SpamSieve gives you back your inbox by bringing powerful Bayesian spam filtering to Mac e-mail clients. It learns what your spam looks like, so it can block nearly all of it. It looks at your address book and learns what your good messages look like, so it won’t confuse them with spam.
“Add powerful spam filtering to your Mac’s e-mail client”
SpamSieve launched on Product Hunt on March 6th, 2018 and earned 70 upvotes and 2 comments, placing #36 on the daily leaderboard. SpamSieve gives you back your inbox by bringing powerful Bayesian spam filtering to Mac e-mail clients. It learns what your spam looks like, so it can block nearly all of it. It looks at your address book and learns what your good messages look like, so it won’t confuse them with spam.
SpamSieve was featured in Mac (103.5k followers), Email (36.7k followers), Productivity (650.2k followers) and Tech (621.9k followers) on Product Hunt. Together, these topics include over 304.5k products, making this a competitive space to launch in.
Who hunted SpamSieve?
SpamSieve was hunted by Michael Tsai. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how SpamSieve stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Michael Tsai