Railsware operates as a hybrid 'product studio,' using its consultancy arm to fund and staff the creation of its own SaaS products. This model allows it to successfully build and scale multiple, distinct companies like Mailtrap (email tools) and Coupler.io (data analytics) in parallel, despite the model often confusing traditional investors.
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SaaS companies scale revenue not by adjusting price points, but by creating distinct packages for different segments. The same core software can be sold for vastly different amounts to enterprise versus mid-market clients by packaging features, services, and support to match their perceived value and needs.
Instead of treating consulting and product as separate, CNX uses feedback from services projects to inform new features. A requested customization is often built directly into the core Valence product, benefiting all customers and creating a tight feedback loop.
During a transformation from services to product, identify and commercialize the reusable tools that services teams have already built to support clients. Instead of starting from scratch, productizing these existing "mini-products" aligns them with the broader product strategy, saves development time, and leverages proven solutions.
To innovate at scale, Harness treats each new product as a semi-independent entity. These "startups" have a founder-like PM, go through internal seed/Series A funding stages tied to revenue milestones (e.g., $1M ARR), and are responsible for their own initial founder-led sales.
Assembled knew they had a real business when they discovered that Stripe, Casper, and Grammarly—all unaware of each other's efforts—had independently built the same color-coded spreadsheet to solve workforce management. This pattern of convergent, homegrown solutions signals a powerful, unmet market need.
The key to effective portfolio entrepreneurship isn't random diversification. It's about serving the same customer segment across multiple products. This creates a cohesive ecosystem where each new offering benefits from compounding knowledge and trust, making many things feel like one thing.
Most successful SaaS companies weren't built on new core tech, but by packaging existing tech (like databases or CRMs) into solutions for specific industries. AI is no different. The opportunity lies in unbundling a general tool like ChatGPT and rebundling its capabilities into vertical-specific products.
To achieve rapid, bootstrapped growth, don't choose between a service or a product. Start with a hybrid: a product with a service aspect. This allows you to generate immediate cash flow and validate the market with the service, while using that revenue to build the more scalable product asset.
To avoid choosing between deep research and product development, ElevenLabs organizes teams into problem-focused "labs." Each lab, a mix of researchers, engineers, and operators, tackles a specific problem (e.g., voice or agents), sequencing deep research first before building a product layer on top. This structure allows for both foundational breakthroughs and market-facing execution.
To launch new products and compete with agile startups, embed a small "incubation seller" team directly within the technology organization. This model ensures tight alignment between product, engineering, and the first revenue-generating efforts, mirroring the cross-functional approach of an early-stage company.
