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Proof of Peace, Zero-Knowledge Proof for Verifiable Nuclear Disarmament

Hacker News

Proof of Peace, Zero-Knowledge Proof for Verifiable Nuclear Disarmament

Introducing Proof of Peace - a GitHub project utilizing Zero-Knowledge Proof (ZKP) for nuclear disarmament verification. This initiative aims to provide a secure, privacy-centric method for confirming disarmament and minimizing the disclosure of sensitive information. Highlights: - Implements advanced ZKP to safeguard data confidentiality during disarmament. - Open-source for community collaboration. - Detailed documentation for ease of use and contribution. The project is nascent, and we welcome constructive feedback and collaboration. Delve into Proof of Peace here: https://github.com/zk-bankai/proof-of-peace . Your expertise could significantly contribute to its development and application in global peace efforts.

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Actual performance

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Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
49%49% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, 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
42%42% 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: open · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, 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
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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