By 2019, it was operating in eight Indian metros, and by August 2021, it had expanded into quick commerce, launching Dunzo Daily to deliver essentials in 19 minutes or less. Customers liked the convenience that Dunzo provided, investors loved its growth, and the phrase 'Dunzo it' became a common idiom in India akin to 'Google it' in the U.S.
The input planning calculator is a robust tool that can help farmers and agronomists better understand on-farm finances while helping uncover which crops make the most sense to plant from a cost perspective. By inputting key on-farm financial and agronomic data, including seed and agronomy service costs, growers can compare each crop on their farm and explore their true cost of production.
Kantar's codebase was legacy old. The kind of technical debt that isn't a line item on a sprint board but a structural reality that shapes every decision the company makes. Rebuilding the architecture to support what I'd designed would have cost more than the organization was willing to invest, regardless of the Barilla deal sitting on the table.
Heat looks like validation, and validation looks like safety. It is hard to ignore a sector when customers start leaning forward at the same time investors do. Still, the more cycles I have lived through in competitive technology businesses, the more I see heat as an optical illusion. It sharpens whatever is easiest to notice and blurs the underlying mechanics that determine who or what holds control.
Profit margins at the world's largest luxury goods companies have almost halved in just three years, prompting calls for more disciplined cost management that preserves brand equity while restoring profitability. Research from supply chain consultancy Inverto, part of Boston Consulting Group, shows that the average operating margin across the 20 biggest luxury groups has fallen from 24 per cent in 2022 to 13 per cent today.
Markup is how much you add to your cost to get your selling price. If something costs $10 and you sell it for $15 , you added $5. That's a 50 percent markup on your cost. Where people get confused is that markup isn't the same as margin, even though the terms get used interchangeably all the time. Margin measures profit as a percentage of the selling price, and markup measures it based on your costs. Same dollar, different percentages.
In a recent Tradespace and Above the Law survey, two-thirds of companies that draft patents in-house described IP as a value driver, while 71 percent of companies that outsource drafting viewed IP as a cost. When drafting and prosecution move inside, IP teams work closer to engineers and product leaders. This proximity improves invention quality, strengthens claim strategy, and aligns patent decisions with product direction, market timing, and business priorities.
We're fortunate to stand on the work of giants. Every time we cross a suspension bridge or hear a brilliant piece of music, we experience the spark of someone else's genius. We don't need to understand every theory to benefit from it - and the same is true in building a business. You don't need a computer science degree to think like an engineer - but doing so can help you build smarter, faster and with fewer mistakes.
Discounting has been part of retail's toolkit for decades, and it can be effective, especially during high-stakes shopping seasons. But as promotions become more frequent across the industry, companies are taking a closer look at the downside: Short-term sales gains don't always come with long-term loyalty or durable margins, and customers remember how a brand made them feel far more than what they saved at checkout.
Any thin hope marketers had that 2026 might calm the turbulence of last year didn't survive January, as political shocks, platform upheaval and fresh economic jitters piled new uncertainty onto an already fragile market. Nobody expected serenity to be clear. The hope was for a more predictable kind of chaos: slower regulatory fights, fewer sudden platform pivots, and an economy drifting rather than lurching.
We're living in a token economy. Each piece of content -- words, images, sounds, etc. -- is treated by an AI model as an atomic unit of work called a token. When you type into a prompt in ChatGPT, and you receive a paragraph in response, or you call an API to do the same thing inside an app you've built, both the input and the output data are counted as tokens. As a result, the meter is always running when you use AI, racking up costs per token, and the total bill is set to go higher in aggregate.
The founder of one of our portfolio companies created a company with approximately $200 million in revenue purely on instinct. The founder had spent a large amount of time around the products and relationships with customers, so that he could literally go out onto the production floor and identify the machine that would be broken down in a week, and he would reject a price recommendation from his financial staff because "it didn't feel right!"
Geoffrey Hinton, the Nobel Prize winning computer scientist who is often referred to as the "Godfather of AI", famously asserted in 2016 that, "People should stop training radiologists now. It's just completely obvious that in five years deep learning is going to do better than radiologists." The logical expectation would be that the number of radiologists should begin to decline over time as they begin to get replaced by AI.
But if you're innovating within your industry, it's a problem you should expect and prepare for because it means having to operate in two realities-the internal reality where you know the challenges in your industry and how you're going to solve them, and the external reality where nobody else has recognized the problem that needs to be solved. In a highly regulated industry like healthcare, safety, and stability create an inertia that often works against innovation.
The emergence of so-called "agentic AI," systems that can perform tasks independently and support decisions, plays a central role in this. Two-thirds of respondents believe that there is currently more hype surrounding agentic AI than previous technological developments. At the same time, three-quarters are still discovering how this technology can be used effectively. According to Basware CEO Jason Kurtz, the time for experimentation is over; executives expect concrete results.