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As a software company committed to your customers, you want to do everything you can to set them up for success. For many of your customers, success begins and ends with a seamless checkout experience, and one of the biggest sources of friction is false declines. Here are a few industry statistics from PYMNTS Intelligence to demonstrate what we mean. 11% of digital transactions in the US are falsely declined. 70% of falsely declined transactions are difficult to recover. 60% of merchants (your s
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In an era when executives are bombarded with tech buzzwords, it’s vital to focus on real-world AI uses that deliver business impact. Imagine having an army of 10,000 super-smart workers willing to do your bidding 24/7 for free. This vivid idea captures AIs potential to act as assistants and insights machines, boosting efficiency and innovation.
We’ve already seen something happen in support. You can’t automate 100% of support with AI yet. At least, not reliably. But you can automate 30%-40% of support for real … with top 10% CSAT. So what does that mean for inside sales? Probably something similar by 2026. A 50/50 Sales Team. 50% of your team are humans. 50% are AI. At least for SMB and more routine mid-market sales.
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 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Its tempting to say yes to everything, but if you want to build a business people refer to, doing everything is how you get forgotten. The post Give the People What They Ask For with Walt Maclay appeared first on Predictable Revenue.
Pricing changes are hard. Fundamental shifts in go-to-market strategy tied to pricing? Monumentally difficult. We recently dove deep into one such transformation with Barr Moses, CEO of Monte Carlo, during a Theory Ventures Office Hours. Monte Carlo, a data & AI observability pioneer, moved from traditional annual contracts to a daily revenue model.
Pricing changes are hard. Fundamental shifts in go-to-market strategy tied to pricing? Monumentally difficult. We recently dove deep into one such transformation with Barr Moses, CEO of Monte Carlo, during a Theory Ventures Office Hours. Monte Carlo, a data & AI observability pioneer, moved from traditional annual contracts to a daily revenue model.
Is informational content still worth it in the age of AI Overviews? Discover how to rethink informational content to drive value, trust, and product impact.
Some SaaS trends simmer; others ignite. Then there’s AI, in a category all of its own. This year, SaaS Capital’s industry-leading B2B Benchmarking Survey covered AI adoption and outcomes for the first time and the results are unequivocal: AI is no longer optional in SaaS. What started as an experimental tool has quickly become a defining lever of efficiency, productivity, and now profitability.
Were excited to bring AI-based enrichment to every ChartMogul customer, across both CRM and Subscription Analytics. Late last year, we quietly rolled out an AI-powered enrichment feature to a small group of customers. What began as an internal tool to enhance our own customer data quickly evolved into something much more impactful. Thanks to valuable … Were excited to bring AI-based enrichment to every ChartMogul customer, across both CRM and Subscription Analytics.
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Top 10 Strategies Toasts CRO Uses to Crush Sales Quotas So a little while ago Toasts CRO Jonathan Vassil joined Sam Blond on SaaStr CRO Confidential on how Toast built one of the strongest but toughest rocketship in sales: a lower gross margin, lower ACV ($10k), sales-led SMB sales motion. 5 Interesting Learnings from Toast at $1.1 Billion in ARR The company now serves approximately 85,000 customers and 140,000 locations using Toast across the US, Canada, and the UK, and has reached over a billi
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This is a guide on building an AI agent with frontegg’s entitlements will walk you through setting up an AI agent, tools, features and feature flags (as an example of entitlements usage), and auth. This guide builds off of the sample app whose code is available publicly in a GitHub repo This guide shows the power of leveraging Frontegg’s Identity and Access Management and AI SDK for better security and user experience.
A few weeks ago, I started using ChatGPT as a to-do list app. I just dump everything thats on my mind into it, very raw, usually in voice mode. ChatGPT organizes these inputs into tasks, removes completed ones, and suggests next steps. When I want to get an overview, I simply ask, and ChatGPT returns an organized list of recently finished tasks and pending tasks grouped by priority.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
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So SVB still is the #1 bank for tech companies in Silicon Valley and they have a ton of data. Their latest 1H’25 report has some interesting learnings: Does it seem like YC and other top incubators and accelerators have taken over the start-up world? They have 24% of all U.S. VC deals now come from accelerators and incubators — and that's going way up.
Picture this youre drafting an email and your software suggests the next sentence with uncanny accuracy, or youre chatting with a customer service bot that feels almost human. These marvels are powered by Large Language Models (LLMs) giant AI systems trained on vast amounts of text. In todays AI-powered world, LLMs have become the brain behind many smart applications, from virtual assistants to content generators.
Most social media networks want to draw users onto the platform and keep them there. But, once again, Bluesky is taking the path less travelled. The decentralized social platform loves subverting the norm, and their latest announcement is the perfect example. Bluesky is testing a new livestreaming feature , starting with a small group of accounts and a few high-profile partners.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Dear SaaStr: We Have a Ton of VC Interest But Are Profitable. Should We Still Raise? Summary thoughts: Yes, if your balance sheet is weak. Yes, if your gut tells you you need it. Not just want it. But — Probably No if your balance sheet is strong and you’re not sure where to deploy it. Many founders end up regretting taking capital they didn’t need in the end.
The generative AI revolution has driven explosive growth in Large Language Model (LLM) applications. To build these AI-powered apps (chatbots, automated agents, RAG systems, etc.) more efficiently, developers rely on LLM orchestration frameworks. These frameworks provide pre-built components and workflowsabstracting away low-level detailsso teams can focus on logic and data integration.
Tired of wrestling with software licenses? Youre not alone! We wanted to dive into how to unlock a game-changing technique that can free up your schedule and your budget: automated license reclamation. Lets explore how implementing automated license reclamation can save you significant time and streamline your software asset management. The problem: Time wasted on manual license management For many, managing software licenses is a decidedly manual affair.
By the time you read this, your ICP already asked a question on Google and it answered without showing a single blue link to your website. They didnt get to see your homepage or clicked on your blog. They got a summary, built by an AI , that decided whether your brand was worth mentioning.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. 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. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
So I’m mostly made good investing decisions. My first VC investments were Pipedrive ($1.5B cash exit to Vista), Algolia (IPO candidate), Talkdesk ($10B last round, IPO candidate), Salesloft ($2.3B cash exit to Vista). And I have a few rocketships in the next batch, from Gorgias to RevenueCat to $1B+ Owner and more. A huge congrats to @RevenueCat to adding $50m at a big valuation increase to its Series C!
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Wow, Monday. It never had a downturn, and just keeps on growing at top-tier rates, selling both to SMBs and now larger enterprises. Financial Highlights Revenue : $282M in Q1 FY25, up 30% YoY (!) with consistent growth each quarter Profitability : 90% gross margin, 14% non-GAAP operating margin, significant improvement from negative margins in prior years Cash Flow : $110M adjusted free cash flow (39% of revenue), demonstrating strong cash efficiency Enterprise Traction : Customers with $50k+ AR
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Youve seen great success with your product and want to turn it into a mobile app. But when you try to build it, you realize its way harder than it looks. As a product manager, Ive seen it become a constant loop of juggling SDKs, waiting on engineering sprints, patching together feedback tools, and praying your analytics make sense. Even simple tweaks, like updating a tooltip or pushing a reminder, can take weeks.
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