GrokBB – My Reddit Alternative

Hacker News

https://www.grokbb.com I have spent the last year building GrokBB, a Reddit alternative, and I was wondering what you guys think? The site is not a news aggregator, like Reddit, but built more along the lines of traditional bulletin boards. Its focus will be on supporting and promoting niche communities, by giving them proper tools to manage their users and organize / produce high quality, original content. There is no voting system, and popularity is determined by what users actually do on the site. As well, there is a way for the moderators in a community to promote valuable users by giving away badges and / or points that increase their reputation on the board. Some additional highlights ... - Create Sticky and Private Topics - Send Board Announcements To All Subscribed Users - Built-In Category System for Organizing Topics - Use Tags To Create Your Own Filtering System - Extensive Moderation Tools (including banning users) - Users Can Subscribe, Search, Sort and Filter Topics - Create Badges and Customize Your Own Branding - Access to User / Board / Topic Analytics Anyway, I was hoping maybe some of you could give the site a shot, maybe create a few communities and let me know what you think! Owning a board will eventually require a paid subscription, and so I will be giving out extended and / or free subscriptions to anyone who provides valuable feedback or bug reports at this early stage. If you're interested, you can see the roadmap I have planned out or suggest new features in the GrokBB Dev board. https://www.grokbb.com/g/GrokBB_Dev/view/1

Visit product View on Hacker NewsJul 2, 2016

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, grok · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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