Today marks a new SupraWorx milestone. With gfREC – Green Field Reverse Engineering Cost – we are making the estimated rebuilding effort of software products structured, traceable, and directly comparable across AI providers.
This is a genuine moment for product strategy and software valuation. Instead of asking only what an app costs today, we can expose the effort required to understand, specify, and rebuild its capabilities, data models, integrations, and connected modules from a green field.
A new way to understand software value
Every SupraWorx product can now carry its own gfREC estimates. Claude and OpenAI ChatGPT are not blended into an opaque average. Both providers receive the same scope and produce separate results, each with its own currency and explicit attribution.
The product detail page displays the estimates side by side. Differences become visible immediately. That is where much of the insight lives: variance shows where architecture, dependencies, or implementation effort have been interpreted differently and where expert review should go deeper.
What makes gfREC different
Product-specific: Every app receives its own traceable reference value.
Cross-module: Connected modules, data flows, and integrations are explicitly part of the scope.
Comparable in parallel: Claude and ChatGPT are evaluated separately using the same assumptions.
Internationally readable: Every estimate includes its currency.
Transparent: Provider, scope, assumptions, and uncertainty remain visible.
gfREC is therefore more than another number. It creates a shared language for product owners, engineering teams, procurement, investors, and technical due diligence.
The effect: turning hidden complexity into a comparable metric
Modular enterprise software is much more than its visible screens. Its value often lives in roles and permissions, business rules, data relationships, APIs, automation, background processing, tests, security controls, and years of accumulated integration knowledge.
gfREC brings that hidden complexity into a structured valuation framework. It creates a new perspective on modernization, documentation quality, technical risk, and the strategic value of a product.
We are publishing the prompt
Transparency starts with the task itself. The app name is explicitly a parameter: gfREC can be calculated for every SupraWorx product and its connected modules.
calculate green field reverse engineering cost for <APP_NAME> and connected modules and calculate the costs with <PROVIDER_NAME>
Parameter: replace <APP_NAME> with the name of the app being evaluated. Example: APP_NAME = SupraWorx People. SupraWorx People is therefore an example, not a limitation of gfREC.
replace <PROVIDER_NAME> with the name of the provider like Claude.
For the selected app name, both models should use the same functional scope, assumptions, team structure, and target currency. Their results are stored separately and displayed in parallel.
What a robust calculation should include
Functional capabilities, roles, permissions, and core workflows
Data models, relationships, migrations, and access-control logic
APIs, events, imports, exports, and connected apps
Frontend, backend, automation, and background processing
Testing, quality assurance, security, privacy, and documentation
Discovery, project management, implementation, integration, and acceptance
We also document the evaluated product version, included modules, assumed roles and rates, currency, and material uncertainties. Requirements that cannot be observed directly are explicitly marked as assumptions.
A milestone – and a starting point
gfREC adds a new layer of transparency to the SupraWorx product model. Today, we compare Claude and ChatGPT. The provider-based structure is designed so that additional estimation sources can be added in the future.
Our goal is clear: software value should not disappear into intuition. It should become explainable, reviewable, and comparable. gfREC is an important step toward that goal – and a major new milestone for SupraWorx.
gfREC is an estimation and comparison metric, not a binding quote or a guarantee of rebuilding cost. Results are reviewed by experts before use.