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8-bit virtual tabletop for playing 5E (webrtc, webgl and gopherjs)

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8-bit virtual tabletop for playing 5E (webrtc, webgl and gopherjs)

This is a project I've been working on myself for some time. It's a virtual tabletop written in golang and gopherjs with built in features for playing DND 5E. https://imetatroll.com There is still something missing, I feel. Maybe it is a lack of tiles for decoration. There are certainly things I can improve beyond the map editor but I do find myself wavering about the map itself. I don't have many users yet, but I hope to change that. Here is a video of the map editing for convenience: https://www.youtube.com/watch?v=CE2Apyf-KOE Also, this is "8-bit" in the sense that I'm using pixel art.

Visit productView on Hacker NewsFeb 8, 2019
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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
78%78% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos
70%70% 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, users · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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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