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Portsmouth, New Hampshire, United States
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Pardha Ponugoti shared thisToday I'm starting a new role at Arc building better financial management tools for startups! I'm excited to join my good friend Nick Lombardo for this next chapter in my career. Arc allows me to draw from my experience working at fintech startups, building for small businesses at Square, and as a founder. Sygma was a customer of Arc and now I'm excited to join the team that's built a fantastic product. Founder friends - talk to me about how we can be helpful!
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Pardha Ponugoti posted thisSharing some updates with my network: 1. Wound down Sygma In October of last year we made the difficult decision to shut down Sygma. Though I didn't achieve what I had set out to do, there were a lot of learnings along the way that I'll take with me moving forward. Founders in my network: feel free to reach out at any time if you are facing challenges at your startup. Plenty of people helped me on my journey and I'm more than happy to pay it forward. I want to thank our backers who had unwavering belief in us. Costanoa Ventures (John Cowgill), Torch Capital (Christopher Harper), Cursor Capital (Badrul Farooqi), and many angels. I especially want to thank all of our employees for your hard work and belief in the company. We were able to build a lot with a small but mighty team. Two Sygma customers ended up on Time's 100 Best Inventions of 2025 and we're happy to have played our small role in getting their products to market! 2. Moved to New Hampshire Since then my wife and I moved to Portsmouth, New Hampshire in preparation of starting a family. We've met a number of founders and builders here already and are excited to meet more. Shoutout to Raechel Lambert for building an excellent community and also for including me on some really exciting initiatives. If you know someone I should meet up here please let me know! 3. Had a baby boy! Not completely work-related but we had a baby boy and I've been taking some time off after a few months consulting with AI startups.
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Pardha Ponugoti reposted thisThermaspire Technologies is redefining how we cool the AI data center to reduce power and water use. Traditional evaporative cooling has long been a "necessary evil"—efficient at cooling, but notorious for high water consumption and wastewater discharge. We’ve changed the math. By leveraging the thermodynamic advantages of evaporative cooling, we slash data center power demands while our proprietary technology: • Cuts water use by up to 25% through integrated reuse of wastewater. • Achieves Zero Liquid Discharge, eliminating the wastewater traditional systems leave behind. • Grows biomass with captured waste heat and water. We aren't just cooling the cloud; we’re building a circular ecosystem for the future of computing. Learn more at thermaspire.com!Pardha Ponugoti reposted this🔗: https://on.wsj.com/3Zgpopl Howell Township, a conservative farming area in Michigan, is known for being friendly to businesses. But when a developer proposed converting 1,000 acres of farmland into a massive data center for training artificial-intelligence models last year, the community fought back. The planning commission and county planning commission eventually voted not to advance the project, a potential $1 billion site for Facebook parent Meta Platforms, and the developer recently withdrew its request after Howell Township put a moratorium on new data-center development. The battle is part of a nationwide resistance to the AI boom, challenging President Trump and others who have embraced the technology. Fearing rising utility costs, job losses and privacy violations, locals blocked or delayed about 20 projects around the country representing nearly $100 billion in combined investment in the second quarter of last year, according to Data Center Watch, a research firm tracking the fights. Many of them belong to tech giants including Meta and Amazon.com, fueling battles from Indiana to Oklahoma.
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Pardha Ponugoti shared thisYesterday, Time announced its 100 Best Inventions of 2025. Looking through the list, it was so cool to see all the companies I'm connected to. First, the list features, not 1, but 2 Sygma customers! - https://lnkd.in/eWdYNAuq (Square Handheld) - https://lnkd.in/emxhFQ3z (Ozlo Sleepbuds) Also two products my friends have built. Go Lucas Lappe and Jeff Lloyd! - https://lnkd.in/eek7mpt4 (Warp) - https://lnkd.in/ePXccNje (Canopy) And lastly, two companies that I was lucky enough to back during their early stages 🚀 - https://lnkd.in/eMs4jCBy (Firefly) - https://lnkd.in/epVjsu68 (Lotus - Dhaval Patel is freaking awesome!) During my career I've been lucky to cross paths with some of the most impressive and creative people, and it's cool to see them honored in Time's Best Inventions of 2025. Congratulations to all on the list!
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Pardha Ponugoti shared thisWe have been working on something new and I'm excited to share! Last week, we launched an app to the App Store - our first time building an app from scratch! It's called Magic Number, and it gives you a separate work number that comes equipped with an AI assistant that helps you remember specific details, understand customer intent, and find information quickly. For those who use Fireflies or Granola on video calls, this brings the same functionality to a phone number. We've been testing the app internally and are ready to open it up to a limited group of beta users. If you're interested, comment "MAGIC" and I'll DM you with the invite code. Link to the app in comments.
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Pardha Ponugoti shared thisMost companies don't have the resources to airlift their product on a whim. We'll be releasing our tariff planning tools later this week for a private beta. If you're interested in getting early access, email hello@sygmahq.com and we will help you get set up. https://lnkd.in/ereWFZiAApple airlifted iPhones worth a record $2 billion from India in March as Trump tariffs loomedApple airlifted iPhones worth a record $2 billion from India in March as Trump tariffs loomed
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Pardha Ponugoti shared thisWe're quickly building tools to help teams navigate the uncertainty of tariffs. Ground truth information is changing on an almost day-to-day basis, making planning for all scenarios nearly impossible. Sygma's AI can run scenario analyses across a number of possible outcomes, helping teams make better decisions for what to do with their hardware businesses. During this time, we're offering our services for free to a few more customers. E-mail hello@sygmahq.com if interested.Pardha Ponugoti shared thisTariffs are creating a lot of uncertainty. Sygma's AI can help you plan for the unknown.
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Pardha Ponugoti shared thisHardware teams dealing with tariff uncertainty: The Sygma team has been working on an AI-powered solution to help you navigate the uncertainty associated with tariffs. Our platform will help you understand their impact on your business, what your alternatives are, and run scenario analyses on those alternatives. We're going to provide our services for free to a handful of customers during this time. Email hello@sygmahq.com if you are interested!
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Pardha Ponugoti shared thisThis week Shopify's internal email was made public, titled "AI usage is now a baseline expectation". It's great to see this explicitly laid out by a CEO. Most companies are dipping their toes into using AI (or using AI performatively) but Tobi Lutke is forcing the whole org to take the plunge with clear principles around it. I especially like number 5: "Before asking for more headcount, teams must demonstrate why they can't get what they want done with AI". Companies who adopt this philosophy sooner than later are the ones who are going to benefit the most as AI models continue to improve at an exponential rate.
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See projectA visual art project I created which recreates famous paintings on an HTML canvas emulating the technique of pointillism
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Caitlin Bolnick Rellas
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Matthew Tillman
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🤔 LLMs will continue to make people a lot of money. They will also continue to pay for massive infrastructure investments. However… …they will not produce an AGI. While I believe humans will eventually create an AGI, it will likely be a very different style of mode (pipeline) than what we have today and probably created or at least enabled by people and companies who don’t yet exist.
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Boris Wertz
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Robotics is such a fast-moving field right now w/ lots of key strategic questions that need to be answered by founders and investors in that field: - Will hardware be fully commoditized over time and software becomes (again) the differentiator? - Is the opportunity in vertical robotics (focused on a specific use case) or in generalized humanoids (or perhaps both)? - Is Robot-as-a-Service (RaaS) the prevalent business model going forward? Great blog post by my partner Angela Tran investigating these (and other) key questions (link in the comments below)
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Marvin Kennis
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It took 67 years to go from steam engine to factory. Then another 144 years to optimize and organize those processes into productive assembly lines. Implementing isolated pieces of technology is often pretty straightforward. Finding the most efficient way for humans to work alongside it usually takes a little longer. Slide courtesy of Konstantine Buhler at Sequoia Capital (video linked in comments)
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Ryan Durkin
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Ali Rohde
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Murat Aktihanoglu
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Developing a new thinking: Memory > Pipes AI isn’t destroying software moats. It’s relocating them. The 3 Phases of Software Moats: 1) Vertical SaaS (Past) Moat = Data lock-in. Proprietary schemas. High switching costs. Backward-looking defensibility. 2) Embedded AI (Present) AI inside silos is context-starved. LLMs aren’t weak — system architecture is. Fragmented context = fragile outputs. 3) Horizontal, Agentic AI (Emerging) Tools like Claude Code and open agent frameworks point to a new layer: AI reasoning across systems. Interface collapses. AI becomes the orchestration layer. Apps become tools. Where the Real Moats Will Form: Not in integrations. Not in wrappers. Durable defensibility will come from: * Compounding Memory → persistent, longitudinal understanding of users and teams * Domain-Specific Orchestration → reliability in high-stakes workflows (finance, legal, healthcare) * Workflow Network Effects → shared institutional intelligence Trust Infrastructure → auditability + compliance + governance Hence: Memory > Pipes APIs are commodities. Context is compounding. The next $10B companies won’t just connect data — they’ll accumulate intelligence. Stateless systems are replaceable. Stateful, memory-rich AI systems are not. That’s where long-term enterprise value will accrue, I think :) Entrepreneurs Roundtable Accelerator Remarkable Ventures
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Vaibhav Gupta
Boundary • 7K followers
We made a huge bet that engineers will not want to be forced into using python just to use LLMs. The most underrated thing about BAML isn't that we improve tool calling on every model (including gpt-5), or that we have the fastest iteration loop for testing prompts. Its the fact that as your team scales and inevitebly uses different languages, they can ALL still use BAML to write their AI pipelines. Python devs love BAML. Typescript devs love BAML, and now we're starting to see Go devs on it too!
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Szymon Niemczura
hellobot • 11K followers
I really love what's going on in the human physical augmentation space. There are new exoskeleton companies popping up here and there, new exos start to cost below $1,000 per unit. I see huge potential in improving lives, especially in the aging population. Check out this open-source exo project from the Northern Arizona University: https://lnkd.in/dWEKS3g9
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Pete Jarvis
rpv • 6K followers
Worth watching: Charlie Marsh built Ruff, uv, and Ty — the tools that mass-fixed Python's worst pain points. Now he's grappling with what happens when agents start writing most of the code. In this episode, Charlie gets real about his team trusting his PRs less, the gnarly middle of coding with agents, and whether Python is even the right language for an agentic future. It's honest, a wee existential, and deeply relatable if you ship code for a living. https://lnkd.in/gDh-ZVXm
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