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Federal agencies have reported an estimated $2.8 trillion in improper payments since 2003. Some from fraud, some error. But all the result of manual and fragmented financial systems. Today, those teams are invited to the future. This is Ramp for Public Sector. A product with dedicated environments for FedRAMP...

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120 hours of finance busywork cut to 18 in one month. I’m Wesley. We run a small finance team that handles books, invoices and reports for our company. People waited on bank data. Accountants waited on receipts. Approvals sat in inboxes. Month-end always slipped because nobody had the full picture of where every number stood. We kept adding spreadsheets, checklists and extra meetings. The work stayed just as messy. Everything changed when we brought Viktor into Slack and gave him ownership of our Finance Operations workflow. He collected every incoming invoice, matched payments to the bank, tracked every expense, chased missing receipts, flagged mismatches, updated the cash position and packaged the weekly report before anyone had to ask. The books kept moving because someone finally owned them from start to finish. Over one month he processed 142 invoices, reconciled 87 bank transactions, tracked 56 expense reports, chased 31 missing receipts, flagged 9 discrepancies, updated the cash position 20 times and prepared 12 weekly finance packs. What used to take 120 hours of manual chasing became 18 hours of human review. The biggest difference wasn’t faster closes. It was that our finance people finally spent their time on the numbers instead of chasing them. How much of your team’s week goes to the work around the work, not the work itself? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership
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120 hours of finance busywork cut to 18 in one month. I’m Wesley. We run a small finance team that handles books, invoices and reports for our company. People waited on bank data. Accountants waited on receipts. Approvals sat in inboxes. Month-end always slipped because nobody had the full picture of where every number stood. We kept adding spreadsheets, checklists and extra meetings. The work stayed just as messy. Everything changed when we brought Viktor into Slack and gave him ownership of our Finance Operations workflow. He collected every incoming invoice, matched payments to the bank, tracked every expense, chased missing receipts, flagged mismatches, updated the cash position and packaged the weekly report before anyone had to ask. The books kept moving because someone finally owned them from start to finish. Over one month he processed 142 invoices, reconciled 87 bank transactions, tracked 56 expense reports, chased 31 missing receipts, flagged 9 discrepancies, updated the cash position 20 times and prepared 12 weekly finance packs. What used to take 120 hours of manual chasing became 18 hours of human review. The biggest difference wasn’t faster closes. It was that our finance people finally spent their time on the numbers instead of chasing them. How much of your team’s week goes to the work around the work, not the work itself? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership

Wesley

71,884 Aufrufe • vor 1 Monat

For years, we hit the same wall everyone else did. You automate a few steps. Then complexity wins. And your best people are back to doing work that should run itself. That's what we set out to fix - not for our customers first, but for ourselves. I'm proud to introduce Akai by Deel. Akai is an interconnected system of agents that learns your workflows, automates every step, and gets smarter with every run - auditably, on any system. Today, 100% of Deel's operations teams, across Finance, Tax, Treasury, Benefits, and HR, run on Akai. The results stopped us in our tracks: → 100,000+ cases handled automatically every month → 8,000+ hours of payment processing - now background tasks → Reconciliation that took 20+ days - now done in minutes → 100% automation in areas we couldn't reach after years of coding → 91,000+ manual hours saved every single month Now, every team is now building agents themselves. No developers. No IT tickets. Just the people who know the work, running it. That's the ceiling we broke. Now we're opening it up. With built-in voice, transactions across any payment method, and the ability to process and analyse any document or dataset - out of the box. Your first agents could be running by tomorrow! Get early access at
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For years, we hit the same wall everyone else did. You automate a few steps. Then complexity wins. And your best people are back to doing work that should run itself. That's what we set out to fix - not for our customers first, but for ourselves. I'm proud to introduce Akai by Deel. Akai is an interconnected system of agents that learns your workflows, automates every step, and gets smarter with every run - auditably, on any system. Today, 100% of Deel's operations teams, across Finance, Tax, Treasury, Benefits, and HR, run on Akai. The results stopped us in our tracks: → 100,000+ cases handled automatically every month → 8,000+ hours of payment processing - now background tasks → Reconciliation that took 20+ days - now done in minutes → 100% automation in areas we couldn't reach after years of coding → 91,000+ manual hours saved every single month Now, every team is now building agents themselves. No developers. No IT tickets. Just the people who know the work, running it. That's the ceiling we broke. Now we're opening it up. With built-in voice, transactions across any payment method, and the ability to process and analyse any document or dataset - out of the box. Your first agents could be running by tomorrow! Get early access at

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We built a B2B SaaS sales company and here’s what it taught us about B2B SaaS sales 🧵👇 (but actually) Today we’re launching Rox, the first publicly available AI agent swarm for the top sales teams, and in the private beta it already helped reps grow their books 30%. 2025 is going to be a huge year for growth. Enterprises are doubling next year’s revenue goals, but no one is doubling team sizes. Every rep will have to bring in more, and AI can help them do that. But there’s a wrong way and a right way. Much of today’s AI aims to replace low-value work. But sales follows a power law: 90% of revenue comes from the top 15% of enterprise sales reps. The greatest gains will come from supercharging the highest value work — raising the ceiling, not the floor. Rox equips the very best with a swarm of AI agents, acting as an army of analysts to help them plan, prioritize, research, engage, and keep up with their customers. Over 35 of the best-performing enterprise sales teams have adopted Rox virally. For example, Ramp has rolled it out to their AE and AM teams, and we are now integrating their internal data systems with Rox. The Enterprise AE team alone gains 225+ hours per week to boost pipeline execution activities. Rox is now in public beta. No barriers. No need to request a demo. Try it now for free →
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We built a B2B SaaS sales company and here’s what it taught us about B2B SaaS sales 🧵👇 (but actually) Today we’re launching Rox, the first publicly available AI agent swarm for the top sales teams, and in the private beta it already helped reps grow their books 30%. 2025 is going to be a huge year for growth. Enterprises are doubling next year’s revenue goals, but no one is doubling team sizes. Every rep will have to bring in more, and AI can help them do that. But there’s a wrong way and a right way. Much of today’s AI aims to replace low-value work. But sales follows a power law: 90% of revenue comes from the top 15% of enterprise sales reps. The greatest gains will come from supercharging the highest value work — raising the ceiling, not the floor. Rox equips the very best with a swarm of AI agents, acting as an army of analysts to help them plan, prioritize, research, engage, and keep up with their customers. Over 35 of the best-performing enterprise sales teams have adopted Rox virally. For example, Ramp has rolled it out to their AE and AM teams, and we are now integrating their internal data systems with Rox. The Enterprise AE team alone gains 225+ hours per week to boost pipeline execution activities. Rox is now in public beta. No barriers. No need to request a demo. Try it now for free →

Rox

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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, Ramp 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, 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 Stateside Vodka, 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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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, Ramp 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, 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 Stateside Vodka, 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.

Eric Glyman

130,701 Aufrufe • vor 7 Monaten

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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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

Eric Glyman

337,152 Aufrufe • vor 2 Monaten

Eight years ago, in 2018, OKX began building our European business. Over the past eight years, we have invested heavily in products, technology, governance, risk management, and regulatory engagement. We have worked closely with regulators across Europe to help shape the next generation of digital finance. The journey has not always been perfect. Like every fast-growing company, we have encountered gaps, made mistakes, and faced intense regulatory scrutiny. When that happened, we addressed the issues, accepted responsibility, learned from them, and strengthened our controls and governance. Today, OKX is proud to be the first company in the European Union to receive a MiCA licence, while also holding authorization for the broadest range of regulated crypto services under the MiCA framework. Compliance is not just about obtaining a licence. It is about building a culture where governance, risk management, transparency, and customer protection are embedded into every decision we make. We have invested significantly in building one of the industry’s strongest control frameworks and continue to work closely with independent external auditors to demonstrate the effectiveness of our governance and compliance systems. Today, European users can access EUR on-ramp and off-ramp services, zero-fee stablecoin payments through the Mastercard network, hundreds of crypto spot trading pairs, and a comprehensive suite of crypto, commodity, and equity derivatives. We have also launched an AI-native Agentic infrastructure that enables customers to interact with our platform through AI agents, with many more innovations already in development. Transparency has always been a core principle for us. We were the first major global platform to publish Proof of Reserves continuously for more than 40 consecutive months, helping establish what has since become an industry standard. Our Group financial statements are also audited by a Big Four accounting firm, reinforcing our commitment to financial governance and accountability. Today, hundreds of OKX employees across Europe are building products and services for millions of users. Our ambition goes far beyond becoming another crypto exchange. We are building the financial infrastructure for the next generation of digital finance—bringing together crypto, traditional assets, payments, AI, and on-chain financial services on a single regulated platform. This is only the beginning. Europe will continue to be one of the most important regions for OKX, and we remain committed to investing, innovating, and building here for decades to come.
0:27

Eight years ago, in 2018, OKX began building our European business. Over the past eight years, we have invested heavily in products, technology, governance, risk management, and regulatory engagement. We have worked closely with regulators across Europe to help shape the next generation of digital finance. The journey has not always been perfect. Like every fast-growing company, we have encountered gaps, made mistakes, and faced intense regulatory scrutiny. When that happened, we addressed the issues, accepted responsibility, learned from them, and strengthened our controls and governance. Today, OKX is proud to be the first company in the European Union to receive a MiCA licence, while also holding authorization for the broadest range of regulated crypto services under the MiCA framework. Compliance is not just about obtaining a licence. It is about building a culture where governance, risk management, transparency, and customer protection are embedded into every decision we make. We have invested significantly in building one of the industry’s strongest control frameworks and continue to work closely with independent external auditors to demonstrate the effectiveness of our governance and compliance systems. Today, European users can access EUR on-ramp and off-ramp services, zero-fee stablecoin payments through the Mastercard network, hundreds of crypto spot trading pairs, and a comprehensive suite of crypto, commodity, and equity derivatives. We have also launched an AI-native Agentic infrastructure that enables customers to interact with our platform through AI agents, with many more innovations already in development. Transparency has always been a core principle for us. We were the first major global platform to publish Proof of Reserves continuously for more than 40 consecutive months, helping establish what has since become an industry standard. Our Group financial statements are also audited by a Big Four accounting firm, reinforcing our commitment to financial governance and accountability. Today, hundreds of OKX employees across Europe are building products and services for millions of users. Our ambition goes far beyond becoming another crypto exchange. We are building the financial infrastructure for the next generation of digital finance—bringing together crypto, traditional assets, payments, AI, and on-chain financial services on a single regulated platform. This is only the beginning. Europe will continue to be one of the most important regions for OKX, and we remain committed to investing, innovating, and building here for decades to come.

Star_OKX

51,345 Aufrufe • vor 2 Monaten

Every Wall Street giant that owns an AI data center is suddenly looking for a buyer. And NONE of them want to be the last one holding it. Three of them made their move in the last two weeks: Vantage Data Centers is exploring an exit. Its owners, Silver Lake and DigitalBridge, are weighing a listing at around $100 billion, or a sale, or a stake sale. It would be the largest data center IPO ever done. Three days earlier, CyrusOne started the same process. KKR and Global Infrastructure Partners met Goldman Sachs and Morgan Stanley, and the banks pitched for roles on a listing that could come as early as 2027. Last month, Switch hired Goldman and JPMorgan to take it public at close to $80 billion including debt, possibly by the fourth quarter. Three different companies moved inside the same 14 days, and the same handful of investment banks took every call. And these are the exact same firms that BOUGHT these companies off the public market four years ago. Between June 2021 and early 2022, private equity took the data center industry private. Blackstone bought QTS. KKR and Global Infrastructure Partners took CyrusOne private in a deal worth about $15 billion. DigitalBridge and IFM took Switch private for about $11 billion. Together those deals ran past $35 billion. By 2023 there were only two pure-play data center companies left on the public market. The logic at the time was that data centers burn cash for years before they pay, and public shareholders hate that. But private money was patient, and private money could wait. Four years later, the AI boom arrived and every one of those buildings became a gold mine. So follow this: Switch went private at about $11 billion in 2022. Its owners now want close to $80 billion for it. That is roughly 7x, in four years, on the same buildings. And DigitalBridge sits on both sides of this. It owns a piece of Vantage and it took Switch private. It is now looking for the door on BOTH. The question now is who is supposed to buy. There is no bigger private buyer left to sell to. These are already the largest infrastructure funds on Earth, and the price tags now run to $100 billion. The only pocket deep enough is the public market, which means anyone with a brokerage account or an index fund. The people who bought low from the public are now organizing to sell high back to the public. And they are doing it while telling everyone the buildout is just getting started. KKR raised a record $19.2 billion for its newest infrastructure fund this month, and in June launched a separate company with over $10 billion committed to finance more construction. So one hand raises fresh billions to build more data centers, and the other hand sells the finished ones to whoever will take them. None of this proves anyone thinks the boom is ending. Selling into strength is what these firms are paid to do, and every one of these deals is early stage and might never happen. But the timing tells you something: The most sophisticated infrastructure investors alive spent four years accumulating these assets in private, and all decided in the same two weeks that now is the moment to find someone else to own them. Four years ago these firms decided the public market was too impatient to own data centers. Now they want the public market to own them again, at 7x the price. Quite suspicious.
1:52

Every Wall Street giant that owns an AI data center is suddenly looking for a buyer. And NONE of them want to be the last one holding it. Three of them made their move in the last two weeks: Vantage Data Centers is exploring an exit. Its owners, Silver Lake and DigitalBridge, are weighing a listing at around $100 billion, or a sale, or a stake sale. It would be the largest data center IPO ever done. Three days earlier, CyrusOne started the same process. KKR and Global Infrastructure Partners met Goldman Sachs and Morgan Stanley, and the banks pitched for roles on a listing that could come as early as 2027. Last month, Switch hired Goldman and JPMorgan to take it public at close to $80 billion including debt, possibly by the fourth quarter. Three different companies moved inside the same 14 days, and the same handful of investment banks took every call. And these are the exact same firms that BOUGHT these companies off the public market four years ago. Between June 2021 and early 2022, private equity took the data center industry private. Blackstone bought QTS. KKR and Global Infrastructure Partners took CyrusOne private in a deal worth about $15 billion. DigitalBridge and IFM took Switch private for about $11 billion. Together those deals ran past $35 billion. By 2023 there were only two pure-play data center companies left on the public market. The logic at the time was that data centers burn cash for years before they pay, and public shareholders hate that. But private money was patient, and private money could wait. Four years later, the AI boom arrived and every one of those buildings became a gold mine. So follow this: Switch went private at about $11 billion in 2022. Its owners now want close to $80 billion for it. That is roughly 7x, in four years, on the same buildings. And DigitalBridge sits on both sides of this. It owns a piece of Vantage and it took Switch private. It is now looking for the door on BOTH. The question now is who is supposed to buy. There is no bigger private buyer left to sell to. These are already the largest infrastructure funds on Earth, and the price tags now run to $100 billion. The only pocket deep enough is the public market, which means anyone with a brokerage account or an index fund. The people who bought low from the public are now organizing to sell high back to the public. And they are doing it while telling everyone the buildout is just getting started. KKR raised a record $19.2 billion for its newest infrastructure fund this month, and in June launched a separate company with over $10 billion committed to finance more construction. So one hand raises fresh billions to build more data centers, and the other hand sells the finished ones to whoever will take them. None of this proves anyone thinks the boom is ending. Selling into strength is what these firms are paid to do, and every one of these deals is early stage and might never happen. But the timing tells you something: The most sophisticated infrastructure investors alive spent four years accumulating these assets in private, and all decided in the same two weeks that now is the moment to find someone else to own them. Four years ago these firms decided the public market was too impatient to own data centers. Now they want the public market to own them again, at 7x the price. Quite suspicious.

Ricardo

71,148 Aufrufe • vor 1 Monat

This Chinese developer runs 9 agents on Claude Code under a GPT-5.5 orchestrator and they close 500 client tasks a month without a single assistant. His client work is closed without him, on a single laptop and only three subscriptions. The entire system lives on one MacBook Pro M4 with 128 GB of memory and subscriptions to Claude Code and GPT-5.5 cost him approximately $300 a month. There is no CRM, no team, no office only a terminal window with 9 parallel streams. The orchestrator works with a simple system prompt: «You are the orchestrator of a client inbox. Classify every incoming email into 4 categories: code, content, analysis, communication. Delegate to the corresponding worker agent. When the result is ready, check it for completeness, send it to the client on my behalf, and mark the task as closed. Do not ask clarifying questions.» And the orchestrator checks the inbox every 30 seconds, classifies fresh emails, and distributes them to 9 worker agents on Claude Code, each of whom is responsible for their own class of tasks. Here is an example of how one of them closes a request to refactor a client's auth module: Task: refactor user-auth module Broke the monolith into 3 files by responsibilities Added unit tests, coverage increased to 87% Renamed 4 functions to camelCase according to the style guide PR is ready for review, link below» And so about 50 cycles a day. By noon 25 tasks are closed, by dinner 50, and by the end of the month 500. On average, it takes about 7 minutes from the appearance of an email in the inbox to sending the result to the client. This is more than what a live team of 6 developers, copywriters and analysts working 8 hours a day closes. This is no longer an agency. This is a workstation where an orchestrator replaces a manager, and 9 worker agents replace the staff. The pipeline goes from inbox to closing 500 times a month without human participation at any step.
1:32

This Chinese developer runs 9 agents on Claude Code under a GPT-5.5 orchestrator and they close 500 client tasks a month without a single assistant. His client work is closed without him, on a single laptop and only three subscriptions. The entire system lives on one MacBook Pro M4 with 128 GB of memory and subscriptions to Claude Code and GPT-5.5 cost him approximately $300 a month. There is no CRM, no team, no office only a terminal window with 9 parallel streams. The orchestrator works with a simple system prompt: «You are the orchestrator of a client inbox. Classify every incoming email into 4 categories: code, content, analysis, communication. Delegate to the corresponding worker agent. When the result is ready, check it for completeness, send it to the client on my behalf, and mark the task as closed. Do not ask clarifying questions.» And the orchestrator checks the inbox every 30 seconds, classifies fresh emails, and distributes them to 9 worker agents on Claude Code, each of whom is responsible for their own class of tasks. Here is an example of how one of them closes a request to refactor a client's auth module: Task: refactor user-auth module Broke the monolith into 3 files by responsibilities Added unit tests, coverage increased to 87% Renamed 4 functions to camelCase according to the style guide PR is ready for review, link below» And so about 50 cycles a day. By noon 25 tasks are closed, by dinner 50, and by the end of the month 500. On average, it takes about 7 minutes from the appearance of an email in the inbox to sending the result to the client. This is more than what a live team of 6 developers, copywriters and analysts working 8 hours a day closes. This is no longer an agency. This is a workstation where an orchestrator replaces a manager, and 9 worker agents replace the staff. The pipeline goes from inbox to closing 500 times a month without human participation at any step.

Blaze

29,917 Aufrufe • vor 4 Monaten

I was watching some Pi-related videos on Kuaishou in China, and honestly, I found it almost unbelievable. Every single day, they are reporting “good news.” Good news, good news, and more good news. But what is the “good news”? A few days ago, they were saying: “September 15 — we will see the result!” Now September 15 is almost here, so suddenly it has changed to: “By the end of this month, we will see the result!” And when the end of this month comes, what will happen? It will probably become next month again. Month after month, it is always the same story: “Very soon!” “This month!” “By the end of the month!” “We are about to see the result!” Look at how many people are watching these videos. Tens of thousands of likes. So many pioneers are listening to the same promises again and again. I recorded some of these videos because I want everyone to see what is actually happening. Is this only happening in China? No. We can see similar situations in many other countries as well. There is misinformation everywhere. There are false promises and misleading claims everywhere. Yet many pioneers still choose to watch them, believe them, and wait for the next promised date. Can we really get the result we want by doing this? If pioneers spend every day listening to false promises and being misled, how can that bring us closer to the result? I truly hope everyone will wake up. Many pioneers have already been misled again and again. Some have even suffered serious financial losses. After being disappointed repeatedly, they become angry and eventually blame the Pi Core Team and the project. But we need to ask an important question: Whose responsibility is it to learn, think, verify information, and protect ourselves from misinformation? Pioneers also have responsibility. If we refuse to learn, refuse to think independently, and continue believing every person who tells us, “The result is coming this month,” then the same cycle will continue. Please wake up. Stop chasing dates. Stop chasing rumors. Stop believing something simply because thousands of people liked it. Learn. Think. Verify. Develop your own judgment. That is how pioneers can protect themselves. — Doris Yin
5:11

I was watching some Pi-related videos on Kuaishou in China, and honestly, I found it almost unbelievable. Every single day, they are reporting “good news.” Good news, good news, and more good news. But what is the “good news”? A few days ago, they were saying: “September 15 — we will see the result!” Now September 15 is almost here, so suddenly it has changed to: “By the end of this month, we will see the result!” And when the end of this month comes, what will happen? It will probably become next month again. Month after month, it is always the same story: “Very soon!” “This month!” “By the end of the month!” “We are about to see the result!” Look at how many people are watching these videos. Tens of thousands of likes. So many pioneers are listening to the same promises again and again. I recorded some of these videos because I want everyone to see what is actually happening. Is this only happening in China? No. We can see similar situations in many other countries as well. There is misinformation everywhere. There are false promises and misleading claims everywhere. Yet many pioneers still choose to watch them, believe them, and wait for the next promised date. Can we really get the result we want by doing this? If pioneers spend every day listening to false promises and being misled, how can that bring us closer to the result? I truly hope everyone will wake up. Many pioneers have already been misled again and again. Some have even suffered serious financial losses. After being disappointed repeatedly, they become angry and eventually blame the Pi Core Team and the project. But we need to ask an important question: Whose responsibility is it to learn, think, verify information, and protect ourselves from misinformation? Pioneers also have responsibility. If we refuse to learn, refuse to think independently, and continue believing every person who tells us, “The result is coming this month,” then the same cycle will continue. Please wake up. Stop chasing dates. Stop chasing rumors. Stop believing something simply because thousands of people liked it. Learn. Think. Verify. Develop your own judgment. That is how pioneers can protect themselves. — Doris Yin

Doris Yin 东方紫莲🪷🪷🪷

19,892 Aufrufe • vor 7 Tagen

Excited to share that we raised $2.1M to build the future of CX and back-office operations in financial services. For fintechs and banks, customer service back-office work remains a maze of manual processes, including quality assurance, dispute investigations, and fraud and compliance checks. At Rulebase, we built Coworker to work alongside CX and ops teams to: - Review 100% of interactions for compliance and quality assurance - Automatically file and track fraud and dispute cases end-to-end across CX, case management, and back-office platforms - Proactively follow up with teammates and third-party partners to keep SLAs on track - Flag compliance risks in real time and generate audit-ready reports. Coworker bridges CX and back-office ops, automating the most manual tasks so nothing slips through the cracks and every customer issue is resolved quicker and more effectively. A massive thank you to our investors, customers, and the growing Rulebase team for believing in our vision and being part of this journey! Our round was led by Loren Straub from Bowery Capital, with participation from Y Combinator, Commerce Ventures, Transpose Platform, and founders of t3 chat, Atrium, Cron (now Notion Calendar): Theo - t3.gg, Raphael Schaad, and more. Incredibly grateful to have the support of the Y Combinator community and mentors, David Lieb and Pete Koomen. Thank you all for being incredible partners on this journey!
2:00

Excited to share that we raised $2.1M to build the future of CX and back-office operations in financial services. For fintechs and banks, customer service back-office work remains a maze of manual processes, including quality assurance, dispute investigations, and fraud and compliance checks. At Rulebase, we built Coworker to work alongside CX and ops teams to: - Review 100% of interactions for compliance and quality assurance - Automatically file and track fraud and dispute cases end-to-end across CX, case management, and back-office platforms - Proactively follow up with teammates and third-party partners to keep SLAs on track - Flag compliance risks in real time and generate audit-ready reports. Coworker bridges CX and back-office ops, automating the most manual tasks so nothing slips through the cracks and every customer issue is resolved quicker and more effectively. A massive thank you to our investors, customers, and the growing Rulebase team for believing in our vision and being part of this journey! Our round was led by Loren Straub from Bowery Capital, with participation from Y Combinator, Commerce Ventures, Transpose Platform, and founders of t3 chat, Atrium, Cron (now Notion Calendar): Theo - t3.gg, Raphael Schaad, and more. Incredibly grateful to have the support of the Y Combinator community and mentors, David Lieb and Pete Koomen. Thank you all for being incredible partners on this journey!

chidi

76,362 Aufrufe • vor 1 Jahr

I’m excited to share that we’ve raised a $70M Series B, led by a16z and ICONIQ - bringing our total funding to over $100M in under a year. Accounting is a $500B category, and yet most finance teams are still running on systems built in the 90s. Rillet is rebuilding the financial core of modern companies. We’ve rebuilt the general ledger from the ground up to assemble the first AI-native ERP, built for speed, flexibility, and automation. Since coming out of stealth ~12 months ago, we’ve grown lightning fast. We now power the finance stack behind companies like Postscript, Windsurf (retired), Decagon, Bitwarden and many more across many industries. Windsurf scaled revenue 10x while running global finance with just two people and Rillet. Postscript, with over $100M in ARR and four entities, now closes their books in three days. These are the kinds of results we hold ourselves to. We’ve also partnered with some of the largest and best accounting firms in the country, including Armanino, Wiss Labs and Attivo. The whole industry has been begging for change for decades. With Rillet, it’s here. This round came together very quickly. The first call happened while I was eating a tuna sandwich in SF (I did not finish it). Three days later, we had a signed term sheet. It was a reflection of the momentum we’re seeing both in the product and in the market. Since announcing our Series A just weeks ago, we’ve already doubled our ARR. None of this would be possible without our team of accountants and engineers. A few months ago, I was still jumping on support calls to help customers. Today, our implementation, success, and product teams are delivering outcomes with the same speed and care that got us here. We originally booked an offsite to celebrate the Series A. In classic Rillet speed fashion, it’s now an A + B celebration. It’s proof of how fast things can move when customers love the product and a reminder of how much this team has earned the chance to celebrate together. We’re fortunate to welcome a16z and ICONIQ to the table. Alex Rampell, Seema Amble, Marc Andrusko and Seth Pierrepont, Sarah bring clarity, urgency and deep conviction about the future of AI and finance. We’re also grateful to have continued support from our early partners Sequoia Capital, First Round, Creandum who believed in us from the start, and excited about working with Oak HC/FT and FOG Ventures. To the Rillet team, again - thank you for building with care, focus, and speed. To our customers - thank you for pushing us, trusting us, and helping shape the product. We are honored to serve you. Let’s go!
1:58

I’m excited to share that we’ve raised a $70M Series B, led by a16z and ICONIQ - bringing our total funding to over $100M in under a year. Accounting is a $500B category, and yet most finance teams are still running on systems built in the 90s. Rillet is rebuilding the financial core of modern companies. We’ve rebuilt the general ledger from the ground up to assemble the first AI-native ERP, built for speed, flexibility, and automation. Since coming out of stealth ~12 months ago, we’ve grown lightning fast. We now power the finance stack behind companies like Postscript, Windsurf (retired), Decagon, Bitwarden and many more across many industries. Windsurf scaled revenue 10x while running global finance with just two people and Rillet. Postscript, with over $100M in ARR and four entities, now closes their books in three days. These are the kinds of results we hold ourselves to. We’ve also partnered with some of the largest and best accounting firms in the country, including Armanino, Wiss Labs and Attivo. The whole industry has been begging for change for decades. With Rillet, it’s here. This round came together very quickly. The first call happened while I was eating a tuna sandwich in SF (I did not finish it). Three days later, we had a signed term sheet. It was a reflection of the momentum we’re seeing both in the product and in the market. Since announcing our Series A just weeks ago, we’ve already doubled our ARR. None of this would be possible without our team of accountants and engineers. A few months ago, I was still jumping on support calls to help customers. Today, our implementation, success, and product teams are delivering outcomes with the same speed and care that got us here. We originally booked an offsite to celebrate the Series A. In classic Rillet speed fashion, it’s now an A + B celebration. It’s proof of how fast things can move when customers love the product and a reminder of how much this team has earned the chance to celebrate together. We’re fortunate to welcome a16z and ICONIQ to the table. Alex Rampell, Seema Amble, Marc Andrusko and Seth Pierrepont, Sarah bring clarity, urgency and deep conviction about the future of AI and finance. We’re also grateful to have continued support from our early partners Sequoia Capital, First Round, Creandum who believed in us from the start, and excited about working with Oak HC/FT and FOG Ventures. To the Rillet team, again - thank you for building with care, focus, and speed. To our customers - thank you for pushing us, trusting us, and helping shape the product. We are honored to serve you. Let’s go!

Nicolas Kopp

258,731 Aufrufe • vor 1 Jahr

Every marketing leader I talk to is facing the same challenge: Scale 📶 The demand for content has exploded, but the systems behind it haven’t kept up. Teams are expected to launch more campaigns, in more markets, with more data, all while maintaining brand integrity and speed. Chat-based AI tools help individuals move faster. But they don’t solve the harder problem: scaling content creation across markets and audiences. Over the past year, we’ve seen the limits of chat-based AI inside large organizations. 📢 Today, we’re introducing ⊞ Jasper Grid ⊞ — the backbone of Content Pipelines. ⊞ Grid is a unified, no-code system that lets AI agents plan, produce, and optimize content at scale. It transforms structured inputs like briefs, data, and brand guidelines into launch-ready assets with speed and precision. Under the hood, Grid runs on a network of modular AI agents, a resilient scheduler, and deep integrations with the tools marketers already use — all governed by brand guardrails so teams can move fast without losing control. 🏆 The result: faster time to market, consistent brand execution, and true operational scale. AI is becoming infrastructure. The next generation of enterprise marketing will run on systems built for speed, precision, and trust. Proud of the Jasper team and our early customers who helped shape this moment.
1:15

Every marketing leader I talk to is facing the same challenge: Scale 📶 The demand for content has exploded, but the systems behind it haven’t kept up. Teams are expected to launch more campaigns, in more markets, with more data, all while maintaining brand integrity and speed. Chat-based AI tools help individuals move faster. But they don’t solve the harder problem: scaling content creation across markets and audiences. Over the past year, we’ve seen the limits of chat-based AI inside large organizations. 📢 Today, we’re introducing ⊞ Jasper Grid ⊞ — the backbone of Content Pipelines. ⊞ Grid is a unified, no-code system that lets AI agents plan, produce, and optimize content at scale. It transforms structured inputs like briefs, data, and brand guidelines into launch-ready assets with speed and precision. Under the hood, Grid runs on a network of modular AI agents, a resilient scheduler, and deep integrations with the tools marketers already use — all governed by brand guardrails so teams can move fast without losing control. 🏆 The result: faster time to market, consistent brand execution, and true operational scale. AI is becoming infrastructure. The next generation of enterprise marketing will run on systems built for speed, precision, and trust. Proud of the Jasper team and our early customers who helped shape this moment.

Timothy Young

1,307,286 Aufrufe • vor 10 Monaten

UPDATE: Pete Z and I are half way finished filming the second NDIS video and we will hopefully have it out to you all by the end of April. I just want to thank everybody again so much for their support. This has been by far the most amount of support I have ever received for anything. I was plugging away at my political journalism and activism work for about 6 or 7 hours a day every day for 6 years with not much to show for it. There were dark times back in 2023 when I had literally $50 in my account and I had to ask my parents for loans to buy fuel for my car. Now for the first time in years I can actually live without financial stress. I’m able to finally make this my full time professional job. And I’m only able to do that because of the massive amount of support I’ve had from the public. Like 300,000 extra followers on all my accounts in just one month. Thank you so much everybody. I want to spend my life fighting for a better Australia and fighting for the future of the West. I feel so blessed that I finally have support, thank you so much.
2:08

UPDATE: Pete Z and I are half way finished filming the second NDIS video and we will hopefully have it out to you all by the end of April. I just want to thank everybody again so much for their support. This has been by far the most amount of support I have ever received for anything. I was plugging away at my political journalism and activism work for about 6 or 7 hours a day every day for 6 years with not much to show for it. There were dark times back in 2023 when I had literally $50 in my account and I had to ask my parents for loans to buy fuel for my car. Now for the first time in years I can actually live without financial stress. I’m able to finally make this my full time professional job. And I’m only able to do that because of the massive amount of support I’ve had from the public. Like 300,000 extra followers on all my accounts in just one month. Thank you so much everybody. I want to spend my life fighting for a better Australia and fighting for the future of the West. I feel so blessed that I finally have support, thank you so much.

Drew Pavlou 🇦🇺🇺🇸🇺🇦🇹🇼

30,953 Aufrufe • vor 5 Monaten

The market is watching xAI charge $50 billion per gigawatt and the rest of the neocloud sector run up is just getting started (Save this). According to Gavin Baker of Atreides Management, this is the most important number in AI infrastructure right now, xAI is monetizing compute at $50 billion per gigawatt on the Google deal, 2 to 3 times what any neocloud competitor charges. Google is paying $920 million per month for access to roughly 110,000 Nvidia GPUs through June 2029, and Anthropic is paying $1.25 billion per month for Colossus 1's 300 megawatts. Baker's point is simple that stop tracking rocket launches, stop tracking GPU orders, model gigawatt additions. At $50 billion per gigawatt, every new gigawatt that xAI energizes over the next 12 months is a revenue event that the market has not yet priced in. But this is not just an xAI story but rather why neocloud stocks are one of the most mispriced assets in the entire AI stack. Neoclouds charge $17 to $25 billion per gigawatt in contract value, a dramatic discount to xAI's pricing, but still an extraordinary business model when the underlying infrastructure costs $9 to $12 million per megawatt to operate and customers are signing 5-year locked contracts. H100 GPU-hours from neoclouds like Nebius at $2.95 per GPU-hour are 66% cheaper than hyperscaler rates, which is the structural reason enterprise AI teams are shifting spend to neoclouds at an accelerating pace. The neocloud market is projected to grow 69% annually through 2030 to reach nearly $180 billion and right now only a handful of public companies offer direct exposure to it. Nebius is the standout among the publicly traded neoclouds. It reported Q1 2026 AI cloud revenue of $399 million, an 841% increase year over year beating estimates, with its CEO stating that demand continues to exceed available capacity and customers are actively being turned away. Nebius commands a 20 to 25% revenue premium over peers thanks to its full-stack software offering, European sovereign positioning, and data residency advantages that physically prevent hyperscalers from competing for a large portion of its customer base. It has $49 billion in contracted backlog with Meta, Microsoft, and Nvidia meaning its revenue trajectory for the next three to five years is not a forecast, it is a schedule. The competitive moat is in power, permits, and speed exactly what xAI has proven is the true bottleneck. Jensen Huang said publicly that xAI deploys data centers faster than anyone else in the ecosystem, and Baker called out that this deployment speed advantage directly translates to monetization speed, every week of earlier energization at these pricing levels is worth hundreds of millions in revenue. Neoclouds with secured power, permits, and long-term customer contracts are not in a fair race against companies still waiting on grid connections and zoning approvals. The companies with the most locked in gigawatts coming online in 2026 and 2027 are about to have very good years.
1:14

The market is watching xAI charge $50 billion per gigawatt and the rest of the neocloud sector run up is just getting started (Save this). According to Gavin Baker of Atreides Management, this is the most important number in AI infrastructure right now, xAI is monetizing compute at $50 billion per gigawatt on the Google deal, 2 to 3 times what any neocloud competitor charges. Google is paying $920 million per month for access to roughly 110,000 Nvidia GPUs through June 2029, and Anthropic is paying $1.25 billion per month for Colossus 1's 300 megawatts. Baker's point is simple that stop tracking rocket launches, stop tracking GPU orders, model gigawatt additions. At $50 billion per gigawatt, every new gigawatt that xAI energizes over the next 12 months is a revenue event that the market has not yet priced in. But this is not just an xAI story but rather why neocloud stocks are one of the most mispriced assets in the entire AI stack. Neoclouds charge $17 to $25 billion per gigawatt in contract value, a dramatic discount to xAI's pricing, but still an extraordinary business model when the underlying infrastructure costs $9 to $12 million per megawatt to operate and customers are signing 5-year locked contracts. H100 GPU-hours from neoclouds like Nebius at $2.95 per GPU-hour are 66% cheaper than hyperscaler rates, which is the structural reason enterprise AI teams are shifting spend to neoclouds at an accelerating pace. The neocloud market is projected to grow 69% annually through 2030 to reach nearly $180 billion and right now only a handful of public companies offer direct exposure to it. Nebius is the standout among the publicly traded neoclouds. It reported Q1 2026 AI cloud revenue of $399 million, an 841% increase year over year beating estimates, with its CEO stating that demand continues to exceed available capacity and customers are actively being turned away. Nebius commands a 20 to 25% revenue premium over peers thanks to its full-stack software offering, European sovereign positioning, and data residency advantages that physically prevent hyperscalers from competing for a large portion of its customer base. It has $49 billion in contracted backlog with Meta, Microsoft, and Nvidia meaning its revenue trajectory for the next three to five years is not a forecast, it is a schedule. The competitive moat is in power, permits, and speed exactly what xAI has proven is the true bottleneck. Jensen Huang said publicly that xAI deploys data centers faster than anyone else in the ecosystem, and Baker called out that this deployment speed advantage directly translates to monetization speed, every week of earlier energization at these pricing levels is worth hundreds of millions in revenue. Neoclouds with secured power, permits, and long-term customer contracts are not in a fair race against companies still waiting on grid connections and zoning approvals. The companies with the most locked in gigawatts coming online in 2026 and 2027 are about to have very good years.

Milk Road AI

74,945 Aufrufe • vor 3 Monaten

Today we're launching Spellbook's biggest thing yet: Autonomous Contract Management It’s the first end-to-end AI infrastructure for contracts The world is speeding up. We are in one of the biggest investment cycles in decades. Behind every rocket launch, FIFA game, and datacenter, lies a web of hundreds of agreements. Agreements are the invisible threads that allow us to work together. We have infrastructure for finance (Stripe, Ramp), eCommerce (Shopify) and many business functions. But agreement infrastructure is lacking. This creates a painful bottleneck on our ability to work together. Online purchases take milliseconds. But agreements still take weeks. CLMs were supposed to be the answer, but were designed in a pre-AI era. AI fundamentally changed how computers can accelerate agreements. Spellbook is the most used AI contract review tool in the world, with ~5,000 customers in 80 countries Now we are expanding to deliver the first end-to-end, AI native stack for contracts. From the moment a deal lands in your inbox, to the day it renews years later, Spellbook’s AI supports teams every step of the way, across all business teams. It runs 24/7. While you sleep, it's reading the deals that came in overnight, flagging the parts that actually need a lawyer, and clearing the busywork that used to kill mornings. Nothing gets handed off between systems or slips after signature, and the intelligence stays with you for the life of the contract. AI for lawyers is great. There are 20 million lawyers in the world, and many are our users. But there are billions who touch contracts. We're excited to help everyone move faster and do more of what they love, by building the best AI-powered contract infrastructure in the world. Get early access:
1:13

Today we're launching Spellbook's biggest thing yet: Autonomous Contract Management It’s the first end-to-end AI infrastructure for contracts The world is speeding up. We are in one of the biggest investment cycles in decades. Behind every rocket launch, FIFA game, and datacenter, lies a web of hundreds of agreements. Agreements are the invisible threads that allow us to work together. We have infrastructure for finance (Stripe, Ramp), eCommerce (Shopify) and many business functions. But agreement infrastructure is lacking. This creates a painful bottleneck on our ability to work together. Online purchases take milliseconds. But agreements still take weeks. CLMs were supposed to be the answer, but were designed in a pre-AI era. AI fundamentally changed how computers can accelerate agreements. Spellbook is the most used AI contract review tool in the world, with ~5,000 customers in 80 countries Now we are expanding to deliver the first end-to-end, AI native stack for contracts. From the moment a deal lands in your inbox, to the day it renews years later, Spellbook’s AI supports teams every step of the way, across all business teams. It runs 24/7. While you sleep, it's reading the deals that came in overnight, flagging the parts that actually need a lawyer, and clearing the busywork that used to kill mornings. Nothing gets handed off between systems or slips after signature, and the intelligence stays with you for the life of the contract. AI for lawyers is great. There are 20 million lawyers in the world, and many are our users. But there are billions who touch contracts. We're excited to help everyone move faster and do more of what they love, by building the best AI-powered contract infrastructure in the world. Get early access:

Scott Stevenson

80,597 Aufrufe • vor 2 Monaten

AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.
1:17

AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.

brryant

1,028,527 Aufrufe • vor 3 Monaten

It’s day 1905 at Ramp. Today, I’m thrilled to announce the launch of Ramp Travel, a new solution designed to make booking travel and managing travel expenses more intuitive, low-cost, and streamlined. Today, 1 in 5 (20%) dollars spent on Ramp cards go towards flights, hotels, and other trip-related entertainment - double the 10% of just a few years ago. Companies are hungry for travel as a means of uncovering new growth, but are hamstrung by outdated, expensive tools that employees hate, or consumer booking sites that might be cheaper and easier to use, but lack controls to enforce travel policies. Either way, hours are wasted at the end each month on manual expense reports and cumbersome reconciliations. But, these tradeoffs don’t need to exist. Companies deserve total control over their travel spend without being saddled with fees. And their employees deserve a delightful booking experience without the additional work. We’re excited to deliver on this vision with Ramp Travel. Our mission has always been to help companies spend less money and time, and this launch is a significant step towards that goal. Employees can book flights and hotels directly through Ramp, with real-time visibility into what’s in-policy and dynamically adjusted rates based on travel destinations. On the trip, Ramp AI handles the rest. On the ground, the quality of life improvement for employees is substantial. Receipts are automatically assigned to trips, and all expenses are seamlessly integrated into our platform. Put more simply, on other platforms, you have to do your expenses as you go (or 1-3 months later); on Ramp, your expenses do themselves. As the saying goes, “your margin is our opportunity.” We are not a travel company and aren’t in this to take price, we’re a savings company and are in this to deliver value, control, and a better experience. Our new partnership with priceline allows us to offer our customers access to a global selection of inventory from major airline partners and hotel affiliates at competitive rates, while maintaining the high level of control and visibility that Ramp is known for. Rather than ratcheting up the price through hidden fees, all savings are passed directly to our customers. We’re excited to see how Ramp Travel helps businesses streamline their travel processes, save money, and enhance the overall travel experience for their employees. As always, we love feedback, so try it out and let us know what you think.
1:43

It’s day 1905 at Ramp. Today, I’m thrilled to announce the launch of Ramp Travel, a new solution designed to make booking travel and managing travel expenses more intuitive, low-cost, and streamlined. Today, 1 in 5 (20%) dollars spent on Ramp cards go towards flights, hotels, and other trip-related entertainment - double the 10% of just a few years ago. Companies are hungry for travel as a means of uncovering new growth, but are hamstrung by outdated, expensive tools that employees hate, or consumer booking sites that might be cheaper and easier to use, but lack controls to enforce travel policies. Either way, hours are wasted at the end each month on manual expense reports and cumbersome reconciliations. But, these tradeoffs don’t need to exist. Companies deserve total control over their travel spend without being saddled with fees. And their employees deserve a delightful booking experience without the additional work. We’re excited to deliver on this vision with Ramp Travel. Our mission has always been to help companies spend less money and time, and this launch is a significant step towards that goal. Employees can book flights and hotels directly through Ramp, with real-time visibility into what’s in-policy and dynamically adjusted rates based on travel destinations. On the trip, Ramp AI handles the rest. On the ground, the quality of life improvement for employees is substantial. Receipts are automatically assigned to trips, and all expenses are seamlessly integrated into our platform. Put more simply, on other platforms, you have to do your expenses as you go (or 1-3 months later); on Ramp, your expenses do themselves. As the saying goes, “your margin is our opportunity.” We are not a travel company and aren’t in this to take price, we’re a savings company and are in this to deliver value, control, and a better experience. Our new partnership with priceline allows us to offer our customers access to a global selection of inventory from major airline partners and hotel affiliates at competitive rates, while maintaining the high level of control and visibility that Ramp is known for. Rather than ratcheting up the price through hidden fees, all savings are passed directly to our customers. We’re excited to see how Ramp Travel helps businesses streamline their travel processes, save money, and enhance the overall travel experience for their employees. As always, we love feedback, so try it out and let us know what you think.

Eric Glyman

337,186 Aufrufe • vor 2 Jahren

Renee Good’s brothers, Luke Ganger and Brent Ganger, spoke about the distress the family has felt since an Immigration and Customs Enforcement agent fatally shot the 37-year-old mother and U.S. citizen. Good’s death on Jan. 7, “in such a violent and unnecessary way, is complicated by feelings of disbelief, distress and desperation for change,” Luke told a congressional forum on Tuesday. “In the last few weeks, our family took some consolation thinking that perhaps ‘Nee’s death would bring about change in our country.” “And it has not,” he added. Brent eulogized his sister, saying she “had a way of showing up in the world that made you believe things were going to be OK, not because she ignored the hardship, but because she chose optimism anyway.” “She chose to look for what was good, what was possible, and what was worth loving,” he added. Federal immigration agents have been involved in more than a dozen shootings, some fatal, since President Donald Trump began his second term, sparking public outcry over the use of force by officers deployed as part of his immigration crackdown. Families of victims and residents of Minneapolis, where two fatal shootings occurred last month, have demanded more transparency and accountability from the government, which has tried to shut local and state law enforcement out of investigations into the deaths. The issue became a driving factor behind the partial government shutdown this week. Democrats refused to agree to a government funding deal for a handful of agencies, including the Department of Homeland Security, without reforms to ICE and U.S. Customs and Border Protection, including requiring agents to wear body cameras, refrain from obscuring their faces and obtain judicial warrants for arrests. Lawmakers approved a short-term measure Tuesday that funds DHS only through Feb. 13, while debate continues over these proposals.
9:17

Renee Good’s brothers, Luke Ganger and Brent Ganger, spoke about the distress the family has felt since an Immigration and Customs Enforcement agent fatally shot the 37-year-old mother and U.S. citizen. Good’s death on Jan. 7, “in such a violent and unnecessary way, is complicated by feelings of disbelief, distress and desperation for change,” Luke told a congressional forum on Tuesday. “In the last few weeks, our family took some consolation thinking that perhaps ‘Nee’s death would bring about change in our country.” “And it has not,” he added. Brent eulogized his sister, saying she “had a way of showing up in the world that made you believe things were going to be OK, not because she ignored the hardship, but because she chose optimism anyway.” “She chose to look for what was good, what was possible, and what was worth loving,” he added. Federal immigration agents have been involved in more than a dozen shootings, some fatal, since President Donald Trump began his second term, sparking public outcry over the use of force by officers deployed as part of his immigration crackdown. Families of victims and residents of Minneapolis, where two fatal shootings occurred last month, have demanded more transparency and accountability from the government, which has tried to shut local and state law enforcement out of investigations into the deaths. The issue became a driving factor behind the partial government shutdown this week. Democrats refused to agree to a government funding deal for a handful of agencies, including the Department of Homeland Security, without reforms to ICE and U.S. Customs and Border Protection, including requiring agents to wear body cameras, refrain from obscuring their faces and obtain judicial warrants for arrests. Lawmakers approved a short-term measure Tuesday that funds DHS only through Feb. 13, while debate continues over these proposals.

PBS News

17,168 Aufrufe • vor 7 Monaten