Enhanced nIFTTTy Scheduler – now at V6

new controls: add 5 mins, subtract 5 mins and how many to schedule

We’ve made two major enhancements in this version and one minor one.

Minor enhancements

The minor ones are a couple of buttons to add and subtract 5 minutes to the timeslots set by any of the other buttons (or as set manually by you). It’s there to make it easier for you to get small variations in the timeslots and so give you finer control over when your pins / shares are made.

Of course, it’s still up to IFTTT as to when it does the checking of your applet…

You can press it as many times as you want – but make sure the last timeslot doesn’t move to the following day.

Major enhancements

The first is the much easier way we’ve given you to tell the scheduler how many you want to pin / share from your selection.

The help for that is shown below.

help for the new feature

The second major enhancement we’ve made is in the way nIFTTTy selects products for pinning / sharing (for anything but collections).

Before, nIFTTTy pinned / shared products in the same order that they appeared in the results given by Zazzle. The disadvantage to that was particularly obvious on Pinterest. You see, as various seasonal occasions approach, everyone tends to set up schedules using the same criteria in Nifty – popular Halloween stuff, Christmas, Hanukkah, New Year, Valentine’s Day and so on.

Not just seasonal but for popular selection like weddings, birthdays and so on.

As a result, everyone’s Pinterest boards looked similar.

So this enhancement has been designed to sort this out. Now, everyone gets a different random list of numbers (based on their referral id) for their schedules and it’s this list that gets used to choose the next product to pin / share. Remember, this is for everything but collections.

In this way, the scheduler will jump about randomly, picking the next product to pin / share from your selection each time, and no–one will get the same order as anyone else. Pinterest boards will now be very different for each Nifty user, even though they might choose the same selection criteria for what to schedule.

Another great advantage comes when you’re pulling by newest first from a store. The random jump-about means you’re much more likely to get different designs rather than the same old design scheduled one after the other. Pretty cool, huh?

We hope you like the end results!