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logan bartlett
@loganbartlett
md @redpoint. vols and knicks fan
978 Following    65.9K Followers
Why did a spend management platform start its own AI research lab? @karimatiyeh describes @RampLabs as a “collection of crazy ambitious people that don’t like to be told that something is impossible”. It started about a year ago and has since worked on projects like building its own production-grounded coding benchmark “Ramp SWE-Bench”, putting Claude Code in RollerCoaster Tycoon, and a mechanistic interpretability playground. The Redpoint team spent the day with Ramp Labs to answer questions like: ▪️ How did Ramp Labs get started? ▪️ How do they decide what research to pursue? ▪️ The long-term vision for Ramp Labs
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Go behind the scenes of Ramp Labs for the first time and hear why Ramp started it's own AI research lab.
Why did a spend management platform start its own AI research lab? @karimatiyeh describes @RampLabs as a “collection of crazy ambitious people that don’t like to be told that something is impossible”. It started about a year ago and has since worked on projects like building its own production-grounded coding benchmark “Ramp SWE-Bench”, putting Claude Code in RollerCoaster Tycoon, and a mechanistic interpretability playground. The Redpoint team spent the day with Ramp Labs to answer questions like: ▪️ How did Ramp Labs get started? ▪️ How do they decide what research to pursue? ▪️ The long-term vision for Ramp Labs
Show more
Go behind the scenes of Ramp Labs for the first time and hear why Ramp started it's own AI research lab.
Why did a spend management platform start its own AI research lab? @karimatiyeh describes @RampLabs as a “collection of crazy ambitious people that don’t like to be told that something is impossible”. It started about a year ago and has since worked on projects like building its own production-grounded coding benchmark “Ramp SWE-Bench”, putting Claude Code in RollerCoaster Tycoon, and a mechanistic interpretability playground. The Redpoint team spent the day with Ramp Labs to answer questions like: ▪️ How did Ramp Labs get started? ▪️ How do they decide what research to pursue? ▪️ The long-term vision for Ramp Labs
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Agree completely - so many leaders are asking "should i train my people on how to be AI-native or should i just hire AI-native people?" In 2025: the answer was carte blanche spending on tools, hoping AI innovation would bubble up from whoever was closest to the work. IMO that's an unfair (and unrealistic) ask for most SMEs. The fix is AI that understands your business (your specialized intelligence) and tells you where AI can actually have an impact and lead to measurable ROI.
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AI is extremely good at spending your money very quietly. our own token spend went from a rounding error to more than 10% of payroll in a year. one week in May we burned through $1.5 m. our CFO didn't love telling me that number, and he really didn't love telling the internet. but every finance leader we talk to is living the same story. the bill keeps going up and teams can't answer basic questions about it. which team is driving it? which models they're using? what changed this month? whether a cheaper model would do the same job? so finance gets two bad options: keep paying and hope, or cut broadly and slow down the work that's actually compounding. we built a third one. Ramp now connects to OpenAI, Anthropic, Gemini, Cursor and pulls it all into one place. see it, understand it, control it - down to a single API key. built with 1,000+ companies managing 100T+ tokens a month, and now spending less than they expected too! try it today at
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Balogun can play on Monday if Mike Pence has the courage
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Eric and I have worked as a team for the past 12 years. This only makes it formal. Strategy decisions are increasingly technology and systems-design decisions, and we want the company built around that reality. Stepping in as CTO is @rahulgs. Rahul's superpower is being right early. He spots the bet worth making while everyone else is still forming an opinion. A lot of Ramp's best decisions trace back to that instinct, and now it's pointed at the whole technical org. @HamidDadkhah3 is taking on a new role as Head of Engineering. Hamid cares about what the customer actually achieved, not what we shipped, and he moves things over the line without waiting to be asked twice. Engineering orgs are supposed to slow down as they grow. Hamid takes that as a personal challenge. Speed compounds. What used to take a year takes < 1 month now. Glad to have these two running it.
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I love building with A.I because I don’t have to wait for someone to build what I want. I lost so much money trying to get others to understand the vision. A.I in many ways is the best thing to ever happen to humanity… such a huge advancement..
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City vibes are hard to explain right now. There’s a guy smoking a cigar and holding a broom and everyone is shaking his hand as if he’s an essential worker during the pandemic.
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Today, Ramp raised $750M at a $44B valuation. Last time we grew this fast, we were 1/20th the size. For 2000 years, business was built on two pillars. Today, a third: intelligence. It’s your least governed cost. It’s also your single greatest opportunity.
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Every dude walking around NYC right now
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Introducing Stack. The AI operating system that lets accounting firms take on more clients without hiring. Learns your firm's process, runs the close, posts the journals. Fully auditable. We’re living through the biggest shift in accounting since the spreadsheet.
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The Redpoint InfraRed 100 is now live. These are the companies building the infrastructure that powers everything happening in AI right now, from world models and agent runtimes to the sandboxes, databases, and security tools agents depend on. Congratulations to this year's honorees! Read the full 2026 InfraRed Report: our state of the union on AI and cloud infrastructure 👉
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Me forcing my way into the Knicks locker room to meet Mike Brown #9straight#
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I just checked and I went 26 games this season.
My "im not mad about this vc ad" T-shirt has people asking a lot of questions already answered by my shirt.
I’ve worked with Pat 2x over almost ten years. Him and the team @WeAreLegora are helping write the playbook for the AI enterprise sales motion. Well worth the listen for anyone trying to nail scaling AI-native applications.
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Jude Law generated $50M in sales pipeline. Legora is onboarding 50 people every 14 days. 3.6 per day! $100M in ARR in 18 months. $275M by EOY 2026. Wow. Paul Graham described them as “ the most impressive startup I've been to visit in years.” I sat down with @WeAreLegora's CRO, I took some notes and have added them below. 1. Implementation Change Management Success is defined by change management, not just software. Legora focuses on helping customers adopt AI into workflows, which is fundamentally difficult. You must lead the customer through the “hard yards” of organizational change. 2. Why FTEs are Required in Enterprise High-end AI needs human experts. Legora uses Forward Deploy engineers and former attorneys, known as Legal Engineers, to bridge the gap. They solve the “blank page” problem by showing exactly how a workflow looks with agents. 3. Throwing out the Traditional Sales Playbook Old SaaS held demos back. Now you must demo early to show the future. Reps must be audible ready, asking deep questions and building agentic workflows off the cuff during the meeting. AI literacy is low, so the product must lead the way. 4. Brand Awareness as a Performance Driver Brand awareness is a powerful driver of business, not “fluffy bullshit.” A campaign with Jude Law generated over $50M of qualified pipeline in one month. In category creation, if you are not “in the room,” you lose. 5. Price Integrity over Free Legora does not give software away. If a customer is not spending money, they will not commit the resources needed for change. Price integrity ensures both parties have skin in the game and value the partnership. 6. Scaling Talent at Unhinged Speed Legora hires 40 to 50 people every two weeks. Immersive training in Stockholm gets reps ready to sit on calls by week two. They use AI to score demo quality, identifying within 45 days whether a rep will make it. 7. The Lulucast vs. The Bet Your Life Forecast Effective forecasting requires two perspectives: the rep and manager commit, or the bet your life number, and the Lulucast, which is the weighted math version. Accuracy depends on tight entry and exit criteria for every sales stage. 8. Momentum and Pressing the Advantage Product-market fit is unwavering. When you have it, you know it. When you find something that works competitively, document it and press the advantage. In an unhinged market, you must play defense and offense simultaneously. (links below)
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