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A Minecraft Social Plugin Worth Watching

Hacker News

A Minecraft Social Plugin Worth Watching

While I'm a huge Minecraft fan, I've always been surprised at the lack of social features within Minecraft. When my sons get home from school, they call their friends on the phone and ask what Minecraft server they are on. And we yell back and forth across the house 'what server are you on?'. It reminds of the days of Halo before Xbox Live when my friends and I were using GameSpy and unlimited cellphone plans to play Halo across the Internet. That was the start of an idea that is now called FriendsForMinecraft. It is a client mod, supported by a backend service that enables a number of Facebook, Twitter and FourSquare-like features for Minecraft. Here are some of the features: - send messages/chat back and forth between friends regardless of what server they are on - see when friends are online/offline and what server they are playing on - a camera feature, allowing friends to share, comment and 'like' photos - 'check-in' to servers, 'like' servers, discover trending/popular/new servers - live activities feed / instant notifications and control over what/where/when notifications you recieve - a one-click installer that installs Forge if necessary, installs the FriendsForMinecraft mod, and backs-up your existing minecraft.jar while doing so. :-) I launched my private beta program last week and plan to go into public beta in the coming weeks. In preparation for handling what I hope is a bunch of users... I need more private beta testers to validate that we are indeed ready to go public. If you're willing to give a fellow Minecraft fan a hand... please help me as a private beta tester before I open the doors to the public. It's really simple, just leave me your email address at http://www.friendsforminecraft.com and I'll send you instructions for testing. I pinky swear I will not spam your email or let it fall into the hands of anyone that would spam you. Thank you! nwkayaker Founder: FriendsForMinecraft.com

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users, way, para · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, new, email · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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