Profitable Founder Podcast

If you are a SaaS founder, read this. I think I found the best way for you to use OpenClaw. You can literally turn your agent into @paulg telling you how to fix your SaaS. The insights I got from it are just insane. TLDR; 1. OpenClaw analyzes your Stripe 2. Tries your onboarding like your ICP 3. Gets Paul Graham's knowledge base 4. Gives you a full report to fix your SaaS 1 - Create a "read only" API on Stripe. Give it to your OpenClaw (or whatever agent you're using right now). Ask it to analyze the full data: - Pricing - Churn - Conversion - LTV - Trial to paid rate - Discount impact - Invoice patterns Ask it to really go deep. Not the surface level. Go into every corner. Check invoices, not only graphs. Look at cohort behavior month by month. Ask it to calculate your real MRR after discounts (not the vanity number Stripe shows you). When I did this, I found so many golden nuggets in my Stripe Data. And the feedbacks from my OpenClaw were already super valuable. But this is not enough. We need the whole context, not just Stripe. 2 - Ask your Agent to try your tool Give it a free coupon for your SaaS and ask it to sign up and follow the onboarding like your ICP (if you didn't yet, define it before you send it on your landing page). It will follow step by step, take screenshots, and tell you what's good, what's not and give you solutions. Ask it to push the feedback on Notion (so you can visualize it). This already will give you enough work for the next month. 3 - Turn your OpenClaw into YC Founder Paul Graham co-founded Y Combinator and invested in Stripe, Airbnb, Dropbox, Reddit. He's written 230 essays on startups over 20 years. It's basically the bible of building companies. Send this link to your OpenClaw and ask it to find anything that could apply to your SaaS and current problems you're facing: paulgraham[.]com/articles.html Your agent will read all of them and pull out what's relevant to YOUR situation. 4 - The cherry on the cake Now ask it to combine all the data it gathered so far: - Stripe analysis - Onboarding feedback - Paul Graham knowledge base And tell it to give you a full analysis and solution for your SaaS and push it to Notion. This is where it gets insane. I got a 9 section report with specific fixes ranked by impact. Not just "improve your onboarding". This took me one afternoon. Imagine how much it would have cost me to get these kind of feedback a few years ago?

This guy made $46,000 in 35 days (with OpenClaw) I honestly hesitated to release this episode with @wickedguro as he shared way too much sauce. - 9 growth hacks he used to go from 0 to $20K/mo - how he tripled his MRR in 35 days (now $66K) - why your SaaS needs to be agentic-first to survive Watch the full episode: linktw.in/swBptW

Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN

This guy built a $1M ARR SaaS in 117 days (he had 16 followers) and now just hit $8M ARR. 100% Bootstrapped. @yasser_elsaid_ is the perfect example that you don't need a personal brand or VCs to make it. You just need these 8 things: Full video: linktw.in/Odnbgc

Just recorded an amazing episode with the legend: → @yasser_elsaid_ We talked about: - Product excellence - Making millions - Distribution - Churn Can't wait to share this one with you (Monday)