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GitHub, founded in 2008, is a leading platform for software development and version control that has made waves since 2018 with its AI Copilot. At this year’s SaaStr AI Summit, GitHub CRO Elizabeth Pemmerl shared how to bring AI products to market at scale successfully. Deciding where you don’t want to spend your time.
So it’s become a thing with many founders and VCs to think how far you can go in AI today. Many of the early break out leaders in AI for B2B and otherwise have been “small but mighty teams” Honestly we’d all love it if that scaled. So that 30 person, $100m ARR AI B2B start-up? Much faster.
Data from Stripe (below) shows the speed at which AI native companies are growing compared to SaaS companies. Starting and scaling a software company was really hard. Starting and scaling a software company was really hard. If you wanted to scale users and growth, you needed to scale a physical data infrastructure footprint.
Along with co-host Ben Salzman, Jason and Henry discuss the transformative power of AI within SaaS and the evolving dynamics that are reshaping the landscape of software as a service. ” What Will AI Change in Go-to-Market “It will lead to a next level of transparency for leadership,” Jason answers.
For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.
At SaaStr Annual’s AI Summit, we asked product leaders from some of the fastest-growing SaaS companies to share their insights on navigating the AI revolution while scaling multi-product strategies. As Hubert Palan, CEO at Productboard emphasized, “Don’t confuse AI-first with AI-only.
So we’ve rolled out an AI which is pretty epic. It’s live on SaaStr.com itself and you can also access it here and talk to AI Jason about any of 1000s and 1000s of B2B, sales, SaaS, VC, etc. topics: I asked AI Jason what the Top 10 SaaStr posts of all times are. ” Good choices, AI Jason!
Ironclad CEO and co-founder Jason Boehmig joined Seema Amble, Partner at Andreessen Horowitz at SaaStr Annual to share their observations on what’s currently working and what’s not quite there yet for Artificial Intelligence (AI) in SaaS. What’s Currently Working in AI for SaaS 1.
Dialpad’s Top Learnings Building Its Own AI Stack When it comes to AI implementation in SaaS, most companies are still figuring out whether to build or buy. But Dialpad has been quietly building their AI advantage for over 7 years, processing more than 8 billion minutes of conversations and hitting $300M ARR along the way.
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). And for those who are already underway, scaling their results across their organizations is completely uncharted waters. Why do AI-driven organizations need it? Download this comprehensive guide to learn: What is MLOps?
After just a month of launching our own SaaStr AI (trained on a decade of content and hundreds of founders, speakers, and events), we’ve already had over 34,000 (!) conversations with our AI in just the first 30 days. With SaaStr AI, we’ve had almost 35,000 founder conversations in less than 30 days. But the reality?
Should we care about AI infrastructure when building SaaS applications? Weinstein, and Managing Partner at Bain Capital Ventures, Aaref Hilaly, take the stage at SaaStr Annual to answer this question, plus what to expect with the future of AI. AI products will ultimately look and feel radically different from products today.
Samsara was intentionally multi-product from the earliest days, and they carefully planned out scaling 5+ products to $100M+ ARR. Kiren Sekar, Chief Strategy Officer and founding team member at Samsara, came to SaaStr Annual to do one of our best deep dives even on going multi-product.
5 Key Learnings from Scaling from 3 to 75 Go-To-Market Team Members in Less Than 12 Months The latest SaaStr CRO Confidential is out and Sam Blond did a great deep dive with Graham Mareno, VP of Worldwide Sales at Codeium. The 5 Key Elements of Codeium’s GTM Scaling Playbook 1. What is Codeium and Windsurf?
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Maintenance & Scaling 🚀 Follow best practices for ongoing updates and maintenance of LLMs post-deployment, and develop strategic approaches to scale your product to a broader customer base. Save your seat today! September 24th, 2024 at 11:00 AM PDT, 2:00 PM EDT, 7:00 PM BST
Cutting Through the Noise: Three Gen AI Pioneers Reshaping Enterprise Technology In a pivotal moment for generative AI, Vanessa Larco, partner at NEA, brought together three visionary CEOs convened at SaaStr Annual to share insights that are redefining the technological landscape.
Thread AI’s founder and Palantir alum Maya Gonimah has cracked the code on enterprise AI implementation through their strategic partnership with Google Cloud. Here’s the AI playbook that’s actually working in production today. Trying to create entirely new AI-centric workflows.
Navigating the AI Transformation Journey Calendly is taking a comprehensive approach to AI implementation across its entire customer experience – not just within the product itself. ” Bios: Steven Shu, Chief Product Officer at Calendly Steven brings over 8 years of AI expertise to Calendly. .”
AI is The Accelerant. #3. The Problem with Small But Mighty AI Start-Ups #5. The Top 10 Learnings from Launching SaaStrs Own AI: What Every B2B Founder Needs to Know Top Pods & Vids: #1. Sales in the AI Era From the Top CROs with Sam Blond + Jason Lemkin #2. The RevOps Playbook: Owner.com CROs Secrets to Scaling #4.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.
AI though is the tailwind. It’s given Asana a boost, albeit it’s still early for AI at Asana. This isn’t unqiue to Asana, it’s true of many SaaS leaders at scale, from Zoom to Shopify. SaaS that sells to B2B companies, and SaaS that sells to the Rest of the World. The latter? 150,000 Total Customers.
IBM’s $7B Bet on Vertical AI and What It Means for SaaS Founders. What’s emerging is a new paradigm: Vertical AI, where foundation models are specialized for specific industries and use cases. The WatsonX Platform Deep Dive What’s Actually Different Here WatsonX isn’t just another AI platform.
So we’ll have ~20 of the latest AI start-ups from YCombinator at a special YC Demo Pod area at 2025 SaaStr Annual! Come meet them (and also watch 100+ present live at our first AI Demo Stage ) at 2025 SaaStr Annual, May 13-15 in SF Bay!! 3) Generate high-quality training data that continuously improves AI performance.
At SaaStr’s AI Summit during the SaaStr Annual , René chatted with SaaStr CEO and founder Jason Lemkin about how BILL has reached half a million customers and $1.3B SMB Unit Economics: Why Is 6 Quarters the Right Target for SMBs at Scale? Real TAM vs. VC Tam: How Do You Think About it at Scale? in revenue.
How will generative AI transform sales? And if you’re not leveraging AI solutions in your go-to-market motions, you’re already behind. In this eBook, we’ll cover: How today’s top sales leaders are incorporating AI into their go-to-market motions.
The Next Big Thing in AI Compliance: What ISO 42001 Means for Your SaaS Company The Cold Hard Truth About AI Risk in SaaS Picture this: Your product team’s AI chatbot gets breached. Why ISO 42001 Actually Matters (Like, Really Matters) Here’s the deal: AI isn’t just another feature anymore. No protocol.
22% free-cash margins, and now GAAP profitable Customer count up 41% year-over-year It’s the bright, AI-driven future folks are excited about. Growth Has Re-Accelerated Fueled by commercial and government contracts, and by AI-related demand in both, Palantir is seeing growth re-accelerate from 2023. Let’s dig in.
Quality Management is Their Biggest AI Play at the Moment This makes sense. Using AI to understand the efficacy of contact center agents is a big use case. #4. A reminder to not stay too reliant on direct sales as you scale. Working Hard to Add $100m ARR From New Products It’s early here, though. of revenue in 2021 to 15.7%
And what you can see is there is really almost no liquidity for startups and scale-ups in SaaS and Cloud at the moment. Now, to some extent, the issues here have been masked by several factors: The VC engine continues, more or less, and has been re-energized by AI. Just less so for start-ups and scale-ups. Epic times.
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.
The support space has been turned upside down by AI, with as much as 40% of all support issues now handled by AI at many leaders. 50% Attach Rates for AI In $30k+ Deals, But Much Lower for SMBs This is also what I’ve seen in the contact center. It’s one of the fastest-changing spaces in B2B. 47% of revenue in U.S.,
Joselyn Goldfein , Managing Director at Zeta Venture Partners, which invests in AI and data infrastructure-focused startups from inception through seed stage And see everyone at 2025 SaaStr Annual, May 13-15 in SF Bay!! What VCs Are Funding in AI Today The AI funding landscape has evolved rapidly in 2023-2024.
So Cloud and SaaS have had a bit of a rollercoaster the past 4 years, from the boom times of 2020-2021, to the tougher times overall of 2023, to the AI boom of 2024+. Cloudflare is what 20x ARR looks like at scale, post-IPO. But one thing has done well through all of it: security. We always need it, and the threats keep coming.
4: HubSpot Co-Founder and Chairman Brian Halligan on AI and SaaS, Board Meetings, and The Incumbent Advantage #5: Most SaaS Apps Are Just Getting Starting With AI. But in 2025, Step Up or Step Aside. #4: 2025 Will Be Radically Different.
Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn
In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.
But how did they scale so quickly? SEO: How Rupa Health Dominated Search with Programmatic SEO and AI Rupa Health invested heavily in search, aiming to own the top spots for specific lab tests and biomarkers. Rupa achieved this by combining AI with a small army of medical doctors and editors.
I know many are talking about AI fueling 1 person, $1B start-ups. So thats probably as efficient as you can get outside of AI magic. Assume 1 per $1m in ARR, youll need to scale a team of 5 at least to get to $10m in ARR. And reps take time to scale. And youll need a real QA team as you scale. I hope that happens.
Dear SaaStr: Should I Buy a Great “ com” At a Crazy Price or Just Stick What the “ ai” We Already Have? It was the right name for the company to scale and change an industry. But if youre scaling, have a growing customer base, or are aiming for a broader market, the.com can matter a lot. domain is fine.
At this year’s SaaStr Annual AI Summit, Akshay Sharma, Head of Pricing and Monetization at Miro , chats with a panel of experts, including Janie Lee, Head of Product at Loom , Alison Harmon, Head of Growth at OpenAI , and Carsten Holm, VP of Pricing and Monetization at Splunk, about their nuanced approach to pricing and monetization.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. May 20th, 2025 at 12:30 PM PDT, 3:30 PM EDT, 8:30 PM BST
A self-reinforcing flywheel where successful customers: Get promoted Tell their network Become champions Drive organic growth 3. Solve Hard Technical Problems Create multiple moats Patent protection Technical innovation Market leadership 2.
So we’ve all watched the mega VC rounds for OpenAI, Databricks, Anthropic etc as VCs deploy billions into the AI winners at scale. Massive investments, at massive valuations, into the biggest leaders of AI. At a scale we haven’t seen before. Far more than ever, per Redpoint’s latest data.
It’s 50% about the intersection of AI + B2B, 50% about GTM in 2025+, and … 50% about helping you meet the best of the best! With a New, AI Demo Stage from 100+ Top AI Start-Ups! AI is transforming SaaS, and were dedicating two massive stages to the SaaStr.AI The SaaStr.AI Summit Is Back and Bigger.
The Problem with Small But Mighty AI Start-Ups #2. Built a Bottom-Up AI SaaS Without a Single Sales Rep #5. The Top 10 Learnings from Launching SaaStrs Own AI: What Every B2B Founder Needs to Kno w Top Vids + Pods: #1. LIVE: Top 10 Things We Learned from the New SaaStr AI with Jason Lemkin + Assistant UI #3.
Zuora and BCG’s latest report uncovers how hybrid pricing models—combining subscription and consumption (usage)—are fueling faster growth, especially in AI-driven sectors. Discover how industry leaders are outperforming their competition by diversifying revenue streams and adopting cutting-edge infrastructure and billing systems.
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