Ask HN: What’s your startup’s analytics setup? (2023)

• android-analytics-debugger

  8 0 6.2 Java

  The Avo Android analytics debugger

  

Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined.

There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics coverage but also do so in a way where you can integrate them all to get a complete picture without any mismatch.

There is too much marketing speech copy on the sites of many analytics startups to properly evaluate them without wasting time and effort to signup, configure and use each one long enough to understand the value they provide.

Off the top of my head, there are services like Segment [1], Amplitude [2], Mixpanel [3], Trackingplan [4], Avo [5], Posthog [6], Freshpaint [7], etc.

So ten years later, what are the must-have analytics solutions for startups? What are the best tools for bringing in all the data from the different analytics tools? How should Engineering, Product and Data work together around analytics?

The more details you can provide the better.

[0]: https://news.ycombinator.com/item?id=4707903

[1]: https://segment.com

[2]: https://amplitude.com

[3]: https://mixpanel.com

[4]: https://www.trackingplan.com

[5]: https://www.avo.app

[6]: https://posthog.com

[7]: https://www.freshpaint.io

• PostHog

  99 17,172 10.0 Python

  🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.

  

Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined.

There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics coverage but also do so in a way where you can integrate them all to get a complete picture without any mismatch.

There is too much marketing speech copy on the sites of many analytics startups to properly evaluate them without wasting time and effort to signup, configure and use each one long enough to understand the value they provide.

Off the top of my head, there are services like Segment [1], Amplitude [2], Mixpanel [3], Trackingplan [4], Avo [5], Posthog [6], Freshpaint [7], etc.

So ten years later, what are the must-have analytics solutions for startups? What are the best tools for bringing in all the data from the different analytics tools? How should Engineering, Product and Data work together around analytics?

The more details you can provide the better.

[0]: https://news.ycombinator.com/item?id=4707903

[1]: https://segment.com

[2]: https://amplitude.com

[3]: https://mixpanel.com

[4]: https://www.trackingplan.com

[5]: https://www.avo.app

[6]: https://posthog.com

[7]: https://www.freshpaint.io

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Mixpanel

  28 1,046 7.5 Objective-C

  Official iOS (Objective-C) Tracking Library for Mixpanel Analytics

  

Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined.

There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics coverage but also do so in a way where you can integrate them all to get a complete picture without any mismatch.

There is too much marketing speech copy on the sites of many analytics startups to properly evaluate them without wasting time and effort to signup, configure and use each one long enough to understand the value they provide.

Off the top of my head, there are services like Segment [1], Amplitude [2], Mixpanel [3], Trackingplan [4], Avo [5], Posthog [6], Freshpaint [7], etc.

So ten years later, what are the must-have analytics solutions for startups? What are the best tools for bringing in all the data from the different analytics tools? How should Engineering, Product and Data work together around analytics?

The more details you can provide the better.

[0]: https://news.ycombinator.com/item?id=4707903

[1]: https://segment.com

[2]: https://amplitude.com

[3]: https://mixpanel.com

[4]: https://www.trackingplan.com

[5]: https://www.avo.app

[6]: https://posthog.com

[7]: https://www.freshpaint.io

• pirsch

  41 837 9.1 Go

  Pirsch is a drop-in, server-side, no-cookie, and privacy-focused analytics solution for Go.

  

If you use Google Analytics, you can get in a lot of trouble if you don't prompt the user with the cookie policy pop up. GDPR is a MF. I feel like it's bad UX to have that pop up, and I don't want to get in trouble, so I opt to use more bare-bones analytics and do a lot of custom logging myself.

The tool I use specifically is https://pirsch.io/, which is very privacy friendly and doesn't have any of the stalky type stuff that Google Analytics has as default. Using this, you don't need to have the GDPR compliance pop-up.

Suggest a related project