All Forum Posts by: Desmend Jetton

Thanks a ton, John. The 20-30 properties I imagined was for cross country-international moves. Further, love the ideas of including other data that show reliability/responsibility as Upstart, a loan provider, does this with college degree etc.

Looking forward to making the algorithm stronger!

Happy Holidays BP Family,

I'm working on my final graduation project at Illinois Tech focused on Web API/App development and I need you all's help. 

Problem: From podcasts, articles, and forums, it seems the biggest liability and risk being a landlord is having the right tenant. Perfect tenants:

1. Pay rent on time, in full, consistently. 

2. Keep your property in good shape.

3. Good neighbors.

4. They pay rent on time, in full, consistently!! :)

Solution: Using machine learning from rental application data sets, our platform would provide curated lists of most capable tenants for your property type based on the history of rental payments and a number of maintenance/ police calls in the past.  The incentive for the tenant would be they use ONE rental application, and instead of paying $35 for an application fee for each property, they would pay $7 a month to apply about 20-30 properties a month. The algorithm gets stronger the more they apply to properties they like. 

When they find the right place, the $7 will transition to rental insurance. 

My classmates and I need help with:

1. Other pain-points landlords have with the tenant-property vacancy.

2. Would a landlord pay for this service, if so, how much?

3. Any factors that you've empirically seen that leads to great long-term tenancy. 

Thanks a ton! We will open up BETA testing next semester.