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Ask Cryptography, a platform to discuss cryptography research papers

Hacker News

Ask Cryptography, a platform to discuss cryptography research papers

This is a website that tries to accumulate public knowledge among cryptography papers. It is difference to other platforms is that the discussions are indexed by papers. Hence, it is easy to find all discussions or questions that has been posted about a paper so far.

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListSuited for BetaList early-adopters · Strong signals: crypto · Missing: web3, chat, cryptocurrency
53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
21%21% 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
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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