Learn more about the Google for Startups Cloud Program here.

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan explore practical strategies for increasing your income through the use of leverage. They introduce five key types of leverage—knowledge, labor, capital, technology, and media/distribution—offering a roadmap for turning skills into higher earnings.

They share their personal experiences to illustrate these principles: Hassan recounts his journey from working at a startup to joining a founding team, and Zain discusses how he leveraged knowledge and labor to launch his own successful social media consultancy and create the Superhuman AI newsletter. Through consistency and hard work, they demonstrate how small, incremental efforts compound into meaningful career and income growth over time.

Zain and Hassan also underscore the value of building a public presence and network to unlock higher opportunities and income potential. They caution that this approach is not a get-rich-quick scheme but a systematic and sustainable strategy for achieving long-term financial success.

Packed with actionable insights to enthuse the budding entrepreneurs of 2025, this episode offers a practical guide to using leverage and continuous learning to create meaningful career and income growth.

What we talk about:

(0:48) - The challenge – how to achieve $8,000 per month of income.

(1:59) – What is leverage and why do you need it?

(3:45) – The importance of compounding.

(5:21) – Building leverage from zero.

(7:21) – Permission and permissionless leverage.

(8:33) – How Hassan built his leverage.

(10:46) – The most accessible form of leverage is knowledge.

(11:52) – Zain’s system for supercharging your knowledge.

(13:45) – Building Leverage within a job.

(15:13) – How to choose the right jobs after graduating.

(16:25) – Do you want to build or sell?

(20:11) – Forget your job title and focus on your experience.

(23:54) – Why should you share your knowledge and build an audience?

(29:29) – Utilising your leverage to 3x your income.

(33:08) – How Zain used this process to generate $100k+ per month.

(38:12) – Consistency is key.

Learn more about the Google for Startups Cloud Program here.

In this episode of Superhuman AI: Decoding the Future, Zain is joined by Tibo Louis-Lucas, creator of Tweet Hunter and the AI-powered LinkedIn post generator, Taplio, to explore the essentials of starting a business with simplicity and efficiency.

Tibo discusses the power of a lean, focused team in the early stages of a business, with a focus on the “distributor” (who brings the products to market efficiently) and the “builder” (who creates and maintains the product itself). The pair explain how this minimalist approach allows for clear responsibilities and operational clarity, and how it enables individuals to concentrate on their tasks without being overwhelmed.

Tibo also shares his insights on the broader principle of lean teams, and how small teams can remain agile and focused on delivering results. Plus, Zain and Tibo share some valuable lessons for aspiring entrepreneurs, emphasizing the power of simplicity, the importance of strategic resource allocation, and the role of clarity in building strong foundations for any business.

What we talk about:

1:27 – How Tibo sold Taplio

3:23 – Tibo’s early days in building startups

5:13 – How did Tibo gain traction with Tweet Hunter?

8:18 – Separating good ideas from profitable solutions

13:31 – The journey from Tweet Hunter to Taplio

17:59 – Why builders should partner with content creators

20:54 – The acquisition of Taplio

27:57 – Getting banned from LinkedIn

30:14 – Taplio after the acquisition

33:41 – Why no one should be ignoring SEO

34:25 – Why did Tibo leave Taplio?

35:15 – Tibo’s latest project

In this episode of Superhuman AI: Decoding the Future, Zain and Hassan share practical strategies for finding business opportunities in AI. They argue that building on foundational technologies like Chat GPT or Claude can be highly lucrative, citing successful examples like Perplexity, backed by Jeff Bezos.

They explore four key approaches. The Operational Expenditures Attack reduces operational costs through AI automation, as seen with platforms like Harvey AI, while Feature Arbitrage leverages new AI features to quickly build niche products, exemplified by Plug AI and Jenny AI. The Personal Problem Goldmine emphasizes solving your own challenges for impactful ideas, and the Money Trail Method focuses on industries with heavy funding, like Semantic Health, addressing hospital revenue inefficiencies.

Finally, they discuss the X for Y Formula, which adapts successful models like ChatGPT to new domains, and we learn why curiosity and observation are essential traits for spotting opportunities in the AI space.

What we talk about:

1:12 – How to find product ideas

3:03 – All about Operational Expenditures

10:37 – Using Feature Arbitrage for new product ideas

13:35 – Why being a GPT wrapper isn’t a bad thing

16:04 – The Personal Problem Goldmine

25:19 – Finding ideas with the Money Trail Method

30:33 – The ‘X for Y’ formula