From skeptic to true believer: How OpenClaw changed my life | Claire Vo
Claire Vo is the host of our sister podcast, “How I AI,” a former product executive and engineer, and founder of an AI startup called ChatPRD. Claire now runs her business, podcast, and family life with the help of nine OpenClaw agents running on multiple Mac Minis and old laptops. In this episode, Claire shares her journey from OpenClaw skeptic (it deleted her family calendar the first time she tried it) to true believer, and gives a masterclass in using AI agents in real life.
We discuss:
1. The exact step-by-step process to install and set up OpenClaw (it’s easier than you think)
2. How to avoid the biggest OpenClaw mistakes (don’t install it on your main computer)
3. Actual use cases that have changed Claire’s life (e.g. family scheduling, inbound sales, podcast prep, and course management)
4. Why multiple specialized agents beat one general-purpose agent
5. The security risks everyone worries about—and how to handle them
6. Browser limitations, memory issues, and practical workarounds
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Brought to you by:
Mercury—Radically different banking
Omni—AI analytics your customers can trust
Orkes—The enterprise platform for reliable applications and agentic workflows
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Where to find Claire Vo:
• X: https://x.com/clairevo
• LinkedIn: https://www.linkedin.com/in/clairevo
• Podcast: https://www.youtube.com/@howiaipodcast
• Website: https://clairevo.com
• ChatPRD: https://www.chatprd.ai
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Where to find Lenny:
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/
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In this episode, we cover:
(00:00) Introduction to Claire and OpenClaw
(08:00) The journey from OpenClaw skeptic to believer
(11:50) What OpenClaw actually does that’s useful
(13:35) OpenClaw vs. other AI agent products
(17:05) How to actually install OpenClaw: the basics
(18:49) Setting up like you’d onboard a real assistant
(20:41) Security and privacy considerations
(24:53) Live demo: Installing OpenClaw step-by-step
(28:47) Setting up Q: an agent for her kids’ homework
(34:08) Understanding “soul,” “identity,” and “memory”
(40:40) The unlock: multiple agents, not just one
(45:02) How to run multiple agents on one machine
(47:28) Jesse Genet’s homeschooling use case
(49:58) Real examples and use cases
(56:41) Finn, Claire’s family agent
(1:00:05) Sage the Course Bot
(1:02:15) Common issues and workarounds
(1:08:08) The Exa/Perplexity web search workaround
(1:09:29) Memory management and context overload
(1:12:09) Pro tip: Screen sharing to manage Mac Minis
(1:14:18) Using Google Workspace for agent collaboration
(1:16:24) What makes OpenClaw special
(1:20:15) The “yappers API” and ramble mode
(1:22:04) Using Claude Code as your OpenClaw brain surgeon
(1:25:16) Bringing management skills to AI agents
(1:29:32) Why this matters
(1:32:37) Lightning round and final thoughts
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Referenced:
• OpenClaw: https://openclaw.ai
• Claude Cowork: https://claude.com/product/cowork
• Fry’s Electronics: https://en.wikipedia.org/wiki/Fry%27s_Electronics
• Peter Steinberger on LinkedIn: https://www.linkedin.com/in/steipete
• Telegram: https://telegram.org
• WhatsApp: https://www.whatsapp.com
• Fin: https://fin.ai
• Why OpenClaw feels alive even though it’s not (this AI has a heartbeat but not a brain): https://x.com/clairevo/status/2017741569521271175
• 5 OpenClaw agents run my home, finances, and code | Jesse Genet: https://www.youtube.com/watch?v=96Vl8s3EQhk
• Executive Playbook for AI in Engineering, Product, and Design: https://maven.com/clairevo/ai-native-epd-org
• Zach Davis on LinkedIn: https://www.linkedin.com/in/zach-m-davis/
• ChatGPT Atlas: https://chatgpt.com/atlas
• Perplexity Comet: https://www.perplexity.ai/comet
• Browser (OpenClaw-managed): https://docs.openclaw.ai/tools/browser
• Buffer: https://buffer.com
• Brave: https://brave.com/search/api/
• Exa: https://exa.ai
• Hilary Gridley on X: https://x.com/yourgirlhils
• How to become a supermanager with AI: https://www.lennysnewsletter.com/p/how-to-become-a-supermanager-with
• How custom GPTs can make you a better manager | Hilary Gridley (Head of Core Product at Whoop): https://www.youtube.com/watch?v=xDMkkOC-EhI
• How to debug a team that isn’t working: the Waterline Model: https://www.lennysnewsletter.com/p/how-to-debug-a-team-that-isnt-working
• Jensen Huang on LinkedIn: https://www.linkedin.com/in/jenhsunhuang
• How I built a 1M+ subscriber newsletter and top 10 tech podcast | Lenny Rachitsky: https://www.lennysnewsletter.com/p/how-i-built-a-1m-subscriber-newsletter
• Age of Attraction on Netflix: https://www.netflix.com/title/81779095
• Oura Ring: https://ouraring.com/
• Eight Sleep: https://www.eightsleep.com
• Hoopsalytics: https://hoopsalytics.com
• DJI Osmo smartphone gimbal: https://www.amazon.com/DJI-Stabilizer-Tracking-Extension-Stabilization/dp/B0FJ2L67HJ?ref_=ast_sto_dp
• Silent basketball: https://www.amazon.com/Rzkipdy-Silent-Basketball-Size-27-5/dp/B0FHFSQWPP/ref=sr_1_9
• Marc Andreessen: The real AI boom hasn’t even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom
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Recommended books:
• Treasure Island: https://www.amazon.com/Treasure-Island-Robert-Louis-Stevenson/dp/1505297400
• Alice’s Adventures in Wonderland: https://www.amazon.com/Alices-Adventures-Wonderland-Illustrated-Illustrations/dp/991673268X
• Charts for Babies: A Picture Book: https://www.amazon.com/Charts-Babies-Picture-Book/dp/1419785184
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Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.
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Lenny may be an investor in the companies discussed.
To hear more, visit www.lennysnewsletter.com
The most dangerous shortcuts in software
Ryan sits down with Tom Totenberg, head of release automation at LaunchDarkly, to discuss the perils of taking too many shortcuts in software development, how business pressures and AI code tools have contributed to dangerous corner cutting, and the importance of balancing speed with sustainability to maintain system integrity.
Episode notes:
LaunchDarkly is a feature management and experimentation platform that allows you to decouple software feature rollouts from code deployment so you can manage features safely and securely.
Connect with Tom on Linkedin.
This episode’s shoutout goes to user Boris Gorelik, who won a Great Question badge for asking Removing handlers from python's logging loggers.
TRANSCRIPT
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Announcing a brand-new podcast: “How I AI” with Claire Vo 🔥
AI is rapidly changing how we live and work. It’s exciting, but also overwhelming. If you’re struggling to keep up, and wondering how to actually use these magical new tools to improve the quality and efficiency of your work, I’m thrilled to introduce How I AI with Claire Vo—the first ever new podcast under the Lenny’s Podcast network. Claire is an engineer, three-time CPO, and AI builder. In each episode, her guest shows you a specific, practical, and impactful way they’ve learned to use AI. Forget theoretical debates—this podcast is about real, valuable use cases. Expect 30-minute episodes, live demos, and tips/tricks/workflows you can implement immediately. Whether you’re building products, leading teams, or just looking to level up your AI skills, How I AI is for you.
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SUBSCRIBE TO THE SHOW
→ YouTube: https://www.youtube.com/channel/UCRYY7IEbkHLH_ScJCu9eWDQ
→ Spotify: https://open.spotify.com/show/4aRP2XSavdtrLG5FZoonOK
→ Apple: https://podcasts.apple.com/us/podcast/how-i-ai/id1809663079
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe
Bending the universe in your favor | Claire Vo (LaunchDarkly, Color, Optimizely, ChatPRD)
Claire Vo is the chief product officer at LaunchDarkly and the founder of ChatPRD, likely the most popular PM-specific AI product out there. Before LaunchDarkly, she was a longtime chief product officer at Color and Optimizely. Claire has founded and managed two other companies, Pretty HQ and Experiment Engine, the latter of which Optimizely acquired in 2017. In our conversation, we discuss:
• Knowing what you want in your career and being clear about it
• Finding your zone of genius and how to operate within it
• How to maintain a fast pace in larger companies
• How to make it easy for your boss to help you achieve your goals
• Advice for navigating the tech industry as a woman
• The role of a CPTO and the benefits it brings to organizations
• Why she built ChatPRD
• Tips for building your own AI tools
• The impact of AI on product management and what skills will continue to be important
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Brought to you by:
• Orb—The flexible billing engine for modern pricing
• Dovetail—Bring your customer into every decision
• Vanta—Automate compliance. Simplify security
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Find the full transcript at: https://www.lennysnewsletter.com/p/bending-the-universe-in-your-favor
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Where to find Claire Vo:
• X: https://twitter.com/clairevo
• LinkedIn: https://www.linkedin.com/in/clairevo/
• TikTok: https://www.tiktok.com/@chiefproductofficer
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Where to find Lenny:
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/
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In this episode, we cover:
(00:00) Claire’s background
(04:50) How to achieve career progression
(10:11) Avoiding promotion obsession
(13:50) How Claire stepped into leadership roles
(17:24) Operating in your zone of genius
(23:03) How to maintain a fast pace
(27:46) Setting a high bar for quality and talent
(29:54) Normalizing feedback
(33:09) Being a woman in tech
(47:09) The role of a CPTO
(54:19) Building ChatPRD
(59:39) Tips for building a GPT
(01:02:27) The impact of AI on product management
(01:08:08) How AI is changing the product management role
(01:14:36) Efficiency gains with ChatPRD
(01:16:39) Contrarian corner: sales-led product organizations
(01:20:11) Lightning round
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Referenced:
• LaunchDarkly: https://launchdarkly.com/
• Define your zone of genius: Laura Garnett at TEDxMillRiver: https://www.youtube.com/watch?v=gQ7_r2oWlrw
• Energy Audit: https://beta.mocharymethod.com/blog-post/energy-audit
• How to fire people with grace, work through fear, and nurture innovation | Matt Mochary: https://www.lennyspodcast.com/videos/how-to-fire-people-with-grace-work-through-fear-and-nurture-innovation-matt-mochary/
• Radical Candor: From theory to practice with author Kim Scott: https://www.lennyspodcast.com/radical-candor-from-theory-to-practice-with-author-kim-scott/
• Optimizely: https://www.optimizely.com/
• GitLab: https://about.gitlab.com/
• ChatPRD: https://www.chatprd.ai/
• You should be playing with GPTs at work: https://www.lennysnewsletter.com/p/you-should-be-playing-with-gpts-at
• SpaceX’s Starship: https://www.spacex.com/vehicles/starship/
• GitHub Copilot: https://github.com/features/copilot
• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennyspodcast.com/product-management-theater-marty-cagan-silicon-valley-product-group/
• High Growth Handbook: Scaling Startups from 10 to 10,000 People: https://www.amazon.com/High-Growth-Handbook-Elad-Gil/dp/1732265100
• Scaling People: Tactics for Management and Company Building: https://www.amazon.com/Scaling-People-Tactics-Management-Building/dp/1953953212
• Stripe Press: https://press.stripe.com/
• Circe: https://www.amazon.com/Circe-Madeline-Miller/dp/0316556327
• Poor Things: https://www.imdb.com/title/tt14230458/
• Mythic Quest on AppleTV+: https://tv.apple.com/us/show/mythic-quest/umc.cmc.1nfdfd5zlk05fo1bwwetzldy3
• Silicon Valley on HBO: https://www.hbo.com/silicon-valley
• Chrysler Pacifica: https://www.chrysler.com/pacifica.html
• Waymo: https://waymo.com/
—
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.
—
Lenny may be an investor in the companies discussed.
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lennysnewsletter.com/subscribe
SaaStr 668: Top 10 Mistakes Getting to $100M ARR with LaunchDarkly Co-founder and Executive Chair Edith Harbaugh
Learn directly from Edith Harbaugh, Co-founder and Executive Chair of LaunchDarkly, about the top 10 mistakes to avoid when scaling your SaaS company. Edith is an experienced startup executive and has firsthand insights into how to grow any SaaS business quickly and successfully. Don't miss this opportunity to get valuable guidance for scaling to 100 million in ARR!
We'll cover how:
*Everything is up & to the right if you zoom out
Big changes every 6-18 months
Revenue is it's own funding
Hiring changes over time
Value your time and get leverage
A good Exec Recruiter is worth it
Pricing - no right answer
Creating category takes constant effort
Refresh Values
No playbook, just play pages
Watch the video, including Q&A: https://youtu.be/5ccWUwinkJg
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Vention provides technology leaders with the top engineering talent they need to accelerate their roadmap, innovate faster and more efficiently, and ultimately catapult their operation to new heights. Vention developers sync with clients' in-house teams, helping them get to market 30 percent faster and saving them more than $600,000 on average. Looking for the edge to outpace your competition? Vention is your partner. Learn more at ventionteams.com.
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Want to join the SaaStr community? We're the 🌎largest community for B2B software.
Subscribe for weekly updates: https://www.saastr.com/subscribeform
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Quora Group: https://www.quora.com/q/cloud
Facebook: https://www.facebook.com/SaaStr/
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What Are the Next Steps for Feature Flags?
Feature flags, the toggles in software development that allow you to turn certain features on or off for certain customers or audiences, offer release management at scale, according to Karishma Irani, head of product at LaunchDarkly.
But they also help unleash innovation, as she told host Heather Joslyn of The New Stack in this episode of The New Stack Makers podcast. And that points the way to a future where the potential for easy testing can inspire new features and products, Irani said.
“We've observed that when the risk of releasing something is lowered, when the risk of introducing bugs in production or breaking, something is reduced, is lowered, our customers feel organically motivated to be more innovative and think about new ideas and take risks,” she said.
Feature Flags are not Just for Devs
The story goes something like this:
There's this marketing manager who is trying to time a launch. She asks the developer team when the service will be ready. The dev team says maybe a few months. Let's say three months from now in April. The marketing manager begins prepping for the release.
The dev team releases the services the following week.
It's not an uncommon occurrence.
Edith Harbaugh is the co-founder and CEO of LaunchDarkly, a company she launched in 2014 with John Kodumal to solve these problems with software releases that affect organizations worldwide. Today, LaunchDarkly has 4,000 customers and an annual return revenue rate of $100 million.
We interviewed Harbaugh for our Tech Founder Odyssey series on The New Stack Makers about her journey and LaunchDarkly's work. The interview starts with this question about the timing of dev releases and the relationship between developers and other constituencies, particularly the marketing organization.
LaunchDarkly is the number one feature management company, Harbaugh said. "Their mission is to provide services to launch software in a measured, controlled fashion. Harbaugh and Kodumal, CTO, founded the company on the premise that software development and releasing software is arduous.
"You wonder whether you're building the right thing," Harbaugh said, who has worked as both an engineer and a product manager. "Once you get it out to the market, it often is not quite right. And then you just run this huge risk of how do you fix things on the fly."
Feature flagging was a technique that a lot of software companies did. Harbaugh worked at Tripit, a travel service, where they used feature flags as did companies such as Atlassian, where Kodumal had developed software.
"So the kernel of LaunchDarkly, when we started in 2014, was to make this technique of feature flagging into a movement called feature management, to allow everybody to build better software faster, in a safer way."
LaunchDarkly allows companies to release features however granular an organization wants, allowing a developer to push a release into production in different pieces at different times, Harbaugh said. So, a marketing organization can send a release out even after the developer team has released it into production.
"So, for example, if, we were running a release, and we wanted somebody from The New Stack to see it first, the marketing person could turn it on just for you."
Harbaugh describes herself as a huge geek. But she also gets it in a rare way for geeks and non-geeks alike. She and Kodumal took a concept used effectively by develops, transforming it into a service that provides feature management for a broader customer base, like the marketer wanting to push releases out in a granular way for a launch on the East Coast that is pre-programmed with feature flags in advance from the company office the previous day in San Francisco.
The idea is novel, but like many intelligent, technical founders, Harbaugh's journey reflects her place today. She's a leader in the space, and a fun person to talk to, so we hope you enjoy this latest episode in our tech founder series from The New Stack Makers.
What LaunchDarkly Learned from 'Eating Its Own Dog Food'
Feature flags — the on/off toggles, written in conditional statements, that allow organizations greater control over the user experience once code has been deployed — are proliferating and growing more complex, and demand robust feature management, said Karishma Irani, head of product at LaunchDarkly, in this episode of The New Stack Makers.
In a November survey by LaunchDarkly, which queried more than 1,000 DevOps professionals, 69% of participants said that feature flags are “must-have, mission-critical and/or high priority” for their organizations.
“Feature management, we believe, is a modern practice that's becoming more and more common with companies that want to deploy more frequently, innovate faster, and just keep a healthy engineering team,” Irani said.
The idea of feature management, Irani said, is to “maximize value while minimizing risk.”
LaunchDarkly uses its own software, she said, and eating its own dog food, as the saying goes, has paid off in gaining insights into user needs.
As part of LaunchDarkly’s virtual conference Trajectory in November, Irani joined Heather Joslyn, features editor of The New Stack, for a wide-ranging conversation about the latest developments in feature management.
This episode of Makers was sponsored by LaunchDarkly.
Automating Approvals
As an example of the benefits of having first-hand knowledge of how their company's products are used, Irani pointed to an internal project in mid-2022.
When the company migrated from [sponsor_inline_mention slug="mongodb" ]MongoDB[/sponsor_inline_mention] to CockroachDB, it used new capabilities in its Feature Workflows product, which allow users to define a workflow that can schedule the gradual release of a feature flag for a future date and time, and automate approval requests.
“All of these async processes around approvals schedules, they're critical to releasing software, but they do slow you down and add more potential for manual error or human error,” Irani said. “And so our goal with Feature Workflows was to essentially automate the entire process of a feature release.”
Overhauling Experimentation
This past June, the company also revised its Experimentation offering, she said. Led by James Frost, LaunchDarkly’s head of experimentation, the team did “a complete overhaul of our stats engine, they enhanced the integration path of our customers’ existing data sets and metrics,” Irani said. “They redesigned our UX and the codified model and experimentation best practices into the product itself.”
For instance, a new metric import API helps prevent the problem of multiple teams or users within a company using different tools for A/B and other experiments. It “significantly cuts down on manual duplicate work when importing metrics for experimentation,” said Irani. “So you can get set up faster.”
Another addition to the Experimentation product is a sample ratio mismatch test, she said, so “you can be confident that all of your experiments are correctly allocating traffic to each variant.”
These innovations, along with new capabilities to the company’s Core Flagging Platform, are in general availability. On the horizon — and now available through LaunchDarkly’s early access program, is Accelerate, which lets users track and visualize key engineering metrics, such as deployment frequency, release frequency, lead time for code changes, and flag coverage.
“I'm sure you've caught on already,” Irani said, “but a few of these are Dora metrics, which obviously are extremely critical to our users.”
Check out the entire episode for more details on what’s new from LaunchDarkly and the problems that innovators in the feature management space still need to solve.
Allowing Aspiration to Lead with Tom Totenberg
About Tom
Tom enjoys being a bridge between people and technology. When he's not thinking about ways to make enterprise demos less boring, Tom enjoys spending time with his wife and dogs, reading, and gaming with friends.
Links Referenced:
LaunchDarkly: https://launchdarkly.com
Heidi Waterhouse Twitter: https://twitter.com/wiredferret
SaaStr 497: Founder Confidential, The Highs, and Lows of Fundraising From Founders That Raised $1B with Coda, Expensify, LaunchDarkly, Boast.Ai and SaaStr
Featuring 3 prominent Founders - from Calendly, Coda and LaunchDarkly - that have achieved scale, at "Founder Confidential" you will hear about the highs and lows of fundraising, working with a VC board, and real talk about what it really is like to be a true Founder.
Moderator: Lloyed Lobo, Co-Founder, Boast.AI
Panelists: Shishir Mehrotra, Cofounder and CEO, Coda Edith Harbaugh, Cofounder and CEO, LaunchDarkly David Barrett, Founder and CEO, Expensify Jason Lemkin, Founder and CEO, SaaStr
Blog post and video: https://www.saastr.com/founder-confidential-saas-fundraising-expensify-launchdarkly-coda-boast-saastr/
Sponsors:
https://www.invoca.com/
https://stripe.com/
https://www.ontheclock.com/
Personalization, the Non-Creepy Way with Heidi Waterhouse
About Heidi
Heidi is a transformation advocate with LaunchDarkly. She delights in working at the intersection of usability, risk reduction, and cutting-edge technology. One of her favorite hobbies is talking to developers about things they already knew but had never thought of that way before. She sews all her presentation shirts so they match the pajama pants.
Links:
LaunchDarkly: https://launchdarkly.com/
Personal website: https://heidiwaterhouse.com
Blog: [https://medium.com/@wiredferret](https://medium.com/@wiredferret)
Twitter: https://twitter.com/wiredferret
Episode 1: Feature Flags with Heidi Waterhouse of LaunchDarkly
This podcast features people doing interesting work in the world of Cloud. What is the state of the technical world? Let’s first focus on the up or down, on or off function of feature flags.
Today, we’re talking to Heidi Waterhouse, a technical writer turned Developer Advocate at LaunchDarkly, which is a feature flag service - a way to wrap a snippet of code around your feature and make it into an instrument to turn on or off. It lets you turn things on and off in your codebase quickly without having to do several commits. However, it is difficult to track it when there are more than about a dozen flags. So, LaunchDarkly provides a way to manage your features at scale with a usable interface and API.
Some of the highlights of the show include:
A feature flag allows you to hide items before you want them to go live on your Website. You hide it behind a feature flag, doing all the work ahead of time. Then, at some point, you turn it all on instantly without the risk of pushing untested code into your production.
You can test at scale to gain authentic data. Test something with your team, your company’s employees, your customers, etc. However, no matter how good your integration tests are, there’s always wobbles to watch for in the system.
With implementation, there are a few paths that can work, such as the massive reorganization path. Or, you can just start incrementally with feature flags for new features.
LaunchDarkly thinks in the Cloud as the surface because it mostly works with people who are doing Web-based delivery of features.
Major companies, like Google and Facebook, offer services similar to feature flags for their own development. They’re operating on such a giant scale that they have internal teams doing it.
Companies use feature flags on the front-end and other purposes. It works through the whole stack from frontend page delivery, pricing tiers, white labeling, style sheets, to safer deployments.
Do not focus on documentation. You should not have to read documentation for anything that you don’t own. Every feature should have documentation tied to its code. Create a customized experience.
Feature flags effectively manage and minimize risk. There is always risk in the world, but what causes disaster is not just one failure. It is a multiplication of failures. This goes wrong and that goes wrong. Feature flagging breaks monolithic releases into tiny chunks that can go forward or backward.
LaunchDarkly holds monthly meet-ups called, Test and Production. People share their use case regarding continuous integration, continuous deployment, DevOps, etc.
Links:
LaunchDarkly
iPad
Autodesk
Slack
IBM
Quotes by Heidi:
“What feature flags do is make it possible for you to push out a deployment with things hidden, we call it launching darkly.”
“We’re all about avoiding risk, I think this is our motto this year, eliminate risk…you can’t eliminate risk, but you can make it much less risky.”
“Go ahead and write your feature. You know that it’s hidden behind the magical feature flying curtain until you’re ready to turn it on.”
“If 20 years of technical writing taught me anything, it’s that nobody wants to be reading documentation.”
.
SaaStr 122: How To Successfully Scale The 1-10 Customer Phase Of Any SaaS Business, The True Signs Of A Great Sales Person & How To Analyse NPS Effectively with Edith Harbaugh, Founder & CEO @ LaunchDarkly
Edith Harbaugh is the Founder & CEO @ LaunchDarkly, the startup that allows you to fearlessly and swiftly release software by separating feature rollout from code deployment. They have raised over $10m in funding from many previous guests of The Twenty Minute VC including Andy McLoughlin @ SoftTech, Josh Stein @ DFJ and the wonderful team at Bloomberg Beta. As for Edith, prior to LaunchDarkly, she was a Director of Product @ Tripit and Concur. Edith also holds two patents in deployment from her time in engineering at Vignette.
In Today's Episode You Will Learn:
How Edith made her way into the world of SaaS and came to found LaunchDarkly?
Does Edith agree with Jason Lemkin that the hardest element is the 1-10 customer phase? How has Edith navigated this process with her differing companies?
How does Edith look to structure her sales team to successfully close Fortune 500 deals? What is the fundamental difference in selling to enterprise rather than SMB?
What can founders do to make NPS a more intelligent metric? How can NPS be analysed effectively to tell you more about the state of your business?
What are the signs of a truly great sales person? How do they aid not only their company but the customer they are serving? What is their required knowledge base?
60 Second SaaStr
What is Edith's fave SaaS resource?
What does Edith know now that she wishes she had known before?
Oakland Office: Why not SF? What are the benefits?
If you would like to find out more about the show and the guests presented, you can follow us on Twitter here:
Jason Lemkin
Harry Stebbings
SaaStr
Edith Harbaugh