Our 3D dice roller is up for an ENNIE Award

Hacker News

dddice[0] a multiplayer dice roller that allows your entire party to collect, customize, and roll 3D dice live using any of your favorite tabletop tools. We have integrations for: Roll20, Foundry VTT, Owlbear Rodeo, D&D Beyond, Stream Deck, OBS/Twitch, TaleSpire, Mobile/Desktop, and so much more. This means you can seamlessly collect and roll 3D dice across any of these tools. Roll from your phone into Foundry or connect Roll20 and D&D Beyond for a tightly integrated character sheet. Show off custom dice specially designed for your character or collect any of the 6,500+ free themes built by our community. *We're also up for an ENNIE this year!* We have been nominated for an ENNIE in the *Best Digital Aid/Accessory - Digital* category. It would mean a lot if you checked out the candidates this year and gave us consideration for this category. We truly love our community and all the feedback they've provided us over the year. Everything you see on dddice was due to someone's recommendation and we truly think we've built one of the best dice rollers ever. It would mean the world if you checked us out. Vote in the 2023 ENNIE Awards[1] Happy rolling, all! [0] https://dddice.com [1] https://vote.ennie-awards.com/vote/2023/

Visit product View on Hacker NewsJul 14, 2023

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Actual performance

2points

Did not reach leaderboard

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

84%84% 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 · Missing: plus, platform, intuitive

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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.

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

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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