?? Why settle for less? See why analysts choose Daloopa over the competition in the areas that matter most. ?? Unmatched Data Depth: We capture every detail from public filings, including footnotes and transcripts, so analysts never miss a thing. ?? Complete Auditability: With Daloopa, you don’t just trust the data – you can verify it yourself, directly linked to the source. ? Flexible Data Delivery: Our hard-coded data integrates seamlessly into your models, unlike other rigid formats that slow analysts down. ?? Speed That Outpaces the Competition: While others lag behind, Daloopa updates your data in minutes, not hours, keeping analysts ahead. Ready to transform your workflow? Let’s chat and discover how Daloopa can revolutionize your analysis! https://hubs.ly/Q02Rh8S70
关于我们
Use the most complete and accurate set of public company historicals to build and update your models in your preferred method and format with Daloopa. Key data is added to your models instantly. Faster data powers faster and better insights. Are you ready to gain your edge with Daloopa? Get in touch at [email protected].
- 网站
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https://www.daloopa.com
Daloopa的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- New York，NY
- 类型
- 私人持股
地点
Daloopa员工
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Kari Litzmann
Head of Marketing | CMO | B2B SaaS Fintech Startup
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Joao da Matta
CSM | B2B Sales, Key Account Management
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Leo Kulp
Head of Finance @ Daloopa
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Vishal Sethi
Part of Growing Company - Believe in Innovation, Scalability and People!! Daloopa | Director | People Management | Business Strategy | Equity…
动态
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Tariffs, trade wars, and market chaos—if you're covering the US Auto Industry or IT hardware, you've felt it. The past week has been brutal for analysts. Some got burned, others profited, but the volatility is undeniable. Thomas Li has broken down Tesla’s China risk, GM’s 12% assets in Mexico, and Qualcomm’s true China exposure of 66%. Get the full analysis on how these companies are impacted by tariffs
Tariffs, trade wars, and market chaos. If you're covering the US Auto Industry or IT hardware, you've probably felt it firsthand. The past week has been brutal for analysts navigating the ripple effects of new tariffs. Some got burned on the wrong trades. Others made a killing. Either way, the volatility is impossible to ignore. Take Tesla: Its China sales doubled in two years—but with new tariffs in play, how much risk are they carrying? Or GM, where 12% of its long-lived assets sit in Mexico—a critical stat when assessing exposure. And then there’s Qualcomm, whose real revenue exposure to China is closer to 66%, not 46%, depending on how you measure it. We just broke down the biggest names in autos and IT hardware and their geographical exposure to these tariffs. Drop a comment if you want the report. Or just tell me—who’s getting hit the hardest, and who comes out ahead?
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CoreWeave’s S-1 filing is a glimpse into the future of AI infrastructure, But is it a high-risk, high-reward bet for investors? At Daloopa, we dove deep into the numbers behind CoreWeave’s explosive revenue growth, capital intensity, and competitive positioning. The key question: Can CoreWeave sustain its momentum in a landscape dominated by hyperscalers like AWS, Azure, and Google Cloud? As AI-driven computing demand accelerates, financial analysts and investors need clear, data-backed insights to assess market opportunities. Read our deep dive into CoreWeave’s financials and future outlook here: https://hubs.ly/Q039Lclg0 Interested in uncovering CoreWeave's insights from their S-1 filing? Download the datasheet here: https://hubs.ly/Q039LqYv0
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CoreWeave’s IPO filing is fresh off the press, and Daloopa already has the key insights. We’ve structured CoreWeave’s key financials so you don’t have to waste time manually extracting data. Just download the sheet and get instant insights such as: ?? Revenue breakdowns ?? Customer concentrations ?? Debt obligation The edge goes to those who move first. Get info on CoreWeave's S-1 all in one place with Daloopa: https://hubs.ly/Q039j0Nd0
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The market moves fast. Are your models keeping up? Earnings reports are in. Now comes the real challenge—figuring out what’s next. With Daloopa, you can model multiple post-earnings scenarios in minutes, testing outcomes based on updated data like revised guidance, cost pressures, or macroeconomic shifts. Stop scrambling to gather numbers—let Daloopa do the heavy lifting so you can focus on smarter portfolio decisions. Try it for free today by signing up for a free account (link in the comments ??)
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Daloopa outperforms OpenAI models by 25%—faster, more accurate, and built for extracting the most complex financial data. ??
Another benchmarking day. This time we are benching our internal model (Daloopa_gamma) on a tagging task v OpenAI_4o and OpenAI_o3-mini. Daloopa (Blue bar) outperforms 4o and o3 by around 25%. Marginal difference between 4o and o3. Other observations: 1. The more nuanced and complex the data release, the larger difference between our ability to extract data v general OAI models. Our ability to extract "revenue" is similar but we can simply get "constant currency same store sales growth" and OAI models basically can't. 2. The benchmark run on our model took about an evening. The same benchmark test run on OAI models took several days. We see similar loads - the more intensely complex the document, the larger the difference between what we do and what OAI can do. Essentially, highly focused models are much much cheaper to build, run faster, and have better performance. It's like race cars, turns out highly purpose built F1 race cars are much faster than regular sports cars. Can't be as versatile, but when customers look to performance and accuracy, they don't often care about versatility. Key Constrains: Daloopa gamma is a data first model, not language/words first. What is the benchmark test: Using 100 public companies, collect 10 years worth of complicated disclosures in tabular format, focusing on operating data, KPI and other company specific disclosures (as opposed to financial data like revenue and net income)
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?? Post-Earnings = Crunch Time. Are you still Manually updating your models? The Morgan Stanley TMT Conference (March 4-6) is where top analysts get the inside scoop from management teams. But if you’re still digging through filings and transcripts manually, you’re already behind. ?? Daloopa gives you instant access to financials, KPIs, and guidance history for every company presenting—so you can walk into meetings armed with the right insights. ? Update your models in seconds, not hours, while others are still scrambling with spreadsheets. ?? Focus on strategy, not data entry. The best analysts do. If you’re serious about getting an edge, it’s time to use Daloopa. Try it free today. ?? #TMTConference #FinancialModeling #BuySide #InvestmentResearch #Daloopa
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Earnings season is almost behind us. Now comes the real work - digging deeper into insights, refining your models, and making sense of what’s next. If you're heading to the Evercore ISI Industrial Conference, you know the drill: ?? Back-to-back meetings with management teams. ?? Parsing through earnings transcripts to track shifts in guidance. ?? Pressure to update your models before your next investment move. But let’s be real. How much of that time is spent scrambling through spreadsheets instead of having meaningful conversations? This is where Daloopa changes the game. ?? ? Instantly pull financials, KPIs, and guidance history for any public company presenting at the conference. ? Spot key trends and competitive shifts—before you walk into that 1:1 meeting. ? Update your models in seconds, so you can focus on what really matters—building relationships and deploying your strategy. In an industry where speed and accuracy drive returns, why waste hours on manual work? The smartest analysts are already using Daloopa’s AI-driven financial modeling to stay ahead, ask sharper questions, and make better decisions—faster. ? Don’t fall behind. Sign up for a free account today with our link in the comments and see the difference. ??
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Finding the right companies that are quietly outperforming their competition isn’t easy. But what if you had an edge? ?? AppLovin has skyrocketed by 700%, hitting a $150B market cap. Is it a sustainable powerhouse in mobile advertising, or is the hype outpacing reality? In our latest blog, we break down the bull case and bear case for AppLovin, giving you the insights you need to decide if it's a hidden gem or an overvalued risk. ?? Read our latest blog now and get the inside scoop before the market catches on: https://hubs.ly/Q038pkqL0 Ready to deep dive into AppLovin's latest datasheet? Set up your free account with Daloopa today ?? https://hubs.ly/Q038p8G20
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?? Are you ready for this week's earnings releases? ?? Stay ahead of the curve with instant access to the latest data on these top companies: 1?? AMC 2?? Nvidia 3?? Berkshire Hathaway 4?? Costco Don’t let manual research hold you back—Daloopa has you covered! Set up a free account today and download the latest financial data to make smarter decisions, faster. ?? Link to create your free account is in the comments!