InboxAgents

needed one, inbox is filled with spams mostly and filtering out the important one is a task. an ai for it is the best :)

We currently have an affiliate program where for every user who uses your code and converts to paid, you get their first month's payment. Simply go to "refer & earn" on your InboxAgents dashboard and it'll allow you to track payouts.

Congrats on the launch! The early days of finding those first customers are such a grind. I remember spending what felt like half my week just on manual outreach and follow-ups. It's a tough bottleneck to break. Having gone through that recently, I've got a couple of growth experiments that might help you get initial traction without the manual slog. No strings attached, just happy to share the 1-page plan if you're interested. Keep up the great work!

Your pitch hinges on prioritization. What signals are you using to decide what’s “important” (sender identity, past replies, keywords, CRM context, revenue tags, recency, relationship strength, etc.), and how do you make that system controllable so users can trust it and avoid both false positives and missing critical messages?

InboxAgents caught my attention. Useful direction if it stays reliable in everyday use. I care most about clear control and predictable results.

We're launching our next MVP iteration with a core focus on replacing the Linkedin inbox because it sucks. This time we integrate 9 platforms with a new priority interface that learns your context & surfaces important matters to your attention.