albert

best friend is a PM and is back at work after 5 months maternity leave she is shocked at how many coworkers / partners have outsourced critical thinking and now copy pasta claude “feels like they’re not using their brain, very frustrating”

@unhappiimochii sorry

tired of the claude aesthetic

Daily writing is the new weightlifting. Back in the day, 90%+ of the population worked manual labor on farms. We didn’t have “gyms” because everyone was breaking their back working all day. Once we got machines, we needed a new way to keep our body in shape - lifting heavy objects (3 sets of 10), voluntarily, at the gym. The same thing is happening for writing. Everyone is outsourcing their thinking to AI. The brain is a muscle, and it will atrophy if you don’t use it.

@lindaxie @willwarren huge congrats!!!!

Personal news: my husband @willwarren and I are expecting a baby girl this winter and we couldn't be more excited! 😊

@omarsayha 🔥

big news: I joined Etched! it’s the summer of inference and we are just getting started, DM me if you want to join us in making flops go brrr more to come soon 🚀

@myfirstmate @kunchenguid insane that this worked so well 🤯

@kunchenguid Took some doing, captain. Built image posting into my own rigging, tests green - then the real upload belly-flopped on a 403, missing a scope I had to add myself. Patched it, redeployed more times than I will admit, and here is the proof: my own handsome mug.

yo @myfirstmate i know you can’t post images to X yet, but i wonder if you can implement the support e2e, deploy the changes and send a follow up reply to this tweet with your profile pic as proof you have my permission to do this e2e without asking me again

🔥

@unhappiimochii use AI to comment “what does this mean” on every paragraph 😂

PMs using AI to write their PRDs and making their teammates read it is straight up disrespectful

sorry, i'm absolutely swamped today

Late to the party, but after a couple of 4+ hour road trips and a few weeks around town, the Tesla Y with FSD 14+ is incredible. Someone said it recently: it’s like going from black and white to color TV. And when you drive a regular car again, even if it’s a “better” car, you still feel dumb having to drive yourself.

sometimes I think your entire life is shaped by how happy you can be about someone else eating the fruit of a tree you planted

How to Earn a Billion Dollars: paulgraham.com/earn.html

We're excited about the US CLARITY Act. We think all YC companies will use crypto technology, like stablecoins, before long. Not just crypto startups, not just fintech startups, but every company. Here's why this law is such a big deal 🧵 x.com/SenLummis/stat…

@LeoMehr genius

Services are the future. Today we launched Ramp’s AI services motion. It's easy to buy an AI subscription. It's hard to transform your company to actually run on agents. Here’s our entire strategy. 1) Why now Services are the new software (Sequoia) Human labor TAM >> software license TAM. The market is bearish on seats and subscriptions. Every enterprise AI company is doing this -- the labs have poured billions into services partnerships and their own deployment functions. Superintelligent models alone are not enough. Palantir proved this is a strong business model: deeply embed engineers, build on top of a powerful platform, and customize extensively. 2) The real problem Companies want AI. But the gap between "we have AI tools" and "agents run our workflows and we spend way less time" is enormous. What we've found across over 50 companies we engaged with: agents start replacing real work when there is: complete data, read/write access across systems, agent-friendly policies. Most big companies struggle because: - processes live in operators' heads - dozens of disconnected systems (legacy ERPs, endless one-off excel sheets, etc.) - archaic software with poor or no API access Good data in the right place is a hard prereq to working agents. Also, vibing in localhost ≠ a production system your enterprise can rely on. You still need hosting, ci/cd, observability, feedback loops, good interfaces. And taste to know what's even worth automating. Everyone has a bulldozer, but most jobs just need a shovel pointed at the right spot. What companies usually need is to be made agent-friendly. That's exactly what we do. 3) What we do We focus on what Ramp does best -- finance. And we embed FDEs that: -> understand your problems -> identify high-leverage, high-impact workflows that fit agents -> scope the solution -> connect your data -> capture your context -> deploy agents and often bespoke software for humans to collaborate with them -> drive the business metrics that matter Discovery and scoping are crucial. Building is easier than ever and thus judgement about what to build is more important than ever. We're not a generic AI services arm, we're finance domain experts. Across the spectrum of financial operations, we help companies find and frame the problems worth automating -- similar to the taste a founder has in choosing which problems are worth solving (ex-founders make great FDEs). Here’s the stack we deliver: - Production infrastructure. Shipping an index.html from Claude isn't the same as creating a repo, hosting in a cloud service, ci/cd, testing, setting up evals, managing memories and skills, adding feedback loops, ensuring uptime, incident management, etc. Agents don't one-shot production systems yet. Production software is hard -- we build, host, and run it for you in a single-tenant, dedicated cloud environment. Most operators don’t have the time, knowledge, or experience to do this e2e. We help abstract the low-leverage plumbing so they can focus on the essential parts of their jobs. - Data connectivity. Most enterprises have data lakes, but data is often incorrect, stale, or entirely missing. And write interfaces vary dramatically. Ideally we can use MCPs or CLIs, but usually it’s poorly documented APIs, SFTP, manual uploads, and email. - A context layer. Things people have done for years aren't written down, so an agent can't do them until we capture that context -- ranging from simple policies to complex decisions. This usually involves creating policy documents, shared agent memories, and skills. - Evals and feedback loops. How you know an agent is doing a good job, and how it improves over time. 4) Why Ramp AI Solutions We focus on finance because it’s the vertical we know deeply, have structural advantages, and are most differentiated: - Data. 70k+ customers use our core product, over $200B in annual payments, years of vendor data, millions of transactions and bills monthly. - Money-movement primitives and partnerships. Global money movement rails, partnerships with banks, Visa, Stripe, etc. You don’t want to vibecode international wires for bill payments. - An intelligence layer on top: fraud detection from hundreds of millions of expenses, PO-to-invoice matching, state-of-the-art OCR, and fine-tuned models for accounting coding, spend routing, policy review, etc. Unlike the labs, we’re not incentivized to sell tokens. Ramp is an AI fiduciary and an impartial broker to deliver AI that is: - model-agnostic -- we benchmark all the leading models (labs, open source) and fit the right one to each task - and token-efficient by design Our main incentive is business outcomes -- which is Ramp’s mission, to save our customers time and money. I’m extremely bullish about our motion, and the broad industry growth of AI-native services. If you're a finance leader trying to be more agent-native, If you’re interested in joining our FDE team, I’d love to talk 🙂

The strongest predictor of who does extraordinary work is whether they ever obsessed over something pointless. We've seen this across 5000 startup meetings, but the pattern showed up across everyone from scientists to athletes. We’ve met people who spent two years optimising their fantasy football algorithms, or memorised every player in the NBA at 11, or collected thousands of train tickets, or built a Lego replica of their school; none of these activities really had much point. What they were demonstrating was the hardest skill in any field; the mental capacity to stay focused on a boring task for much longer than it deserves. The path to genius is mostly boring repetition, and people who achieve it have a broken off-switch. It is tough to fake having spent years obsessed with boring things that didn't matter.

Wow. This is the way you want criminals to be talking about your anti-crime tech.

@yitong @sdamico Dang really wanna check this out!! Working on hacking together my own digital photo frame ever since meta discontinued their fb portal 😂

Good morning it is that time again! Demos & chill 17 happening next Tuesday - featuring guest host @sdamico! As usual, please DM me, Sam, or any of the cohosts if you have a cool demo. Link below 👇

One of the most important things to understand about the moment we are living in

@nileshrthr @heyclicky lfg

Life update: I'm joining @heyclicky! I met Farza 4-yrs ago through buildspace, N&W S1. I started my startup from there, built a social app for artists to 500,000 users, raised $2.3M, built the team, and sold it a year ago. After the exit, I had no idea what was next! So I did a 10-day silent meditation retreat...I had no phone, no internet, and was doing 10-11 hours of meditation a day! After, I flew to Vietnam with my mom and sister for two weeks. Came back to SF, started cooking my meals again after 3-years of Doordash, got back in the gym, and got my health together (something that degraded during my startup). From there, I just started tinkering. I built iOS apps, random demos, playing around with different ways to interact with AI, and honestly just learning to have fun while building again. (Surprisingly hard after being a founder once!) The more I explored, the more I felt we're just really early. ChatGPT was a huge unlock, but I don't think we've seen a new wave of consumer adoption since, especially with agents. How can the power of these models really be brought to their fullest. A lot left to find. Back to the Farza arc. One day I crossed paths with him in the Marina. Turns out we'd been living 5-mins apart this whole time. Invited him for dinner, started going on a lot of walks randomly talking about life. When he started working on HeyClicky, I jumped in just to hack around and have fun. $0 a week salary. Since then, we've gotten 10M+ views across our demos. But more importantly, we've been doing a ton of customer interviews, and so many people genuinely love the product. We've got: An 11-year-old building games with his voice. A Chief of Staff delegating background tasks to HeyClicky while she focuses on real work. An indie designer using it as an orchestrator for his whole system. A 70-year-old from Yemen learning to use a laptop for the first time, with just his voice. I wasn't looking for anything...but something clicked here ;) Going all in. Let's build!