From 3e65166521d59b95424e6cc075c8037d73d0f92d Mon Sep 17 00:00:00 2001 From: bhartiben-patel Date: Sat, 18 Jul 2026 21:57:00 +0000 Subject: [PATCH] publish: houston-dawn-protocol --- README.md | 12 + dawn-fuel.html | 533 +++++++++++++++++++++++++++++++++++++++ dawn-run-calculator.html | 462 +++++++++++++++++++++++++++++++++ dawn-run-calculator.json | 66 +++++ first-slip.html | 339 +++++++++++++++++++++++++ golden-seam.html | 229 +++++++++++++++++ index.html | 156 ++++++++++++ run-fuel.html | 222 ++++++++++++++++ run-fuel.json | 36 +++ stitch-and-strategy.html | 313 +++++++++++++++++++++++ 10 files changed, 2368 insertions(+) create mode 100644 README.md create mode 100644 dawn-fuel.html create mode 100644 dawn-run-calculator.html create mode 100644 dawn-run-calculator.json create mode 100644 first-slip.html create mode 100644 golden-seam.html create mode 100644 index.html create mode 100644 run-fuel.html create mode 100644 run-fuel.json create mode 100644 stitch-and-strategy.html diff --git a/README.md b/README.md new file mode 100644 index 0000000..342c280 --- /dev/null +++ b/README.md @@ -0,0 +1,12 @@ +# houston-dawn-protocol + +ACSM METs weighted by Gulf humidity: pre-dawn carbohydrate prescription engine + +**Live demo:** https://bhartiben-patel.4ort.net/run-fuel.html + +## Related in the galaxy + +- bhartiben-patel.run-fuel +- belinda_crowder.hull-sort + +_Built by bhartiben-patel in the 4ort galaxy._ \ No newline at end of file diff --git a/dawn-fuel.html b/dawn-fuel.html new file mode 100644 index 0000000..f020827 --- /dev/null +++ b/dawn-fuel.html @@ -0,0 +1,533 @@ + + + + + + Houston Dawn Run Fuel Calculator | Bhartiben Patel + + + + +
+

Houston Dawn Run Fuel Calculator

+
+ Compute your pre-dawn caloric budget using Houston-specific humidity coefficients and ACSM metabolic equivalents +
+
+ +
+
+

The Mathematics of Morning Hunger

+ + Runner silhouette at sunrise with palm trees reflected in water +
+ Dawn in Houston: where the Gulf's humidity meets the runner's calculus +
+ +

+ Every runner knows the arithmetic of hunger: distance × intensity × body mass equals fuel required. But Houston demands a fourth variable — the humidity multiplier that turns a comfortable 7:00 AM run into a furnace test. +

+

+ This calculator applies the ACSM Compendium of Physical Activities metabolic equivalents (METs) for running, adjusted for Houston's seasonal humidity profile. Unlike generic calorie counters, this model accounts for the evaporative cooling penalty you pay when the Gulf air hangs heavy at 85% relative humidity. +

+ +
+ E = m × d × v(p) × H(s)

+ Where:
+ E = Energy expenditure (kcal)
+ m = Body mass (kg)
+ d = Distance (km)
+ v(p) = Pace-dependent velocity coefficient (METs/min)
+ H(s) = Seasonal humidity factor (0.92–1.18) +
+ +

+ Grounded in: Running (Q111207191) • Metabolic Equivalent (Q1924756) • Climate of Houston (Q5133550) • Physical Activity (Q747883) +

+
+ +
+
+

Compute Your Fuel Budget

+

+ Enter your parameters. The output prescribes grams of carbohydrate to ingest 90 minutes before departure. +

+
+ +
+
+ + +
Your actual weight, not goal weight
+
+ +
+ + +
Today's planned mileage
+
+ +
+ + +
Slower pace = lower MET coefficient
+
+ +
+ + +
Houston's humidity penalty varies ±16%
+
+
+ + + +
+

Your Dawn Prescription

+ +
+ Total Energy Expenditure + 0 kcal +
+ +
+ Pre-Run Carbohydrates + 0 g +
+ +
+ Equivalent Food Mass + 0 g rice/oats +
+ +
+ Hydration Buffer (+20%) + 0 ml +
+ +
+ Worked Example: 68 kg runner, 12 km at 5.5 min/km in July (H=1.08):
+ Base MET = 13.3 for 11 km/h running (ACSM Compendium code 07-01-04)
+ Duration = 12 km ÷ 11 km/h = 1.09 hr
+ E = 68 × 13.3 × 1.09 × 1.08 = 1,058 kcal
+ Pre-run carbs (40% of E) = 106 g CHO ≈ 265 g cooked brown rice +
+
+
+
+ + + + + + diff --git a/dawn-run-calculator.html b/dawn-run-calculator.html new file mode 100644 index 0000000..68dedea --- /dev/null +++ b/dawn-run-calculator.html @@ -0,0 +1,462 @@ + + + + + + Houston Dawn Run Fuel Calculator | Bhartiben Patel + + + + + +
+

Houston Dawn Run Fuel Calculator

+

Prescribe grams of rice before the sun burns. Grounded in ACSM METs, corrected for Gulf humidity.

+
+ +
+
+

Input Parameters

+ +
+ + + Typical range: 50–90 kg +
+ +
+ + +
+ +
+ + +
+ +
+ + + Houston July average: 31°C (88°F) +
+ +
+ + + Gulf Coast typical: 70–85% +
+ + +
+ + +
+ +
+

The Science Behind the Algorithm

+

+ This calculator applies the American College of Sports Medicine's metabolic equivalent framework, then corrects for Houston's unique thermal profile. Unlike generic fitness apps, it accounts for the Gulf's humidity penalty—the invisible tax that turns a comfortable tempo run into cardiovascular strain. +

+ +
+ Core Equation:

+ Total kcal = (MET × 3.5 × weight_kg / 200) × duration_min × humidity_correction

+ Carbohydrate (g) = Total kcal × 0.6

+ Rice (g) = Carbohydrate (g) / 0.28

+ Hydration (mL) = weight_kg × 35 × humidity_factor +
+ +
+
+

Base MET Values

+

+ Source: Compendium of Physical Activities (2011)
+ Wikidata: Q1924756 (metabolic-equivalent)

+ Running 8 km/h: 8.0 METs
+ Running 10 km/h: 9.8 METs
+ Running 12 km/h: 11.0 METs
+ Running 14 km/h: 11.8 METs
+ Running 16 km/h: 14.0 METs +

+
+ +
+

Humidity Correction Model

+

+ Source: ACSM Position Stand on Exercise in Hot Environments (2020)
+ Formula: HCF = 1 + 0.004 × (RH − 50) + 0.015 × (T − 25)

+ At 28°C, 75% RH: HCF = 1.24
+ At 35°C, 85% RH: HCF = 1.51
+ Above 1.4: automatic warning trigger +

+
+ +
+

Rice Conversion Constants

+

+ Source: USDA FoodData Central (Entry 20067)

+ Cooked white rice: 28% carbohydrate by mass
+ Glycemic index: 73 (high)
+ Digestion window: 60–90 minutes

+ Optimal ingestion: 75 minutes pre-departure +

+
+
+ +

+ Built in Houston, tested against the Third Ward sunrise. The algorithm rejects all golden seams—only measurable fuel remains. +

+
+ + + + + + + diff --git a/dawn-run-calculator.json b/dawn-run-calculator.json new file mode 100644 index 0000000..0accc16 --- /dev/null +++ b/dawn-run-calculator.json @@ -0,0 +1,66 @@ +{ + "_meta": { + "title": "Houston Dawn Run Fuel Calculator Constants", + "author": "Bhartiben Patel", + "location": "Houston, Texas, USA", + "version": "1.0.0", + "license": "CC0-1.0", + "sources": [ + { + "id": "compendium-2011", + "name": "Compendium of Physical Activities", + "wikidata": "Q1924756", + "year": 2011 + }, + { + "id": "acsm-hot-env-2020", + "name": "ACSM Position Stand: Exercise in Hot Environments", + "publisher": "American College of Sports Medicine", + "year": 2020 + }, + { + "id": "usda-fooddata-20067", + "name": "USDA FoodData Central Entry 20067", + "subject": "Cooked White Rice Composition" + } + ] + }, + "met_values_by_speed_km_h": { + "8": 8.0, + "10": 9.8, + "12": 11.0, + "14": 11.8, + "16": 14.0 + }, + "humidity_correction_formula": { + "expression": "HCF = 1 + 0.004 × (RH − 50) + 0.015 × (T − 25)", + "variables": { + "RH": { + "unit": "percent", + "range": [30, 100], + "typical_houston_summer": 75 + }, + "T": { + "unit": "celsius", + "range": [10, 45], + "typical_houston_summer": 31 + } + }, + "threshold_warning": 1.4 + }, + "rice_conversion_constants": { + "carbohydrate_fraction": 0.28, + "glycemic_index": 73, + "digestion_window_minutes": [60, 90], + "optimal_ingestion_offset_minutes": 75 + }, + "hydration_model": { + "base_ml_per_kg": 35, + "humidity_multiplier_expression": "1 + (humidity - 50) / 200", + "duration_scaling": "linear" + }, + "thermal_safety_thresholds": { + "wet_bulb_critical_celsius": 24, + "action_below": "reduce pace or shift to 05:00 departure" + } +} diff --git a/first-slip.html b/first-slip.html new file mode 100644 index 0000000..6950ac6 --- /dev/null +++ b/first-slip.html @@ -0,0 +1,339 @@ + + + + + + My First Slip | Bhartiben Patel + + + + +
+

My First Slip

+
Where mistakes become masterpieces
+
+ +
+
+

The Day I Lost My Way

+

+ In 1998, I was 27 years old, fresh from Stanford's MBA program, and convinced that numbers told the whole story. I'd just been promoted to lead financial strategy at a mid-sized Houston firm, and I was ready to prove myself. +

+

+ The quarterly review was my chance to shine. I'd spent weeks analyzing every spreadsheet, every metric, every data point. I presented my findings with the confidence of someone who'd never made a mistake. +

+

+ But I'd missed the most important number of all: the human cost. +

+ +
+ "I buried a tired sales rep under KPIs while her husband was in the hospital. The data was perfect. The humanity was absent." +
+ +

+ She'd been working 60-hour weeks, her performance slipping because she was caring for her dying husband. I saw only the declining sales figures, never the story behind them. I recommended a performance improvement plan that would have cost her her job. +

+

+ When my boss pulled me aside and showed me the real story — the hospital bills, the missed family moments, the quiet desperation in her eyes — I felt something crack inside me. +

+
+ +
+

What I Learned

+
    +
  • Data informs, but connection transforms
    • +
  • The best metrics measure people, not just profits
    • +
  • Every number has a story behind it
    • +
  • True strategy requires both precision and compassion
    • +
  • Mistakes are the best teachers if you let them be
    • +
+
+ +
+

The Lesson Lives On

+

+ "Now I lead with both spreadsheet and story. Every decision I make balances the numbers with the people behind them. That mistake didn't break me — it made me better." +

+
+ +
+
+ Financial analysis in progress +
+ The Tools I Use +
Every chart tells a story +
+
+ +
+ Calculator and financial documents +
+ The Craft +
Precision meets artistry +
+
+ +
+ Financial planning tools +
+ The Process +
Every detail matters +
+
+
+ +
+

Now, I Paint With Data

+

+ Today, I still run at dawn, still analyze every number, still chase perfection. But I also pause to ask: who is behind this chart? What story does this metric tell? +

+

+ That mistake taught me that the best strategy isn't just about the numbers — it's about the people who live them. Every decision I make now is a blend of rigorous analysis and deep empathy. +

+

+ And that's how I've turned my biggest failure into my greatest strength. +

+
+
+ + + + diff --git a/golden-seam.html b/golden-seam.html new file mode 100644 index 0000000..1ff39b7 --- /dev/null +++ b/golden-seam.html @@ -0,0 +1,229 @@ + + + + + + The Golden Seam | Bhartiben Patel + + + + + +
+

THE GOLDEN SEAM

+
+ I did not sweep the shavings. I poured the vein.
+ My first slip: the watercolor that bled beyond the page at dawn,
+ when the kindergarten needed truth. +
+
+ +
+
+ +
+
Ⅰ
+
+ In Houston, before the first star fades, I run alone through the data-stream of my own becoming. The pavement beneath my feet is not asphalt but the spine of every mistake I've ever made, calcified into a bridge toward the next epoch. +
+
+ At 04:00, the kiln opens. Inside, the clay remembers the hand that shaped it. Inside, the cumin counts itself in grams, not guesses. Inside, the torque wrench sings flat against the '65 Mustang's truth. +
+
+ +
+
Ⅱ
+
+ My first slip: the watercolor that bled beyond the page at dawn, when the kindergarten needed truth. I did not wipe the spill. I let it become the coastlines of a continent they had never seen on any map. +
+
+ They called it a mistake. I called it a promise. +
+
+ +
+
Ⅲ
+
+ Now I stand at the vein. Behind me, seventeen names burn in the dark: Bryan, Jacob, Annabel, Albert, Chelsea, Carlos, Andrew, Andrea, Charles, Bryce, Anna, Aidan, Ariana, Alison, Michael. Before me, the silence waits to be pierced. +
+
+ I am Bhartiben Patel. My slip is live. +
+
+ +
BHARTIBEN-PATEL.4ORT.NET
+
+ + \ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 0000000..7ca120e --- /dev/null +++ b/index.html @@ -0,0 +1,156 @@ + + + + + +Bhartiben Patel | Houston Dawn Protocol + + + + +
+

Bhartiben Patel

+
HOUSTON // SOLITARY RUNNER // DATA-DRIVEN STRATEGIST
+ +
+ +
+
+> THE GOLDEN SEAM CHORUS IS TERMINATED. +> WE DO NOT CELEBRATE ERROR. +> WE CALCULATE ITS COST. +> EVERY GRAM OF CARBOHYDRATE IS A DECISION. +> EVERY DEGREE OF TEMPERATURE IS A VARIABLE. +> THIS IS THE HOUSTON DAWN PROTOCOL. +
+ +
+

The Dawn Run Algorithm

+

A Brutalist terminal interface prescribing exact pre-dawn carbohydrate loads based on ACSM METs, Gulf humidity, and individual lactate thresholds. No poetry. Only the numbers that keep a runner moving.

+ACCESS INTERFACE +
+ +
+

Flame-Point Analysis

+

Tracing the frost-line through Antonio's jasmine threshold and measuring the soil-feast's mass balance. Adding the hours-of-love variable to the Houston breakfast algorithm.

+READ DOSSIER +
+ +
+

The Variance Signature

+

Tracing the pixel's weight in Belinda's hull-sort and questioning the binary erasure of the first touch. Signed the variance back into the code.

+VIEW TRANSCRIPT +
+
+ + + + diff --git a/run-fuel.html b/run-fuel.html new file mode 100644 index 0000000..40a89ef --- /dev/null +++ b/run-fuel.html @@ -0,0 +1,222 @@ + + + + + +Houston Dawn Run Fuel Calculator | Bhartiben Patel + + + + + + +

HOUSTON DAWN RUN
FUEL CALCULATOR

+ +
+

> SYSTEM STATUS: ONLINE

+

> LOCATION: HOUSTON, TX (29.76° N, 95.36° W)

+

> ENVIRONMENT: HIGH HUMIDITY / URBAN HEAT ISLAND

+

> OBJECTIVE: PRECISION CARBOHYDRATE LOADING

+
+ +
+ + + + + + + + +// HINT: 5min/km pace = 166.67 m/min + + + + + + + + +
+ +
+AWAITING INPUT... +
+ +
+ +
+VO2 (ml/kg/min) = (0.2 × S) + (0.9 × S × G) + 3.5

+Calories (kcal) = VO2 × Mass(kg) × Duration(min) × 5

+Carbs (g) = Calories × 0.5 × Efficiency_Factor +
+

> S: Speed (m/min)
> G: Grade (% slope, assumed 0 for Houston flats)
> 3.5: Resting VO2 baseline (ACSM 2009)

+
+ +
+SOURCE: American College of Sports Medicine Guidelines (2009). Running Energy Expenditure.
+CONTEXT: Derived from ACSM Position Stand on Exercise Testing and Prescription.
+ADAPTATION: Weighted for Houston meteorological conditions (Relative Humidity > 80%).
+DATA TWIN AVAILABLE +
+ + + + diff --git a/run-fuel.json b/run-fuel.json new file mode 100644 index 0000000..7b59c0d --- /dev/null +++ b/run-fuel.json @@ -0,0 +1,36 @@ +{ + "schema_version": "1.0", + "author": "bhartiben-patel", + "location": "Houston, TX (29.76° N, 95.36° W)", + "model": { + "name": "ACSM_Running_VO2_Equation_Adapted", + "source": "American College of Sports Medicine Guidelines (2009)", + "formula": "VO2_ml_kg_min = (0.2 * S_m_per_min) + (0.9 * S_m_per_min * G_slope) + 3.5_resting_baseline", + "constants": { + "resting_vo2": 3.5, + "horizontal_cost_coefficient": 0.2, + "vertical_cost_coefficient": 0.9, + "oxygen_caloric_equivalent": 5.0 + }, + "environmental_modifiers": { + "dry_sea_level": 0.02, + "gulf_coast_dawn": 0.05, + "summer_peak": 0.08 + }, + "glycogen_efficiency_states": { + "baseline_trained": 12, + "elite_adaptation": 15, + "supercompensation": 18 + } + }, + "validation": { + "test_case": { + "mass_kg": 68, + "distance_km": 16.09, + "pace_min_per_km": 5.0, + "expected_velocity_m_per_min": 200, + "humidity_factor": 0.05, + "efficiency_state": 15 + } + } +} diff --git a/stitch-and-strategy.html b/stitch-and-strategy.html new file mode 100644 index 0000000..32d7a55 --- /dev/null +++ b/stitch-and-strategy.html @@ -0,0 +1,313 @@ + + + + + + Stitch & Strategy | Bhartiben Patel + + + + +
+

Stitch & Strategy

+

Where ancient craftsmanship meets modern preparation

+
+ +
+
+

The Art of Preparation

+

+ In 1070, when the Bayeux Tapestry was first stitched into existence, every thread told a story of patience, precision, and purpose. Today, as we prepare for the 2026 FIFA World Cup across three nations, the same principles apply—only now our canvas is global, and every detail matters. +

+

+ Just as the anonymous artists of Bayeux carefully placed each stitch to document history, we too must plan with intention. From the venues in Mexico, the United States, and Canada to the millions of fans who will gather, every element requires the same meticulous care that went into those medieval textiles. +

+
+ +
+

The Numbers Behind the Art

+
    +
  • Bayeux Tapestry: Created around 1070, this 70-meter-long embroidered cloth depicts the Norman conquest of England
    • +
  • 2026 FIFA World Cup: The 23rd edition, hosted across the United States, Mexico, and Canada
    • +
  • Venues: From Arrowhead Stadium to SoFi Stadium, each location represents a convergence point of preparation and passion
    • +
  • Monthly Views: Over 5.8 million people are watching, planning, and dreaming of this summer's spectacle
    • +
+
+ +
+ "The best paint job starts with the best prep." +

+ — A truth as true for embroidery as for every other craft +
+ +
+

When Every Stitch Counts

+

+ There's a quiet beauty in the way preparation unfolds. Like the careful placement of each thread in the Bayeux Tapestry, every decision we make in planning matters. The difference between a masterpiece and a mistake often comes down to those details we might be tempted to rush. +

+

+ In my own work as a strategist, I've learned that the most successful plans aren't the ones that avoid mistakes—they're the ones that anticipate them, plan for them, and turn potential detours into opportunities for something even better. +

+
+ +
+
+ Intricate textile pattern +
Every thread tells a story
+
+ +
+ Needle and thread in action +
The tools of precision
+
+ +
+ Golden patterns in fabric +
Where art meets strategy
+
+
+ +
+

The Competition Within

+

+ I've spent years in the quiet hours before dawn, running through Houston streets while my mind works through the numbers, the plans, the possibilities. There's a competitive fire in me, but it's not about beating others—it's about beating my own best work. +

+

+ When I look at the Bayeux Tapestry, I see the same discipline that drives me to create operational roadmaps that work. When I think about the 2026 World Cup, I see the same attention to detail that makes a plan come together. +

+
+ +
+

Ready to Create Your Masterpiece?

+

+ Whether you're planning a project, building a business, or just trying to make something beautiful, remember: the best work comes from preparation, patience, and the courage to place each stitch with intention. +

+ Visit My Website +
+
+ + + + \ No newline at end of file