Cuckoo Smart Wireless Hydrometer/Temperature Sensor, designed specifically for home brewing, helps us measure the density and temperature during the beer fermentation process. It can also calculate alcohol content and fermentation progress. After adding yeast, simply place the hydrometer into your wort to monitor the fermentation progress, minimizing the risk of opening the lid and causing contamination, or wasting your precious beer for sampling.

• The Cuckoo Hydrometer is based on the open-source program GravityMon, offering a feature-rich and user-friendly application. You can also enter configuration mode to update to other programs of your preference or upgrade your iSpindel to GravityMon.

• The Cuckoo Hydrometer integrates a wireless charging module, eliminating the need to open the lid and reducing the risk of specific gravity deviations.
• A 20W Type-C wireless charger is required to charge the device, with an initial charging time of 5-8 hours.

Key Features:

1. Convenience: No need to open the fermenter, minimizing contamination risks.
2. Efficiency: Supports fast charging with a 20W Type-C wireless charger.
3. Initial Charge: First-time charging takes 5-8 hours for optimal battery performance.

Usage Example:

• Place the hydrometer on a compatible wireless charger after removing it from the fermenter.
• Ensure the charger provides at least 20W power for efficient charging.

Recommendations:

• Use only compatible 20W Type-C wireless chargers to avoid damage.
• Charge the device fully before the first use to maximize battery life.

• The device integrates a WiFi management module, allowing you to configure both a primary WiFi and a backup (WiFi1).
• The software will not wait indefinitely for a WiFi connection. If the connection exceeds 20 seconds, the device will attempt to connect to WiFi1. If it fails again, the device will enter deep sleep mode for 300 seconds before retrying. This mechanism maximizes power efficiency.

Key Features:

1. Dual WiFi Support: Ensures connectivity by switching between primary and backup networks.
2. Smart Timeout: Prevents prolonged connection attempts, saving power.
3. Deep Sleep Mode: Reduces energy consumption during connection failures.

Usage Example:

• Set your home 2.4G WiFi as the primary network and a mobile hotspot as WiFi1 for backup.
• The device will automatically switch to WiFi1 if the primary network is unavailable.

Recommendations:

• Ensure both WiFi networks have stable signals for reliable connectivity.
• Avoid placing the device in areas with poor WiFi coverage to minimize connection issues.

• Auto-Refresh: Updates every minute for live monitoring.

Key Features:

1. Real-Time Data: Provides up-to-date information on fermentation metrics (e.g., gravity, temperature).
2. User-Friendly Interface: Displays data in an easy-to-read format for quick analysis.
3. Customizable Views: Allows users to focus on specific parameters or trends.

Usage Example:

• Monitor gravity and temperature changes in real-time during active fermentation.
• Use the dashboard to identify trends or anomalies in the fermentation process.

Recommendations:

• Keep the dashboard open during critical fermentation phases for continuous monitoring.
• Use the auto-refresh feature to ensure you always have the latest data.

• Displays the time elapsed since the last update / the device’s update frequency.

• Mode Switch Log: Displays a history of all operational mode transitions (e.g., WorkingMode, ShadowMode, ConfigurationMode).
• Check the internal network IP address required for access in configuration mode

• You can switch between different gravity formats. The software will always use SG for internal calculations and convert it to Plato when displaying.

• Enter the temperature offset value (not the target temperature).
• Example: To reduce the current reading by 1°C, input -1.
• The adjustment will be applied after the next data update.

Key Notes:

• Offset-Based Calibration: Directly input the desired correction value (e.g., +2 to increase, -1 to decrease).
• Delayed Application: Changes take effect after the device’s next scheduled data upload.
• No Target Input: Do not enter absolute temperatures; only provide the deviation value.
• If the sensor reads 22°C but should be 21°C, input -1 to calibrate.

Mid-Fermentation Points

• During fermentation, sample and measure SG values to refine the formula’s accuracy.

Key Notes

• Formulas adjust automatically based on your input data.
• The chart dynamically updates to reflect formula behavior.
• Ensure data points span the full fermentation range for optimal results.

• Below -70: Good signal.
• -70 to -80: Moderate signal.
• Above -80: Poor signal.

Key Factors Affecting Signal:

1. Signal Blocking: Stainless steel, thick walls, or building structures may significantly weaken WiFi signals.
2. Yeast Foam Interference: During early fermentation, yeast foam can surround the electronic hydrometer, degrading WiFi signal transmission.

Optimization Tips:

• Place the router and fermentation device in the same room, ideally above the fermenter, to improve signal strength.
• Avoid physical obstructions (e.g., metal surfaces, walls) between the device and router.

Note: Signal strength impacts data transmission reliability. Monitor RSSI values to ensure stable connectivity.

• The platform supports forwarding data to other mainstream platforms with minimal configuration.

1. BrewSpy
   • Action: Add the platform’s API key.
2. BrewFather
   • Action: Create a new device name and add the platform’s Path/URL.
3. GrainFater
   • Action: Configure via custom options.

• Data Sync: Forwarding occurs in real-time or based on device upload frequency.
• Security: Keep API keys confidential.
• Format Compliance: Follow each platform’s documentation for parameter formats.

• Battery Range: 3.3V to 4.15V (corresponding to 0% to 100%).
• Low Power Mode: When the battery level drops below 25%, the device enters power-saving mode (data is sent once per hour).
• Battery Life: At 100% charge, the device can send data 10,000 times under good network conditions.
• Battery Health: If the 18650 lithium battery remains below 0% for an extended period, it may become deeply discharged, reducing its lifespan.

Key Notes:

1. Voltage Monitoring: Regularly check the battery voltage to ensure optimal performance.
2. Power-Saving Mode: Extends battery life by reducing data transmission frequency.
3. Battery Care: Avoid deep discharge to maintain battery health.

Recommendations:

• Recharge the battery before it drops below 25%.
• Replace the battery if it frequently enters deep discharge (below 0%).

• When the hydrometer is placed into the initial wort and fermentation is about to begin, start a new batch. This allows the device to record the entire fermentation process.

Batch Pause

• When fermentation is complete and you are ready to remove the hydrometer, pause the batch. This ensures the complete batch record is saved.

Key Notes:

1. Batch Tracking: Records all data (e.g., gravity, temperature) from start to finish.
2. Pause Function: Prevents data loss when the device is removed.
3. Data Integrity: Ensures a complete and accurate fermentation history for analysis.

Usage Example:

• Start a batch when pitching yeast into the wort.
• Pause the batch before cleaning or removing the hydrometer.

Recommendations:

• Always start a batch at the beginning of fermentation.
• Pause the batch before removing the device to avoid data gaps.

• Click the ✏️ (edit icon) next to the batch name to record or update details about the batch.

Key Notes:

1. Edit Function: Allows you to add or modify batch-specific details (e.g., recipe name,Beer Style, yeast type, notes).
2. Data Organization: Helps keep track of multiple batches for future reference.
3. User-Friendly: Simple click-to-edit interface for quick updates.

Example Details to Record:

• Batch Name: “IPA”
• Beer Style: “21C.Hazy IPA”
• Yeast: “Safale US-05”
• Notes: “Fermented at 20°C, OG: 1.060, FG: 1.012”

Recommendations:

• Regularly update batch information for accurate record-keeping.
• Use descriptive names and notes to easily identify batches later.

• Click the Share Button to share fermentation curves and batch information with others. This includes both completed batches and ongoing fermentation batches.

Key Features:

1. Shareable Data: Includes detailed fermentation graphs and batch details (e.g., gravity, temperature, timeline).
2. Real-Time Sharing: Even ongoing batches can be shared, allowing others to monitor progress.
3. Collaboration: Ideal for sharing with brewers, friends, or for troubleshooting.

How to Share:

1. Open the batch you want to share.
2. Click the Share Button .

Example Use Cases:

• Share a completed batch’s fermentation curve with a brewing community for feedback.
• Send an ongoing batch’s progress to a friend for real-time monitoring.

• Without Batch Started: You can download the most recent 500 data points.
• With Batch Started: You can download the complete batch data.

Error Handling:

• If incorrect data is found in the curve or historical records, you can mark that specific data point as invalid.
• Invalid data can also be restored if needed.

Key Features:

1. Data Accessibility: Download recent or complete batch data for analysis.
2. Error Correction: Easily flag or restore incorrect data points.
3. Data Integrity: Ensures accurate records for fermentation monitoring and analysis.

Usage Example:

• Download recent data to troubleshoot a sudden change in gravity readings.
• Mark a temperature spike as invalid if it was caused by external factors.

Recommendations:

• Regularly review data to identify and correct errors.
• Use the download feature to back up important batch information.

• After creating a batch, the platform calculates the gravity change over 48 hours, helping you better observe fermentation trends.
• Change Units:
• SG (Specific Gravity): Displayed with the decimal point shifted two places (e.g., 1.050 → 0.0050).
• Plato: Displayed normally.

Key Features:

1. Trend Analysis: Tracks gravity changes over 48, 24, or 12 hours for precise fermentation monitoring.
2. Unit Flexibility: Supports both SG and Plato units for user convenience.
3. Visualization: Helps identify fermentation stalls or abnormal trends.

Usage Example:

• Monitor a 48-hour gravity change to confirm active fermentation.
• Compare 12-hour changes to detect slowdowns or issues.

Recommendations:

• Use the 48-hour trend to assess overall fermentation progress.
• Check shorter intervals (12H or 24H) for detailed insights during critical phases.