Vi

Violet: A massively composable digital identity protocol

Hacker News

Violet: A massively composable digital identity protocol

This is not a ~crypto project~. This is a 100% utility project on a blockchain. Fraud-, tyrranical regime- and malevolent AI-resistant digital identities are what blockchains are for. I am interested in sharing my initial use-case deployment of a highly composable and secure identity protocol called "Violet." It has been leveraged in the context of putting Twitter identities on a highly decentralized public ledger blockchain (Cardano). However, Twitter is one context of any imaginable context (on the internet or off). This protocol has use cases across any industry / credentialing need/ social setting. You will need a Cardano browser wallet and some test tokens (tADA) on Cardano's preprod network. Thank you for trying it out! Any comments/questions/criticism welcome.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% 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.
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.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
39%39% 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
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: context · Missing: mac, agents, macos
21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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