Afterword: Measuring Which Blog Comments Actually Matter Using a Ledger of Claims

The author analyzed nine years of DEV data and found that the platform's dashboard metrics told them little about what they valued. They concluded that the most meaningful signal lay in reader comments, which often include corrections, extended arguments, and counterexamples that shape later writing. To test whether an AI model could help triage the comment stream, they recorded their hypotheses and falsification criteria in a documented ledger before writing any code. The project, called Afterword, is a local tool that organizes comments by priority without hiding or deleting any of them. Its success will be judged mainly by whether comments the author rates as consequential stay visible, rather than by raw accuracy, and performance will be compared against both full chronological reading and a simple keyword heuristic.