# linghuchong6668/mcd-optimizer

> A Python skill that finds the optimal McDonald's order under budget, calorie, headcount and dietary constraints, pulling real menu, price, nutrition and coupon data via the McDonald's MCP Server. It does not place orders, but returns three options: cheapest, most filling and most balanced.

- Magnitude: 4.6 out of 10 — Early signal
- Stars: 97 total · +3 stars measured 2026-10-18, 05:03–11:46 UTC, ≈ 27 by evening
- Star trust: star growth looks organic
- Category: Apps · Language: Python · License: MIT · Created: 2026-10-15 · Last push: 2026-10-17
- GitHub: https://github.com/linghuchong6668/mcd-optimizer · Page: https://gitnova.dev/en/r/linghuchong6668/mcd-optimizer

## Useful for

- Pick an order for two within ¥70 and 800 kcal per person
- Plan a team lunch for 4 people under a budget and calorie cap
- Exclude dishes with allergens listed in --avoid from the search

## Why it’s here

- Star-counter measurements on 2026-10-18 (UTC), 05:03–11:46: 94 → 97 stars (+3). This is the change over that interval.
- Estimated end-of-day forecast: about +27 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 97 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- About 7 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 7
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 30 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 2

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-10-15 … 2026-10-18: 4, 0, 90, 3

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---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-18 11:55 UTC, updated every 30 minutes.