An honest, source-grounded comparison between a privacy-first, one-person, seven-week build and the category leader. Every gap, win, and caveat disclosed on the record.
SiftDo achieves 72.1% blended parity-or-better against Monarch Money as of May 2, 2026. The day-to-day surface that App Store reviews are built on — Transactions, Privacy, Imports, Bills, on-device ML — is shipped at parity or better. The planning surface (Budgets, Goals, Cash Flow / Sankey) is the focused remaining gap.
Three new categories did not exist in the April 13 substrate: Communication & Collaboration (family chat, iCloud Drive sync, iPhone SwiftData models), AI & ML (in-development AI chat, on-device 6-stage classification, 99.33% category accuracy), and Architecture & Data Integrity (HLC, history[], code-registry, mint-policy, factor-spec discipline, MSOT design). All three score at 80–100%.
specs/sift-tokens-economy.yamlF05-privacy.yaml:38-130packages/contracts/src/sync/A feature-parity report that lists only wins is marketing. This section exists because the goal is decision-quality information, not persuasion. Each gap is one a competitor or careful user would find within an hour of using the product; disclosing them first is intellectually honest and strategically correct.
Embedded below. Right-click → Save As, or use the download button at the top, to keep an offline copy.