Thu.Mar 13, 2025

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Double Click: Gocious Adaptive Roadmaps

Gocious Blog

Explore the Benefits of Customizable Dashboards for Greater Alignment and Transparency Roadmaps drive alignment, transparency, and strategic decision-making across product teams. As a central hub for planning and execution, they enable product managers to visualize goals, track progress, and communicate updates effectively. In fast-moving industries, having clear, well-structured roadmaps empowers teams to navigate complexity, ensure feature traceability to customer needs, and adapt quickly to c

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Reveal 1.7.3 is Here: Smarter Analytics, More Control, Better User Experience

Reveal

Reveal Embedded Analytics This update is packed with customization, usability, and performance improvements to help you build seamless, high-impact analytics experiences faster. Latest Update Features: Axis Title Customization: Modify axis titles directly in the editor for clearer, more precise labeling. Fixed Lines for Charts: Set static reference points to highlight key data trends.

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Five Ways the Square Lifecycle Team Uses Cohorts

Amplitude

Read five real-world examples that showcase how Squares lifecycle teams transition to self-service analytics has supercharged their cross-sell targeting.

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Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder & CEO of StackBlitz)

Lenny Rachitsky

Listen now on Apple, Spotify, and YouTube.Brought to you by: EppoRun reliable, impactful experiments Fundrise Flagship FundInvest in $1.

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How to Achieve High-Accuracy Results When Using LLMs

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. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m