Kivach
Cascading donations
Add repoPopularDonorsF.A.Q.
My repos

Footer

Subscribe to our newsletter

The latest news, articles, and resources, sent to your inbox.

DiscordTelegramTwitterMediumFacebookYouTubeGitHub

All information about repositories belongs to their owners.

More information about Kivach in the introductory article.

Built on Obyte

The @postalsys/bounce‑classifier library is a lightweight, pure‑JavaScript machine‑learning model that reads the human‑readable diagnostic text of SMTP bounce messages and assigns each to one of 16 predefined categories, each mapped to a concrete remediation action (e.g., remove, retry, fix configuration). It runs entirely client‑side—usable in Node.js or in browsers—so no API calls or data leave your infrastructure, making it ideal for high‑volume, privacy‑sensitive email pipelines that need automated, actionable bounce handling.

Total donated
Undistributed
Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of postalsys/bounce-classifier

Account's avatar
eslint/eslint
ESLint JavaScript language implementation
Account's avatar
evanw/esbuild
An extremely fast JavaScript and CSS bundler and minifier.

Support the repos that depend on this repository

Top contributors

andris9's profile
andris9
46 contributions
github-actions[bot]'s profile
github-actions[bot]
9 contributions

Recent events

Kivach works on the Obyte network, and therefore you can track all donations.

No events yet
postalsys

postalsys/bounce-classifier

Bounce classifier

JavaScript
4
0
MIT License