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skyler1537 / waldorf-maldives-award-analysis.md
Last active March 30, 2026 16:15
Waldorf Astoria Maldives Ithaafushi — Standard Award Availability Analysis for The Points Guy

The Waldorf Astoria Maldives Ithaafushi — Standard Award Availability Analysis

Property: Waldorf Astoria Maldives Ithaafushi
Hilton Honors Category: Above standard chart (dynamic pricing)
Data source: Gondola automated rate monitoring (every 36 hours)
Analysis date: March 30, 2026
Data coverage: Monitored every 36 hours since May 2024 (~22 months of continuous tracking)


@skyler1537
skyler1537 / 2026-03-27-hyatt-devaluation-predictions.md
Created March 27, 2026 14:30
Which Hyatts Are Most Likely to Get Devalued? A Data-Driven Look — Gondola AI Research

Which Hyatts Are Most Likely to Get Devalued? A Data-Driven Look

Date: March 27, 2026 Author: Gondola AI Research Data: 1,127,000+ rate observations across 1,927 Hyatt properties (pipeline run March 16, 2026)


There's been a lot of speculation about which Hyatt properties will get hit hardest under the new award chart. Rather than guess, we ran the numbers. Gondola monitors rates across nearly 2,000 Hyatt properties worldwide, and the metric that matters here is CPP (cents per point) — the ratio of what a room costs in cash versus what it costs in points.

@skyler1537
skyler1537 / 2026-03-11-marriott-fnc-topup-analysis.md
Last active April 21, 2026 00:41
Marriott FNC Top-Up Increase Analysis: 15k → 25k — How Many More Properties Can You Reach?

Marriott Free Night Certificate Top-Up Increase: How Many More Properties Can You Reach?

Date: March 11, 2026 Author: Gondola AI Research Data: Deduplicated rate observations across 9,270 Marriott Bonvoy properties, covering check-in dates from March 2026 through February 2027 (pipeline run: Feb 26, 2026) Gist: https://gist.github.com/skyler1537/eb1c223a5a7683642d1c7491ed8206b0


The Change

@skyler1537
skyler1537 / points-explorer-methodology.md
Created March 4, 2026 05:37
Points Explorer: Data Pipeline & Outlier Filtering Methodology

Points Explorer: Data Pipeline & Outlier Filtering Methodology

This document describes how the Gondola Points Explorer filters, cleans, and bounds hotel loyalty point redemption data across its extract, preprocess, and visualization stages.

Overview

The Points Explorer computes cents-per-point (CPP) redemption values for hotel loyalty programs by comparing cash rates to points rates at the same property and date. To produce meaningful distributions, the pipeline applies filters at three stages: data extraction, preprocessing, and visualization.


Hyatt's New Award Chart: A Data-Driven Analysis of Winners, Losers, and Where to Book Now

Updated: March 23, 2026 Author: Skyler Erickson Data: 382,108 deduplicated rate comparisons across 1,288 core Hyatt properties (collected March 16, 2026) Gist: https://gist.github.com/4a9c625c6b05391327a09567ec528538


The Big Picture