Roll20, a new virtual tabletop for playing RPGs online

Hacker News

This is a project that I have been working on in my spare time for a while now. It's a new virtual tabletop for playing pen and paper role playing games online, but it takes an entirely different approach than anything out there right now. Rather than trying to turn pen and paper games into video games, with features centered around one-click damage calculations and detailed stats tracking, Roll20 focuses on storytelling. It has completely new features like background music, player journals, and an expansive art library with a built-in web search. The entire system runs on NodeJS, Padrino, Backbone JS, Raphael, ShareJS, and a few dozen other "HTML5" technologies. OpenTok/TokBox powers the built-in video chat. We're trying to raise some money on Kickstarter to fund further development and get us to the finish line. If you enjoy playing pen and paper games and think this is a good idea, we'd love your support -- help us spread the word!

Visit product View on Hacker NewsApr 13, 2012

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

89%89% 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: 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 · Missing: plus, platform, intuitive

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

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

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

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% 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.

Correct prediction on native model

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