Remove ChatGPT Remove Data Remove Underperforming Technical Team
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How SaaStr Fund-Backed RevenueCat Went from a $1.5M Round at $7M Valuation in 2018 to $500M+ Today

SaaStr

– RevenueCat now powers 1/3d of all new mobile subscriptions world-wide – New Apps using RevenueCat doubled in last 6 months – Powering monetization for ChatGPT, Notion, VSCO, Runna, and pic.twitter.com/McFmCBZ0eE — Jason SaaStr.Ai ” required weeks of developer time to answer.

Payments 277
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Is AI Penetration … Slowing Down? Ramp Says Possibly

SaaStr

New spending data from Ramp reveals a possible trend: end user AI adoption may be hitting its first growth slow down. But it’s just one data point, albeit across many Ramp customers. Beyond basic ChatGPT usage, effective AI implementation requires specialized expertise that’s in critically short supply.

AI 233
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Microsoft as a Mirror - What We Can Expect for SaaS in 2023

Tom Tunguz

I’m watching public company earnings to identify early weaknesses in the software market. Below, I’ve listed those trends with data & excerpts from the earnings call transcript. We will soon add support for ChatGPT, enabling customers to use it in their own applications for the first time.

Azure 256
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ChatGPT for Product Managers: 13 Best Prompts

User Pilot

From analyzing market trends to churning user needs and technical feasibility into golden product ideas, there are many benefits of ChatGPT for product managers. A potent tool, ChatGPT has proven to be a strategic addition to the product management toolkit, churning out ideas in even the most unlikely scenarios.

ChatGPT 105
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9 Survey Examples to Tap Into What Your Customers Are Thinking

User Pilot

Its purpose is to collect data necessary to personalize the onboarding experience by highlighting relevant features or resources for each user type. The survey aims to better understand users workflows and help prioritize product development initiatives, like new integrations, that add the most value to its users.

Scale 102
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What Is LLM Orchestration? Why SaaS Builders Should Care

How To Buy Saas

For example, an orchestrator might take a user prompt, select the best model for that task, handle any context or data lookups, then merge the outputs before returning an answer. In data-driven apps, you often use retrieval-augmented generation (RAG). The result is faster AI feature development and fewer manual interventions.

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Unprompted: Can agencies survive the AI apocalypse?

Unbounce

How you can increase the volume and variety of your creative output using AI How you can improve your prompts If managing your data privacy is even possible in this new AI age Listen to the episode to find out about how (human) marketing agencies can fare against marketing robots… or maybe team up and create an even more powerful force.

ChatGPT 98