Reactions smooth

- Supports public channels  
- Chats and private channels are not supported  
- Refunds are not possible if an incorrect link is provided.  
- Example of a correct link: https://t.me/nakrutochka_news/10

Service features:  

- Start: 0-15 minutes (in rare cases up to 2 hours)  
- Guarantee: 365 days  

⚠️ Important:

The system distributes reactions gradually, simulating real user behavior: more at the beginning, fewer towards the end, with consideration of the time of day.

1. View distribution:

The system takes the total number of reactions (for example, 500).
Determines the starting hour (for example, 10:00).
Calculates how many reactions should be added during each of the next 24 hours.

In the first hour - the most (for example, 30-40%).
In the following hours - gradually fewer.

2. Time-of-day logic:

If the order starts during the day (9:00-23:00) - the first hour receives about 30-40% of reactions.
If at night (2:00-6:00) - slow start, then a peak from 9:00-12:00.
If early morning (1:00-8:00) - at least 20% in the first hour.

3. Realism:

A random deviation of ±10% (jitter) is added to avoid identical numbers.
Each hour is split into several small sub-orders (4 by default), distributed evenly throughout the hour.

4. Example:

Order for 500 reactions, starting at 10:00:

10:00 - ~188 reactions (37%)
11:00 - ~80 reactions (16%)
12:00 - ~48 reactions (9.5%)
And so on, gradually decreasing.

Result:

Reactions arrive gradually, just like from real users: more in the beginning and daytime, fewer toward the end and at night, with small random deviations for naturalness.

- Supports public channels  
- Chats and private channels are not supported  
- Refunds are not possible if an incorrect link is provided.  
- Example of a correct link: https://t.me/nakrutochka_news/10

Service features:  

- Start: 0-15 minutes (in rare cases up to 2 hours)  
- Guarantee: 365 days  

⚠️ Important:

The system distributes reactions gradually, simulating real user behavior: more at the beginning, fewer towards the end, with consideration of the time of day.

1. View distribution:

The system takes the total number of reactions (for example, 500).
Determines the starting hour (for example, 10:00).
Calculates how many reactions should be added during each of the next 24 hours.

In the first hour - the most (for example, 30-40%).
In the following hours - gradually fewer.

2. Time-of-day logic:

If the order starts during the day (9:00-23:00) - the first hour receives about 30-40% of reactions.
If at night (2:00-6:00) - slow start, then a peak from 9:00-12:00.
If early morning (1:00-8:00) - at least 20% in the first hour.

3. Realism:

A random deviation of ±10% (jitter) is added to avoid identical numbers.
Each hour is split into several small sub-orders (4 by default), distributed evenly throughout the hour.

4. Example:

Order for 500 reactions, starting at 10:00:

10:00 - ~188 reactions (37%)
11:00 - ~80 reactions (16%)
12:00 - ~48 reactions (9.5%)
And so on, gradually decreasing.

Result:

Reactions arrive gradually, just like from real users: more in the beginning and daytime, fewer toward the end and at night, with small random deviations for naturalness.

- Supports public channels  
- Chats and private channels are not supported  
- Refunds are not possible if an incorrect link is provided.  
- Example of a correct link: https://t.me/nakrutochka_news/10

Service features:  

- Start: 0-15 minutes (in rare cases up to 2 hours)  
- Guarantee: 365 days  

⚠️ Important:

The system distributes reactions gradually, simulating real user behavior: more at the beginning, fewer towards the end, with consideration of the time of day.

1. View distribution:

The system takes the total number of reactions (for example, 500).
Determines the starting hour (for example, 10:00).
Calculates how many reactions should be added during each of the next 24 hours.

In the first hour - the most (for example, 30-40%).
In the following hours - gradually fewer.

2. Time-of-day logic:

If the order starts during the day (9:00-23:00) - the first hour receives about 30-40% of reactions.
If at night (2:00-6:00) - slow start, then a peak from 9:00-12:00.
If early morning (1:00-8:00) - at least 20% in the first hour.

3. Realism:

A random deviation of ±10% (jitter) is added to avoid identical numbers.
Each hour is split into several small sub-orders (4 by default), distributed evenly throughout the hour.

4. Example:

Order for 500 reactions, starting at 10:00:

10:00 - ~188 reactions (37%)
11:00 - ~80 reactions (16%)
12:00 - ~48 reactions (9.5%)
And so on, gradually decreasing.

Result:

Reactions arrive gradually, just like from real users: more in the beginning and daytime, fewer toward the end and at night, with small random deviations for naturalness.

- Supports public channels  
- Chats and private channels are not supported  
- Refunds are not possible if an incorrect link is provided.  
- Example of a correct link: https://t.me/nakrutochka_news/10

Service features:  

- Start: 0-15 minutes (in rare cases up to 2 hours)  
- Guarantee: 365 days  

⚠️ Important:

The system distributes reactions gradually, simulating real user behavior: more at the beginning, fewer towards the end, with consideration of the time of day.

1. View distribution:

The system takes the total number of reactions (for example, 500).
Determines the starting hour (for example, 10:00).
Calculates how many reactions should be added during each of the next 24 hours.

In the first hour - the most (for example, 30-40%).
In the following hours - gradually fewer.

2. Time-of-day logic:

If the order starts during the day (9:00-23:00) - the first hour receives about 30-40% of reactions.
If at night (2:00-6:00) - slow start, then a peak from 9:00-12:00.
If early morning (1:00-8:00) - at least 20% in the first hour.

3. Realism:

A random deviation of ±10% (jitter) is added to avoid identical numbers.
Each hour is split into several small sub-orders (4 by default), distributed evenly throughout the hour.

4. Example:

Order for 500 reactions, starting at 10:00:

10:00 - ~188 reactions (37%)
11:00 - ~80 reactions (16%)
12:00 - ~48 reactions (9.5%)
And so on, gradually decreasing.

Result:

Reactions arrive gradually, just like from real users: more in the beginning and daytime, fewer toward the end and at night, with small random deviations for naturalness.