Prisme – Analytics for Web Artisans

Hacker News

Hey HN, I'm Alexandre. For the past 10 months, I've been working on Prisme Analytics, a web analytics service designed with privacy, simplicity, and scalability in mind. Prisme Analytics offers: 1. Quick setup: Install in just 3 minutes 2. Privacy-first approach: Designed to respect user privacy from the ground up 3. Progressive adoption: Start with basic web analytics and grow into more complex analysis as needed 4. Lightweight and self-hostable: Easy to run on your own infrastructure 5. Built-in dashboard: Get started with web analytics right away 6. Custom events and dashboards: Support for more complex analysis as your needs evolve 7. Product analytics support coming soon 8. Ability to access all individual events and sessions (via ClickHouse SQL) What sets Prisme Analytics apart is its focus on progressive capabilities. You can start simple and expand your analytics as your project grows, all while maintaining a strong commitment to user privacy. With custom events and dashboards (thanks to Grafana), there is no limit to how you can collect, query and visualize data. I'd love to get feedback from the HN community on the concept, features, and approach. You can check it out here: https://www.prismeanalytics.com/ It's currently in beta and completely free during the beta period. Looking forward to your thoughts and happy to answer any questions!

Visit product View on Hacker NewsAug 26, 2024

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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

82%82% 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.

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

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

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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