest rates on the public markets. Lastly, you’ll learn about the transformative power of AI, how it's reshaping industries, and what investors seek in the next wave of groundbreaking companies. 🎧 Tune in to the full podcast here 👉 https://buff.ly/3RVX9ZL

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In this week's episode of the Mobile Dev Memo podcast, I discuss the American Privacy Rights Act (APRA) and its potential impact on the digital ecosystem with Alan Chapell, a lawyer and digital privacy expert. To listen, search for "Mobile Dev Memo" in your podcast platform of choice.

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The industry's first ADR (Application Detection & Response) platform! Congrats Daniel Shechter, Itai Goldman and the entire Miggo Security team for emerging from stealth and announcing a $7.5M seed round from YL Ventures, CCL, Runtime Ventures and security veterans from Google, Nike and others. Miggo's technology precisely discovers and maps the architecture of distributed applications to establish behavioral baselines and monitor for deviations from intended design or code execution flows. Leveraging live in-application context, Miggo determines if a deviation indicates that the application is exploitable, under active exploitation or backdoored, and initiates targeted mitigations to contain breaches by pinpointing the offender and affected areas to recommend precise remediation strategies.

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🚀 The Kima x Zo.Me AMA Starts TODAY!🚀 🔥Get ready for an engaging AMA between Kima and our partners, Zo.Me! 🌟Discussing  "The role of liquidity and interoperability in DePIN and AI," our Co-Founder and CEO, Eitan Katz, will delve into: 🙌How Kima tackles the #Web3 fragmentation issues 🙌How Kima manages interoperability across different chains 🙌How we connect TradFi with decentralized finance 🙌And more ✅When? July 4th ✅Time? 3 PM UTC 🔗 Join us here: https://lnkd.in/eSbNUJWi

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Our NYC Enterprise Operators Retreat is back🗽🚀 #LFGNYC2024 An IRL, high-impact day at Bear Mountain State Park where 100+ of NYCs top SaaS and Infra leaders get to connect about the journey from 0 to 1 with incredible speakers and outdoor summer activities (boating, archery, brews & more). To start off our inspirational morning: 🗽 Alexis L. Co-Founder & CTO Datadog will be giving a fireside chat on how he helped shape the company into a powerhouse for cloud monitoring with their 2019 IPO solidifying NYC as THE home and hub for enterprise tech. 🚧 David Politis Founder BetterCloud will give a keynote on the surprising roadblocks that arose during his 12+ years as CEO amidst headlines achieving millions in ARR, hiring 1000s, and raising from top VCs. Our afternoon will continue with tactical convos: ✅ Founder Journey: Dimitri Sirota (BigID) & Nitzan Shapira (Epsagon) ✅ Product: Nan Yu (Linear) ✅ Pre-Sales Engineering: Eliot Knudsen (Databricks) ✅ Sales: Varun Anand (Clay), Robert Williams (Merge), Taylor Linton (Hugging Face) ✅ SaaS Marketing: Jane Kelly (Retool) & Rachel Dines (Chronosphere) ✅ Dev Rel Marketing: Peggy Rayzis (Apollo GraphQL) & Bear Douglas (Pinecone) If you’re a Sales, Marketing, Product, Customer Success, Engineering, or other functional lead at a fast growth company in NYC, don’t miss out on this (free) event! ➡️ We only have a few spots left - so apply in comments ⬅️

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It’s exciting to witness how the hyperscalers are enabling a hyper-collaborative marketplace ecosystem that allows the multiplication of revenue opportunities. I see this happening in two ways 1️⃣ ISVs are being encouraged by hyperscalers to build with interoperability in mind 🔧 All three #hyperscalers have, over the course of the last few years, incrementally deepened their partnerships with on-page "competitors" like Salesforce and Snowflake to break data silos and leverage #GenAI on more comprehensive data sets. AWS, GCP and Azure are not just strengthening their own associations, but they are also actively encouraging collaboration between these ISVs to drive interoperability, aimed at the creation of joint solutions that significantly expand the universe of customers who can benefit. Snowflake’s most recent Polaris Catalog launch also reaffirms its commitment to interoperability with a wider library of industry players (beyond the three clouds) including hyperscaler partners like Salesforce and Confluent. That brings me to point 2…. 2️⃣ Hyperscalers are actively inviting the participation of channel partners to piece complementary solutions together 🤝 As ISVs focus on creating compatible offerings with each other, and with hyperscaler services, buyers have the opportunity to find end-to-end solutions for specific use cases right from the marketplace catalog. To do so, they’re relying on partners to identify, connect and manage these increasingly complex technologies. This presents a tremendous opportunity for channel partners to add value to these marketplace-led deals by helping piece solutions together into a comprehensive whole. Hyperscalers are also cognizant that the “channel is the glue between them and the lower enterprise, midmarket and SMB,” as I’ve hear my friend and founder of Ultimate Partner Vince Menzione put it, and are actively developing strategies to incorporate channels into marketplace deal workflows. There’s a clear signal to shift the perception of marketplaces from being potential threats to traditional partnership associations, to what they really are – growth opportunities. Channel partners who recognize this sooner rather than later, have biggest opportunity to capture net new business.

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