Ben Rathi

2.2K posts

Ben Rathi

Ben Rathi

@BenRathi_

Chasing glimpses of the future. Tech investing & building @WndrCoLLC. Views are my own

San Francisco, CA Katılım Eylül 2012
5.4K Takip Edilen1.2K Takipçiler
Ben Rathi
Ben Rathi@BenRathi_·
AI can’t one-shot production ready code. One of the biggest blockers has been capturing data beyond the codebase — Slack discussions, comments on Linear, Datadog traces and more. Now there’s a solution. Congrats on the launch @akoratana and PlayerZero team!
Animesh Koratana@akoratana

Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN

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Kumar🇺🇸
Kumar🇺🇸@datarade·
Dad in the hospital. Could use any prayers. 🙏 I land back home in 9 hours.
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shayan
shayan@shayanshafii·
Update on this: ~300 people reached out and I interviewed ~30 in the last 4 days. Some learnings: 1) Cold outreach works. 2) No need to send a whole essay - most of the time what you're currently working on / a recent thing you executed is enough to warrant a conversation. If you feel the need to type 1,000 words it's bc you know you're trying to do something that doesn't make obvious sense. 3) People are nervous - you have to try and see through that to see the best in a person even when they're struggling to show it. 4) Most interviews don't need to be longer than 15 min. In fact I would argue that you can get to the fabric of a person in 10 min. 5) I only ask one question, which is to tell me about all of your major life decisions and why you made them. I like when people recount these stories with a quiet sense of pride. 6) I think the good people know that they're good, and the bad people actually know that they're bad. The role of the interviewer is to calmly guide the conversation to a place where both folks discover the truth together. By the end of the conversation, the good people should feel seen, and the bad people should actually feel exposed.
shayan@shayanshafii

Cognition is basically ~100 of these. If this describes you, please DM me and we'll figure something out for you.

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Ankur Nagpal
Ankur Nagpal@ankurnagpal·
This will be the last year that humans prepare the majority of tax returns I just invested in a company that will file your 2025 federal and state tax return with AI It's a magical experience and completely FREE Lmk if you wanna try the product and get a glimpse of the future
Ankur Nagpal tweet media
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Ben Rathi
Ben Rathi@BenRathi_·
If God showed up in front of you, are you holy enough to See?
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Michael Manapat
Michael Manapat@mlmanapat·
Excited to officially launch @Rowspace_AI — specialized intelligence for investors to make faster, sharper decisions by compounding their edge with AI. For the first time, they can turn their stores of messy, fragmented data into judgment and workflows that scale 🧵
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Tanay Kothari
Tanay Kothari@tankots·
We offered 5 people a Porsche 911 GT3 RS if they could get @WisprFlow to make a mistake It's the fastest and most accurate AI voice dictation app that's 3x more accurate than ChatGPT, Claude, or Siri. Today, we’re finally launching on Android. Download now: play.google.com/store/apps/det… As a part of the launch, we’re giving away 6 months of Wispr Flow Pro for free. Like, retweet and comment ‘Wispr Flow’ to get it. Enjoy. — Written with Wispr Flow
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David J Phillips
David J Phillips@davj·
Suds raised his first VC fund after making 80 angel investments by the age of 25 65 were first money in @greptile @browserbase @superpower @CompositeAI @withdelphi @Railway @extropic The journey: > South Carolina party promoter > Gen Z founder community > Wildfire drone startup > CA's largest fire hits 10 days later > Drops out > Heads west > Pivots to sales automation @withpipeline > Profitable in year 1 > 80 angel investments > SF1.vc $10M VC fund backed by the top investors & founders in SF All by 25. A pattern he’s noticed: Two things that matter most are product differentiation & distribution differentiation We cover: • His 4-sentence cold email formula that actually works • What "right to win" means when you're evaluating founders • Why "can I pick your brain" kills your credibility instantly • How he helps founders get first revenue, build teams, and sustain momentum beyond just capital @ItzSuds full story on @fondocom @thestartpod 00:20 SF1 one-liner 00:33 Check size, ownership targets, flexibility 01:03 SC → Bay: community, drones, withpipeline 03:27 80 angel bets by 25; 65 first checks 03:57 Founders & funds who backed him 04:42 The 4-line cold email that gets a “yes” 07:33 Evaluating “right to win”: product & distribution
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Ben Rathi
Ben Rathi@BenRathi_·
Mad respect to @chamath for investing $10M pre company in 2016 — was a lot back then! Now returning $4B+ on that investment — 400x
Chamath Palihapitiya@chamath

Taken Sep 1, 2016 when @JonathanRoss321 convinced me we could take on the giants, build new silicon and that AI was coming. In typical SV fashion, we didn’t even have a company yet - just a term sheet from me to invest and the three of us. I spent the next month recruiting as many of the TPU team from Google Wisconsin as I could. “Welcome to chips”, I thought. The company, as with all important companies, went through its own trials and tribulations including promoting Jonathan from CTO to CEO and the inevitable falling out and repair of his and my relationship. Anyways, it all happened for a reason. Today we close this almost decade chapter and Jonathan starts a new one with nVidia. I can’t thank him enough. Sometimes it’s simply better to be lucky than good and be fortunate enough to work with great people and follow them into battle. That is me here. Jonathan was not only the father of TPU when he was at Google but he is a technical genius of biblical proportions. He also assembled a great team with folks like @sundeep and @GavinSherry to back him up. They will also do incredible things at nvidia. Separately, whenever something I’m involved in either crashes or wins, I reread my thoughts when I first did it. Was it luck? Was it skill? What did I learn? What do I do now? YMMV, but I am attaching the original investment memo I wrote a decade ago. I’ll do a more substantive view on why this deal matters and what my guess is about the future of AI silicon from here on an upcoming episode of the pod. In the meantime, Merry Christmas. I am very thankful. So thank you Jonathan, Sunny, Gavin and the entire Groq team. 🙏🏽🙏🏽🙏🏽

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Katie
Katie@katiekirsch·
Big news: I've joined @a16z! 🚀 My focus is on ecosystem growth—building the connective tissue of the firm's network and creating environments where the most ambitious startup founders, operators, and technologists can thrive. This role is a natural culmination of my work over the past 10 years. As a founder, coach, operator, and investor, I’ve long been obsessed with bringing great people together to accelerate each other’s growth. I’ve learned that life isn’t defined by what you do, but by who you get to do it with—and that every great journey accelerates when you’re surrounded by the right people. At a16z, I’m partnering with @eriktorenberg, @david__booth, and the powerhouse New Media team in SF to bring our boldest ambitions and most impactful communities to life. A few weeks ago, we launched the New Media Fellowship which has already received 1000+ applications and will kick off in January with an incredible 8-week program for storytellers, creators, writers, and marketers. This morning, we launched Build—a new dinner series and community for idea-stage founders & operators figuring out their next big thing. build.a16z.com And there's so much more to come. Huge thanks to everyone who has supported me in starting this next chapter of my career—I can’t wait to bring you along for the journey.
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Regina Lin
Regina Lin@reggitales·
You have 100+ tabs open and your brain is fried. Introducing Dex, your second brain in Chrome that organizes, remembers, and takes action for you. Turn tabs into to-dos, multitask with agents, find and save anything for later. All without leaving your tab. As a founder, it's already saved me hundreds of hours. Comment for 1M free tokens - joindex [dot] com
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Evan Helda
Evan Helda@evanhelda·
It’s time for a new adventure. I’m joining one of the top AI clouds, Nebius (@nebiusai), as their Head of Physical AI. I’m also leaving my first professional love — spatial computing. At least in its most direct and advertised form, i.e. AR, VR, 3D, aka ‘XR’. But in another sense, I’m not leaving at all. I’m going deeper. As I've hammered on my newsletter — Dream Machines — spatial computing is far more than XR. This is just one end-point; just one form of a computer relying on sensors to localize, track, and understand the physical world. Self-driving cars, mobile robots, humanoids, autonomous drones... These are all ‘spatial computers’, each relying on a similar technical foundation, with similar computer vision tech, simulation tools, and ‘spatial’ data types, e.g. lidar, point clouds, 3D, video, IoT/sensors. The key difference? Autonomy and their ability to impact/interact with the physical world. So again, I’m not leaving. I’m just moving downstream; from a ‘spatial tributary’ to a gushing river, surging with capital, progress, and commercial opportunity. Jensen Huang popularized the term 'physical AI' about a year ago, and as it goes... Interest and awareness has exploded ever since. To be sure, Jensen likes to live 10+ years in the future. Heck, so do I. But physical AI remains early and is entering a hype cycle of its own. One that, at first glance, feels like the hype cycle that sucked me into XR. But this feels different. The timing feels right: early, but not too early... If you want to know why... check out the essay below 👇👇 It'll give you a L100-200 grasp of this new tech stack and the key innovations worth monitoring. And if you enjoy, do subscribe! There'll be a Part II... covering some of the challenges that remain, including the ones that I’ll be trying to solve in my new role at Nebius, as their Head of Physical AI. Lastly, if you work in this space and want to connect. Drop me a DM. Otherwise... See you on the front lines🫡 @EndicottInvests @mvcinvesting
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