
Discover a directory website that features MeetingScribe, a Mac application that records, transcribes, and summarizes meetings in real-time without the need for a bot, cloud storage, or subscription. Live captions are generated using the Neural Engine, with automatic speaker separation. The software can transcribe a 45-minute call in approximately 90 seconds. Users can easily create summaries with action items using their Claude account or Apple Intelligence, all while ensuring that their audio data remains on their machine. MeetingScribe is a free and open-source tool available for Mac users.
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.