The hottest Market fit Substack posts right now

Every product has an 'Atomic Unit of Value', which is the smallest measure showing how much value the product brings to a customer. Understanding this helps businesses know if their product is successful.
To experience this value, customers need to access the product, use it, and get a positive result from it. Simply having a product isn't enough; real interactions and outcomes matter.
Pricing strategies should encourage the creation of this value, rather than charging directly for it. This way, customers are motivated to use the product and realize its benefits.

Bill Gates has launched a €1 billion climate fund to invest in sustainable technologies. This means there is a lot of financial support aimed at fighting climate change.
Finding a good product-market fit is crucial for startups. It helps ensure that a product meets the needs of consumers and can be successful in the market.
AI investing is currently a hot topic among investors. There’s a growing interest in technology that leverages artificial intelligence for various applications.

Many tech startups are not really pushing new technology; they're mostly testing if people will use what already exists in new ways. Uber and AirBnB combine known tech in ways that challenge social norms.
AI startups are even more focused on understanding user relationships with technology. It's still unclear how people want to use AI, making early experiments tricky.
The success of AI startups might depend not just on the technology but also on user appeal. AI that feels more charming or relatable might win out over others, even if the tech is similar.

DraftKings found success with NFT fantasy sports on Polygon.
NFTs expand product market fit by offering digital ownership and new game dynamics.
Strategies like post-mint utility and leveraging freemium models contribute to NFT success.

The Region-Beta Paradox shows that people often tolerate mild discomfort until they reach a more intense state, which can lead to faster recovery. In simple terms, we might ignore small problems until they become serious.
This idea can change how product teams think about improving customer experiences. Instead of aiming for perfect satisfaction, it might be okay to allow for some mild frustration, as it can be a signal for customers to take action.
Not all products need to be perfect to be successful. Sometimes, a product that fits well in the market is more important than one that delivers an ideal experience but lacks user interest.

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When pricing software, focus on value over cost. It's vital to find the right balance and not undervalue your product.
Adapt pricing based on customer segments. Small businesses and larger enterprises have different budgets and needs, so consider offering various editions or plans.
Avoid commodity pricing and aim for a pricing model customers can easily understand. Make sure pricing generates positive margins and evolves with your company.

High market-fit AI products consider context and user consideration for decision-making.
Niche targeting is key for AI products in EdTech, focusing on specific user personas.
Access to specific 'graduate education data' can create a strong technological advantage in the market.

Product-market fit (PMF) isn’t a one-time achievement; it’s a gradual process that evolves over time. You need to keep measuring and adjusting as you grow.
To know if you’ve found PMF, ask your users how disappointed they would be if your product disappeared. A high percentage of disappointment indicates strong PMF.
Focus on making a few customers love your product instead of trying to reach a big audience early on. Understanding your ideal customer and their pain points is key.