Get the Check

Mercor got hacked, NASA went back to the moon, and Anthropic just dropped $400 million on a nine-person biotech startup. There's a lot to talk about.
Maya, Anika, and Priya kick things off with the supply chain attacks that have been all over the news. A North Korean state actor called Team PCP compromised Trivy, an open source security scanner, which then cascaded into LiteLLM and Checkmarx, ultimately leading to 4TB of Mercor's data getting leaked, including biometric data and confidential training projects tied to OpenAI and Meta. They break down how the attack chain actually worked and how Mercor got their data back. They also debrief the future of cyber and why pinning your dependencies matters more than ever. They also look at who's building defenses in this space: Chainguard ($3.5B valuation), Socket (who detected the Axios attack in 6 minutes), and Cogent Security.
Then they get into Artemis II, NASA's first crewed mission beyond low Earth orbit in 53 years. The real question is why now, and the answer is mostly China, who landed on the far side of the moon in 2019 and says they'll reach the south pole by 2028. They break down the $100 billion the US has spent so far, the heat shield failure that NASA quietly buried for three years, and how SpaceX and Blue Origin ended up fighting over lunar contracts. They also get into the Artemis Accords, why $1.5 trillion in lunar resources has turned the moon into a geopolitical chess match.
Finally, the Get the Check segment covers Coefficient Bio, a nine-person team out of Genentech that got acquired by Anthropic for $400 million after just eight months. They get into how transformers apply to protein structure prediction, what AlphaFold unlocked, how the founders' "lab in the loop" paper cut drug discovery timelines by 70%, and what this signals about Anthropic building out a life sciences group. They also look at Chai Discovery (whose model gets 86% of designs to preclinical candidate selection) and Lila Sciences ($235M Series A), plus the Nvidia and Eli Lilly billion-dollar partnership.
Now…a word from our sponsors :)
Kalshi (https://kalshi.com/sign-up?referral=getthecheck) was one of the first believers in the pod, and they let you trade on anything. The link gives you $10 on when you trade $10. DM us on IG to hear what March Madness trades we are in! Important disclaimer: This is not financial advice. The information shared is for informational and entertainment purposes only and should not be considered investment, financial, or trading advice. Always do your own research and consult with a qualified financial professional before making any financial decisions.
Lotus Health (https://lotus.ai/) is an AI doctor you can chat with for free anytime. They just raised $41M, and you can download the app today. The pod tried it, and with just our basic info it pulled up every medication we’ve been on in the last 25 years, sent us relevant studies based on our demographic, and the app can even refer you to real clinicians.
00:00 TBPN's rumored $125M acquisition by OpenAI
04:16 Supply chain attacks 101
10:42 How Mercor got hacked
20:33 Who's building cyber defense
23:03 Artemis II: back to the moon after 53 years
26:26 Why we are going to the moon (hint: China)
28:28 NASA's heat shield cover-up
31:34 $1.5T in lunar resources
33:40 Would we go to space
35:49 Coefficient Bio's $400M exit to Anthropic
36:50 How AI is changing drug discovery
41:46 Lab in the loop
44:34 Predicting a bio talent gold rush

Maya, Anika, and Priya open this week's episode after spending two full hours trying to fix their new audio recorder, which made Priya miss her Solidcore class for the eighth time this month. Anything for the pod though!
First they break down reinforcement learning as a service. Starting with what RL is and how DeepSeek popularized it’s efficacy. Companies like Applied Compute are trying to do for RL what AWS did for compute, except most enterprises can barely collect their own data properly, so the ROI of RL is an open question. The girls dig into why some companies like Sierra and Decagon have a clear use case for RL, while for others they may prefer relying on natural model improvements from the lab.
Next, the Iran War and what the closure of the Strait of Hormuz is actually doing to the world. Crude oil has hit $113 a barrel. Fertilizer shortages are tanking corn yields in Zambia and Sri Lanka. There's a mid-April deadline that has analysts worried. In all the chaos none other than Putin has ended up on top. The hosts debate what may happen next along with everyone on Kalshi that’s been trading on related markets. You can trade too: https://kalshi.com/sign-up?referral=getthecheck.
Finally, if Reflection AI would get the pod’s check. Reflection AI is the American open source lab rumored to be raising at a $25 billion valuation from JP Morgan and positioning itself as the western answer to DeepSeek. Maya and Anika debate how important it is for there to be an American open source model. Reflection has the model internally, but they haven't released it to the public yet. The pod is excited to see what they release and predict it’s coming soon.
Now…a word from our sponsors :)
Kalshi (https://kalshi.com/sign-up?referral=getthecheck) was one of the first believers in the pod, and they let you trade on anything. The link gives you $10 on when you trade $10. DM us on IG to hear what March Madness trades we are in! Important disclaimer: This is not financial advice. The information shared is for informational and entertainment purposes only and should not be considered investment, financial, or trading advice. Always do your own research and consult with a qualified financial professional before making any financial decisions.
Lotus Health (https://lotus.ai/) is an AI doctor you can chat with for free anytime. They just raised $41M, and you can download the app today. The pod tried it, and with just our basic info it pulled up every medication we’ve been on in the last 25 years, sent us relevant studies based on our demographic, and the app can even refer you to real clinicians.
00:00 Intro02:52 RL explained03:40 Why RL became popular (shoutout DeepSeek)05:01 RLaaS06:36 Why DoorDash bought an RL company07:23 The ROI on RL14:17 RL players17:48 Cursor using RL on Composer in real time20:18 Metis acquisition22:05 Iran War23:39 Historical context on Iran25:39 Closure of the Straight of Hormuz27:28 When oil reserves will start to run out29:43 Impacts beyond oil33:54 Reflection AI funding34:45 Open vs closed AI models41:00 Why Nvidia wants to be on an open source model

We sat down with Christina Melas-Kyriazi, Partner at Bain Capital Ventures. Before VC, she was a product leader at Affirm. She joined when it was a few hundred people and stayed through IPO. Now she backs founders building AI-enabled companies.We talk about:- How her first "scouting" experience wasn't in venture, it was in high school. She recruited a soccer player onto her cross country team who went on to become an Olympian and one of her closest friends for life- What she learned from Max Levchin at Affirm: the best founders hold the highest level of vision and the lowest level of detail at the same time, and that's what allows them to bend reality to their will- Her hot take on why mission-driven companies will out perform; she put $15M into MagicSchool AI and counts Carrot Fertility as one of her most memorable angel checks- Her answer to the question everyone's asking: where will the labs play vs. AI application companies- Why she gives her friends money with zero questions asked if they're starting a company- The positive imposter syndrome loopIf you're a founder exploring the future of AI and services, Christina is only one cold DM away

In this episode of Get the Check, Maya, Anika, and Priya are back with a packed rundown: Travis Kalanick’s new company Atoms, the escalating Anthropic vs DoW fight, and why wearables are suddenly everywhere.
They start with Kalanick’s post Uber arc starting City Storage Systems (including CloudKitchens) in complete stealth. They unpack what the company is trying to do next after rebranding to Atoms. Atoms will use specialized robots to automate core industries like food preparation plus delivery, mining, and transport. They also revisit the Uber drama that led to Kalanick being pushed out, including a DOJ investigation, $245M lawsuit with Waymo, and accusations of a toxic culture that promoted sexual harassment.
Then they shift to the escalating tension between Anthropic and the U.S. government, a story that is quickly turning into one of the defining AI policy battles. What begins as a major defense contract relationship unravels after Anthropic draws clear lines around how its models can be used, rejecting mass surveillance and autonomous weapons. That stance sparks backlash from the Pentagon and the Trump administration, including efforts to label the company a supply chain risk and cut off government use. You can trade on if the Pentagon will designate Anthropic a supply chain risk here, using our Kalshi referral code, which will give you $10 once you trade.
The episode ends with a debrief on wearables: Pebble’s $75 AI ring, Sandbar’s $23M raise and note-taking stack, Taya’s pendant made by ex-Apple employees. The hosts break down why many of these products still feel like they don’t have clear demand, which is why they’re bullish on Fort. Instead of another generic note taking wearable, Fort is targeting a clear use case by building a wearable specifically for strength training and sleep tracking. Speaking of health and wellness, Lotus Health is an AI doctor you can chat with for free anytime. They just raised $41M, and you can download the app today. The pod tried it, and with just our basic info it pulled up every medication we’ve been on in the last 25 years, sent us relevant studies to our demo, and the app can even refer you to real clinicians when needed.
00:00 Maya might be a pro skier01:04 Intro04:50 Why Travis was fired from Uber13:42 The thesis behind Atoms17:11 Hardware as the next frontier19:58 The unexpected reason Maya thinks Atoms won’t work22:57 Anthropic vs Department of War timeline29:45 Anthropic's red lines34:02 Should Anthropic have red lines44:26 Why LLMs change what’s possible in surveillance45:16 Supply chain risk designation50:10 Kalshi odds of Anthropic as a supply chain risk54:27 An update on wearables

This week Maya and Priya sit down with Ishan Gupta, CTO and co-founder of Juicebox, who comes on the pod to announce that Juicebox just closed their Series B!!
Juicebox is the AI recruiting platform letting you find your next hire by just describing them in plain English. PeopleGPT searches 800M+ profiles and surfaces the best fits. No boolean filters required.
Ishan grew up in India watching his dad run a business and always knew he wanted to be an entrepreneur, but had no idea he would drop out of college just three months in to build Juicebox.
Before Juicebox, there were two failed pivots. Tune in to hear why they built a music company and marketplace first, and most importantly why they ultimately decided to build Juicebox.
Ishan breaks down why the hiring manager always knows exactly who they want but never has time to find them, and the recruiter has time but less context.
LLMs change the game because they are the first technology that can actually read a resume the way a human would, picking up on someone’s trajectory, company stage, promotion pace, even GitHub contributions.
Ishan talks about
Finding message market fit and then product market fit
Why recruiting is a zero sum game
If the recruiter / sourcer role disappears
If a human or AI is more biased
Juicebox is hiring across engineering, product, design, sales, and more. The company is high ownership and still operates like a seed stage startup. juicebox.ai/careers.
Now…a word from our sponsors :)
Lotus Health is an AI doctor you can chat with for free anytime. They just raised $41M, and you can download the app today. The pod tried it, and with just our basic info it pulled up every medication we’ve been on in the last 25 years, sent us relevant studies to our demo, and the app can even refer you to real clinicians when needed.
Here’s $10 on Kalshi when you trade $10. Kalshi was one of the first believers in the pod, and they let you trade on anything. No seriously anything, you can trade on sports, elections, and even what Taylor Swift will play first at her next concert. DM us on IG if you want to know what markets we are in. Important disclaimer: This is not financial advice. The information shared is for informational and entertainment purposes only and should not be considered investment, financial, or trading advice. Always do your own research and consult with a qualified financial professional before making any financial decisions.
00:00 Series B Fundraising
03:36 Unexpected reason SF is the best city to live in
07:02 Co-founder meet cute <3
09:38 The two ideas that didn’t work
14:32 LinkedIn’s recruiter tool will die
17:43 LLMs change the talent search game
18:37 Juicebox product
26:47 Why recruiting is a zero sum game
28:23 Will recruiters disappear
31:52 Why AI is less biased than humans in recruiting
34:27 How AI impacts recruiting as a founder
38:30 Who Juicebox is hiring