Ichido Metaverse Search, a search engine for WebVR pages

Hacker News

Hello HN, wanted to share an experimental search engine I've been working on. In my spare time I build search engines as part of a larger search engine project named Ichido[0]. The Ichido Metaverse Search Engine indexes WebVR pages that are built using the Aframe WebXR library[0]. Aframe makes it easy for developers to create 3D scenes in the browser by using simple HTML markup tags. These WebVR scenes can be accessed on mobile, desktop, and with a VR headset (but know that the functionality is limited on mobile). To type queries into the search engine, use the onscreen keyboard and press the return key to submit the query. You can also modify the querystring in the URL bar if the keyboard is not accessible. There is also a `random` query that will return random WebVR pages from the search engine. [0] https://aframe.io/ [1] https://ichi.do/

Visit product View on Hacker NewsApr 30, 2023

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

81%81% 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 · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% 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

33%33% 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

16%16% 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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