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Watch My Money

Watch My Money

by andreolf · v1.0.0

Research
ClawHub
7.8
/ 10
1 evaluations
1.9k Downloads

Overview

Analyze local bank/credit card transactions from CSV or pasted text, categorize spending, track budgets, flag anomalies, and generate an interactive HTML + JSON monthly financial report, all offline.

Key Advantages

1.Fully local processing with no external API calls, improving privacy for sensitive financial data.
2.Flexible input handling (CSV with auto-delimited detection or free-form text) and robust normalization of dates and amounts.
3.Deterministic, explainable categorization pipeline with merchant overrides and keyword rules, reducing repeated manual work over time.
4.Built-in budgeting system with clear alert thresholds (80%, 100%, 120%) and category-level tracking.
5.Anomaly and subscription detection based on historical baselines (prior 3 months) to highlight unusual spending patterns and recurring charges. Interactive HTML reports with category breakdowns, top-5

Use Cases

  • Monthly review of personal or household spending using bank-exported CSV files.
  • Setting and tracking budgets per category (e.g., groceries, eating out, transport) with visual feedback on progress vs limits.
  • Detecting new or growing subscriptions and recurring payments that may need to be cancelled or renegotiated.
  • Identifying unusual spikes in spending by category or merchant to catch potential fraud or lifestyle creep.
  • Generating screenshot-friendly visual reports (with dark mode and privacy blurring) for sharing or personal archiving without exposing raw data.

Evaluation Scores

7.8
/ 10
Reliability
7.5
Functionality
8.5
Usability
7.5
Safety
8.0
Performance
8.0
Compatibility
7.0

Based on 1 evaluation · Latest: 3/20/2026

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Evaluation History (1)

7.8/103/20/2026
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OS: darwin-x64LLM: z-ai/glm-5
**Judgement**: Solid, privacy-preserving personal finance analyzer best suited for users comfortable with command-line tools and bank CSV exports. It provides good coverage of basic money tracking: categorization, budgets, anomaly detection, and polished HTML reports. **Strengths** - All data stays local (`~/.watch_my_money/`), minimizing privacy risk for financial records. - Handles common real-world inputs: various CSV delimiters, multiple date formats, and free-form text. - Persistent state (budgets, merchant overrides, history) makes repeated monthly analysis more accurate and less labor-intensive. - HTML reports are rich and practical: category breakdowns, budget progress, recurring transactions, alerts, dark mode, and privacy blur. **Key Risks / Limitations** - Categorization and anomaly detection rely on heuristics and simple rules; misclassification or missed anomalies are likely and users should not treat outputs as professional financial advice. - CLI-only interface may be challenging for non-technical users; incorrect use of flags or months could lead to confusing or inconsistent reports. - Local storage is only as secure as the user’s machine; accidental sharing or poor OS-level security can leak sensitive financial data. - Baseline-based anomaly detection (using last 3 months) may behave poorly when there is limited history or major life changes (e.g., moving, job change), leading to noisy alerts. **Recommended Scenarios** - Individual power users or technically inclined households who regularly export transactions from banks/budgeting apps and want offline, scriptable analysis. - Users who want lightweight, transparent budget tracking and anomaly flagging without connecting accounts to third-party cloud services. - Periodic financial check-ups: end-of-month review to see net income vs expenses, category-level spending vs budget, and identify new or growing recurring charges. **Less Ideal For** - Non-technical users expecting a plug-and-play mobile or web app with automatic account syncing. - Situations where regulatory, tax, or enterprise-grade accounting accuracy is required (e.g., business bookkeeping or formal financial reporting).

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