Trag is an AI code review tool which helps to make code review process faster and save senior engineers time by giving them already ai pre-reviewed code.
Smartlook is a qualitative analytics solution for web and mobile helping over 250,000 businesses of all sizes and industries answer the “whys” behind users’ actions — why do users churn, or why aren’t they using a feature, or why are they skipping onboarding? Now you can eliminate the guesswork.
With a unique feature set, Smartlook gives you a way to finally understand user behavior at the micro level. Always-on visitor recordings show you what every last visitor does on your website or app, and heatmaps give you mass data about where most people click and scroll. Automatic event tracking lets you know how (and how often) your visitors do specific things, while conversion funnels take those events and show you how much success you're having with conversions.
Started in 2016, Smartlook has grown into a complete solution for qualitative analytics, making guesswork a thing of the past. Stop wondering why, and start getting answers today.
Trag's answer
Static code analysis and LLMs
Trag's answer
Software engineers.
Trag's answer
Trag ancestor was design system analytics tool which allowed companies to solve small part of their technical debt. Trag is going to become a "software maintenance on autopilot" tool.
Trag's answer
Trag helps to pre-review code and find bugs before sending it to code review.
Trag's answer
Trag enable users to customize their code review process based on company culture.
Based on our record, Smartlook seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Check out - smartlook.com. Just started with it yesterday and so far so good. Source: about 1 year ago
In other words, the site should fail gracefully if smartlook.com or whatever is blocked. Source: almost 2 years ago
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