ToolNest AI

LivingInbox

LivingInbox surfaces relevant messages across platforms to engage with prospects effectively.

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LivingInbox

What is LivingInbox?

LivingInbox surfaces semantically relevant messages across communities and tools. It allows users to add communities like Slack, Twitter, and tools like Email, SMS, etc. Users can set alerts like "Post by lead" or "Relevant to my product". It enables engagement with matching content from one place, helping users stay updated on prospects with unmatched recommendations. LivingInbox surfaces semantically relevant content across channels to engage with prospects at the right time.

How to use

To use LivingInbox, first add online communities and SaaS tools. Then, enter your product info, lead list, or alerts. Finally, get notifications, view relevant messages, and reply with AI assistance.

Core Features

  • Aggregates messages from multiple platforms
  • Provides AI-assisted replies
  • Allows custom alerts for relevant content
  • Surfaces semantically relevant content

Use Cases

  • Drive prospect conversions by engaging with the right message at the right time.
  • Never miss a prospect message and respond on time with the right content.
  • Eliminate context switching by viewing and responding to all messages in one place.

FAQ

What types of communities and tools can I add to LivingInbox?
You can add online communities like Slack and Twitter, and SaaS tools like Email and SMS.
How does LivingInbox help me engage with prospects?
LivingInbox surfaces semantically relevant content across channels, allowing you to engage with prospects at the right time with AI assistance.
What kind of alerts can I set up?
You can set up alerts like ā€œPost by leadā€ or ā€œRelevant to my productā€.

Pricing

Pros & Cons

Pros
  • Centralized message management
  • AI-powered reply suggestions
  • Customizable alerts for relevant content
  • Integration with various online communities and tools
Cons
  • May require initial setup to connect all desired platforms
  • Effectiveness depends on the accuracy of semantic analysis
  • Reliance on AI for replies may not always be suitable