Read-a-thon: Make Me Read It (July 2015) VOTE!

I originally heard about this readathon on iloveheartlandx @ bookloversblog, though it is hosted by Val @ The Innocent Smiley and Ely @ A Book So Fathomless. I’ve never done a readathon before but this one coincided perfectly with my library hold hiatus (basically I don’t take out any library books for a two week period so I can concentrate on books I have purchased). And I also recently joined Twitter (late to the party, I know) so I really wanted to try this more interactive challenge!

  • When is it? July 20th (8am) until July 27th (12am)
  • Tag? #MakeMeRead
  • How does it work? Make a list of books you want to read and then have your friends vote! You will then read the books in order of highest to lowest votes.
  • My Goal: Read 5 of the below books!
  • Why I need your help? I need your help voting for what books I should read!

Here are the books I randomly selected from my TBR jar:

Before You (Sex on the Beach) Love, Rosie In Harmony (Fenbrook Academy, #2) Near and Far (Lost and Found, #2) Lady Thief (Scarlet, #2)

By Referral Only (Whitman University, #2) Torrent (Condemned, #1) Silent No More (Silent, #1) In a Heartbeat (Heartbeat, #1) The Mad Tatter

You may have never heard of some of these books but I ask that you please vote anyway! Just vote for your favourite cover 😉

RESULTS (In Reading Order):

Love, Rosie Lady Thief (Scarlet, #2) Near and Far (Lost and Found, #2) The Mad Tatter Before You (Sex on the Beach) Torrent (Condemned, #1) Silent No More (Silent, #1) In Harmony (Fenbrook Academy, #2) In a Heartbeat (Heartbeat, #1) By Referral Only (Whitman University, #2)

If you are doing this challenge, leave a link to your post and I will gladly vote for your picks!

Thank you in advance for you vote! I really appreciate it!

Any seasoned read-a-thon’ers have some tips for a newbie like myself?

Comments 11

Leave a Reply

Your email address will not be published. Required fields are marked *

CommentLuv badge

This site uses Akismet to reduce spam. Learn how your comment data is processed.