Clouded Judgement

JULY 16, 2024

Our platform unifies core financial and broader operational data and processes within a single platform, with solutions that maintain the integrity of corporate reporting standards for Finance while providing operationally significant insights for business users.

Benchmarks 295

Benchmarks Data Machine Learning Artificial Intelligence 295

SaaStr

MARCH 24, 2025

Some fun facts: 10+ years of SaaStr conference attendance Partner at Point Nine Capital, a leading early-stage VC firm Geographic reach: Actively investing across Europe, US, and Australia Notable portfolio: Zendesk, Algolia, Contentful, Loom (and many more) Known for his “five ways to build a $100M business” framework The 5 Key Things (..)

Data 147

Data Acquisition AI Finance 147

SaaStr

JULY 21, 2024

Organic Search remains our #1 source of SaaStr readers for 13 years straight: But, I can also tell you what our data says. Our Data Says “Yes But” appeared first on SaaStr. That’s a gift. At a high level, as big a gift in 2024 as 2011. Which is that we have literally 100x more quality content than 2011-2014.

Data 307

Data Social Media Content Marketing Engineering 307

Tom Tunguz

OCTOBER 28, 2024

On Monday, at TC Disrupt Colin Zima CEO of Omni , Jordan Tigani CEO of Motherduck , Daniel Svnova CEO of Superlinked & Toby Mao CTO of Tobiko Data who are leading the evolution of the Post Modern Data Stack discussed the trends they are seeing. Most data workloads are quite small, about 100MB. Vectors power AI systems.

Trends 248

Trends Data New CTO CTO 248

SaaStr

DECEMBER 27, 2024

.’ The twist this time is the data is very hard for startups to acquire or accumulate. So it’s not just the innovation piece, but you need a proprietary data set to do something more meaningful with AI. Brian believes incumbent players like HubSpot and Salesforce have some key advantages: 1.

AI 291

AI Marketing SaaS Interviewing 291

SaaStr

DECEMBER 5, 2024

So it’s interesting how folks craft headlines from data. Carta release its latest funding data the other data for 2024 Year-To-Date here : What you can see is that large, hot AI later stage deals overall are indeed driving venture capital deployments up ~ +17% the year. But that’s for late-stage capital.

Venture Capital 307

Venture Capital AI Data 307

SaaStr

OCTOBER 30, 2024

They recently did an Analyst day though that had some more great data that I thought was super interesting, and worth a deep dive. Starter Customers More Important Than Ever, Now 47% of Customer Base This data is super interesting, and a challenge to some conventional thinking in terms of how to go upmarket. But helpful to see.

SMB 317

SMB CTO Onboarding Scale 317

SaaStr

DECEMBER 26, 2024

The findings arent much different from what weve discussed before at SaaStr, but still very helpful to see, given how much data they are pulling from: On average, $100k deals take about 70 days to close. That ties to our overall rough sales cycle data here: Dear SaaStr: What’s a Good Benchmark for B2B Sales Cycles?

Scale 291

Scale Benchmarks B2B Enterprise 291

SaaStr

FEBRUARY 7, 2025

Consider a hybrid approach : You can start with third-party APIs while building your data foundation, then gradually move to custom solutions as you scale. Domain Data Is Your Secret Weapon Dialpad’s massive advantage comes from their 8 billion minutes of processed conversations.

AI 268

AI Scale Government compliance 268

SaaStr

JANUARY 2, 2025

But as Brian Halligan, chairman of HubSpot put it, the downturn where there was one, ended in Q3’24: And as one small data point, that’s what we are seeing in early SaaStr Annual attendance data as well: Overall early 2025 attendance is up +156% of 2024 December 2025 ticket sales were +181% of 2024.

AI 290

AI SaaS Data Sales 290

SaaStr

FEBRUARY 7, 2025

to send 35B+ messages, there’s enough data to show what actually works. 5 Non-Obvious Learnings from Customer.io’s Platform Data 1. These focused groups saw 3x higher engagement rates and provided cleaner data for optimization. Quick Reality Check: 84% of customers now expect personalized experiences. The Customer.io

Scale 277

Scale SaaS B2B Scaling 277

SaaStr

APRIL 5, 2025

Here are the five channels that worked for Rupa: Search Engine Optimization (SEO) Social Proof and Trust Building Educational Partnerships and Rupa University Conferences and Event Sponsorships Outbound Sales and Data Quality Lets dive into each. Pro Tip: Outbound sales rely on data quality.

Scale 233

Scale AI Search Sales Hiring Acquisition 233

SaaStr

JANUARY 1, 2025

It’s also data that suggests that for those that have seen a downturn, the bottom is behind us. So it was fun and perhaps not surprising to see the latest SaaStr poll data. It’s not just AI, although that’s part of it. Holy cow are some top SaaS stocks on a run.

Scale 289

Scale AI B2B Scaling 289

SaaStr

NOVEMBER 7, 2024

It starts with silicon chips, GPU, and data centers. After that, you have infrastructure around the models, helping you pick the right models or managing the data to be fed into the models. Previously, we had enough data centers to power a lot of CPU computing needs. Then, there are models like GPT4 and Claude from Anthropic.

AI 265

AI Artificial Intelligence ChatGPT Mobile 265

SaaStr

NOVEMBER 12, 2024

There’s a lot of great data in the report, but one analysis helped answered a question I’ve been wondering the past 12-18 months: Are start-up actually more overvalued today than at the peak of Cloud mania in 2021? So Battery Ventures has a new detailed report on The Open Cloud you can dig into here. in 2021 to 23.4x

Startup 300

Startup AI Cloud Mobile 300

SaaStr

JANUARY 8, 2025

Improving Rev Ops for Data-Driven Decision Making One of Lindsey’s first priorities was diving deep into the company’s existing data to identify trends and leverage these findings for growth. Lindsey found a way to track this data, then brought it into every meeting. Better RevOps uncovered excessive discounting.

Revenue 300

Revenue Scale Sales Hiring Compensation 300

SaaStr

APRIL 6, 2025

4 Unexpected Learnings from Databricks’ Sales Growth Machine Calendar scraping reveals top performers spend disproportionate time on new prospects – Databricks uses calendar data to track how their best AEs allocate time, discovering that overachievers focus on prospect development over existing accounts.

Scale 208

Scale Sales Hiring Sales Outsourced Development 208

SaaStr

FEBRUARY 8, 2025

The Three Types of Context Your AI Needs Your AI agent needs access to: Team documents & engineering specs (the “how it works” knowledge) Systems of record like CRM (the structured data) Unstructured info from Slack, Zoom, etc. the tribal knowledge) Without all three, you’re flying blind.

AI 249

AI Artificial Intelligence SaaS User Experience 249

SaaStr

MARCH 16, 2025

” – Alex Rosenblatt The Channel-First Approach That Actually Works Instead of the everything-at-once approach, Rosenblatt advocates for a methodical, data-driven methodology: 1. . “When companies try to do a little bit of everything in marketing, it becomes nearly impossible to become amazing at any single thing.”

Scale 249

Scale Sales Hiring Scaling Marketing 249

SaaStr

NOVEMBER 18, 2024

More on that data here. Canva, Stripe, Databricks, ServiceTitan, Gusto, Wiz should all have epic IPOs in 2025 or maybe 2026. But one thing is clear: it’s taking longer to IPO: It used to take 10.4 years on average to IPO in SaaS. The last 3 SaaS IPOs took 11.3 years Now look, who knows. These aren’t the only IPO candidates.

Cloud 320

Cloud SaaS Data 320

SaaStr

OCTOBER 25, 2024

A few data points: At $800m ARR, Qualtrics was still getting 25% of revenue from professional services. Dear SaaStr: How Much Should a SaaS Company Invest in Professional Services? A rough yardstick is that most enterprise-focused SaaS companies tend to get about 8%-10% of their revenues from professional services.

Investment 305

Investment SaaS SMB Enterprise 305

SaaStr

DECEMBER 21, 2024

Per Carta’s latest data, only 18% of tech sales execs are women, and 26% of reps overall: I’m slightly heartened that overall it’s at 26% women outside of the executive suite. So have we made any real progress in diversity in SaaS the past 5 years? The past 10? In some ways, for sure yes. A long way.

Sales 300

Sales SaaS Data 300

SaaStr

APRIL 7, 2025

Voice vs. Text: The Data May Surprise You Despite all the hype about voice being the future, our data shows a different story. And the amount of data needed for good AI is decreasing as models improve, which means you might face 10X more competitors than last year. Different use cases demand different modalities.

AI 219

AI B2B ChatGPT Scale 219

SaaStr

OCTOBER 25, 2024

However, when Theory layered in the actual data to see how much more efficient they were year-over-year, the numbers were between -4% and 4%. There is a dominant belief that AI makes processes more efficient, but this belief has not yet been confirmed by the data. #8:

Venture Capital 334

Venture Capital Marketing AI SaaS 334

SaaStr

FEBRUARY 2, 2025

Rather than committing to single solutions, successful companies are: Testing multiple AI models continuously Using self-served platforms for rapid experimentation Empowering engineers to make model-selection decisions Avoiding long-term vendor lock-in Data Management Data quality and integration have emerged as critical factors in successful AI implementation. (..)

AI 228

AI Technical Review Artificial Intelligence Systems Review 228

Clouded Judgement

MARCH 28, 2025

Data from Stripe (below) shows the speed at which AI native companies are growing compared to SaaS companies. If you wanted to scale users and growth, you needed to scale a physical data infrastructure footprint. If we look at the NetSuite S-1 (filed in 2007) they said this: “We use a single data center to deliver our services.

Cloud 299

Cloud AI Scale Scaling 299

SaaStr

DECEMBER 11, 2024

MailChimp) Document search and analysis Form filling and data entry This is particularly impactful in vertical SaaS, where industry-specific manual processes can be automated to reduce staffing needs while maintaining quality. Success stories include: Transcription and note-taking (e.g., Zoom summaries) Email copy generation (e.g.,

AI Search 291

AI Search AI Artificial Intelligence B2B 291

SaaStr

FEBRUARY 5, 2025

Enterprise data is the differentiator: While public data dominates foundation models, enterprise-specific data represents less than 1% but delivers exponentially more value when properly leveraged. cost savings, 35% time savings The Partner Ecosystem Play IBM isn’t going it alone.

AI 192

AI Scale SaaS Government 192

SaaStr

JANUARY 12, 2025

. #4: What Really Works When Hiring VPs, and How M&A Really Works, with HubSpot Co-Founder and Chair Brian Halligan + Jason Lemkin #5: Whats Better, X/Twitter or LinkedIn?

Sales Hiring 286

Sales Hiring Scale Scaling Revenue 286

SaaStr

MARCH 9, 2025

Data quality requirements User experience impact 4. Data Architecture Makes or Breaks AI Success The unsexy truth? Your AI is only as good as your data infrastructure. This underscored the importance of a unified data architecture and comprehensive training approach. Cost structure (can we sustainably deliver this?)

AI 208

AI Scale Education User Experience 208