Mini ICOs of physical (art) pieces

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Hi everyone, We just launched possibly a first ICO of a physical object ever. The project page is here: http://www.trivial.co/ And the first ICO page is here: http://www.trivial.co/auction/ The first item sold is just a rat mascot with no artistic purpose, but possibly - a high historical one :) The site requires MetaMask to track ICO's progress - we'll be fixing that soon. Any feedback will be appreciated. Especially potential new sellers, ideas for things anyone would be willing to buy, and ideas for investment funds willing to play with such tokens :)

Visit product View on Hacker NewsAug 1, 2017

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

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

best fitHighest predicted score across all platforms for this description.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

58%58% predicted probability of success on Product Hunt, 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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

34%34% 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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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