CalorieTracker vs Sharplet

CalorieTracker

CalorieTracker
CalorieTracker

An intelligent calorie and weight tracking assistant that learns with you.

We are a new and free weight & calorie tracking assistant,​ ​CalorieTracker.io​, with a mission to help others to get beinto their weight, caloric intake, caloric expenditure and more!
With our tracking system you can ditch online TDEE (total daily energy expenditure) calculators and spreadsheets. Pactivity levels, eating habits, water balance, exercise habits change over time to influence their real TDEE.
Simply log your weight and caloric intake daily - using the data, we are able to accurately evaluate your TDEE (TotaEnergy Expenditure) to best guide your food intake and help you achieve your goals - weather you're on a bulk, cut, or just curious about your habits.
Current Features:
- Secure logging system for storing caloric intake, weights and more
- Ability to edit and update your previous logs
- Visualizations and graphs of your data over time
- Projections and trends to see when you'll reach your goals
- Calculation of your true TDEE
- Calculation of your caloric intake target needed to achieve your goals
- Tables with weekly summaries of your logs
- Importing weight and caloric intake data from MyFitnessPal
- mobile and desktop support (its a webapp)
Upcoming Features:
- Autosync with MyFitnessPal
- Integration with other services. Suggest ones you want to see!
- Ability to log more data
- A logging streak trophy/badge system
- much, much more...
Try it here: https://calorietracker.io/
And we also have a discord:​ ​https://discord.gg/jUhASAM
Any feedback is much appreciated as we continue on our journey to develop new features and improve the website!

Location: NYC, United States

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Sharplet

Sharplet
Sharplet

Course marketplace for learning and remembering course content indefinitely.

Sharplet is a web application that allows users to remember more in less time. It uses the highly effective “spaced repetition” learning method to optimally schedule flashcard review sessions. This method helps users commit whatever it is they want to learn to long-term memory in an extremely efficient manner. Ultimately, this means users spend less time revising what they already know and more time on what they don’t.

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