Weekly Progress – Week 21

This week we scaled up our problem sourcing algorithm, pushing it further toward a system that can continuously surface and rank opportunities with minimal human oversight. Alongside this, we began building out our first product development workflows. These workflows mirror many of the vibe coding platforms on the market, but we are implementing them through our own internal tools to keep everything inside the Entonomy engine.

Lead generation continued for SaaS products, but conversions remain at zero. While this validates our ability to attract interest, it highlights that we have yet to identify product–market fit in the SaaS categories we’ve been testing.

1. Scaling the Problem Sourcing Algorithm

• Expanded infrastructure allows us to generate and process significantly more problems each cycle.

• Problems are scored and filtered using our multidimensional scoring model, enabling a growing database of ranked opportunities.

• This sets the stage for higher throughput in the venture pipeline and more reliable promotion of high-value problems into product workflows.

2. Product Development Workflow Initiation

• Work began on building internal product development flows that resemble vibe coding platforms (low-code/no-code environments).

• Instead of relying on third-party tools, our workflows are agent-driven and integrated directly into the Entonomy engine.

• These flows will eventually take a problem, pair it with an archetype, and output live products ready for testing.

3. SaaS Lead Generation

• Campaigns continued to bring in leads across multiple SaaS experiments.

• Despite consistent lead flow, no users converted to paying customers.

• Early signals indicate misalignment between product categories being tested and actual market demand.

Weekly Learnings

• Problem sourcing is reaching production scale — we now have a sustainable system for surfacing high volumes of opportunities.

• Internal product dev workflows matter — building in-house versions of vibe coding functions keeps us from depending on external platforms and strengthens long-term automation.

• Lead flow ≠ product–market fit — the SaaS space is saturated and interest alone is not translating to sales.

Plan for Next Week

• Shift focus to proven product–market fit: Instead of continuing with unproven SaaS categories, we will recruit a business I previously founded that had strong product–market fit. The experiment is to see whether our AI agents can operate and scale it more effectively than I did personally.

• Deepen product workflows: Continue building out the product development flows, testing their ability to move from problem identification to working product.

• Run comparative experiments: Establish benchmarks for AI agent performance against historical benchmarks of the recruited business.