Ei Nano Deluxe Edition 17+

Private Pleasure Journal

Yoshinori Tsuchiya

Designed for iPhone

    • Free

iPhone Screenshots

Description

Introducing "Ei Nano" - the diary app for documenting your self-pleasure activities. This tool simplifies recording sessions, making it an effortless part of your day.

Ei Nano serves as a diary dedicated to self-pleasure, focusing on solo activities but not limited to them. Writing your daily entries has never been easier. With intuitive features, you can seamlessly document your sessions, gain deeper insights, and understand your personal patterns.

Curious about your last session? The app’s dynamic calendar view allows you to quickly revisit past activities, helping you understand your unique cycle.

Let me also explain the features below.

Notes:
* Quickly jot down details about each session.
* Add personal notes to reflect on your experiences and feelings.

Stopwatch:
* You can use the stopwatch for recording.
* No matter how engrossed you become in self-pleasure, starting the stopwatch ensures you won't forget to record.

Calendar:
* You can toggle between statistics/analysis and the calendar view.
* In the calendar, you can view records for each month.

Share as an Image
* Each section of the statistics/analysis can be shared or sent as an image.
* Feel free to use it for posting on social media, etc.

Date range:
* You can change the period for analyzing statistics.
* Options include All time, Last 7 days, Last 30 days, Last 90 days, Last 180 days, Last 365 days.

The following data is presented as statistics/analysis.

Last time & Biorhythm:
* You can check the date and time of the last self-pleasure session and its cycle in a line graph.
* The index for continuing once a day every day is 1.00.
* Tap each marker on the line graph to check the index for that date.
* Understand your biorhythm to help with physical condition management.

Day of the week:
* You can check the statistics by day of the week.
* You can also see the total for weekdays and weekends (Saturday and Sunday).
* Tap each day of the week to view a list of records for that day.
* See on which days you engage in self-pleasure more or less.

Time of day:
* You can check statistics by time of day.
* Time periods are classified as morning, afternoon, evening, and night.
* Tap each time period to view a list of records for that period.
* See at which times of the day you engage in self-pleasure more or less.

Duration:
* You can check the time spent on each self-pleasure session in minutes.
* Check the longest time, shortest time, and average time.
* Tap each of these to view a list of records.

Top tags:
* You can check the frequency of tags set for each record.
* Up to the top 10 tags can be viewed.
* Tap each tag to view a list of records.
* Top tags will only be displayed if tags have been set when recording activities.
* If no tags are set for any records, the "Top tags" section will not appear.

Pornography:
* You can check the statistics of pornography used during self-pleasure.
* Tap each item of pornography to view a list of records.

Pleasure toys:
* You can check the statistics of toys used during self-pleasure.
* Tap to view a list of records.

Orgasms:
* You can check the statistics of whether orgasms were achieved during self-pleasure.
* Tap to view a list of records.

Enjoy styles:
* You can check the statistics of the number of people involved in self-pleasure.
* See if it was alone, with two people, or with multiple people, and tap to view a list of records.

What’s New

Version 2.0.0

Bug fixes and performance improvements.

App Privacy

The developer, Yoshinori Tsuchiya, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Used to Track You

The following data may be used to track you across apps and websites owned by other companies:

  • Identifiers

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Identifiers

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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