Docket’s AI conversational marketing agent participates in human-like exchanges with website visitors to increase qualified pipeline generated by over 15%.

Docket does this by using its Sales Knowledge Lake™ to unify your company’s scattered GTM data, turning into an autonomous subject-matter expert that can answer nuanced questions with supporting visuals, qualify leads using discovery questions, book meetings routed to the right seller, and capture first-party intent insights from prospects.

CodeHerald provides a new way to keep track of your code review queue, grouped by your next action needed.

When would you use CodeHerald?

• You work in a team that does code reviews.
• Your team receives ad-hoc code review requests via multiple channels: DMs, emails, bookmarks of filtered lists.
• Your team sometimes loses track of small pull requests, delaying them days.
• Your team find ad-hoc code review requests distracting, but cannot put a finger on why.
• Your team tried different strategies to improve code review process, and none of them felt right.

If any of the above is true, CodeHerald will help you.

What can CodeHerald do for you?

CodeHerald groups pull requests by next action: must review, needs an update, can be merged. It allows you to replace slack, emails, filters, and browser bookmarks with one single page that you can open at a glance and decide which PR to tackle next.