
Hive Index
Find your people online
About
Hive Index is a comprehensive online directory designed to help people discover and join internet communities across hundreds of niches and platforms. The platform organizes thousands of communities from places like Discord, Reddit, Slack, Circle, Facebook Groups, Telegram, LinkedIn, Skool, and many other community platforms into one searchable database. Instead of manually searching across the web, users can browse communities by topic, platform, features, or audience type, making it much easier to find active groups that match their interests or professional goals.
The website currently features nearly 5,000 communities covering categories such as entrepreneurship, SaaS, software development, marketing, gaming, crypto, sports, writing, photography, fitness, and many more. Each listing includes useful information like member counts, supported features, community type, platform details, and direct access links. Users can instantly compare communities side-by-side to determine which ones are most active, valuable, or relevant to their needs.
Hive Index is especially useful for entrepreneurs, creators, startup founders, marketers, developers, and online professionals who want to network, learn, collaborate, or grow their businesses inside specialized communities. The platform highlights whether a community offers features such as live chat, discussion forums, newsletters, events, job boards, educational courses, mentorship, pairing systems, exclusive perks, or paid memberships. This structured approach helps users quickly identify communities that provide the exact experience they are looking for.
One of the platform’s biggest strengths is its broad platform coverage. Hive Index catalogs communities across more than 30 different platforms, including major ecosystems like Discord and Reddit as well as independent custom-built communities. Users who prefer real-time conversations can focus on chat-based communities, while others may prefer slower forum-style discussion spaces or professional networking groups. This flexibility allows Hive Index to serve a very wide audience.
For community owners, Hive Index acts as a discovery and growth platform. Community builders can submit their groups for free and receive dedicated listing pages that increase visibility among highly targeted audiences actively searching for communities to join. Listings can showcase community benefits such as events, educational resources, networking opportunities, job boards, and member perks. The platform also provides analytics and exposure tools that help owners understand how users interact with their listings.
The website positions itself as “the internet’s most comprehensive directory of online communities,” and its structure strongly supports that claim. Hive Index continuously curates and updates listings to keep the directory relevant and organized. It also offers sponsored placements, featured community sections, and editorial recommendations to help standout communities gain additional exposure.
Overall, Hive Index is a powerful discovery platform for anyone looking to connect with like-minded people online. Whether someone wants to find entrepreneurial masterminds, niche hobby groups, professional networking circles, educational communities, or startup ecosystems, Hive Index simplifies the process by bringing the fragmented online community landscape into one centralized and searchable platform.
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our sort of like a umbrella metric for all those monetization experiments was the average revenue per user in the first seven days So this kind of RPU 7D
Use ARPU-7D as your monetization north star
Mojo chose 7-day ARPU as their single unifying experiment metric because it covers the full 3-day trial window and directly feeds the unit economics needed to scale paid acquisition. Optimizing for trial conversion alone can miss revenue quality signals; ARPU-7D captures plan mix, price, and conversion simultaneously. It also shortened the feedback loop so each experiment cycle concluded in 1-2 weeks per geo segment.
I think that we're about to see another big shift with these new models Neither of those things are going to be a problem Creative volume not an issue Creative diversity not an issue The challenge is going to be that we have so many creatives and not enough ad spend to actually test them all.
Next Problem: Too Many Creatives, Not Enough Budget to Test Them All
Nathan flags the next wave of growing pains in AI-powered paid UA: budget, not production, becomes the binding constraint. When a single agent can produce hundreds of credible creatives per day, even a well-funded growth budget can't test them all to statistical significance. Teams need smarter creative filtering and prioritisation frameworks upstream — to decide which hypotheses are even worth generating, let alone spending to test.
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