Sat.Feb 10, 2024

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7 Things to Do When You’re Struggling

SaaStr

Dear SaaStr: What’s Your Best Advice for Struggling Entrepreneurs? Having struggled a lot myself in the early days several times … just a few thoughts to summarize my learnings: 1. Get help & upgrade the team. This is the #1 thing you can do to move the needle. Don’t be ashamed to ask for help. Especially if you are struggling.

Startup 310
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Streamlining Success: Why Optimizing the Quote-to-Cash Process in Agile Monetization Platforms is So Impactful

Blulogix

Streamlining Success: Why Optimizing the Quote-to-Cash Process in Agile Monetization Platforms is So Impactful By BluLogix Team Unlocking Efficiency and Satisfaction in the Subscription Economy In the agile world of subscription models and recurring revenue, the quote-to-cash (Q2C) process stands as a critical journey, defining the efficiency of operations and the depth of customer satisfaction.

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Dear SaaStr: How Big of a Return Are VCs Looking For in a Startup?

SaaStr

Dear SaaStr: How Big of a Return Are VCs Looking For in a Startup? For Angel, Pre-Seed: At least 50x, with a possible chance of mode. The loss rate in general is so high here, the winners have to do 50x. For Seed to Series C or so: At least 10x, with a possible chance of 100x. For Growth Stage: At least 3x, with a real chance at 10x if everything goes well.

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My App Stack: Rachel Wolan, CPO at Webflow

SaaStr

“My App Stack” is a new series where we dig in with top CMOs, CROs, CTOs and CEOs on just what apps they’re really using to run their business. I always learn a lot from these — they are in essence a best practices list from each leader. Last time we had a great one with Tifenn Dano Kwan, CMO at Amplitude, check it out here. This week we have Rachel Wolan, CPO at Webflow!

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.