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ServiceTitan: Benchmarking the S1 Data

Clouded Judgement

Based on internal analysis of industry data, we estimate the customers of trades businesses, which we refer to as “end customers,” spend approximately $1.5 ”” Benchmark Data The data shown below depicts how the ServiceTitan data compares to the operating metrics of current public SaaS businesses.

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Figma - Benchmarking the S1 Data

Clouded Judgement

Here’s some additional data on their products I mentioned above (all copy / pasted from the S1) FigJam : “FigJam is our product tailored for ideation, brainstorming, and rapid communication of ideas. .” ” [ My note: Their products here are Figma Sites and Figma Buzz.]

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How 1,000+ B2B Startups Are — And Aren’t — Growing. The Real Data.

SaaStr

This isn’t your typical “here’s what public companies are doing” report – this is real data from real private companies dealing with real challenges in 2025. Learning #4: The Equity vs. Bootstrap Reality – Paying for Growth Has Hidden Costs The data reveals a fascinating paradox in B2B funding strategies.

B2B 214
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Why Data is More Valuable than Code

Tom Tunguz

In “ Data Rules Everything Around Me ,” Matt Slotnick wrote about the difference between SaaS & AI apps. A typical SaaS app has a workflow layer, a middleware/connectivity layer, & a data layer/database. AI makes writing frontends trivial, so in the three-layer cake of workflow software the data matters much more.

Data 197
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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. With the 3.0

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Will Buyers Ultimately Pay More for AI? Vendr’s Data Says … Maybe Not

SaaStr

Vendr’s latest data suggest overal l, net net, ACVs aren’t going up from AI. Vendr’s Data Says … Maybe Not appeared first on SaaStr. Salesforce is going big here with AgentForce at $2 per usage. Others are more cautious. Not yet at least: Where this will all go, I think it’s too early to know.

AI 221
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Why SaaStr’s AI is So Good: Tons of Data. Tons of Training. And Daily QA.

SaaStr

The Foundation: 18 Million Words of Training Data First, the obvious part. We launched it without any further training and QA — and with that amount of data to underpin it, it was often good. Harvey didn’t just dump data into a model and call it good. Scale AI’s Data Engine Scale AI gets this better than anyone.

AI 195
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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Contact vs. Company Intent Signal Data

Contact and company intent data both have their advantages. This infographic unpacks the advantages of both contact and company data and gives details about how B2B marketers can benefit from both. This infographic unpacks the advantages of both contact and company data and gives details about how B2B marketers can benefit from both.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. Intent data can be overwhelming if you don’t know how to use it.

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ABCs of Data Normalization for B2B Marketers

Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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Mastering Intent Data: Understanding its Importance & Best Practices

Speaker: Joe Apfelbaum, CEO of Ajax Union

In this webinar, Joe Apfelbaum, CEO of Ajax Union and business strategist, will take you through the ABCs of intent data. You'll learn how to effectively use it to drive business results, with practical tips on how to leverage both company and contact intent data to maximize your marketing efforts.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.