Donkey Directories vs WeekHack
Side-by-side comparison to help you choose the right AI tool.
Donkey Directories
Discover 250+ launch directories, autofill submissions in one click, and track every listing from one dashboard
Launch your side project weekly, gain community support, and earn valuable backlinks for enhanced SEO visibility.
Last updated: February 27, 2026
Visual Comparison
Donkey Directories

WeekHack

Overview
About Donkey Directories
Donkey Directories is a comprehensive tool for founders and product creators looking to streamline their launch process. It offers a curated database of over 250 launch directories with advanced filtering options, a Chrome extension for one-click form autofill, and an all-in-one dashboard to track submission status across all platforms. The service emphasizes a founder-to-founder approach with pragmatic, no-nonsense solutions, featuring one-time purchases only and no subscription model. It aims to save users time, increase launch visibility, and help them efficiently submit to high-value directories.
About WeekHack
WeekHack is an innovative weekly product launch platform tailored specifically for makers, indie hackers, and bootstrapped founders. Unlike traditional daily launch platforms where products can quickly become lost in the shuffle, WeekHack provides a unique opportunity for creators to showcase their side projects for an entire week. This extended visibility ensures that each launch receives the attention it deserves from a community of like-minded individuals. Participants can submit their projects for free or opt for a premium membership, allowing them to choose their desired launch week and gain featured placement. Additionally, the top three products earn prestigious winner badges and gain dofollow backlinks from a domain with a domain rating (DR) of over 50, significantly enhancing their SEO presence. WeekHack is built on the principles of community engagement, transparency, and meritocracy, empowering great products to rise to the top without the interference of algorithms.