An API to build self-sovereign identity products

Hacker News

We recently released our free API ( https://www.truvity.com/platform ), demo (soon to be open-sourced) and developer documentation ( https://docs.truvity.com/ ) in the hopes of seeing more people take advantage of the benefits of self-sovereign identity. Like it's ability to remove fraud from the equation, quicker verification speeds, and more power for individuals of their data. Use cases could include many things including managing carbon credits, issuing university diplomas or building customer loyalty programmes. The possibilities are quite endless. Looking for feedback on what's been built; all comments are welcome.

Visit product View on Hacker NewsOct 19, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

81%81% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

66%66% 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: open · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon · Missing: plus, intuitive, reviews

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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

13%13% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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