I made a tabletop RPG for remote groups

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URL: https://triumvene.com/ Short version - Dungeons & Dragons with less fighting and more trolley problems. Built as a digital platform. I'm building a non-combat focused tabletop RPG. There's going to be a persistent world with a small dump of lore each month, and larger world events twice a year. Campaigns are between groups of players in a shared world. We're planning an actual play series and a bunch of other interesting things at the moment as well. Happy to give any HN readers a free account to play around with. There's no VTT element and there's no plan to build one; instead it's focused on group storytelling and logging the story, rather than combat and world management. The world and rule set is very much built to be around levelling the playing field so the GM isn't expected to buy everything and be the centre of the world. Instead, players have as much agency as the GM does, and the world lore is free to access. Registration link - https://triumvene.com/#/portal/register Sign up for the free preview and I'll upgrade you to a full account. Contact info - pete at watson-wail dot es. Feedback welcome!

Visit product View on Hacker NewsFeb 10, 2023

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

63%63% 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.

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

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

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

BetaListMay not resonate with beta-testers · 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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