Alex Rafter

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Alex Rafter

Alex Rafter

@arafter

Gay penguin enthusiast (correctly interpreted both). Communicating at @tryramp. Opinions mine, not yours

San Francisco, CA Katılım Mart 2011
745 Takip Edilen605 Takipçiler
Sabitlenmiş Tweet
Alex Rafter
Alex Rafter@arafter·
I present to you Michelle Yeoh and Sandra Oh dancing to Whitney Houston at the Castro Theater. San Francisco is still that girl, and your faves could never.
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Alex Rafter
Alex Rafter@arafter·
@360bratboy I had an amazing time but need to know why nothing from slut pop
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wor$t brat in america
wor$t brat in america@360bratboy·
set list for tonight's kim petras one night only show in sf
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Alex Rafter
Alex Rafter@arafter·
@kimpetrasupdate I had so much fun at the show! Can you help me understand why there wasn’t any slut pop on the set list?
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kim petras updates
kim petras updates@kimpetrasupdate·
The setlist for Kim’s performance tonight at The Castro Theatre in San Francisco. 🖤
kim petras updates tweet media
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Ramp
Ramp@tryramp·
First we multiplied America’s favorite accountant. Now we’re multiplying every accountant in America.
Eric Glyman@eglyman

There are two non-negotiables in accounting: the books must be correct, and they must be ready on time. For decades, companies have satisfied those constraints through an extraordinary amount of manual effort. Highly trained professionals code transactions, re-approve familiar expenses, reconcile mismatches after the fact, and compress all of it into the ritual of month-end close. It works. But it is fundamentally retrospective. Today, @tryramp is introducing an Accounting Agent designed around a different premise: what if bookkeeping happened as the business operated, rather than after it? The agent captures, codes, reviews, validates, accrues, and reconciles spend continuously. It learns directly from the people who understand the nuances best, the accounting team itself, and applies that context in real time. At @perplexity_ai, where velocity is part of the company’s identity, this has allowed their team to stop choosing between speed and accuracy. The majority of transactions are now coded automatically while remaining audit-ready, enabling close to start on day one instead of day thirty. What’s been most striking is how the system learns the subtle, company-specific logic that historically lived only in human judgment. As Jim Romano, CFO at @statesidevodka, described it, the agent is already identifying patterns like when spend belongs in samples rather than travel and entertainment — the kinds of decisions that typically require institutional memory. As he put it, the goal is simple: finance teams should focus on exceptions, not the easy stuff. We’re also seeing the second-order effects emerge quickly. Teams report spending dramatically less time reviewing transactions and substantially more time on planning, analysis, and growth. As one CFO told us, “What used to take hours of manual review now happens automatically. I’m spending nearly all of my time thinking about where the business should go, not retracing where it’s already been.” There is a broader shift underway in accounting. The central question is moving from “what parts of close can be automated?” to “should close even be a discrete event at all?” One belief that increasingly guides our work at Ramp is that information latency inside companies is an invisible tax. When financial truth lags behind operational reality, organizations make slower and often worse decisions. As transaction data becomes inherently digital and systems become capable of learning institutional context, continuous close stops being aspirational and starts becoming inevitable. One thing that surprised us while building this: accounting isn’t constrained by a lack of rules — it’s constrained by how many of those rules are unwritten. Much of financial operations lives in patterns that experienced teams simply know. Seeing software begin to absorb and apply that tacit knowledge has been one of the clearest signals that accounting is entering a new phase. Accounting has always been the record for business reality. Our goal is to help it become something closer to real-time truth. Proud of the team, and grateful to the customers building this alongside us.

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Eric Glyman
Eric Glyman@eglyman·
There are two non-negotiables in accounting: the books must be correct, and they must be ready on time. For decades, companies have satisfied those constraints through an extraordinary amount of manual effort. Highly trained professionals code transactions, re-approve familiar expenses, reconcile mismatches after the fact, and compress all of it into the ritual of month-end close. It works. But it is fundamentally retrospective. Today, @tryramp is introducing an Accounting Agent designed around a different premise: what if bookkeeping happened as the business operated, rather than after it? The agent captures, codes, reviews, validates, accrues, and reconciles spend continuously. It learns directly from the people who understand the nuances best, the accounting team itself, and applies that context in real time. At @perplexity_ai, where velocity is part of the company’s identity, this has allowed their team to stop choosing between speed and accuracy. The majority of transactions are now coded automatically while remaining audit-ready, enabling close to start on day one instead of day thirty. What’s been most striking is how the system learns the subtle, company-specific logic that historically lived only in human judgment. As Jim Romano, CFO at @statesidevodka, described it, the agent is already identifying patterns like when spend belongs in samples rather than travel and entertainment — the kinds of decisions that typically require institutional memory. As he put it, the goal is simple: finance teams should focus on exceptions, not the easy stuff. We’re also seeing the second-order effects emerge quickly. Teams report spending dramatically less time reviewing transactions and substantially more time on planning, analysis, and growth. As one CFO told us, “What used to take hours of manual review now happens automatically. I’m spending nearly all of my time thinking about where the business should go, not retracing where it’s already been.” There is a broader shift underway in accounting. The central question is moving from “what parts of close can be automated?” to “should close even be a discrete event at all?” One belief that increasingly guides our work at Ramp is that information latency inside companies is an invisible tax. When financial truth lags behind operational reality, organizations make slower and often worse decisions. As transaction data becomes inherently digital and systems become capable of learning institutional context, continuous close stops being aspirational and starts becoming inevitable. One thing that surprised us while building this: accounting isn’t constrained by a lack of rules — it’s constrained by how many of those rules are unwritten. Much of financial operations lives in patterns that experienced teams simply know. Seeing software begin to absorb and apply that tacit knowledge has been one of the clearest signals that accounting is entering a new phase. Accounting has always been the record for business reality. Our goal is to help it become something closer to real-time truth. Proud of the team, and grateful to the customers building this alongside us.
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Karine Hsu
Karine Hsu@karine_hsu·
I love @tryramp Brian tailgate is literally incredible
Karine Hsu tweet mediaKarine Hsu tweet mediaKarine Hsu tweet mediaKarine Hsu tweet media
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Zach Bruggeman
Zach Bruggeman@zachbruggeman·
The craft of engineering is rapidly changing. At @tryramp, we built our own background coding agent to accelerate faster. We call it Inspect. It wrote 30% of merged frontend + backend PRs in the past week. It’s powered by @opencode, @modal and @CloudflareDev. It runs fully in the cloud, and starts in seconds, letting every builder work at the speed of thought, no setup required. Today, we’re open sourcing the full blueprint so anybody can build their own Inspect. Just give our spec to your current coding agent, and let it build your new favourite.
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Ramp
Ramp@tryramp·
@simoncorry Job’s still not finished tho
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Anand Kuchibotla
Anand Kuchibotla@akuchibotla·
Just had a baby and thinking more seriously about where I want to settle down. This type of research can feel daunting, so being able to one-shot a working foundation I can iterate on is awesome. Cool to see this work for things beyond business forecasts, great job @RampLabs 👏
Ramp Labs@RampLabs

Today, we’re launching Ramp Sheets, the AI spreadsheet editor built to 10x finance teams, operators, and founders. Ramp Sheets plans, executes, and formats automatically. It’s already being used to model budgets, forecast revenue, and reconcile financial statements.

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Rob
Rob@thegallowboob·
@tryramp Caption this
Rob tweet media
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Tetsuro Miyatake
Tetsuro Miyatake@tmiyatake1·
Rampのライブ配信キャンペーンがめちゃくちゃ良い。ゲスト出演が凄すぎる
Tetsuro Miyatake tweet media
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