Growth from a defined base beats chasing a broad market

A community banks itself

Kredete began with a personal rejection: founder Adeola Adedewe was turned down for a credit card 17 times after moving to the US, according to an Endeavor profile. He had previously worked in the consumer lending division at JPMorgan. In 2022 he launched Kredete to serve African immigrants in the US and Canada, reporting customers' money transfers to US credit bureaus so that sending money home also builds a credit history. m:…3584

The company has grown from that defined base to more than six million consumer customers and 10,000 business customers, processing nearly $6 billion in transfers over blockchain networks, with currency converted into dollar-pegged stablecoins and settled in local currency across more than 50 countries. The profile reports 20-fold growth over the past year, and a $22 million funding round to finance expansion into Canada, the UK, and European markets. Adedewe also sought mentorship from Endeavor to scale from $50 million to $100 million in annual recurring revenue. m:…3584

A workflow, acquired

Dayforce's acquisition of Ribbon.ai follows the same logic in a different market: buy the tool that serves one workflow well. Social Leverage reports that Dayforce acquired Ribbon.ai and will integrate its voice AI technology to automate volume hiring and advance agentic recruiting across its global HR platforms. The acquirer is not buying a general AI company; it is buying a specific capability — voice interviews at hiring volume — for a platform that already has the customers. m:…2356

A region, licensed in

Alpaca's expansion follows the same pattern geographically. Social Leverage reports the brokerage is expanding into the Middle East after obtaining in-principle approval from the FSRA. The same report credits Alpaca with changing the Japanese startup scene, where startups previously relied on micro-IPOs of $20 million. Growth, in each case, comes from winning a defined arena before broadening out. m:…2356

A playbook, compounded

Bending Spoons is the furthest along this road. On the a16z podcast, co-founder and CEO Luca Ferrari described a buy-and-build model: acquire technology companies, integrate them onto the same foundational technology with the same core team, and transform them to be more cash generative over a roughly 10-year view, optimizing for long-term free cash flow compounding rather than short-term valuation. The firm has completed approximately 50 to 60 acquisitions, he said, and its strategy involves swapping out an acquired business's entire foundational technology stack in one move. m:…6268

Ferrari said AI now performs 94% of the firm's coding tasks, up from 0% two years ago, and that its data scientists perform at least 90% of data analysis tasks using AI, with an internal AI agent called 'Alt' able to access GitHub repositories, folders, and drive assets to perform tasks. He also described strict financial discipline: leverage between 2.4x and 2.5x, and 100% of debt hedged against interest rate fluctuations. And he argued software moats rest on network effects, proprietary data, and brand — not on the cost of replicating code — and that the 'SaaS-pocalypse' valuation reset was a rational correction based on more cautious long-term growth assumptions. m:…6268

The common thread is discipline about where growth comes from: a community, a workflow, a region, a playbook. Each of these companies can name its base. The open question is whether a defined base stays an advantage as it scales, or becomes the limit. m:…3584 m:…6268