Asanka Jayasuriya is the CTO at 8VC. He is an accomplished engineering and product leader with 20+ years of experience in the cloud. He has a strong background in enterprise SaaS, PLG products, infrastructure, and security. Notably, he served as CTO and SVP of Engineering at SailPoint, leading their successful transition to the cloud and successful exit event. He also held senior leadership roles at InVision, Atlassian, and Amazon, driving growth, operational excellence, and innovation. At 8VC, Asanka works with the entrepreneurs and leaders in our portfolio as a virtual CTO supporting their growth.
What’s a Rich Text element?
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
Static and dynamic content editing
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
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Quantifying the Impact of GenAI Developer Tools
It’s widely agreed that GenAI will transform software development, and GenAI dev tools have emerged as cornerstones of 8VC’s portfolio and broader AI productivity thesis. Up to now, however, hard data on the scale and specifics of this shift have been missing from the equation. In competitive industries, the speed and efficiency gains promised by GenAI coding tools could well mean the difference between market leadership and obsolescence. Companies can’t afford to select the wrong tools and end up on the wrong side of the AI adoption curve.
Quantifying the Impact of GenAI Developer Tools
It’s widely agreed that GenAI will transform software development, and GenAI dev tools have emerged as cornerstones of 8VC’s portfolio and broader AI productivity thesis. Up to now, however, hard data on the scale and specifics of this shift have been missing from the equation. In competitive industries, the speed and efficiency gains promised by GenAI coding tools could well mean the difference between market leadership and obsolescence. Companies can’t afford to select the wrong tools and end up on the wrong side of the AI adoption curve.
