Launching today
InboxJoy - Filter Noise from Social DMs
AI Social Media Automations for a Lifetime License
66 followers
AI Social Media Automations for a Lifetime License
66 followers
InboxJoy is a clean AI-powered Unified Inbox that connects with Instagram, Twitter etc., to surface what's important, so you can track revenue opportunities faster.
ReplylessAI
👋 Hey everyone — I’m Sree, a maker who loves building internet products.
InboxJoy is born out of a personal problem, "too many DMs"! It's a simple product to help people cut through noise and focus on the messages that matter.
Before this, I built Superpage, which exited to a YC-backed company. I’m also currently building Replyless.ai, exploring how AI can make email inboxes less chaotic and more useful.
Happy to answer any questions, and I’d really value your feedback.
Filtering DM noise is a real problem — especially on Instagram where 90% of DMs are spam or cold pitches. How are you training the 'importance' signal? Is it based on engagement history, follower count, or something more contextual like message content?
ReplylessAI
@bahaa_khateeb We treat importance as mostly contextual, not vanity-based.
Right now the strongest signals come from:
message content and intent
conversation history
whether it looks like a buyer, support request, collaboration, networking, or spam
user-specific context from onboarding and relabel feedback
We don’t rely heavily on follower count or surface-level metrics because those often miss real intent. A small account can be highly valuable, and a large account can still send noise.
Over time, the goal is to personalize importance more deeply based on how each user actually responds, who they engage with, and what types of conversations turn into outcomes.