@daveweezi
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XIR @tryramp prev: @demostackhq @olliepets, @letgo, @olx fam: @callasal, Shellybean Wieseneck & toddlers Maren & Crosby
New York City
Joined August 2011
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- Followers867
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David Wieseneck retweeted
Excited to join Alicia Arntson of @eightsleep and @daveweez of @tryramp on the main stage Sept. 30 at OnRamp in SF for "From Zero to AI: How We Went from Spreadsheets to Agents."
Nobody's first attempt at AI adoption goes smoothly. We're getting honest about the false starts and the moment things actually worked. See you there!
David Wieseneck retweeted
I resigned from @tryramp today. I spent the last year there doing applied AI work and neither CEO is acting responsibly. They are racing toward self-closing books with no clear plan for what happens when companies have saved too much time and money. More thoughts below.
This manifesto on Multiplayer AI by @sergeykarayev is spot on.
Give it a read -> multiplayer-ai.com
AI has mostly been single-player mode for the past few years, but real work is collaborative, where humans & agents worth together.
This is what we built with Inspect (newsletter.pragmaticengineer…) and now we are building a similar experiance for the @ Ramp Slack agent.
Take a look at this screenshot, we are working on a Procurement request as a team in the # help-finance channel, while Ramp orchestrates the internal approvals and contract signatures via Ironclad. No need to log into Ramp, no need to switch context from the discussion we are having. The Ramp agent works alongside of us handling the boring parts for the team.
If you had this capability today, what would you want the Ramp agent to do for you? What capabilities should we build into it?
This is legit cool. Gonna need to implement this for the upcoming Finance team offsite.
btw if agents are our coworkers now, do they get an invite to the offsite?
Agents need their own identity to do real work on the web. We partnered with @tryramp to automate our event logistics workflow.
Our agent logs into sites with a Browserbase Context, downloads receipts, and submits them via the Ramp CLI.
David Wieseneck retweeted
In all seriousness, Ramp did not invent the concept of a private-sector economics team producing public-facing research.
The big banks have done it for years. Zillow/Redfin/Indeed all made it a central component of their marketing in the 2010s.
We were however the first to do it for a company of our size and scale, and do it well, which I attribute to a few things.
be sure to like and subscribe for more credible analysis of proprietary data from a highly educated nerd
Fun one with @SoumayaKeynes on the increasing trend of AI startups hiring economics teams!
This is why we built agents.ramp.com
something changed in how i buy software.
at work, i only pick services with an official MCP (posthog over plausible).
at home, same thing. i use strava because i can ask claude about my runs.
i used to care about features, now I care about interacting with my data.
no MCP means i have to use your UI.
that's a dealbreaker now.
ramps doing routers now.
Control the tokens. Save money.
Monitor and control your AI spend on every provider on router.com. Our early users save 40% on average.
Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue. Tradeoffs between latency, reasoning, cost, service tier, open source and closed source models are shifting constantly.
Router sends every request to the model that's actually best for the task and helps you control what tokens you buy. We benchmark it against real work: ~40% lower cost for the same outputs.
Today we're opening it to everyone.
Two lines of code or just change your base URL. No @tryramp account needed.
Free through 2026, first $26 on us.
Get an API key today at router.com
David Wieseneck retweeted
Ramp's the underdog when it comes to LLM routing, but their story makes much more sense than Stripe's.
The leaked Stripe memo talks about OpenRouter as an entry into "intelligence pipelines," parallel to its "revenue pipeline" products.
That obfuscates the basic fact: Token routing (what they call the intelligence pipeline) is about saving money—if it wasn't you would always route to Fable—while Stripe's revenue pipelines are about, well, making money. One's money out, the other money in.
Stripe is just not where teams go to understand how much they're spending. That's pretty squarely Ramp territory, and I think Stripe is swimming against the current with the OpenRouter acquisition.
Monitor and control your AI spend on every provider on router.com. Our early users save 40% on average.
Every week, the price-intelligence-latency frontier shifts, and we expect this trend to continue. Tradeoffs between latency, reasoning, cost, service tier, open source and closed source models are shifting constantly.
Router sends every request to the model that's actually best for the task and helps you control what tokens you buy. We benchmark it against real work: ~40% lower cost for the same outputs.
Today we're opening it to everyone.
Two lines of code or just change your base URL. No @tryramp account needed.
Free through 2026, first $26 on us.
Get an API key today at router.com
This is spot on.
As we bring on agents to work alongside of us as coworkers, we need to give them to tools and the authority to that work, including purchasing*. We don’t want the agents to get stuck and ping us for every little thing. They have a goal. Keep going. Get the job done.
* discovery, sourcing, contracting, payments, renewals, etc.
David Wieseneck retweeted
A slide from our last all hands.
I've also started to call out this behavior publicly in Slack channels.
Tired of consuming workslop
David Wieseneck retweeted
We can finally say AI isn't killing jobs.
A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs.
Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.
don't bury the lede... crazy bullish on @rahulgs becoming cto
Today @karimatiyeh and I are both taking new titles as Co-CEOs of @tryramp.
If you know us, this won't feel like a change. From when we first started building together twelve years ago, our partnership has run on a couple of motivating principles. On decision-making, we trust each other completely to make critical calls for the company across every function. And on organization design, technology is not a distinct part of the company - it is the entirety of it. That is why Karim has for years directly managed risk, operations, and marketing.
Most importantly, at Ramp there is no line between the people who build and the people who do everything else. Everyone is a builder.
For the last 2,656 days, we have run the company this way. This only makes it formal. We thought it was important to do it now because of how we see the AI exponential reshaping what Ramp can be. Decisions of company strategy are increasingly decisions of technology and systems design. We have always believed every function should be approached as a systems-engineering problem (even when the system was primarily human) but the rise of machine intelligence makes this existential. Every part of the company must be positioned to leverage the continued explosion in model intelligence and capabilities. If we do this well, each step-change in what models can do compounds automatically into better products and faster execution without anyone having to rebuild the company to capture it. If we fail to operate this way we will ultimately be outcompeted by a new company that does.
We are also making Rahul Sengottuvelu our CTO. @rahulgs has led Applied AI at Ramp since joining us three years ago through the acquisition of his prior company, Cohere. Before that, his first company was building customer-service agents on GPT-3 at a time when almost no one knew what a large language model was, and he has spent every year since pushing the frontier of what existing models can do. He has also been right on nearly every major technical direction in AI well before it was obvious. Building Ramp now means applying AI to every part of it, and Rahul is the person stepping up to lead that work.
We are still very early in the history of Ramp. Our current chapter is perhaps the most dynamic, but we have never been more optimistic on where it is going and the mission has never been more important. The businesses that trust us are navigating the same shift we are, and we intend to be there for all of it: managing their token spend, supercharging their finance teams, and helping them get more out of every dollar and hour.
- Eric & Karim
Kudos to @jennysvng for getting this done
Perplexity users, this one's for you.
The Ramp MCP is live and brings you 50+ tools to bring all your Ramp data right into your research workflow.
Try it out:
perplexity.ai/computer/conne…
If you want to learn and replicate the secret sauce we got going on here at Ramp. Read this article.
David Wieseneck retweeted
1. i joined @tryramp last november to work on ai
2. we’re building Penny — an agent for the finance work that lives across spreadsheets, inboxes, and late-night tabs
we’re looking for a few design partners to shape what it becomes. sign up to build together. (link in reply)
David Wieseneck retweeted
Huge thank you to @ICONIQCapital, GIC, and @OTPPinfo for co-leading @tryramp’s Series F!
We’re just getting started 💪
Five years ago, we met @eglyman and @karimatiyeh as @tryramp was entering a crowded spend management category with a different mentality: saving customers time and money.
Since then, Ramp has grown into an AI-powered operating system for modern finance, including spend, workflows, and financial operations, all within one integrated platform.
We’re proud to deepen our partnership with Eric, Karim, and the Ramp team as we lead their Series F.
Read more: bit.ly/4uQ32Jh
Disclaimer: bit.ly/3H4dQj0
David Wieseneck retweeted
Holy crap! @tryramp just raised $750M at a $44B valuation. 🤯
That's about 8.5x what Capital One paid to buy Brex two months ago.
Ramp says the new capital raise, led by ICONIC and GIC, to build the cost infrastructure for AI. The big picture the investors are buying is that there's a structural change to the economy coming.
We used to talk about
1. Capital - funding for businesses
2. Labor - people
The third, new one is intelligence. Intelligence comes with a token supply chain and that is paid for next to the existing vendors a business manages.
And there is a cost problem. Uber burned through their entire annual AI token budget in four months.
The Ramp product is rapidly shifting to address this with features such as token spend management, procurement agents, accounting agents, and a deeper Visa tie-up that lets AI agents make corporate payments on their own.
And on pure fundementals Ramp is crushing.
Purchase volume grew ~170% year on year in March, the fastest in three years, at roughly 20x the size they were 3 years ago. Woof.
And the contrast with Brex is noteworthy. Brex created this category. The original "Amex for startups." Capital One bought the whole company in April for $5.15B, a steep markdown from Brex's $12.3B peak.
Ramp, founded a full two years after Brex, just got priced at roughly 3.5x Brex's best-ever number. S
The difference is boring and brutal: Ramp went cash-flow positive and kept compounding. It was worth $13B in March last year and $44B now.