DeloPulse is a tool that transforms work Telegram groups into a transparent assignment tracking system. Users can assign tasks to multiple team members, who can then report their progress individually, allowing the group to easily track who has completed their tasks and who still needs to provide updates. DeloPulse also offers features such as deadline reminders, task review and rework, recurring tasks, checklists, comments, calendar integration, and analytics within the bot and Mini App. Unlike traditional personal to-do lists, DeloPulse emphasizes visible individual accountability. The tool is available for free in Russian, Uzbek, and English languages.
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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.
