Arnim Jain

📈 Curious about the startup scene in Massachusetts? Explore our detailed funding list featuring startup names, HQ locations, and investor info. Perfect for investors and entrepreneurs alike! Check it out: https://lnkd.in/dAp3xj-Q #startup #startups #venturecapital #funding #vc #managementconsulting

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Day 2 of Tech Equity Collective Innovate 2024 NYC: A Google Initiative Just like yesterday, Rachelle Olden gave us a warm welcome, and encouraged us to "be curious". I listened in on a panel of 4 well informed speakers Devin Graham, Gavin Leo-Rhynie, Frank Lamar, and Jessica Theodat (SiliconAlley Jess). My biggest takeaway from this discussion is to stay updated on tech news, be open to feedback, indulge in passion projects surrounding my interests. At its core, tech is about solving real human issues. I attended a small session led by Diogo Botelho (He/Him) focused on 7 tools that software engineers can use to level up their toolkit. It takes a lot more than writing great code, to be an effective team member. Following this was another small group session about how to thrive in the dynamic tech industry. Landis Huey discussed the importance of taking accountability, demonstrating flexibility in learning, willingness to receive feedback, and engaging in continuous learning. We broke into lunch, where i had some tacos along side a great conversation about the lack of representation of minorities in tech spaces. I also got a professional headshot taken! I joined my last session led by Saad Tariq where we used lego blocks to talk about innovation. In teams, we built structures that represented where who we are as individuals, and what innovation means to us. This hands on experience exceeded my expectations. We joined in a large group for the last time, with another wonder panel of speakers Dale Allsopp, Brooke Pearson, and Ruben Harris. They shared vulnerable stories from their own journeys in tech, and moments where tehy had "AUDACITY". They discussed the importance of simply introducing yourself, and saying "hello" without any expectations, and following up when given advice or recommendations. One question i will forever ask myself is "What will you do without any limits? Thank you #TechEquityCollective and MLT for organizing this wonderful event!

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Somewhere between a dollar slice spot and a rooftop view... 🍕🏢 Here are a few #NYC startups hiring #SoftwareEngineers that are on the verge of something big! 👀 - - - 𝟏. 𝐆𝐞𝐧𝐀𝐈 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐓𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭'𝐬 𝐭𝐮𝐫𝐧𝐢𝐧𝐠 𝐡𝐞𝐚𝐝𝐬 🚀 - With a product that is already clicking for customers, they're looking for folks of all levels to work at intersection of Product Engineering, GenAI/LLMs and Infrastructure to execute their ambitious product roadmap. 𝟐. 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐧𝐠 𝐭𝐨 𝐒𝐨𝐜𝐢𝐚𝐥 𝐆𝐨𝐨𝐝 😁 - Looking to build and own core projects 0-1 that leverage AI to make a real-world impact? Fresh off their Seed raise, they're looking for 2 engineers! 𝟑. 𝐅𝐢𝐧𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐰𝐢𝐭𝐡 𝐜𝐨𝐦𝐩𝐥𝐞𝐱, 𝐥𝐚𝐫𝐠𝐞 𝐬𝐜𝐚𝐥𝐞 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 📈 - An NYC FinTech making headlines multiple times recently are looking for multiple Backend and Infra focused engineers interested in high ownership & deep technical challenges. 𝟒. 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐨𝐫 🤖 - After their recent round, they're looking for engineers experienced with things like Distributed Systems, ML, and Data to help the continue pushing the boundaries on what can be achieved with AI. Do any of these roles sound interesting to you or look like they could be a fit for someone you know? Shoot me a message here or email at [email protected] - - - #NYCTech #Startup #Hiring #SoftwareEngineer

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I’ve been playing around with YC Founder Matching and it seems like everyone and their mother is interested either in 2-sided marketplaces or B2C businesses, even though they’re ostensibly the least profitable and hardest-to-get-off-the-ground business models there are. Why do people do this? You only have to take a glance at enterprise vs individual pricing to want to switch gears.

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Last night I had the fortune of representing LaunchDarkly at Sourcegraph's CodeAI Summit NYC. An important theme I took from last night's event? Context. Models like specifics. Computers can't read our brains or know what we want to achieve. Technology is kinda useless without the right context. As we move forward in this increasingly AI-generated world (for better and for worse) let us not forget the importance of adding context to the equation. Whether that's providing context to a dataset through how it was collected, sharing context of your repo to better aid a code assist tool, or simply providing context behind the why of our decisions. It's an interesting (and important) place to keep in our minds. #AI #MachineLearning #DeveloperAdvocacy #DeveloperEvents

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It was another action packed quarter at MGMT Boston. Here are the standout startups we highlighted in Q3 2024.. Sequentially: Sense, mabl, Customers.ai, Wicket, Form Health, EnFi, Inc, Crunchtime, OfferFit Native AI: EnFi, OfferFit ClimateTech: Sense Vertical & Horizontal SaaS (+AI): mabl, Customers.ai, Wicket, Crunchtime HealthTech: Form Health Seed Stage: EnFi Growth Stage (A-C): Customers.ai, Wicket, Form Health, OfferFit Late Stage (>C): Sense, mabl, Crunchtime Sense - a growth stage software company bringing better intelligence to the edge of our electrical grid mabl - growth stage software company building a unified platform to streamline testing across web, mobile, API, accessibility, and performance to bring innovation to QA testing because all software should be shipped quickly with enterprise level quality Customers.ai - a provider of website visitor identification and remarketing solutions that turn anonymous prospects into customers, using smart identification capabilities Wicket - changing the stadium experience through advanced facial recognition software technology so fans can get to their seats faster, enjoy themselves, and stadiums get to improve their operational rigor too Form Health - a virtual obesity medicine clinic that provides science-based obesity care to help patients achieve their weight loss and health goals EnFi - building an agentic, native AI software platform for financial institutions to give complex credit lenders the power of 10,000 analysts Crunchtime - a late stage vertical software company at $100M+ ARR that serves multi-unit restaurant brands, helping them deliver industry leading operational excellence in every location OfferFit - building an AI Decisioning platform that enables lifecycle marketers to automate personalization at scale, taking the tedium & pain out of A/B testing More to come in Q4!

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How do you sell to a new industry as a B2B company? Step one → Speak their language. 💡 For example, don’t tell a bank, “Buy my neural network.” Instead, say, “This will reduce losses from remittance fraud by $500M.” This is one of the key lessons from my conversation with Molham Aref, who has been building AI companies for over 20 years. At his latest venture, RelationalAI, he is creating an AI coprocessor for Snowflake. RelationalAI raised Series B of $75M from Tiger Global Management, Madrona Ventures and Menlo Ventures for building an AI Co-processor for Snowflake. Check out this snippet below—links to the full conversation are in the comments! #podcast #ai #snowflake #venture #founder #technology #machinelearning #genAI

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Adopting DX was a "no brainer" for Plaid. Their Platform Product Manager explains, "Building a similar solution in-house would be very expensive and non-differentiated. Additionally, we gained expert guidance from DX on leveraging metrics relevant to our business." After choosing DX, their team gained the insights they needed in about a week, starting with DX’s DevEx 360 product, followed by PlatformX for real-time surveys and Data Cloud for integrating quantitative metrics. "DX has transformed how we think about operating the platform, prioritizing investments, and defining success. It’s a cultural shift. Now, discussions are backed by data from DX." Curious how DX can drive similar results for your team? Check out the full case study – link in the comments. #SoftwareEngineering #DeveloperIntelligence #DeveloperProductivity #DeveloperExperience #PlatformTeam #Metrics #DX #TechTransformation #CaseStudy #DataDriven #EngineeringExcellence

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At Wednesday’s TechCrunch and StrictlyVC NYC event, Marc Lore shared a playbook for scaling a business that isn’t just a startup lesson—it’s a masterclass in making every detail count. Lore isn’t about growing for growth’s sake. For him, scaling means making each element bulletproof, so his company doesn’t just expand; it becomes unstoppable. First, Marc tackled execution. Wonder’s kitchens, for example, only use electric equipment—no hoods, no gas. Why? Efficiency, precision, and control. Every piece of the operation is streamlined to handle complexity at scale, making each move intentional, crafted, and ready to flex. But execution? That’s all about people. Marc hires rockstars—the relentless, the curious, the driven. And he doesn’t just throw them into roles; he builds a culture that lights people up. Once he’s got top-tier talent, he sets them up for growth. Think Taekwondo belts for career progression. His team knows exactly what it takes to climb, and that transparency fuels them. People are his engine, and he keeps that engine tuned for peak performance. Marc’s organizational structure? It’s built to evolve. Most companies create an org chart and leave it at that. Marc’s constantly adjusting to keep structure aligned with the mission, knowing rigid frameworks break under pressure. For him, scalability isn’t a buzzword; it’s a structure that grows with the company’s needs, keeping people, projects, and strategy in tight sync. Then came his approach to risk. In Marc’s world, the worst move is standing still. His “risk spectrum” philosophy makes boldness a survival tool. Marc knows that in startups, embracing risk isn’t optional—it’s how you stay alive and make it big. Doing nothing? That’s the real danger. Transparency is his secret sauce. Marc’s not locking plans away; he’s laying them out and setting high expectations. When everyone knows the play, people act like owners, not employees. This clarity doesn’t just build loyalty; it builds an unstoppable team. And here’s the big one: culture. Marc’s strategy is all about people who want to change the game. He’s not hiring placeholders; he’s hiring stars who step up, take ownership, and thrive in a high-ambition, high-standard environment. For Marc, culture isn’t an afterthought; it’s the core of his company’s strength and scalability. Marc’s lessons aren’t for those looking to skip steps. This is a roadmap for those ready to build something lasting, something big. At the end of the day, if you’re ready to take risks, be bold, and put in the work, Lore’s approach is the real deal. #Founders #Entrepreneurship #Scaling #FounderLessons #LeanIn #Growth #GrowthMindset #ExecutiveLeadership #Startups #StartupGrowth #TechEcosystem #StartupEcosystem #AlwaysBeLearning #Startups

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FounderTrac is putting together a curated list of resources for founders. Programs like AWS Activate and tools like Webflow, etc. This database will help founders find the tools and resources they need in a filtered, searchable database. I love using ClickUp, Figma, and Calendly. What are your favorite tools? Please comment with your recommended programs and tools that you have used and find value in. Thanks.

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JUST DROPPED: Menlo Ventures 2024 State of Gen AI in the Enterprise 𝟯 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝘀  1. Agents drive the next wave of transformation with automation 2. More incumbents to fall - when startups deliver superior AI-powered experiences, customers switch fast 3. AI talent crisis - expect 2-3x salary premiums for AI/ML talent 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: - OpenAI's enterprise share dropped from 50% to 34%, while Anthropic doubled to 24%.  - Enterprise AI spending hits $13.8B (6x YoY growth) - 51% of enterprises use RAG, up from 31% last year - Fine tuning is not as prevalent we thought (only 9% adoption), whereas agentic architecture is gaining (12% - Healthcare leads in GenAI adoption with $500M in spend - Code copilots lead the charge with 51% adoption, making developers AI’s earliest power users.  - 47% of solutions are developed in-house, while 53% are sourced from vendors (down from 80%)  -Price isn’t an issue; just 1% of enterprise leaders mentioned price as a selection concern

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🏀 In 2002, Wyc Grousbeck bought the Boston Celtics for $360 Million. In 2023, the Celtics were valued at $4.7 Billion. That's an increase of 1200%. Grousbeck is now looking to sell the team and it will likely sell for a value much higher than $4.7 Billion considering the continuing increase of team values and the positive momentum specifically for the Celtics, which includes winning the NBA Championship this year. While I expect NBA team values to keep growing, it's a great time for Grousbeck to sell after such a strong return on investment. NBA Teams are a fantastic investment and the Boston Celtics are such a cultural monument that the next person or group who buys the Celtics will have not only a power house sports team with religiously devoted fans, but also a great financial investment for the future. In 2001, the average value of an NBA franchise was $207 Million. In 2023, the average value of an NBA franchise was $3.85 Billion. (Via Statista) That's an increase of 1750% and we're looking at the average, not even zooming in on the most valuable teams. For example, this year Ron Burkle sold the NWSL team San Diego Wave FC for $120 Million after paying only $2 Million for the team two years ago. That's an increase of 5900%. While not everyone can afford to buy the Boston Celtics or the San Diego Wave, I've seen a lot of people look more deeply into sports investments for similar returns. There is an explosion of new sports formats, leagues, and teams as people take sports more seriously as an asset class. Each case study like Ron Burkle or Wyc Grousbeck and subsequent year that team values increase will encourage more investors to look more closely at sports. #celtics #sports #sportsbusiness #nba #basketball #investment

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Not sure if anyone has noticed... I saw a bunch of LI posts from YC's LinkedIn page showcasing (marketing) their portfolios. Almost immediately you have actual engineers and builders (mostly outside of SF) commenting on the technical limitations of said highly funded and valued startups. It's not verbose lazy commentary but actually very insightful and detailed "why would I use {YC portfolio}? When I can use {a,b,c} for 1/10th the cost". And such comments actually generate the most likes which for me signals x-SF/builder consensus on their amusement on how these folks got funded.

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YC pod 🎧: an early success story (+ exit) on building for transformative value with LLMs. Keys: 📚 domain expertise + 🤖 modular agent skills + 🔁 test-driven development.

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I went to Techstars demo day yesterday as part of #NYTechWeek - here are just a few of the startups i saw pitch who i think will become household names in the next few years: offe market - an off-price digital marketplace that has millennials' and gen z's favorite brands, think tj maxx but an app and way, way cooler Wedy - a B2B2C wedding marketplace that bundles services and provides custom wedding packages, helping make wedding planning way easier IAMBIC - creates size-inclusive shoes AI-tailored to perfectly fit your feet, something that is so desperately needed for all of us wide-footed folks out there Reelist.com - allows employers to post job specs and hire frontline and skilled labor workers directly off of social media, the very definition of meeting people where they already are Recepta (Techstars ‘24) - replaces paper receipts with a digital receipt that goes straight to your phone delivered via the POS terminal directly or QR code, a logical next step since tap to pay has become mainstream Tekkers - a hub for soccer fans where game highlights meets commerce, a one stop shop that provides community to 'football' fans worldwide

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