Self-Serve SaaS: A Buried CTA Beat a Full Sales Team
A buried CTA deep in the admin panel generated close to six figures in ARR - with zero salespeople, no support, and no marketing. Sameer Al-Sakran spent four years building Metabase without charging a dollar. When he finally monetized through self-serve SaaS, strangers started paying $300/month just to remove a logo. Then he followed expert advice, built enterprise sales, and nearly stalled the business.
Sameer reveals why the self-serve SaaS signal was hiding in plain sight, how expert advice to hire AEs nearly killed product-led growth momentum, and the two-year pricing battle before accepting the per-user model customers actually wanted. His PLG playbook shows why self-serve growth beats fighting your company's DNA.
Metabase is an open-source BI tool used by 70,000+ companies. Sameer grew it to 8-figure ARR by returning to three principles: win the taste test against Tableau, let the product sell itself, and build for self-serve growth over enterprise sales cycles.
🔑 Key Lessons
🚀 Self-serve SaaS beats fighting your DNA: Metabase's team was wired for product-led growth, not enterprise sales. Leaning into self-serve SaaS made the cloud option dwarf direct sales and drive 8-figure ARR.
📉 Expert advice can derail self-serve SaaS momentum: Advisors told Sameer self-serve was naive and pushed the enterprise playbook. He hired AEs, ran sales calls, and nearly stalled the business for years.
🎯 Win the taste test instead of the feature war: Metabase focused on being the tool users wanted to keep after trying it alongside Tableau and Looker back to back. No paid acquisition needed.
💰 Let customers dictate your pricing model: Metabase spent two years trying installation and per-server pricing while customers kept asking for per-user. Accepting their preferred model simplified negotiations and grew PLG revenue.
🛠️ Build something you love before asking strangers to pay: Metabase's team used the product daily and refused to ship until they enjoyed it. If builders don't love it, the self-serve growth motion won't work.
Chapters
Introduction and favorite quote
What Metabase does and who it's for
Revenue, team size, and 70,000 companies
Origin story at Expa startup incubator
Why Metabase waited 4 years to charge
The buried CTA that generated self-serve SaaS revenue
Following expert advice into enterprise sales
Why the enterprise detour stalled growth
Cloud self-service takes off
Competing against Tableau and winning the taste test
Two years of pricing mistakes before per-user pricing
Scaling from 7 figures to 8 figures through PLG
Lightning round
Resources
Full show notes: https://saasclub.io/439
Join 5,000+ SaaS founders: https://saasclub.io/email
How Law Enforcement Tracked Down $3.6 Billion in Bitcoin - Ep.319
On Tuesday, the US government seized $3.6 billion in bitcoin from the 2016 Bitfinex hack and arrested two individuals, Ilya Lichtenstein and Heather Morgan, on charges of money laundering. Tom Robinson, cofounder and chief scientist at the blockchain analytics firm Elliptic, breaks down how law enforcement was able to seize the BTC, what techniques the alleged money launderers used to avoid capture, and who could have pulled off the initial hack. Show highlights:
background on the 2016 Bitfinex hack who was arrested this week and why how the US government gained access to the private keys in Lichtenstein’s and Morgan’s control why AlphaBay, a now-defunct darknet website, was crucial to law enforcement’s effort to track down the stolen Bitfinex funds what money laundering techniques were used to cash out the stolen Bitfinex funds before this week’s arrests whether, as blockchain analytics technology advances, it will always catch up to be able to trace the movements of crypto as its laundered why using Monero, a privacy coin, to cash out stolen funds is a red flag why Tom does not think the two individuals arrested this week for money laundering the stolen Bitfinex funds were the original hackers
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Episode Links
Tom Robinson
LinkedIn: https://www.linkedin.com/in/tomarobinson?originalSubdomain=uk Twitter: https://twitter.com/tomrobin
Information on the Bitfinex hack + arrest:
DOJ Information: https://www.justice.gov/opa/pr/two-arrested-alleged-conspiracy-launder-45-billion-stolen-cryptocurrency https://www.justice.gov/opa/press-release/file/1470211/download Elliptic Coverage: https://www.elliptic.co/blog/elliptic-analysis-new-york-husband-and-wife-arrested-for-laundering-5-billion-in-bitcoin-stolen-from-bitfinex-in-2016 Unchained Coverage: https://unchainedpodcast.com/feds-seize-3-6-billion-in-btc-connected-to-bitfinex-hack/ CoinDesk coverage https://www.coindesk.com/policy/2022/02/08/us-officials-seize-bitcoin-from-2016-bitfinex-hack/ Decrypt: https://decrypt.co/92529/bitfinex-billion-bitcoin-who-keeps-it The Defiant: https://thedefiant.io/bitfinex-leo-surge/ Bitfinex statement: https://www.bitfinex.com/posts/766
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How Widespread Is Money Laundering in Crypto? - Ep.72
Yaya Fanusie, director of analysis at the Center on Sanctions and Illicit Finance at the Foundation for Defense of Democracies, and Tom Robinson, chief data officer and cofounder of blockchain analytics firm Elliptic, discuss how common money laundering is in crypto, how jihadist groups are using it, and how privacy coins (really Monero) affect their work. (The reason why the dark markets haven't much used Zcash surprised me.) We also discuss bad state actors using cryptocurrency, such as Venezuela's efforts with the metro and North Korea's alleged Bitcoin ransomware attacks, and how, leaving aside bad state actors, central bank cryptocurrencies would compete with decentralized ones. Plus, we discuss what impact OFAC blocked addresses list will have.
Thank you to our sponsors!
Preciate: https://preciate.org
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Yaya Fanusie: https://twitter.com/SignCurve
Center on Sanctions and Illicit Finance at the Foundation for Defense of Democracies: http://www.defenddemocracy.org/csif
Tom Robinson: https://twitter.com/tomrobin
Elliptic: http://www.elliptic.co
Yaya and Tom's report on Bitcoin laundering: http://www.defenddemocracy.org/content/uploads/documents/MEMO_Bitcoin_Laundering.pdf
New AML regulations on cryptocurrencies in Europe: https://www.elliptic.co/our-thinking/5th-aml-directive-eu-regulation-cryptocurrency
Money laundering in ICOs: https://www.elliptic.co/our-thinking/ico-risk-why-aml-compliance-matters
Yaya's op-ed on the Venezuelan metro in CoinDesk: https://www.coindesk.com/crypto-investors-stay-away-venezuelas-petro/
Russia's blockchain plans: http://thehill.com/blogs/pundits-blog/technology/346476-blockchain-technology-may-give-russia-its-next-sputnik-moment
What jihadists are doing with crypto assets: https://www.thecipherbrief.com/article/exclusive/international/terrorist-networks-eye-bitcoin-cryptocurrencys-price-rises
https://www.thecipherbrief.com/column/private-sector/the-new-frontier-in-terror-fundraising-bitcoin
Yaya's essay on self-policing in CoinDesk: https://www.coindesk.com/crypto-community-must-use-blockchain-self-police/
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Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29
Summary
Business Intelligence software is often cumbersome and requires specialized knowledge of the tools and data to be able to ask and answer questions about the state of the organization. Metabase is a tool built with the goal of making the act of discovering information and asking questions of an organizations data easy and self-service for non-technical users. In this episode the CEO of Metabase, Sameer Al-Sakran, discusses how and why the project got started, the ways that it can be used to build and share useful reports, some of the useful features planned for future releases, and how to get it set up to start using it in your environment.
Preamble
Hello and welcome to the Data Engineering Podcast, the show about modern data management
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Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.
Your host is Tobias Macey and today I’m interviewing Sameer Al-Sakran about Metabase, a free and open source tool for self service business intelligence
Interview
Introduction
How did you get involved in the area of data management?
The current goal for most companies is to be “data driven”. How would you define that concept?
How does Metabase assist in that endeavor?
What is the ratio of users that take advantage of the GUI query builder as opposed to writing raw SQL?
What level of complexity is possible with the query builder?
What have you found to be the typical use cases for Metabase in the context of an organization?
How do you manage scaling for large or complex queries?
What was the motivation for using Clojure as the language for implementing Metabase?
What is involved in adding support for a new data source?
What are the differentiating features of Metabase that would lead someone to choose it for their organization?
What have been the most challenging aspects of building and growing Metabase, both from a technical and business perspective?
What do you have planned for the future of Metabase?
Contact Info
Sameer
salsakran on GitHub
@sameer_alsakran on Twitter
LinkedIn
Metabase
Website
@metabase on Twitter
metabase on GitHub
Parting Question
From your perspective, what is the biggest gap in the tooling or technology for data management today?
Links
Expa
Metabase
Blackjet
Hadoop
Imeem
Maslow’s Hierarchy of Data Needs
2 Sided Marketplace
Honeycomb Interview
Excel
Tableau
Go-JEK
Clojure
React
Python
Scala
JVM
Redash
How To Lie With Data
Stripe
Braintree Payments
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
Support Data Engineering Podcast
Metabase & open source Business Intelligence (Interview)
Sameer Al-Sakran and Tom Robinson from Metabase joined the show to discuss Metabase - their open source tool that’s laying the foundation of their goals for open source business intelligence.
Join the discussion
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Featuring:
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Show Notes:
Metabase
metabase/metabase
Metabase Discussion
Maslow’s hierarchy of needs - Wikipedia, the free encyclopedia
280 North, Inc. - Wikipedia, the free encyclopedia
Objective-J - Wikipedia, the free encyclopedia
Cappuccino (application development framework) - Wikipedia, the free encyclopedia
AWS | Amazon Redshift - Cloud Data Warehouse Solutions
Justin Dorfman: @metabase looks awesome, can’t wait to try it out. How do you plan to sustain it? Will there be a pro version?
Jeff Dean (computer scientist) - Wikipedia, the free encyclopedia
John Carmack - Wikipedia, the free encyclopedia
TensorFlow
The Changelog #149: React.js, React Native, Flux, Relay, and GraphQL with Facebook
The Changelog #171: Living Clojure, ClojureScript, and more with Carin Meier
Something missing or broken? PRs welcome!