Analytics – Open-Source Analytics for Wikis and public websites

Hacker News

If you want your wiki to be a valuable and trusted resource, understanding your audience is crucial. You need insights into which pages are popular, how frequently they're accessed, and the search terms users are employing. That is why the XWiki team developed the Analytics App (Pro), a privacy-focused open-source alternative to Google Analytics, integrated with Matomo. You are in control of where your usage statistics are being stored. For example, you can choose to have XWiki Cloud but host your own self-hosted Matomo server. If you do this, your XWiki data will be hosted by OVH and your analytics data, the one that Matomo collects about usage of the XWiki instance, will be on your self-hosted Matomo server. Committed to transparency, we develop our products openly with a public roadmap. We value your feedback and feature requests, so please don't hesitate to share them with us.

Visit product View on Hacker NewsMay 24, 2024

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

94%94% 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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google, users · Missing: mobile apps, ios, personal

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

Hacker NewsMay not resonate with HN audience · Strong signals: lua · Missing: https docs, excited, just released

45%45% 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 · Strong signals: host, users · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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.

Correct prediction on native model

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