Ta

Tabletop RPG Virtual Tabletop

Hacker News

Tabletop RPG Virtual Tabletop

TLDR: https://tabletoprpg.io Greetings, and Happy New Year. I've been working on a virtual tabletop for my friends and I to play Dungeons and Dragons. We've been gaming together since we were kids and virtual tabletops have been a great way to stay in touch over the years. I am releasing what I built for free because feedback and support will make the best application possible. I would like to make Tabletop RPG the place to go to create, play and publish games. There is a long list of features so I created a YouTube playlist that goes over creating an RPG map with animated backgrounds, Combat Tracking, Character Sheets, and more. https://www.youtube.com/watch?v=ktiepMgFLeY&list=PLG7QDFs8naH6TOIIrXeo1meVh7wzbELAi Early user feedback was "Stop everything and work on custom character sheets." So I stopped Fog of War development to work on a character sheet creator that will export to PDF and also exist as an interactive tabletop character sheet. Character Creator Update #1 https://www.youtube.com/watch?v=HPonSOZYgDE&t=1s Thanks for reading, if you made it this far I am very grateful. ASK: If you play game systems that are not D20 and want some features or tools added please comment. I think you are under-served but I am not familiar with systems outside D20.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
87%87% 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, ide, io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
45%45% 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 · Missing: mac, agents, macos
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Missing: web3, chat, crypto
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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