
Shift Pay is a comprehensive tool designed for shift workers to efficiently manage their schedules and estimate earnings. This app allows users to plan normal, overnight, and rotating rosters, calculate earnings based on entered rates and breaks, scan roster images directly on the device, track live-shift timing, and export timesheets in PDF or CSV format. The Android version of the app can be used without creating an account, while optional Google sign-in enables data synchronization with the web dashboard. It is important to note that the earnings estimates provided are intended for planning purposes and do not constitute official payroll, tax, or financial advice.
Pro listings with featured placement across the directory.

Explore BACKD, a platform where entrepreneurs showcase their early-stage startups for community evaluation. Discover new business ventures, assess community feedback, track trends, engage in discussions, and observe which ideas gain support. BACKD offers insights into public sentiment and community conviction without the need for equity investment or financial returns. Join us to participate in the exciting world of startup evaluation and community-driven decision-making.

Discover Astar, a unique platform that transforms the live night sky into an interactive 3D space. With access to nearly 1 Million stars and 88 constellations, users can leave public or private notes on stars, uncover messages from fellow stargazers, and bookmark meaningful findings. Additionally, individuals have the opportunity to dedicate a personalized name to an unclaimed star, visible within the Astar community post-approval. Please note that these designations are exclusive to Astar and hold no official recognition from the IAU or other scientific organizations.

Discover how ChatterBeam can assist SaaS product and marketing teams in tracking public discussions related to their brand, competitors, and industry. Gather mentions from various platforms like X, Reddit, YouTube, and authorized LinkedIn Pages, and easily filter them based on relevance, sentiment, category, and urgency. Take action based on credible, source-linked signals rather than focusing solely on volume.