A ridesharing driver woke up late last night, most likely tired from driving Friday night. He planned to start driving at 7pm, but realized after waking up past midnight that the night had passed him by. Therefore, this driver thought that getting rides would be challenging to get in the early AM hours.
The driver could've stayed home. He could've accepted that he would make less for this week. However, this driver contemplated that increasing his hours on Sunday or taking a risk driving later on this Saturday night shift and well into the morning could in fact make up the difference in lost earnings.
This ridesharing driver made the best of this late start. At almost 1am in the morning, ridesharing drivers understand that demand for rides waned in early am hours. On this Saturday night, a week after a holiday, ride requests slowed down and earnings relied upon luck and chance.
Nevertheless, demand for rides would pick up at 2am-3am again. This unplanned inconsistency for ride requests could impact drivers' earnings. Drivers depend on making long trips or giving multiple rides per hour. Ridesharing services thrive on keeping demand high. Surge pricing motivates drivers to gravitate toward these ride-rich areas. There is less time waiting to receive ride requests during peak hours. Drivers are in motion and ready to engage in ridesharing like fighter jets.
On this strange Saturday night; rides were harder to locate and surge priced areas didn't deliver immediate business. Drivers could go 30 minutes and more without a ride request. If a request arrived, a client, rider and/or passengers may cancel since this driver was further away and waiting was not in their best interest. Cancellations are usually submitted in a few minutes to avoid the $5 standard fee.
The driver focused on what area he could maximize earnings before reaching San Francisco. He took a few ride requests in Berkeley, and then dived into the San Francisco scene. In the heart of San Francisco startup country, ride requests are consistent in this highly dense city. Such rides are in demand at all times of the day, especially on weekend nights. Usually clients/riders/passengers are positioned - give or take - a few miles away. It doesn't take too much time to retrieve clients.
This ridesharing driver salvaged their shift. He looked up in the sky and put the thought out there that he wants to make a certain amount before ending this slow shift. After this law-of-attraction request, this driver delivered multiple rides until the morning. One of his trips left San Francisco, where he delivered his clients to San Mateo and Redwood City.
This ridesharing shift ended at about 9am. This ridesharing driver shutdown the ridesharing app after giving one last ride to two clients from Berkeley to Oakland, and then back to the pickup location. He took the shorter route to reach home much faster than leaving through the Golden Gate Bridge. He never gave up. He didn't throw in the towel. He had the confidence to get rides. He knew what areas within San Francisco would produce ride requests.
The law of attraction inspired this driver to land rides on a slow night. Either clients waited until surge pricing ended, or the extended after-hour parties decreased ride demand. In any case, trust that reliable ride sharing apps will almost always connect drivers with clients at any time of the day. If drivers are serious about making money, then there is plenty of opportunity to make ridesharing successful.
Set ridesharing goals and don't stop until these are fully met.