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  • Home
  • CEO diaries
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • Tell me about features, not benefits
    • The magic of a Hacker News Pre-Mortem
    • How to run a transparent startup
    • How we justified quitting our jobs and financing PostHog early on
    • How we made something people want
    • Moving to San Francisco
    • Pivot to PostHog
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • How we raised $3M for an open source project
    • A story about pivots
    • The YC Interview
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Writing for developers
    • Reflecting on YC, 2 years on
  • Company & culture
    • How we do meetings at PostHog
  • Comparisons
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Why I ditched Google Analytics and Mixpanel for PostHog
  • Engineering
    • Enabling zero downtime data migrations for self-hosted users
    • Automating a software company with GitHub Actions
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Setting up super fast Cypress tests on GitHub Actions
    • How I learned to love feedback loops (and make better products)
    • Frontend filters & backend SQL - A chat with Eric Duong, Sam Winslow, James Greenhill, and Buddy Williams
    • PostHog Joins Hacktoberfest 2020
    • How PostHog built an app server (from MVP to billions of events)
    • How we’re making PostHog deployments easier
    • Solving the mystery of PostHog’s missing session recordings
    • I used to think you don't need product people. I was wrong.
    • The secrets of PostHog query performance
    • Benchmarking the impact of session recording on performance
    • The state of plugins on PostHog
    • We ship whenever
  • General
    • Setting up super fast Cypress tests on GitHub Actions
    • How we designed the PostHog mascot
    • Why you may not need a sales team
    • A story about pivots
  • Guides
    • Introduction to self-service analytics
    • Building an AARRR pirate funnel (how and why)
    • 5 essential tips for Customer Success teams on PostHog
    • 5 analytics ideas for marketing teams using PostHog
    • Automating a software company with GitHub Actions
    • The most useful B2B SaaS product metrics
    • The 7 best GDPR-compliant analytics tools
    • The best HIPAA-compliant A/B testing tools
    • The 5 best free and open-source A/B testing tools
    • The 4 best HIPAA-compliant analytics tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • The two ways to estimate your monthly event usage
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Google is about to make it a lot harder to track website and app users without third-party cookies
    • Setting up super fast Cypress tests on GitHub Actions
    • 5 essential PostHog apps for new users
    • 5 events all teams should track with PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How to get the first 10 paying customers for your devtool company (and other customer acquisition tips)
    • The best GA4 alternatives for apps and websites
    • How to harness the awesome power of growth loops
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • How we do hiring & HR at PostHog
    • How we turned ClickHouse into our event mansion
    • An introduction to customer retention
    • Is Google Analytics HIPAA compliant?
    • Finding your North Star metric and why it matters
    • How we monetized our open source devtool
    • Building an open source data stack
    • How to plan a killer company offsite in just 8 weeks
    • Permissions and projects in PostHog, explained
    • How (and why) our marketing team uses PostHog
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Product engineer vs software engineer: what's the difference?
    • Don’t bother securing your trademarks in the beginning
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • The ops toolkit for early-stage startups
    • How (and why) to track your website with PostHog
    • 22 ways PostHog makes it easier to build great products
    • What is a product engineer (and why they're awesome)
    • A simple guide to personal data and PII
    • An introduction to product analytics and how it works
    • What is SSO and why you should enable it for PostHog
    • The 3 critical reasons companies choose self-hosted analytics
  • HogMail
    • HogMail #14
    • HogMail #15
    • HogMail #16
    • HogMail #17: The personal traits that can't be taught
    • HogMail #18: What can SaaS learn from the New York Times?
  • Inside PostHog
    • PostHog raises $15 million Series B for open source product analytics
    • A non-coders thoughts on ‘Everybody Codes’ - Part Two
    • A non-coder's thoughts on an 'Everybody Codes' culture
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • How PostHog uses Wren to offset carbon emissions during offsites
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • How we do customer support at our open source devtool company
    • The importance of dogfooding - Why product managers should use their product as much as their users
    • How we designed the PostHog mascot
    • Using Gatsby and Puppeteer to create dynamic Open Graph images
    • Creating an employee-friendly startup share option scheme
    • Tell me about features, not benefits
    • How I learned to love feedback loops (and make better products)
    • The magic of a Hacker News Pre-Mortem
    • HostHogs - free drinks, free pizza and frequently asked questions
    • How to run a transparent startup
    • How we do hiring & HR at PostHog
    • How PostHog built an app server (from MVP to billions of events)
    • How we turned ClickHouse into our event mansion
    • How we justified quitting our jobs and financing PostHog early on
    • Introducing Phil Leggetter, our new head of Developer Relations
    • Using Google Analytics was deemed 'illegal' in some EU countries. We built a microsite in 48 hours to capitalize on the news.
    • Introducing Joe Martin - Our first Product Marketer
    • How we made something people want
    • How we do meetings at PostHog
    • Solving the mystery of PostHog’s missing session recordings
    • Moving to San Francisco
    • How PostHog's new VP focused the company on nailing funnels in his first week
    • An engineer's guide to picking a cofounder
    • Pivot to PostHog
    • How to plan a killer company offsite in just 8 weeks
    • PostHog raises $12 million in funding led by GV and Y Combinator
    • What we learned about hiring from our first five employees
    • How (and why) our marketing team uses PostHog
    • How we rebranded PostHog in four weeks - a postmortem
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • What's the true role of a product team at an engineering-led organization?
    • Building an all-remote company from scratch
    • How we raised $3M for an open source project
    • All the cool things we built at our Rome hackathon
    • Content marketing strategy for devtool companies - How we do it at PostHog
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • Benchmarking the impact of session recording on performance
    • Speeding up PostHog builds with Depot
    • How to run finance at your startup without hiring a finance person
    • How to choose job titles in your early stage startup
    • Startups, stop treating engineers like a different species
    • The ops toolkit for early-stage startups
    • A story about pivots
    • The YC Interview
    • Why we ditched ‘talk to sales’ for transparent pricing
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Why I ditched Google Analytics and Mixpanel for PostHog
    • Why infrastructure is a competitive advantage for us
    • Why we raised a $15m Series B ahead of schedule
    • Writing for developers
    • Reflecting on YC, 2 years on
    • YC adds PostHog to top valued companies for July 2021
  • Launch week
    • Introducing Collaboration for PostHog
    • Introducing Data Management for PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How we’re making PostHog deployments easier
    • PostHog Launch Week I: A Universe of New Features
    • The secrets of PostHog query performance
  • Open source
    • The Early Days of GitLab - A Chat with Sid Sijbrandij
    • The 5 best free and open-source A/B testing tools
    • The 6 best free and open-source feature flag tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • How we do customer support at our open source devtool company
    • How I learned to love feedback loops (and make better products)
    • PostHog Joins Hacktoberfest 2020
    • Give Back Friday with PostHog
    • Building an open source data science publishing platform - An interview with Datapane CEO, Leo Anthias
    • How we monetized our open source devtool
    • Open source is eating SaaS
    • Building an open source data stack
    • Should open source projects track you?
    • PostHog vs Amplitude
    • How we raised $3M for an open source project
    • Why open-source projects are essential for large businesses
    • Send love to open-source projects on Valentine's Day
    • Speeding up PostHog builds with Depot
    • The 3 critical reasons companies choose self-hosted analytics
  • PostHog Academy
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • An introduction to customer retention
    • An introduction to product analytics and how it works
  • Privacy
    • The 7 best GDPR-compliant analytics tools
    • The best HIPAA-compliant A/B testing tools
    • The 4 best HIPAA-compliant analytics tools
    • Google is about to make it a lot harder to track website and app users without third-party cookies
    • A new 'Privacy Shield' won't solve big tech's GDPR problem
    • Is Google Analytics HIPAA compliant?
    • A simple guide to personal data and PII
  • Product analytics
    • Introduction to self-service analytics
    • Building an AARRR pirate funnel (how and why)
    • The two ways to estimate your monthly event usage
    • How to harness the awesome power of growth loops
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • An introduction to customer retention
    • Is autocapture ‘still’ bad?
    • Finding your North Star metric and why it matters
    • How PostHog's new VP focused the company on nailing funnels in his first week
    • What's the true role of a product team at an engineering-led organization?
    • How to turn your engineers into product people
    • 22 ways PostHog makes it easier to build great products
    • An introduction to product analytics and how it works
  • Product updates
    • Why we're giving away 100 times more cloud usage, free
    • Enabling zero downtime data migrations for self-hosted users
    • Introducing the Avo Inspector app
    • We just made PostHog Open Source 1000x more scalable via ClickHouse
    • Introducing Collaboration for PostHog
    • Introducing Data Management for PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • Group Analytics is now available in PostHog
    • You can now reverse ETL into PostHog with Hightouch
    • How we’re making PostHog deployments easier
    • PostHog Launch Week I: A Universe of New Features
    • How we’re improving performance by combining persons and events
    • PostHog teams up with Altinity
    • Introducing PostHog Cloud EU
    • Restack joins the PostHog Marketplace
    • PostHog is now available on Segment!
    • The secrets of PostHog query performance
    • Why we're removing the sessions page
    • Array 1.0.10
    • Array 1.0.11
    • Array 1.0.8
    • Array 1.0.9
    • Array 1.1.0
    • Array 1.11.0
    • Array 1.10.0
    • Array 1.12.0
    • Array 1.13.0
    • Array 1.14.0
    • Array 1.15.0
    • Array 1.16.0
    • Array 1.17.0
    • Array 1.18.0
    • Array 1.2.0
    • Array 1.19.0
    • Array 1.20.0
    • Array 1.22.0
    • Array 1.21.0
    • Array 1.23.0
    • Array 1.24.0
    • Array 1.25.0
    • Array 1.27.0
    • Array 1.28.0
    • Array 1.29.0
    • Array 1.26.0
    • Array 1.3.0
    • Array 1.30.0
    • Array 1.31.0
    • Array 1.32.0
    • Array 1.33.0
    • Array 1.34.0
    • Array 1.35.0: Introducing SAML, world map view and new plugins
    • Array 1.37.0: Cohorts 2.0 and event & property detail pages
    • Array 1.36.0: Introducing AND/OR filtering, timezone support and universal search
    • Array 1.38.0: Exports, subscriptions and session analysis
    • Array 1.39.0: Betas, persons, events and libraries
    • Array 1.4.0
    • Array 1.40.0: Interface improvements and more!
    • Array 1.42.0: Get beta features via our roadmap!
    • Array 1.5.0
    • Array 1.41.0: Improving performance by up to 400%
    • Array 1.6.0
    • Array 1.7.0
    • Array 1.8.0
    • Array 1.9.0
    • Array 1.0.0
    • The state of plugins on PostHog
  • Release notes
    • Introducing the Avo Inspector app
    • How we’re improving performance by combining persons and events
    • Array 1.0.10
    • Array 1.0.11
    • Array 1.0.8
    • Array 1.0.9
    • Array 1.1.0
    • Array 1.11.0
    • Array 1.10.0
    • Array 1.12.0
    • Array 1.13.0
    • Array 1.14.0
    • Array 1.15.0
    • Array 1.16.0
    • Array 1.17.0
    • Array 1.18.0
    • Array 1.2.0
    • Array 1.19.0
    • Array 1.20.0
    • Array 1.22.0
    • Array 1.21.0
    • Array 1.23.0
    • Array 1.24.0
    • Array 1.25.0
    • Array 1.27.0
    • Array 1.28.0
    • Array 1.29.0
    • Array 1.26.0
    • Array 1.3.0
    • Array 1.30.0
    • Array 1.31.0
    • Array 1.32.0
    • Array 1.33.0
    • Array 1.34.0
    • Array 1.35.0: Introducing SAML, world map view and new plugins
    • Array 1.37.0: Cohorts 2.0 and event & property detail pages
    • Array 1.36.0: Introducing AND/OR filtering, timezone support and universal search
    • Array 1.38.0: Exports, subscriptions and session analysis
    • Array 1.39.0: Betas, persons, events and libraries
    • Array 1.4.0
    • Array 1.40.0: Interface improvements and more!
    • Array 1.42.0: Get beta features via our roadmap!
    • Array 1.5.0
    • Array 1.41.0: Improving performance by up to 400%
    • Array 1.6.0
    • Array 1.7.0
    • Array 1.8.0
    • Array 1.9.0
    • Array 1.0.0
  • Startups
    • A non-coder's thoughts on an 'Everybody Codes' culture
    • How we found our Ideal Customer Profile
    • Creating an employee-friendly startup share option scheme
    • How to get the first 10 paying customers for your devtool company (and other customer acquisition tips)
    • How to run a transparent startup
    • Building an open source data science publishing platform - An interview with Datapane CEO, Leo Anthias
    • How we made something people want
    • How we monetized our open source devtool
    • Should open source projects track you?
    • An engineer's guide to picking a cofounder
    • How to plan a killer company offsite in just 8 weeks
    • What we learned about hiring from our first five employees
    • How we rebranded PostHog in four weeks - a postmortem
    • Product engineer vs software engineer: what's the difference?
    • What's the true role of a product team at an engineering-led organization?
    • Why you may not need a sales team
    • Don’t bother securing your trademarks in the beginning
    • Building an all-remote company from scratch
    • All the cool things we built at our Rome hackathon
    • Content marketing strategy for devtool companies - How we do it at PostHog
    • Why open-source projects are essential for large businesses
    • How to run finance at your startup without hiring a finance person
    • How to choose job titles in your early stage startup
    • Startups, stop treating engineers like a different species
    • The ops toolkit for early-stage startups
    • How to turn your engineers into product people
    • Raising money is less stressful than bootstrapping
    • What is a product engineer (and why they're awesome)
    • Writing for developers
    • Reflecting on YC, 2 years on
  • Using PostHog
    • 5 essential tips for Customer Success teams on PostHog
    • 5 analytics ideas for marketing teams using PostHog
    • 5 essential PostHog apps for new users
    • 5 events all teams should track with PostHog
    • Permissions and projects in PostHog, explained
    • How (and why) our marketing team uses PostHog
    • How (and why) to track your website with PostHog
    • What is SSO and why you should enable it for PostHog
  • Home
  • CEO diaries
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • Tell me about features, not benefits
    • The magic of a Hacker News Pre-Mortem
    • How to run a transparent startup
    • How we justified quitting our jobs and financing PostHog early on
    • How we made something people want
    • Moving to San Francisco
    • Pivot to PostHog
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • How we raised $3M for an open source project
    • A story about pivots
    • The YC Interview
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Writing for developers
    • Reflecting on YC, 2 years on
  • Company & culture
    • How we do meetings at PostHog
  • Comparisons
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Why I ditched Google Analytics and Mixpanel for PostHog
  • Engineering
    • Enabling zero downtime data migrations for self-hosted users
    • Automating a software company with GitHub Actions
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Setting up super fast Cypress tests on GitHub Actions
    • How I learned to love feedback loops (and make better products)
    • Frontend filters & backend SQL - A chat with Eric Duong, Sam Winslow, James Greenhill, and Buddy Williams
    • PostHog Joins Hacktoberfest 2020
    • How PostHog built an app server (from MVP to billions of events)
    • How we’re making PostHog deployments easier
    • Solving the mystery of PostHog’s missing session recordings
    • I used to think you don't need product people. I was wrong.
    • The secrets of PostHog query performance
    • Benchmarking the impact of session recording on performance
    • The state of plugins on PostHog
    • We ship whenever
  • General
    • Setting up super fast Cypress tests on GitHub Actions
    • How we designed the PostHog mascot
    • Why you may not need a sales team
    • A story about pivots
  • Guides
    • Introduction to self-service analytics
    • Building an AARRR pirate funnel (how and why)
    • 5 essential tips for Customer Success teams on PostHog
    • 5 analytics ideas for marketing teams using PostHog
    • Automating a software company with GitHub Actions
    • The most useful B2B SaaS product metrics
    • The 7 best GDPR-compliant analytics tools
    • The best HIPAA-compliant A/B testing tools
    • The 5 best free and open-source A/B testing tools
    • The 4 best HIPAA-compliant analytics tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • The two ways to estimate your monthly event usage
    • How to speed up ClickHouse queries using materialized columns
    • In-depth: ClickHouse vs PostgreSQL
    • Google is about to make it a lot harder to track website and app users without third-party cookies
    • Setting up super fast Cypress tests on GitHub Actions
    • 5 essential PostHog apps for new users
    • 5 events all teams should track with PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How to get the first 10 paying customers for your devtool company (and other customer acquisition tips)
    • The best GA4 alternatives for apps and websites
    • How to harness the awesome power of growth loops
    • What is user segmentation?
    • How to measure product engagement
    • How to achieve B2B product market fit
    • How to work out what your users really need
    • How we do hiring & HR at PostHog
    • How we turned ClickHouse into our event mansion
    • An introduction to customer retention
    • Is Google Analytics HIPAA compliant?
    • Finding your North Star metric and why it matters
    • How we monetized our open source devtool
    • Building an open source data stack
    • How to plan a killer company offsite in just 8 weeks
    • Permissions and projects in PostHog, explained
    • How (and why) our marketing team uses PostHog
    • PostHog vs Matomo
    • PostHog vs Amplitude
    • Product engineer vs software engineer: what's the difference?
    • Don’t bother securing your trademarks in the beginning
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • The ops toolkit for early-stage startups
    • How (and why) to track your website with PostHog
    • 22 ways PostHog makes it easier to build great products
    • What is a product engineer (and why they're awesome)
    • A simple guide to personal data and PII
    • An introduction to product analytics and how it works
    • What is SSO and why you should enable it for PostHog
    • The 3 critical reasons companies choose self-hosted analytics
  • HogMail
    • HogMail #14
    • HogMail #15
    • HogMail #16
    • HogMail #17: The personal traits that can't be taught
    • HogMail #18: What can SaaS learn from the New York Times?
  • Inside PostHog
    • PostHog raises $15 million Series B for open source product analytics
    • A non-coders thoughts on ‘Everybody Codes’ - Part Two
    • A non-coder's thoughts on an 'Everybody Codes' culture
    • After the HN launch
    • Remote companies can be too asynchronous
    • The time before YC
    • How PostHog uses Wren to offset carbon emissions during offsites
    • Winning from the back - late mover advantage
    • Optimize for not breaking up with your co-founder
    • Cancer and revenue - the latest board meeting
    • "How come your website is so nice?"
    • Things I learned last year
    • Our new objective: Nail Self Serve
    • How we found our Ideal Customer Profile
    • How we do customer support at our open source devtool company
    • The importance of dogfooding - Why product managers should use their product as much as their users
    • How we designed the PostHog mascot
    • Using Gatsby and Puppeteer to create dynamic Open Graph images
    • Creating an employee-friendly startup share option scheme
    • Tell me about features, not benefits
    • How I learned to love feedback loops (and make better products)
    • The magic of a Hacker News Pre-Mortem
    • HostHogs - free drinks, free pizza and frequently asked questions
    • How to run a transparent startup
    • How we do hiring & HR at PostHog
    • How PostHog built an app server (from MVP to billions of events)
    • How we turned ClickHouse into our event mansion
    • How we justified quitting our jobs and financing PostHog early on
    • Introducing Phil Leggetter, our new head of Developer Relations
    • Using Google Analytics was deemed 'illegal' in some EU countries. We built a microsite in 48 hours to capitalize on the news.
    • Introducing Joe Martin - Our first Product Marketer
    • How we made something people want
    • How we do meetings at PostHog
    • Solving the mystery of PostHog’s missing session recordings
    • Moving to San Francisco
    • How PostHog's new VP focused the company on nailing funnels in his first week
    • An engineer's guide to picking a cofounder
    • Pivot to PostHog
    • How to plan a killer company offsite in just 8 weeks
    • PostHog raises $12 million in funding led by GV and Y Combinator
    • What we learned about hiring from our first five employees
    • How (and why) our marketing team uses PostHog
    • How we rebranded PostHog in four weeks - a postmortem
    • Counterintuitive lessons about our pricing
    • I used to think you don't need product people. I was wrong.
    • What's the true role of a product team at an engineering-led organization?
    • Building an all-remote company from scratch
    • How we raised $3M for an open source project
    • All the cool things we built at our Rome hackathon
    • Content marketing strategy for devtool companies - How we do it at PostHog
    • How to seed, grow, and scale Developer Relations (and how we're doing it at PostHog)
    • Benchmarking the impact of session recording on performance
    • Speeding up PostHog builds with Depot
    • How to run finance at your startup without hiring a finance person
    • How to choose job titles in your early stage startup
    • Startups, stop treating engineers like a different species
    • The ops toolkit for early-stage startups
    • A story about pivots
    • The YC Interview
    • Why we ditched ‘talk to sales’ for transparent pricing
    • Raising money is less stressful than bootstrapping
    • What motivates me as a CEO
    • The really important job interview questions engineers should ask (but don't)
    • Why I ditched Google Analytics and Mixpanel for PostHog
    • Why infrastructure is a competitive advantage for us
    • Why we raised a $15m Series B ahead of schedule
    • Writing for developers
    • Reflecting on YC, 2 years on
    • YC adds PostHog to top valued companies for July 2021
  • Launch week
    • Introducing Collaboration for PostHog
    • Introducing Data Management for PostHog
    • What launching Experimentation taught us about running effective A/B tests
    • How we’re making PostHog deployments easier
    • PostHog Launch Week I: A Universe of New Features
    • The secrets of PostHog query performance
  • Open source
    • The Early Days of GitLab - A Chat with Sid Sijbrandij
    • The 5 best free and open-source A/B testing tools
    • The 6 best free and open-source feature flag tools
    • The best open-source analytics and data tools
    • Open source (and self-hosted) alternatives to Hotjar & FullStory
    • How we do customer support at our open source devtool company
    • How I learned to love feedback loops (and make better products)
    • PostHog Joins Hacktoberfest 2020
    • Give Back Friday with PostHog
    • Building an open source data science publishing platform - An interview with Datapane CEO, Leo Anthias
    • How we monetized our open source devtool
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A story about pivots

PostHog has pivoted a lot.

After 5 pivots in 6 months, we got into Y Combinator last year, pivoted again whilst we were there and have now gone from the first commit to thousands of deployments, a team across 10 countries and $12M raised, in well under a year. We've a long way to go, but we're delighted at how it has gone so far.

This is that story and what we learned from it.

You'll feel silly

It goes something like this:

  1. Convince yourself then your family, friends and colleagues you have some great idea.
  2. Quit your job.
  3. Build it. Listen to the soundtrack from The Social Network way too much.
  4. Everyone thinks your thing is terrible. Hopefully you realize.

The nature of a startup is that you have to talk to users. Or so we've heard.

My sole focus for weeks on end was just to get meetings with people that we felt may have the same problem we were trying to solve.

It got good eventually, right?

In 9 months, we built 6 products and did more than 100 meetings with potential users.

The range of ideas we tried to solve looks broad, but the thing that connected all of them was that we tackled problems we'd experienced in our previous professional lives.

So, what did we build?

1. Sales Territory Management Tool

At one stage in my life, I was the VP of Sales at an enterprise software company. On paper, it looked like a glamorous job - I used to fly around the world with the sales team, and met with huge enterprise clients in fancy skyscrapers, like the ICC in Hong Kong:

International Commerce Center - a big skyscraper in Hong Kong

Despite this, the majority of your time in sales is spent getting nowhere. All those hotels, flights, calls, fastidiously wearing a suit in inappropriately warm weather - very few of those things result in anything.

Sidenote: this is why product led growth is so much better.

If you're not getting anywhere with a potential customer after a few weeks or months of trying, your time is better spent elsewhere. Yet systems that are the core products of $17.1Bn revenue companies come with a manually selected arbitrary number for the percentage probability that doesn't vary with time.

We pulled pipeline data from Hubspot or Salesforce, then used predictive analytics to work out how this curve looked based on historic data, then applied it to the current pipeline. Once a deal dropped below a certain threshold, we'd recommend you swap out that target company and pull a new one into the pipeline.

We confused a lot of people with this idea, because we were confused with whom we were targeting.

We got 15 sales leaders to agree to trying this out, sent them a link, then waited...

and waited...

just one person even clicked the sign up link. The rest didn't even try it.

With hindsight, it was way overpowered for tiny teams and we'd only have had a great fit for huge ones with a lot of data.

The only people interested in smaller teams were enthusiasts, but there wasn't an easy jump from that to a bigger market. We could have just worked on selling the product to big companies, but that would be tough.

2. CRM with Predictive Analytics

One of our friends who ran a small sales team was a clear outlier. He had been using our first product a lot. We asked ourselves - why?

He had used it to replace his CRM.

Could we just do the whole lot in one place, and reimagine the CRM - would that make things feel simpler?

We positioned the product as a CRM for small companies, with predictive analytics for an even simpler experience managing everything. We tweaked the functionality to have more control over deals and contacts.

It suddenly got really hard to get anyone to talk to us.

There are many lightweight CRMs out there, and predictive analytics make more sense for those with more data, not startups with hardly any.

This was around the time that Superhuman was getting pretty popular; we got overexcited, and kept using words like "blazing", "gorgeous", "brilliant". I blame too much time wasted reading VC Twitter.

We didn't think through who we were building for. The market we were working on was very busy, so if I went back in time, I would have focused more on our differentiation - a product could make more sense than a platform. Tim and I also just weren't strong enough at design to differentiate on that alone.

After hundreds of messages to potential users, we eventually got a single customer for $20/month, who then didn't actually pay the invoice. If you're pushing this hard and getting nowhere, you don't have the magic of product market fit.

3. 1:1 Tool with Predictive Analytics

Back to basics - what was the actual problem we were solving?

It was the prioritization of where to focus your sales efforts. If 90% of your sales deals won't close, you need to get good at not spending time on those that aren't going to close.

Andrew Grove has an excellent book, High Output Management. The premise is that your 1:1 meetings with your direct reports are your most leveraged time.

Yet, many managers in practice don't prepare, at all.

A team that look a little bit like their happiness is staged

We changed the UX completely, and made an app that looked a bit like google docs, where you and your reports could each create an agenda in advance and take notes. The twist? The product would interpret your sales pipeline and would use predictive analytics to suggest specific deals to discuss that could be worth replacing or that had changed dramatically since the previous week.

We managed to get lots of meetings easily with this idea, and everyone reported not preparing to the standard they wanted. Did we have a silver bullet?

Despite giving out logins, only one team out of around 10 started using the tool.

We were flumoxed. This tool was simple, people were excited, but no one used it.

For those that haven't read it, The Mom Test, which I wish I'd read sooner, explains our downfall here perfectly:

If they haven't solved the problem, ask why not.
Have they tried searching for solutions and found them wanting?
Or do they not even care enough to have Googled for it?
Rule of thumb: Anything involving the future is an over-optimistic lie.

If we'd have asked this question, we'd have saved a couple more weeks.

By this stage, we were thinking we just wanted to work with people that would at least try our stuff. These pesky heads of sales were just too capricious and we needed a break.

Software engineers, surely they'd be more willing to try something that we built. We moved on to a different idea we'd had. Voilà:

4. Technical Debt Monitoring Tool using Surveys after each Pull Request

We'd seen the impact of technical debt not being paid off at the right rate in our past, and had the perspective that automation isn't key to solving it. We believed that engineers knew when it was worth tackling.

I spoke with every developer or engineering leader I'd ever worked with, and many I hadn't. They all said this problem was a huge pain point.

So we built a survey tool that integrated with git repositories. After each pull request, it would ask the developer to answer a few quick questions - did anything slow them down, what type of problem was it, and roughly how much time was wasted. The tool would then visualize the code base against time lost to help surface where to start.

We got quite a lot of users, and we got into Y Combinator with this idea. Three weeks into the batch, we had reached 600 users, with a 50% response rate to the surveys.

We had started trying to charge people for the product. But we kept getting feedback that although it was a nice way to log issues, it just wasn't helping solve the problem. A few teams converted at very low order values with a lot of pushing, but it was clear we had a problem.

It turns out everyone has problems with technical debt, but solving it involves changing how teams prioritize. Product teams weren't using the tool, and they were often dictating what people built.

After a meetup with our YC friends at a cool food truck spot, we took a long walk back to our house in Castro. We were thinking about how to solve our product woes. Could it turn into a piece of roadmapping software? Would it need to integrate with the roadmap software already in use? We just didn't feel excited about building these things out.

James and Tim at a group ycombinator meetup about to walk home

A couple of days later, driving between Mountain View and San Francisco, we realized that we just weren't the right people to run this business.

Although Tim had struggled with technical debt first hand, neither of us had solved it. If one of us had managed an engineering team before, we'd have perhaps been better placed to understand things. Our basic skills were good enough to get quite far with the idea, but we didn't have the belief to take it further.

Along the way, we learned a lot about how developers and product managers work together. We'd also created a big list of future ideas we'd had whilst building all the above things out. If you can't stop thinking of other ideas, you probably are building something you don't like. This all came into play for idea 6 later on (the good one).

So what did we do next?

5. Engineering Retention Tool using Surveys after each Pull Request

Those fickle engineers joining companies and leaving them whenever they want to ;)

This idea didn't come from us, which doomed it before it even really started.

This lasted all of 5 days. We had a bunch of meetings left over from (4) to validate it. Amusingly we had to do a Y Combinator demo day dry run for this in front of 500 people who made up the YC batch.

We had a wildly unenthusiastic response from prospective users. The lowlight was during one of the meetings that we resorted to asking the CTO of an 80 person start up what his biggest problem was, "I've not really got any". Noice, noice.

from Andy Samberg GIFs

6. Open Source Product Analytics Platform

Things got meta.

Along our journey (/series of failed ideas), we got frustrated having to send all our user data to 3rd parties to understand our product usage. It felt wrong and it meant we'd lose a bunch of user data that would have been quite useful.

So we built PostHog.

There were a load of features we wanted conceptually - but it was when we realized that the strategy was being open source first and foremost that we felt more excited than we ever had before. When that clicked, we knew we'd just fallen in love with this idea.

We started building on January 23rd, 2020.

When did we know this idea was right?

When we saw real life actual people on the internet start using our thing, without us having to manually get them to do so.

Even better was seeing a community starting to appear. We got our first ever issue from someone else on February 15th, and our first community discussion on the 23rd. This started to spiral. We now get a stream of issues every day in our PostHog Users Slack or the repo.

Growth suddenly went from being the hardest part of what we were doing, to being quite easy - we started getting swamped with product work. The problem was keeping up rather than getting something to happen.

The rest is history.

What you can learn from this

###Local versus global maxima

The hardest pivot to make was when we had the most traction. For us, that was dropping our technical debt tool.

It's easy to imagine a world where we just about scraped by with the tool, raised a small seed round from oversubscribed investors, and we'd still be struggling with something we weren't enjoying working on.

It was obvious our existing product wasn't working because our users told us as such. We had run out of ideas without starting the product from scratch, and we just didn't want to.

Ultimately, Tim and I realized we weren't the right people to be solving this problem.

###Thinking we wanted to change course, but not thinking about it enough

We pivoted so much we developed a knack for building an MVP and a new website in a single, glorious, all nighter and getting meetings by the first day to show it to people. That felt like progress, but in reality was just a bit dangerous. Similarly to how a child could operate a car.

We implemented an important rule:

  1. If you decide to pivot, you have to wait at least until the next day to do it.

We inclined to pivot very frequently, whereas it's more typical for people to not want to do so until way too late. Know where you sit on this line. We had to add a small delay so we weren't acting impulsively.

This is normally the other way around - people don't start over soon enough. During Y Combinator, we saw companies say they were pivoting almost every time we saw them, but without having built and tested their new thing. Those companies had a really tough time by the end of the batch.

I'm now glad we were so decisive.

##Experts are just that

A meeting with the right person when you're at a literally pivotal moment can help you avoid a mistake that could cost you weeks, months or years of your life and your team's lives.

For the pivot to open source product analytics, there were a few things that speaking to experts helped us clear up:

  • We spoke to a couple of people who weren't industry insiders, but with very significant experience working with a broad range of startups. This helped us realize that open source was the strategy, and all the features we wanted were just that.
  • We met with a bunch of founders of huge open source companies. This gave us a very opinionated stance on where to focus. Coming from a SaaS background, giving so much away so freely felt counterintuitive, but it's why our launch went well.

People like this can be pretty friendly even if you don't know them and don't have a friendly introduction, if you're respectful of their time. Meaning, you've done your research, you're clearly at a major inflection point, and you're not trying to get a sale or investment from them. The latter just kind of happens naturally later on, but it wouldn't if we were exclusively interested in it.

It was remarkable how often we got a different view meeting people than just reading about their companies online.

They'd explain why they went in a certain direction, or how they lost a bunch of time and money themselves doing the wrong thing. Don't just rely on the insanely-impressive growth studies you read about online.

You learn more by doing than getting advice, but sprinkling an intensive period of it in at such a key moment is important.

Don't be scared to build

We continuously built products and recruited users onto something real. What people did and what we thought they'd do often diverged. Jason Fried goes so far as to say you can't validate something that doesn't exist. The key is to not get scared about just building the thing you're talking about - Tim often only spent a week building things out, and during this time I was busy booking lots of meetings and finding potential users.

You must be quick to do this. Others we heard of during the batch intended on spending months building their new idea out. That idea is a lot more frightening than starting with some throwaway code. Getting some production use, even if embarrassingly early, is important to know if your concept is a compelling enough one that early users are willing to put up with some pain to try to solve the problem you're tackling.

Have a user in mind

We didn't think about the users or companies we were building for. This is easy to over-think, but just a few hours of thought could have cut down the number of times we pivoted.

We focused on things we wanted ourselves, which was good, but some of those ideas just didn't apply to anyone else.

Let's end on an overused quote

Hey, at least we didn't scatter this article with emojis.

"The people who are crazy enough to think they can change the world, are the ones who do." - Steve Jobs

You're going to look pretty crazy if you pivot. That's because most people are used to working on a career where they steadily build in a certain direction. Startups involve a lot of zig zagging.

We stopped working on several ideas that probably could have worked out, if we'd been willing to persist and to keep tweaking them. This makes us look non committal, but - as with anything - you learn a lot by doing; we knew we'd find something good but weren't done searching until the 6th idea.

Those very early decisions are the most leveraged you will ever take for your startup. Whatever you stick with may well be the thing you do for the next 10 years, and the stronger product market fit you can find early on, the easier everything else will be later. It's a lot easier to sell something that people want.

It turns out that PostHog has been about building something people want, that we also wanted to work on. If you're reading this article and having a tough time working out if you should pivot, drop us an email.

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Jan 21, 2021

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  • 1. Sales Territory Management Tool
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  • 5. Engineering Retention Tool using Surveys after each Pull Request
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