@CRV

CRV specializes in early-stage seed and Series A startups. We've invested in over 750 companies including DoorDash, Mercury and Vercel.

 San Francisco
crv.com
Joined February 2010
  • Tweets5.9K
  • Following308
  • Followers39.3K
1.3KMedia
CRV's first episode of Risk Takers with Anuj Kothari, @mercor's first SPL, now a GM on the Operations Team. Enjoy! Timestamps: 0:00: Intro 0:25: Bellarmine, speech & debate, and quiz bowl 3:23: Debate as Mercor’s hiring pipeline 4:37: Skipping the pre-professional path at Penn 5:38: On poker and building a risk appetite 7:55: From a big-tech PM role to Mercor 10:02: The one-week work trial 12:52: Why the Mercor pitch resonated 14:58: Scaling culture from 6 to ~600 people 17:57: How his role has evolved 20:47: The state of the data market 25:15: Lightning round 27:40: Mercor’s 10-year vision @verorellana02 @nadineifattah
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4/ The future of the data market: Where the market is headed, and why growing enterprise demand could drive the next wave of growth.
CRV
@CRVOct 14
CRV's first episode of Risk Takers with Anuj Kothari, @mercor's first SPL, now a GM on the Operations Team. Enjoy! Timestamps: 0:00 Intro 0:25 Bellarmine, speech & debate, and quiz bowl 3:23 Debate as Mercor’s hiring pipeline 4:37 Skipping the pre-professional path at Penn 5:38 Poker and building a risk appetite 7:55 From a big-tech PM plan to Mercor 10:02 The one-week work trial 12:52 Why the pitch resonated 14:58 Scaling culture from 6 to ~600 people 17:57 How his role has evolved 20:47 The state of the AI data market 25:15 Lightning round 27:40 Mercor’s 10-year vision @verorellana02 @nadineifattah
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3/ Scaling culture and values: How Mercor grew from 6 to nearly 600 people in two years, and why treating hiring as a science has been key to preserving its culture along the way.
CRV
@CRVOct 14
CRV's first episode of Risk Takers with Anuj Kothari, @mercor's first SPL, now a GM on the Operations Team. Enjoy! Timestamps: 0:00 Intro 0:25 Bellarmine, speech & debate, and quiz bowl 3:23 Debate as Mercor’s hiring pipeline 4:37 Skipping the pre-professional path at Penn 5:38 Poker and building a risk appetite 7:55 From a big-tech PM plan to Mercor 10:02 The one-week work trial 12:52 Why the pitch resonated 14:58 Scaling culture from 6 to ~600 people 17:57 How his role has evolved 20:47 The state of the AI data market 25:15 Lightning round 27:40 Mercor’s 10-year vision @verorellana02 @nadineifattah
There's a new version of this post
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2/ The speech and debate hiring signal: Why speech and debate has become a talent pipeline for Mercor, and what the circuit reveals about someone's ability to think critically, work as a team, and perform under pressure.
CRV
@CRVOct 14
CRV's first episode of Risk Takers with Anuj Kothari, @mercor's first SPL, now a GM on the Operations Team. Enjoy! Timestamps: 0:00 Intro 0:25 Bellarmine, speech & debate, and quiz bowl 3:23 Debate as Mercor’s hiring pipeline 4:37 Skipping the pre-professional path at Penn 5:38 Poker and building a risk appetite 7:55 From a big-tech PM plan to Mercor 10:02 The one-week work trial 12:52 Why the pitch resonated 14:58 Scaling culture from 6 to ~600 people 17:57 How his role has evolved 20:47 The state of the AI data market 25:15 Lightning round 27:40 Mercor’s 10-year vision @verorellana02 @nadineifattah
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1/ Lessons from poker: How playing poker at Penn shaped Anuj’s appetite for risk, taught him to focus on process over outcomes, and ultimately influenced his decision to take a chance on Mercor.
CRV
@CRVOct 14
CRV's first episode of Risk Takers with Anuj Kothari, @mercor's first SPL, now a GM on the Operations Team. Enjoy! Timestamps: 0:00 Intro 0:25 Bellarmine, speech & debate, and quiz bowl 3:23 Debate as Mercor’s hiring pipeline 4:37 Skipping the pre-professional path at Penn 5:38 Poker and building a risk appetite 7:55 From a big-tech PM plan to Mercor 10:02 The one-week work trial 12:52 Why the pitch resonated 14:58 Scaling culture from 6 to ~600 people 17:57 How his role has evolved 20:47 The state of the AI data market 25:15 Lightning round 27:40 Mercor’s 10-year vision @verorellana02 @nadineifattah
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A big milestone and an exciting release for @DynaRobotics! Dyna-2.1 completes a full hour-long laundry workflow autonomously, bringing the team’s vision for physical AI to life. Congrats to @Lindon_Gao @JasonMa2020 @YorkYang5050 & the team!
Dyna Robotics
@DynaRoboticsSep 29
We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows. Here is an uncut footage of Dyna-2.1 completing an entire hour-long laundry room workflow, just like a human does.
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We led Raindrop's Series A because they’re quickly becoming the leader of agent observability. @reidRMC @brittwalker_ and the team are thrilled to back the company that is improving agents at Fortune 100s and startups alike. @raindrop_ai @snarkyzk @alexisgauba @benhylak
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Today, we are announcing our Series A and a new product: @raindrop_ai Simulations. We've now raised $50m from @CRV and @lightspeedvp to protect the world from agent failures, big and small.
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We just hit 100M ARR within 10 months of starting deployments. We are in factory lines. On construction sites. In kitchens. In data centers. Cleaning. Welding. Building. Cooking. Deploying.
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Very excited to see this long-horizon prompting behavior! I learned tremendously during my years at CMU working with @deepakpathak , and it’s exciting to see these ideas come to life through the work of the Skild team!
Skild AI
@SkildAIAug 25
Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:
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Truly incredible. The fact that the robot is able to learn from examples, which is also how humans learn: we watch people do things and then learn from their actions. Now, the robot can do the same. This could be the future of robotics.
Skild AI
@SkildAIAug 25
Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:
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Does your girlfriend sit front row for your technical talks and leave with 400 photos? Mine does.
Yusan Lin
@yusan_linAug 26
Does your boyfriend give keynotes and look this good? MINE DOES!!!! @LiamFedus
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GPT-3 moment of robotics? Look amazing
Skild AI
@SkildAIAug 25
Introducing S1, our new foundation model that learns from one example. It can be taught 10-minute long tasks that it has never seen before, from one video prompt without any fine-tuning. Watch S1 operate in real-time via in-context learning:
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Great work from our mid-training, RL, and infra teams (not to mention a ton of lab data) to pull this off!
Robert Nishihara
@robertnishiharaAug 27
I got some as well. Inspirational talk! Also, very cool to see that @periodiclabs is using Kimi to reduce inference costs 20-50x over frontier APIs. Everyone will do this.
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One of my favorite things about digging into new spaces is being able to reach out to experts outside of the Silicon Valley bubble to get up to speed. I get to meet such interesting folks and learn so much.
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Yeahh so @Lovable runs on @pierrecomputer’s code.storage

code.storage

Off the shelf Git infrastructure for your AI application.

code.storage
Anton Osika
@antonosikaAug 26
before Lovable I started ~250 repos in my career, thank you for holding up @pierrecomputer @fat @foobar1234
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