During acquisition due diligence, buyers scrutinize every signed agreement for uncapped liability clauses and IP rights transfers, which can torpedo or devalue a deal.
Snapshot · Startups For the Rest of Us
During acquisition due diligence, buyers scrutinize every signed agreement for uncapped liability clauses and IP rights transfers, which can torpedo or devalue a deal.
Where this was said
At 15:10 · chapter starts 14:00
Johannes from Sweden, a longtime listener and MicroConf regular who runs SQL Spreads, submits a detailed audio question about whether and how rigorously he should review the custom agreements his enterprise customers ask him to sign. He's particularly asking about acquisition context: how deeply do M&A buyers examine these documents at the $1–2M ARR stage, and what can he do now to avoid problems later? [1] — Rob Walling "When you get acquired, buyers go through every contract you've ever signed. The two deal-killers: uncapped liability clauses and IP rights …" 13:40 Rob's response is practical and layered. First, he flags a cautionary tale about a man who used ChatGPT as a de facto lawyer, shared incriminating things in the conversation, and saw those transcripts subpoenaed and admitted as evidence after the court found no attorney-client privilege applied. The lesson: AI is a useful first-pass tool, not a legal advisor. For substantive contracts, Rob recommends having a contracts attorney review the most onerous ones by the time you're doing $1–2M ARR. In a perfect world, a lawyer reviews everything — but that's not realistic for most bootstrappers, and Rob admits he didn't do it consistently himself. What matters most during due diligence: uncapped liability clauses (which expose the acquirer to unlimited risk) and any clause where you've given away IP rights, since those directly undermine the value of what you're selling.
A man used ChatGPT as a de facto lawyer, sharing self-incriminating details in his chats. When the transcripts were subpoenaed, the judge ruled no attorney-client privilege applied and admitted the chats as evidence against him. AI first passes are useful — treating AI as your counsel is dangerous.
Jason Cohen's argument is simple: you'll need to find 50 people to sell to whether you build first or not. Building before validating is a way to avoid the scary part — talking to customers. The code is a comfort blanket masquerading as productivity.
Sam built Algrow from zero to $14,000 in monthly revenue within just six months of shipping his first MVP.
Algrow reached over 10,000 users in roughly six months, driven almost entirely by organic Discord community growth.
Sam acquired his first 400 users entirely through Discord communities, without paid advertising or traditional outreach.
Algrow added exactly 480 new paying customers in its most recent month, demonstrating strong ongoing growth.
Sam's Stripe dashboard showed over £10,000 in revenue in the last four weeks, equivalent to roughly $13,000–$14,000 USD.
Sam gave all early users free access so they could show the tool to friends, turning them into live demos and advocates who helped the product spread virally.
By silently screen-sharing his tool in Discord voice chats rather than posting links, Sam attracted curiosity without violating no-self-promo server rules.
Before building Algrow, Sam and two friends made over $10,000 in revenue through affiliate marketing for RizzApp by posting faceless texting story content.
Bhanu grew SiteGPT to $13,000 monthly recurring revenue entirely through organic channels, spending nothing on paid marketing.
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