With positive intent ✨

Joined January 2014
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Pinned Tweet
Apr 2
A Soirée in the Mission✨
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Lisa retweeted
Philanthropic investing is important for a number of reasons, but a big one is that capital markets are deep and many orders of magnitude larger than the philanthropic world. If you are working on a problem that could leverage the speed and depth of capital markets, you should try really hard to access them. Working in technology and life sciences investing is the easiest version of this, and I recognize that all problems are not shaped like ours. However, I think there are more problem areas where this type of approach could work.
This is a great point, although I would note that modern effective philanthropy, and I think the philanthropy that Nan is describing, often includes for-profit ventures. For example, I have spent the past ten years investing in biotech companies to advance global public health. The first fund has already distributed multiples of invested capital back to philanthropic investors who will then use that capital for investments or grants. I think this is an overlooked model and there should be more of it (I’m sure Blake would agree but thought I’d share this specific example)!
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Lisa retweeted
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️
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Jan 15
Congrats to @ruvopay on the launch and rebrand!! This product expands access for Brazilians to the global economy by making money movement easier.
We started @ruvopay to make moving money between Brazil and the U.S as easy as a Pix. The rebrand reflects that: a global dollar account built on modern rails, for people who live and work across borders. Pix. Crypto. USD. Visa. Save & invest. One wallet. This is Ruvo.
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Lisa retweeted
Dinner was a blast! Thank you so much for such a wonderful evening at @NeurIPSConf with founders and researchers from @GoogleDeepMind, @OpenAI, @AiEleuther, @allen_ai, @humansand. Excited for more to come!
Hosting an intimate NeurIPS dinner for AI researchers and early-stage founders with @DellTechCapital and Mayfield. Expect thoughtful conversation, great food, and serendipity. If you’re an AI researcher, engineer, or founder at NeurIPS, join us: luma.com/y98ypnlo
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Lisa retweeted
2 Dec 2025
San Franciscan behavior is often inscrutable from the outside. Is it poverty? Contrarianism? Inexplicable quirks of the techno-bohemian class? It starts making sense when you walk out of SFO, and into the reality distortion field that’s inspired social deviance for decades For those on the other side: If the city is a universe, group houses (loosely defined) are its planets. Each has a unique cultural “gravity” that naturally selects for an orbital community. House “orbits” intersect, forming micro-cultural clusters which themselves overlap with peripheral clusters Given sufficient social energy, one might ride these orbital tracks across the universe Put another way: if SF is Twitter, these houses and their friends form the group chat archipelago Like GCs, houses are mostly assembled for fun, and because they’re natural platforms for conversation, events, and serendipity — not due to financial necessity as you’d see elsewhere. Starting a house is an implicit registration as a node in a sprawling social graph It’s hard to overstate these houses’ roles as SF’s serendipity machines. In some cases, they become de facto semi-public cafes or third places. Friends might flit in and out through the day, often hanging to cowork or take a quick nap on the couch It’s no surprise people choose this. It invites a social richness into life that’s hard to achieve otherwise, with no downside other than occasional raised eyebrows from people on the internet
“Dwarkesh, Dylan, and Sholto are all roommates” 🤯 I have so many questions: * did they know each other before becoming roommates? * if so, how? * if not, they just happened to live together by pure chance?? * presumably they can all afford to live solo, so they choose to continue to be roommates for the insane intellectual density? * who does which chore?
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26 Nov 2025
My mood board for a vc fund is if @WorksInProgMag was a fund ✨
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Lisa retweeted
19 Nov 2025
against all odds!! Thanks @LisaShmulyan and the @EveryBanking team for the shout out! Ep2 with @theBhulawat coming out tomorrow!
Stories can change our lives, especially when the path forward is unclear. That’s why @0xEbaad is launching Against All Odds, a podcast from @capihouse_ that showcases the stories of immigrant founders and provides resources for immigrants pursuing their own founder journeys.
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Lisa retweeted
One of my favorite lessons I’ve learnt from working with smart people: Action produces information. If you’re unsure of what to do, just do anything, even if it’s the wrong thing. This will give you information about what you should actually be doing. Sounds simple on the surface - the hard part is making it part of your every day working process.
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14 Nov 2025
This matters less now because of the high opportunity cost of doing a startup vs. joining an AI lab. I’ve seen many top founders choose that path instead.
9 Nov 2025
Advice for VCs and candidates -- think hard about why a company was founded. Do the founders actually deeply care about this problem? Is this their calling? Or are they starting a company for the sake of starting a company, jumping to whatever the current trendy thing is that's easy to raise capital for? (common these days) Think of any great company -- Google, OpenAI, Tesla, Figma, Anduril -- the founders were clearly obsessed with something, and something that wasn't trendy at the time. Only a lifelong calling can keep you going hard for so much of your life (>10 years), through the unending obstacles and total life sacrifice that is a startup. Sure, founders could make it work for some years by the sheer desire to win, but that'll burn out eventually, and it won't be an interesting company to associate with regardless. And to any prospective founder, perhaps think hard about the word "calling" -- before calling others to your movement and risking their time, you should first hear the divine calling yourself.
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14 Nov 2025
So cool to see tools for open research 🧪
14 Nov 2025
Super excited to have gotten early access to Tinker by @thinkymachines! Tinker is great at making it easy to post-train, but also meant I wound up with lots of model checkpoints 😅 This is why I built a finetuning journal to keep track of each model iteration, with the help of Claude Code!
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17 Oct 2025
100% agreed. This is why I almost always advise B2B startups to focus on selling to other startups before trying to go to enterprise — 1. Faster, easier adoption 2. Startups are more discerning on the best tools and more willing to give feedback, so you’ll end up with a better product. 3. Easier to land and expand 4. You can grow with them
17 Oct 2025
🚨How does an AI-native startup unseat an incumbent?🚨 👇Enter the Greenfield Strategy: AI-native startup bingo. The battle between every startup and incumbent comes down to whether the startup gets distribution before the incumbent gets innovation. One of the most powerful, and underrated, ways for startups to win distribution is to serve companies at their formation: greenfield companies. @stripe @deel @mercury @cartainc @brexHQ @tryramp have all done this at scale. Why does this work? Simply put, acquiring customers de novo is easier than getting customers to switch: - Many of the large software incumbents have hostages, not customers. Their customers would love to switch, but ripping and replacing existing software is risky and expensive. New companies don’t face those switching costs; they simply look for the best solution and evaluate based on merit. - New companies don’t need as many features to have a complete solution. - New companies have fewer stakeholders. You only have to convince the founders. Grow with your customers: If you attract all of the new companies at formation and grow with them, you will become a big company as your customers become big companies. Consider @stripe: many of Stripe’s customers did not yet exist when Stripe was founded. Some of those early customers later became large businesses in their own right. So when enterprises outside of Silicon Valley also needed to prepare themselves for a shift to ecommerce models, Stripe was an obvious choice, with plenty of relevant reference customers already in place. Incumbents, on the other hand, would much rather sell to existing businesses vs. companies that don’t exist now but might exist in huge numbers in a few years. They are bound by the rules of P&L (Profit & Loss) – and there’s no “P” for greenfield companies that don’t exist yet, just “L” (in sales, marketing, and product development costs). The startup, however, isn’t bound to a financial model – the startup doesn’t need one; it's still figuring stuff out! That leaves ample room for the startup to define the category. Graduation moments: In a similar way, software “graduation moments” (the moments when a startup begins to develop enterprise needs) also create opportunities to execute this greenfield strategy. QuickBooks may be great for single-product, single-entity companies, but once businesses add multiple subsidiaries, currencies, or more complex reporting needs, they outgrow it and require the controls, integrations, and scalability of an ERP like NetSuite. And you can now build a far better ERP with AI - just look at @RilletHQ. AI-native startup Bingo: There are many different categories of enterprise software. Enough to fill a 5x5 Bingo board and more! In each category of the Bingo board, there sits an incumbent that could be dethroned by an AI-native alternative. So, how does a new company win the game of Bingo? - Pick a square - Make a narrow wedge much better - Find a constant source of new customers - Rapidly iterate and add features to grow with your customers - Don’t be constrained by the division of existing categories If you’re building a category-defining company on the Bingo board - come and talk to us. cc: @arampell @astrange @a16z
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Lisa retweeted
Every is now serving more than 1,000 startups! Running a startup is hard enough. Every takes care of incorporation, banking, payroll, benefits, accounting, taxes and more so that you focus on building, not back-office admin. Every's fast adoption across the startup ecosystem has been incredible to witness, and we're truly grateful to be partnering with some of the most pioneering founders. Founders like @faraz_ml, @RohanVasishth, @coffeewithone, @shreyash_nm, @just_vraj, @abhaygupta_eth, @valmianski, @xinding33, @minhash, @MielnickiTad, @caseysimsogrady, @DevrajNGopal, @marcus1storm, @ericmao, @tomzheng, @davidbshan, Richi —who we had the incredible opportunity to spotlight on the big screen in Times Square! 🗽 Over the next few weeks, we'll be diving deep into their journeys and the companies they're building.. 👀✨ Here's to the incredible founders who've trusted us. We couldn't be more excited to support the next 1,000 startups building the future.
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13 Oct 2025
“For there is nothing either good or bad, but thinking makes it so” — Shakespeare
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“Weak desires can be removed by introspection and meditation, but strong, deep-rooted ones must be fulfilled and their fruits, sweet or bitter, tasted.” — Nisargadatta Maharaj
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Lisa retweeted
3 Oct 2025
Immigrant founders Stories @yoeven's journey from working at a bank in Singapore to raising $1.6 million in the US to build @jigsawstack - Why innovation happens only in SF - O1 (Extraordinary) visa process - Creating the best model for developer tasks Epilepsy warning at 40:09
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Lisa retweeted
Introducing Stratus Ventures, an early-stage venture firm investing in exceptional pre-seed and seed companies. Stratus Fund I is a $10M fund investing in visionary founders building the future. Founders who are scrappy operators and relentless about their craft. A huge thank you to my LPs for their belief and support of the Stratus mission, my founders for their trust and partnership, and to my colleagues, mentors, friends, and family—too many to ever name. Thank you all. At Stratus, we want to partner with unconventional thinkers. The ones with the grit and vision to turn their ideas into reality. If that sounds like you, let’s chat. stratus-ventures.com
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Lisa retweeted
18 Sep 2025
WOOO!! Wrapped up Builders in Residence program!! Opened the floor to impromptu presentations at our Demo Day! - @matt_kolm high school football player who made six figures in Amazon FBA reselling beauty products. Now shipping code on a product for influencers and fans. - @sarthathak super connector teenager who sold soccer jerseys in middle school, ran high school hackathons, and is building an ed tech startup - @gautam_jajoo published AI researcher, who traded stocks at 12, won an international coding comp, then sold his prize to put back into trading. Now building a startup in time series and temporal reasoning for financial forecasting - scrappy founder who randomly did marine officer training during finals week, couch surfed at 11 places in 3 mo, and now cracked the Reddit viral post algo - student who hand coded a suuuper slick Stanford research lab search tool, in support of his research about labs (very meta!) - exited founder building his next thing in micro mobility insurance
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Lisa retweeted
18 Sep 2025
Life is poker, not chess Four years ago I walked away from a guaranteed promotion at McKinsey and a $300K PE offer to work in gaming for a third of the salary. Many thought I was insane. They were playing chess: calculating the optimal move with perfect information.
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18 Sep 2025
It’s wild how much a dinner with a good friend and feeling seen can impact mood, energy levels, and even productivity!
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