Ramp
8.3K posts
Ramp
@tryramp
The financial operations platform that saves your business time and money. Trusted by 50,000+ teams.
DM for support 💬 Katılım Ocak 2020
903 Takip Edilen33.4K Takipçiler
Big news! I'm joining @tryramp on April 13! 🎉
Been in awe of what this team has built. Couldn't be more excited to be part of it.
New chapter starts soon. Let's go! 🚀
GIF
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Alright which city is the pop-up going to be in?
Eric Glyman@eglyman
If your kid’s lemonade stand processes 0.5–1% of US GDP, then yes, that’s a fair analogy for @tryramp. Ramp’s data is useful for the same reason it gets cited at all: it is quite consistent with the revenue figures OpenAI and Anthropic release. If it weren’t, no one would care.
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@karimatiyeh @eglyman Be very careful about who they choose for SOC2 compliance!
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Ramp retweetledi
Funny you mention lemonade stands. My kids just launched theirs on Ramp. $5K ARR after day one. Currently raising a Series A.
Investors: DM me. They're very serious about unit economics. Margins on lemonade are unreal. Fully vertically integrated with lemons growing in the backyard.
Eric Glyman@eglyman
If your kid’s lemonade stand processes 0.5–1% of US GDP, then yes, that’s a fair analogy for @tryramp. Ramp’s data is useful for the same reason it gets cited at all: it is quite consistent with the revenue figures OpenAI and Anthropic release. If it weren’t, no one would care.
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@karimatiyeh Q3 on the product roadmap: selling lemon seeds. The lemon rush era is coming
Still day 1
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Lemonade stand serving a full suite of lemon products to over 50,000 lemon operators
Eric Glyman@eglyman
If your kid’s lemonade stand processes 0.5–1% of US GDP, then yes, that’s a fair analogy for @tryramp. Ramp’s data is useful for the same reason it gets cited at all: it is quite consistent with the revenue figures OpenAI and Anthropic release. If it weren’t, no one would care.
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@arakharazian Who knows, that kid may just build a generational lemon company and disrupt legacy lemon production
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Why was it necessary to diminish the importance of your kid’s lemonade stand. DREAM BIG
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If your kid’s lemonade stand processes 0.5–1% of US GDP, then yes, that’s a fair analogy for @tryramp.
Ramp’s data is useful for the same reason it gets cited at all: it is quite consistent with the revenue figures OpenAI and Anthropic release. If it weren’t, no one would care.
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In a rare occurrence, a 5th-floor apartment within the iconic Dakota Building on the Upper West Side has hit the open market for $10M.
4 bedrooms, 4 bathrooms, 9 rooms, and 4,500 total square feet.
#video-view" target="_blank" rel="nofollow noopener">bhsusa.com/for-sale/manha…
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Ramp retweetledi
In the past week, 60% of all @tryramp PRs were done through Inspect. It’s highly effective and has a very high adoption rate across the entire company (80% for all employees, practically 100% for engineering).
It keeps getting better every day as we add more tools for all departments, not just engineering. Sales, product, design, data, customer experience, etc all benefit from Inspect.
Andrey@Andrey__HQ
@_dylanga @tryramp @modal how effective has this been for ramp in terms of money and time saved cumulative to date?
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The first thing I did at @tryramp was set up distributed tracing, structured logging, and metrics for Inspect, our background coding agent.
We now have full visibility in to everything the system is doing: the browser, CF workers/DOs, @modal sandboxes, database calls, etc.
Most importantly, Inspect now has visibility in to itself. It can self-triage runtime errors it encounters and create PRs to fix them.
Every morning, it reviews the past 24 hours of its own @datadoghq dashboard, identifies systemic issues, new errors, and long tail latencies, and has a summary + PR waiting for me at 9am.
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Dylan Garcia@_dylanga
The first thing I did at @tryramp was set up distributed tracing, structured logging, and metrics for Inspect, our background coding agent. We now have full visibility in to everything the system is doing: the browser, CF workers/DOs, @modal sandboxes, database calls, etc. Most importantly, Inspect now has visibility in to itself. It can self-triage runtime errors it encounters and create PRs to fix them. Every morning, it reviews the past 24 hours of its own @datadoghq dashboard, identifies systemic issues, new errors, and long tail latencies, and has a summary + PR waiting for me at 9am.
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