ReplylessAI

Hey Community 👋 I’m Sree, maker of Replyless. I built ReplylessAI because email has become a second job. Replyless is an AI-native email app for Gmail & Outlook that helps you reach Inbox Zero faster with smart split inboxes, AI drafts, clutter cleanup and daily briefs. I previously built Super.page, which was acquired by a YC-backed company. Now I’m building Replyless to make inbox overload feel manageable again. We’re also opening 50 limited lifetime licenses for early supporters. Ask me anything, answering all the QnA today! ❤️

Nice idea, Appreciate it

The split inbox concept is genuinely useful — most email apps treat triage as an afterthought. What I find compelling here is the Telegram daily brief: async digests reduce the anxiety of checking email constantly. One question for the maker: how does the AI learn which emails matter over time? If it's purely prompt-based without feedback loops, power users will hit limits fast. A thumbs up/down on categorization to improve it would make this sticky for the long haul.

I think that this is quite a good idea and alot of people will and SHOULD use it!

the product is great

The prompt-based split inbox concept is genuinely clever — most email apps sort by sender or keywords, but letting users define categories in natural language is a much more flexible approach. The Telegram daily brief is a great touch for people who want inbox awareness without being glued to their email. Would love to know how the AI handles newsletters vs. promotional emails that often look similar.

Yes i love it. The fact that it split inboxes accordingly is truly amazing.I like that once you login, you can tell which folder to open and what is in it. Good job

worth a shot, nice and appreciated very much.

Hi there! how Replyless handles the signal-to-noise problem differently from existing priority inbox approaches. Is the AI learning per-user patterns over time, or working from more generalised rules?

This app design looks great! Good luck with your launch

Hi there! how Replyless handles the signal-to-noise problem differently from existing priority inbox approaches. Is the AI learning per-user patterns over time, or working from more generalised rules?