Jon Ma

Ever since we launched SHAKTI, every quarter we write a letter to our LPs = Each letter includes an update on the portfolios, the GP's (our) view on the zeitgeist, an interview with a portfolio CEO and an interview with a TITAN = So far, we have 16 such letters = it's been on our "to do" list to share these publicly (i am lazy) = then Google comes along to save lazy people like me (thank you NotebookLLM) = here's a 10 min podcast summarizing our journey since Dec/2020 with the 16 LP letters as source = if you wanted to know what we are about, this is a pretty good place to start = https://lnkd.in/db7K2TrT cc SHAKTI

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Want a front-row seat to the frontier of tech? We’ve got the role (or two) for you! We’re expanding our frontier-tech team at Blackbird by hiring a Frontier Tech Investments Associate and Foundry Fellows! Got questions? We've got answers... 1️⃣ What are the roles? 🧪 Associate = a full-time VC investment gig in our Blackbird Investments team, working directly with me. We’re looking for someone with a science and/or engineering background and more curiosity than they can handle. You’ll grow your own investment brand and practice, support our portfolio founders, and will help build Foundry, our early-stage frontier-tech accelerator. ✨ Foundry Fellow = a casual/contract gig in our Blackbird Investments team, ~15h per week for 3 months. The Fellowship is ideal for PhD students and ECRs who want to learn more about startups and VC. You’ll go deep on emerging areas relevant to your expertise (or curiosity!), get a front-row seat to groundbreaking companies in those areas, build out your non-academic network, and develop a solid writing practice. 2️⃣ Why are you hiring? We love frontier tech, and we’re ready to grow our team. 3️⃣ Wow, it’s so great that you’re starting to look at deep tech! Look, we get it: we don’t make a lot of noise about our frontier tech investing. Buuuut we’ve been deep-tech investors since we backed Tim Kentley-Klay to found Zoox back in 2014—we’ve been on incredible journeys with PsiQuantum (building the world's first utility-scale quantum computer right here in Australia!), Inventia Life Science (transforming drug discovery with high-fidelity cell models), Remedy Robotics (surgical robots for remote endovascular procedures), Opto Biosystems (minimally-invasive neural implants to treat cancer), and more. We believe that frontier technologies, and great frontier-tech investing, will be part of the solutions to the greatest problems humanity faces today. 4️⃣ When do applications close? May 31st at 11:59pm AEST. 5️⃣ I have more questions! I’m sure you do! Clare Birch and I are hosting an AMA to answer any and all questions about these roles. Want to know what a week in the life of our team looks like? What’s keeping us up at night? What our ideal candidate looks like? Come along and find out - registration link in the comments 👇 Apply for these roles: Associate - https://lnkd.in/gCfj4EUJ Foundry Fellowships - https://lnkd.in/gj6ATZVZ If you know anyone that we should meet, send me their details! Cameron Elise Ben Andrew Robin Joseph Adelaide James Olivia Lucinda Raghav Jesse Christie Mohamed Tom Amee Pablo Haya Loong Hon Joshua Benjamin Megan Harry Denzil Matthew Diana Daniel Tom Deanna Justin Amar Lilly Stone Thomas

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I get asked this a lot: “What’s my advantage if every fund uses your tool?” To an extent, if everyone’s using the same tool, the playing field will be levelled. Every fund will have access to: • Data-driven sourcing and screening to spot opportunities the moment they arise • Automated data gathering and faster due diligence, moving from origination to term sheet in far less time • Fewer tools to cut the back-and-forth between CRM, data providers, and other platforms But the real edge is not the tool itself - it’s how you use it. AI platforms like Eilla allow investors to: • Find highly specific companies and use tailored signals to source new opportunities that align with the fund’s strategy • Leverage tailored insights built on internal data relevant to your specific decision-making process • Create documents and memos that match their fund's distinct framework Contact our team to explore other ways we can customize Eilla for your fund or bank. Alternative - give it a try for free:

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Interesting concept to rename rounds by milestones. But "Series Client Expansion Extension" just doesn't have the same ring to it 😋 . Maybe we can start incorporating it into a descriptor to add context, "Series Seed Extension: client expansion." #startups #venturecapital

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During yesterday's LibreQoS APNIC webinar, I posed the question: won't more bandwidth solve these problems? As Herbert Wolverson said, yes, more bandwidth is good, but, still these problems remain if queueing is done incorrectly. Here's my take on why bandwidth alone is not as good as bandwidth + good queueing policies: Generally it was believed that 'data is important, so don't throw it away; hang on to it and send it later'. In practice, this has proven to be suboptimal as two issues may emerge: 1) latency increases for some flows due to heavy demand from other flows using the same bottleneck link, 2) even a single flow can have excessive latency due to aspects of typical TCP behavior (referred to bufferbloat) when the buffers grew large enough that the data being buffered was retransmitted anyway. It turns out that not all data is equally important. Active Queue Management is the art of deciding priorities, both in deciding what data to throw away, but also in allowing some later arriving data to be transmitted ahead of data in another connection that arrived before it. These problems have been studied, and good solutions have been found by using certain queueing policies in routers and switches, referred to as “fq_codel’ and “cake”. These track the different flows not by classifying the data, but by watching the behavior. Flows that send relatively little data (DNS lookups), or at a measured pace (video chat) have priority over flows that send a lot of data as quickly as possible (App and System updates, Video and ISO downloads).

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🚰 VODA.ai is building software to make one of our scarcest, most important resources safer and more cost effective to manage🚰 It's W13 / Q2 / 2024 & this week in our MGMT Boston startup series we’ve got VODA.ai, an AI startup helping analyze our nation’s water infrastructure at a local level to deliver better service for utilities and local populations across the country. Co-Founder & CEO George Demosthenous was working in product management at a utility technology vendor that builds metering & network infrastructure for utilities. George consistently heard that while the technology Mueller was selling was effective, the external pipe detection equipment and sensors they were purchasing didn’t necessarily stop leaks. There are 2.2M miles of drinking water pipes across the U.S. In Jackson, MS more than 65% of their processed water does not make it to end customers. In Detroit’s Highland Park neighborhood an estimated 70% of water is lost from 120 year old pipes. Imagine if Apple shipped 100M iPhones stateside and 50M were littered across the Pacific Ocean floor on their way over from Asia. Crazy, right? VODA.ai is building a software company that uses existing data to assess the condition of pipes that cannot be seen and determine which ones will have the highest likelihood of an event, like a leak or a break. VODA.ai created an AI engine dubbed “daVinciTM” here in Boston that uses pattern recognition in the way that LLMs probabilistically identify the next word in a sentence. daVinciTM has been tested head-to-head with other alternative models and has always outperformed! No pressure.. Since COVID they have grown both revenue & customer count by 200%+ y/y, continuing to leverage AI with both their product & team. AI’s emergence has helped VODA.ai’s sales cycle fall from a full year to three months as utilities broadly want to leverage best in class AI software. This Seed-stage startup has already analyzed over 1M miles of pipe (almost 50% of America!) and over 2M miles of service lines with customers from Boston to San Jose, CA. They are planning to more than 2x revenue in 2024, becoming the go to decision support platform for water utilities across the country in the next five years. VODA.ai is backed by local Boston investors Innospark Ventures and the Massachusetts Clean Energy Center. MassCEC has named VODA.ai a top carbon reduction emission leader, the team has twice been voted (by water utilities!) the Best Smart Water Solution at the Smart Water Summit, and VODA.ai plans to continue to grow their team in Boston in the quarters ahead. Operators to Know: -Kyra Dubinsky, Chief of Staff -Cory Sides, SVP Sales -Dan Hack, EVP of Operations and International Sales -Lowell Rust, MBA PMP, VP of Customer Success If you're interested in learning more, the full post is linked in the comments! And sign up for the newsletter to see who we bring you next week, will you?? #bostontech #startups #AI

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DeepCast shipped a number of really cool new features recently in advance of a broad outreach push to podcast listeners. One new feature is our new Daily DeepDigest tool that sends you a concise daily email including any new episodes from the trailing 24 hours from any podcasts you Subscribe to (on DeepCast). Think daily podcast cliff notes or podcast news ticker tape, with a hint of Morning Brew various brews or PitchBook News—it's increasing information throughput when you're pressed for time. And this feature is rapidly evolving to distill other key extractions from shows you're already interested in, but also exposing you to other shows you might be unfamiliar with that also have nuggets to share—and thus increasing your aperture yet still conscious of your time. Want to go deeper on any given episode? Click the episode detail and you're off to an episode on DeepCast, where you can subsequently read a longer form distillation of that episode or go straight to the source and listen to the episode. (And podcaster friends, these pages are definitely increasing indexing and thus Google entry points to your shows!) I'm loving this feature as a user, personally. Can't wait to see what others think! #BuildingInPublic #Podcasts #AllTheWorldsInformation #HowYouWantIt

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