An open source search engine for Taproot Assets

Hacker News

Introducing Royllo Explorer: a search engine for Taproot Assets living on the Bitcoin blockchain. Think of it as a "Google" for Taproot Assets, providing you with a web interface and an API to search and discover these assets with ease. The Key features include: - Search for Taproot assets and proofs using our user-friendly web interface. - Add your proofs to our database to let the world discover and learn about your assets. - Add universe servers to let us discover new data automatically (Work in progress). - Build new applications, services, and tools effortlessly using our GraphQL API. Get started now by visiting our website at https://explorer.royllo.org or explore our codebase on GitHub at https://github.com/royllo/explorer .

Visit product View on Hacker NewsJul 17, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos

88%88% 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.

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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

73%73% 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: friendly, interface · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% 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

10%10% 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.

Incorrect prediction on native model

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