Helps students find the best-fit Graduate programs. Guaranteed to find the right college, else money back.
Net revenue around $400 a month
https://www.collegehippo.com/
1. Able to work in backyard on a beautiful day with kids playing around me in the summer. Loved it.
2. I had home gymn but never used much and now making good use of it.
3. Food automation: This was something big. We used to sepnd a lot of time cooking fresh food. Most of time spent is on the prep. I hate washing many dishes after every meal. Dishwasher helps but pig pots and pans, need to be done by hand. Then I found a solution. We made a sauce/paste from onion,jalepenos, garlic and 7-8 spices.Then anytime we want to cook, use this sauce to beans, chicken, minced meat, rice and under 10 minutes you get nice tasting fresh food. Have made 20 varities of food so far including orange chicken, chicken tikka.
Launched this with the help of kids and wife.
https://mealgenie.co/
Planning for a kick starter campaign now.
There's a fair amount of manual data collection. I get an excuse to enter into e-mail correspondence with 100s of writers each year, although I have most of the initial contact programmatically driven. There's also automatic annual e-mails of program directors in August to get the latest data from them and for the top schools on the list, I'll make calls if they don't answer the e-mails. In the fall I end up spending an hour or so a day dealing with all the e-mails and data entry.
Forget about yelp and ranking and rating. Ithink the folks realize there is not a single US website that lists all the graduate schools and the courses details. We are talking about solving the next step of the problem when basic aggregation is missing.
But it is so hard for people to give reviews. People seem to give good review when are they are very pissed off or very happy. Later seems to be a very rare case.
I have always thought that bad reviews are sufficient for all purposes, and the only reason to even have good reviews is so the reviewees don't feel overly persecuted.
Any product or service will have occasional customers who are either unreasonable or have bad luck. If you have a lot of bad reviews, then as a prospective customer you want to see if all of them fall under the two categories or whether there is a pattern that is relevant to you.
It seems to me that a review database works fine even when all the reviews are bad, and the only regulation it really needs is an effort to prevent one single individual with a vendetta from overwhelming it.
