open sourcing my formula to hosting a great dinner... last week we hosted a dozen founders, creators, and tastemakers in the consumer wellness space to celebrate guided, @systemlabsinc's august campaign and the second installment from our wellness division. 1. great venue (slightly aspirational, maybe unexpected) 2. the seating chart is everything (there's always an unspoken reason why i've put two people next to each other + it's on them to figure it out over the course of the dinner) 3. good comms before + after the event thank you to our friends at @rhobusiness for making this happen!! @JasonGrohowski
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Thanks for an electric interview @JasonGrohowski Favorite quote of mine: "I called @brian_armstrong from the toilet, and said 'I'm in', and he said 'For how much' and I said 'I'm not sure'" piped.video/watch?v=kLvsTJnN…
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Not to mention my incredible ability to make it look like I'm taking a phone call with my hands
Replying to @AdamDraper
@AdamDraper on Venture Grounds next week. @BoostVC funds the stuff that sounds fake until it isn't. Bitcoin in 2012, VR, nuclear, bio. He's been early and wrong and early and right. This is gonna be a fun one.
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Investor, founder, and creator dinner with @systemlabsinc!!! Such a fab night @alexchungtweets @JasonGrohowski
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Fun night at the US Open with a bunch of @spc NYC founders S/O @JasonGrohowski for the great seats!
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Never a doubt 🗽🦾
NYC surpasses San Francisco as biggest tech talent hub, study shows trib.al/B2Rsccz
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"One of the impacts of GLP-1s is that it's normalized self-injection."
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Jason retweeted
We raised $8m to build self-healing software. In 2026, software moves fast. But monitoring and observability are still manual and slow. @sazabi is a next-generation observability platform for fast-moving engineering teams. Not another AI SRE. Not another LLM observability tool. A new, general solution to observability that works for any workload (including agents) and leverages AI for maximum speed and automation. Time to suit up.
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We're deep in beta on the @rhobusiness API and the things people are building have been wild. One customer rebuilt their entire bookkeeping operation on top of it. Every morning a bot pulls yesterday's transactions, auto-categorizes what it can, and posts the rest to Slack as one-click cards. Their finance lead clears the day in a few taps, every line pre-coded for Xero. Can't wait to open this up to more of you.
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Jason retweeted
Sazabi is a next-generation observability platform designed for fast-moving, AI-native engineering teams. If you're using Datadog, Sentry, Grafana, or Axiom today, you could be moving ten times faster with @sazabi. Congrats on the launch, @shcallaway! ycombinator.com/launches/QdT…
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Jason retweeted
AI is making it easier to build, but the consumer companies that stick will come from founders who understand people deeply. On Venture Grounds with @JasonGrohowski, GV Partner @KJSidz shared thoughts on consumer AI today, adoption gaps, the benefits of constraints, and more.
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Jason retweeted
Had a lot of fun on the @rhobusiness podcast with @JasonGrohowski talking about the second order effects of AI (what happens AFTER we token max) and the right way to back seed founders. Full pod below:
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Rho Close shipped today. Your transactions are coded by @rhobusiness before you open the view. Built around your chart of accounts, your vendors, your history. Review. Accept. Sync. Done. Month-end used to be the thing founders dreaded most. We just made it a non-issue. Go check it out.
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📣 Update: we raised our $60m Series B from @Lux_Capital, @IndexVentures and @01Advisors, with participation from @sequoia, @eladgil and @BainCapVC . When we came out of stealth 283 days ago, we had negotiated contracts worth $30m for our clients. As of last month, that number is over $1 billion. We work with the most ambitious companies in the world, including @tryramp, @clay and @RogoAI. Today, we want you to hear from some of them directly. Contracts are the rails of commerce. @crosbylegal is a hybrid AI law firm that gets them signed 80% faster. We’re announcing our Series B to keep scaling the dream law firm.
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Sat down with my guy @JasonGrohowski from @rhobusiness to talk pre-seed + seed fintech. A few things that came up: 1- Lead with problems & solutions, not with "AI" 2- Not every big opportunity is a startup opportunity 3- Parts of financial services will be automated, but not all of it 4- Investor updates are one of the highest-leverage things founders can do Check it out! piped.video/watch?v=cbfcV3d4…
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Two episodes into Venture Grounds, and a pattern is already emerging. Hunter Worland at @NEA and Abbie Strabala at @outlandervc come from different funds, different stages, different coasts. But they’re circling the same idea. Hunter put it this way: the era of generic, lowest-common-denominator products is ending. Your banking app shouldn’t look like mine. Your wealth management experience shouldn’t feel like everyone else’s. Abby said something similar: there’s so much data about my preferences, yet no one really captures me. The technology exists to personalize everything. No one’s figured out how to use it. Both are betting on the same shift. Products that treat every user as a segment of one. Hunter sees agents as the unlock. Personalized financial advice that used to require walking into UBS, now available to someone three years out of school with student loans. Abby sees it showing up in daily life. Why am I still manually adjusting my smart home settings when all the data is there to automate them? Different entry points. Same destination. The next generation of companies won’t optimize existing systems. They’ll rebuild them around the individual.​​​​​​​​​​​​​​​​ Access both episodes of the @rhobusiness pod over your next lunch break in the replies.
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First episode of Venture Grounds is out! I talked to @NEA's Hunter Worland, and three ideas are still stuck in my head: 1. Distribution vs. product is the wrong question. The best companies design them together from day one. Hunter's example: a Brazilian remittance product built directly into WhatsApp, embedding stablecoin rails where users already send money. 2. AI agents kill generic experiences. Most financial products are lowest-common-denominator by design. Everyone gets the same app, same flows, same outcomes. Agents create a path to market-of-one financial products at scale. 3. We've massively undershot what rewards could be. Rewards default to points and flights, even though people stress about groceries, tuition, and medical bills. Incentives should be designed around real financial pressure, not travel perks. We went much deeper on this in the episode, including where this breaks down and where it compounds. Find the full episode of the new @rhobusiness pod below!
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