The writing duo Christina Lauren pen a winning romance in The Soulmate Equation. The novel is a classic example of the genre. And fun to read. As typical for this type of novel, the initial antagonism gives way to mutual attraction. Only to have an event occur to put the couple back at square one. True romance.
Big Data
This is the first romance I have read that incorporated the element of Big Data into the equation. Hence the title Soulmate Equation is very apropos. The main characters are both geeky data analysts at their core. A mutual interest in stats paves the way for harmony-once the initial clashing is overcome.
The authors treat the background scenario appropriately. The mathematics adds to the storyline but does not usurp the theme of romance. This is nicely done by the duo.
Single Mom
The main character is Jessica Davis, a thirtyish, never married single Mom. She is supported by grandparents and a best friend in raising her young daughter Juno. As a free-lance statistical analyst, she often works from an independent coffee shop. The perfect setting to observe and reach her own conclusions about “Americano” Dr. River Peña.
Jess is portrayed as a hard-working and always harried single mom. So, juggling a career with school and after school activities leaves no room for romance. Let alone genetically driven dating apps. But she reaches a breaking point after one stressful day and sends in a sample. Then the fun begins.
Soulmate Equation
The authors do a great job of tapping into the idea of the perfect one in The Soulmate Equation. Surely, somewhere, sometime there is that lifetime match for everyone. If only we could know when and more importantly who.
In addition to the theme, the writing flows for the reader. The science is believable as are the characters. Human fallacies and personal doubts are explored all while showcasing personal growth for the characters. Both main and secondary. The Soulmate Equation is a fun read and a perfect romance. Well worth the price to purchase.
