WA
WASM/TS crypto library for Ed25519, Shamir sharing, AEAD secret boxes
Hacker NewsWASM/TS crypto library for Ed25519, Shamir sharing, AEAD secret boxes
Hello HN, I made this library because I wanted better performance than tweetnacl and I also wanted Shamir secret sharing. I wrote some C functions that use libsodium and compiled them to WASM with emscripten and everything is fully typed. Would love to hear your thoughts on this. Try it out, and of course feedback and contributions are very welcome!
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting66%66% 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, intuitive64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released47%47% 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 · Missing: mac, agents, macos46%46% 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, personal40%40% 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, revenue14%14% 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, cryptocurrency8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Mn
MnemonicSafe – A BIP-39 Secret Sharing Library Inspired by Slip-3953%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MnemonicSafe – A BIP-39 Secret Sharing Library Inspired by Slip-39
Hacker News1Op
Open-Source Shamir Secret Sharing Library in Go66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-Source Shamir Secret Sharing Library in Go
Hacker News14SH
SHOW HN: Secret sharing in the browser57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SHOW HN: Secret sharing in the browser
Hacker News2Di
DiceSlice – Secret Sharing in the Browser62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
DiceSlice – Secret Sharing in the Browser
Hacker News1Mu
Multipass, secret sharing for teams55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Multipass, secret sharing for teams
Hacker News2mi
milo c++ constexpr crypto library45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
milo c++ constexpr crypto library
Hacker News1Do
Dots and Boxes in Elm58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dots and Boxes in Elm
Hacker News31Bo
Boxes48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Boxes
Hacker News52Cereal Boxes13%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cereal Boxes
Indie Hackers
Rigid Boxes23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rigid Boxes
Product Hunt+1