WhatA privacy-first desktop app that connects to any email account via IMAP and uses a local LLM to filter spam with near-perfect accuracy, no cloud required.
SignalA commenter built exactly this and reports 97%+ accuracy using local models, validating that the approach works — meanwhile multiple others express that traditional spam filtering (SpamAssassin) never worked well for them and they've resorted to workarounds like plus-addressing or giving up entirely.
Why NowLocal LLMs in the 4-32B parameter range have just become fast and accurate enough to run real-time email classification on consumer hardware, and open models like gpt-oss:20b make this practical for the first time.
MarketPrivacy-conscious professionals and small businesses who self-host or use non-Gmail providers; ~50M+ self-hosted email users globally; competitors are SpamAssassin (outdated) and big provider filters (not available to self-hosters).
MoatFine-tuned spam classification models trained on diverse real-world corpora improve with each user's feedback, and local-first positioning creates trust that cloud alternatives can't match for privacy-sensitive users.
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