Key Takeaways
- Cursor valuation reaches $60B as Alex Lieberman reveals he missed a chance to get 1% advisory shares in 2022, now worth $600M. The company is also launching a mobile app. — via 1 2
- RBC CEO says AI completes week-long reports in 4 seconds, highlighting extreme efficiency gains in finance. AI transformation paths are becoming clearer, from audits to autonomous agents. — via 1 2
- AI startups are actively exiting via acquire.com: an AI sales agency (TTM $288K, asking $315K), an AI SMS platform for e-commerce (TTM $252K, asking $634K), and an AI resume builder app (1.55M downloads, TTM $15.5K, asking $60K). — via 1 2 3
- Investor preferences shift: savvy buyers acquire traditional service businesses (e.g., cleaning, laundry) then boost them with AI, rather than buying AI stocks. Meanwhile, individual users are slashing 99% of SaaS subscriptions and building in-house alternatives, concentrating spending on a few AI and infrastructure companies. — via 1 2
1. AI Companies: Skyrocketing Valuations and Active Exits
- Cursor, the AI coding assistant, is now valued at $60B (up from reported ~$2.5B earlier). Alex Lieberman (@businessbarista) revealed he ignored a message from Cursor's CEO in 2022 to discuss a 1% advisory stake, which would now be worth $600M. He congratulated the team. Separately, @levelsio noted the launch of Cursor Mobile, indicating expansion beyond desktop. — via 1 2
- Several AI businesses are being sold on acquire.com, showing a healthy exit market for AI startups. Notable listings include:
2. AI-Driven Enterprise Efficiency and Transformation
- RBC's CEO revealed that AI can now complete a report in ~4 seconds that previously took a full week of analyst time. This was shared by @arvidkahl, illustrating a dramatic acceleration in financial services. — via 1
- Alex Lieberman (@businessbarista) summarized a 14-month AI transformation playbook observed from working with executives: the path moves from company-wide AI audit → data cleanup → investing in coding agents → enterprise LLM access → training → hackathons → quick-win projects → cost optimization → and finally to autonomous agents. This provides a practical roadmap for enterprises. — via 1
- In the age of AI agentic coding, niche SaaS is still viable. @arvidkahl argued that you can leverage specific domain knowledge and on-demand AI analysis to build a SaaS for a narrow market, even as agents automate more. — via 1
3. Shifting Investment and Spending Patterns
- Codie Sanchez (@Codie_Sanchez) observed that sophisticated investors aren't buying AI stocks; instead they acquire traditional service businesses (e.g., remodeling, cleaning, laundry) and then apply AI to increase their value. This “boring business + AI” strategy is a growing trend. — via 1
- Individual users are dramatically cutting SaaS spend. @levelsio noted a case where someone eliminated 99% of their SaaS subscriptions, building custom substitutes and concentrating spending on a few AI and infrastructure providers. This suggests a shift toward own-built tools and consolidation. — via 1
- Persistent, boring work beats chasing novelty for wealth creation, as per @Codie_Sanchez. The principle aligns with the trend of buying unsexy businesses and compounding returns. — via 1
