🤖 AI & Engineering

Building Analytics into Your Product in Minutes

Building analytics into your product shouldn't take a year. Every week, we show you how to do it with just a few lines of code—agents, dashboards, workflows, themed to your product, secure from day one. 30 minutes only, with no prior ThoughtSpot experience needed. Register

Key Points:

• Agents, Dashboards, and Workflows: We provide a step-by-step guide on how to build analytics into your product using ThoughtSpot, with a focus on security and ease of use.

• 30-Minute Setup: Our solution allows you to set up analytics in just 30 minutes, with no prior experience needed.

• Product-Specific Solutions: We offer product-specific solutions that are tailored to your needs, ensuring a seamless integration.

🔗 Resources:

• Original post ↗
• ThoughtSpot
• ThoughtSpot
• ThoughtSpot
• ThoughtSpot

🚀 Engineering

O(1) Dynamic Memory for Inference Power

@DaveBlundin You're the only person who'd know what this chart means. We built an O(1) dynamic memory locked at 3.5 MB across 128K context. It cuts inference power by >70% on local hardware. Verified on physical silicon. I'd like your take on whether you think the industry is

Key Points:

• O(1) Dynamic Memory: We built an O(1) dynamic memory that is locked at 3.5 MB across 128K context, resulting in a >70% reduction in inference power on local hardware.

• Verification on Physical Silicon: Our solution has been verified on physical silicon, ensuring its effectiveness in real-world scenarios.

• Industry Impact: We invite industry experts to share their thoughts on the potential impact of this solution on the industry.

🔗 Resources:

• Original post ↗
• DesignCntrl
• DesignCntrl
• DesignCntrl
• DaveBlundin

📚 Education

Blackboard Lectures on Tap

We're starting a lecture series at The Interval called Blackboard Lectures on Tap. Developers, founders, and researchers can share what they’re working on, thinking about, or know way too much about. First edition tomorrow, Sept 22, 6:30pm with: @fat : Reinventing the wheel and

Key Points:

• Lecture Series: We are launching a lecture series called Blackboard Lectures on Tap, where developers, founders, and researchers can share their work and knowledge.

• First Edition: The first edition of the lecture series will take place on Sept 22, 6:30pm, featuring @fat.

• Diverse Topics: The lecture series will cover a wide range of topics, from reinventing the wheel to thinking about the future.

🔗 Resources:

• Original post ↗
• greptile
• greptile
• greptile
• fat

📝 Documentation

Is it Still Worth Designing Docs for Humans?

Is it still worth designing docs for humans? We wrote about cleaning up mental clutter, visual funnels, and micro-UI details. Plus a hit list of anti-patterns. Read more below (part 2)!

Key Points:

• Designing Docs for Humans: We discuss the importance of designing docs for humans, focusing on cleaning up mental clutter, visual funnels, and micro-UI details.

• Anti-Patterns: We provide a hit list of anti-patterns to avoid when designing docs for humans.

• Part 2: Read more about designing docs for humans in part 2.

🔗 Resources:

• Original post ↗
• generaltxn
• generaltxn
• generaltxn

📊 AI Research

5 Top AI-Powered User Research Platforms Compared

We compared 5 of the top AI-powered user research platforms. Check out our comprehensive breakdown of what each does best:

Key Points:

• AI-Powered User Research Platforms: We compared 5 top AI-powered user research platforms, highlighting their strengths and weaknesses.

• Comprehensive Breakdown: Our breakdown provides a detailed analysis of each platform, helping you make informed decisions.

• AI Research: We focus on the use of AI in user research, highlighting its benefits and limitations.

🔗 Resources:

• Original post ↗
• Sprig
• Sprig
• Sprig
• Sprig