Skip to main content

5 ways in which we funded our startup-KooKoo

When Nextbigwhat published about the constructive ways of funding your startup, I was reminded that after we launched KooKoo, we had utilized almost all the means mentioned in the video. So, in this blog post, I will recount how we used the different types of money available to us to fund KooKoo.

1. Bootstrap/Self:

This is the primary source of funds for us. We have a cloud telephony platform, and a couple of products, a cloud call center and a cloud PBX which have proven useful enough to businesses that they are paying us a monthly fee for using those products :). From the beginning, we have run a lean process and had one eye on our expenses so that our expenses were never too much over our revenues. During the initial stages when we were building the product and doing R&D, we used the savings of the founders to fund KooKoo.

2. Friends and Family:

The advantage of doing a business in India is that family will always help you out. We the founders have borrowed heavily from friends and family who just loaned us the money with out any questions(and without any interest :)). Most of the loans have now been re-payed.

3. Employees:

At one point in our journey, in our second year of KooKoo, we needed to raise more money. So instead of going the normal route, we gave an option to the employees to buy some stock. We were surprised at the enthusiasm. Guess, people just believed in what they were building :)
We raised ~$75K using this means.

4. Customers:

After our second year, we reached out to our top 10 paying customers and gave them an offer of 20% discount if they pay yearly. 4 took the offer and 1 customer(well known in startup circles,sorry can't disclose the name) did an Angel investment.

5. Angels:

A couple of HNIs who are also friends with the founders have pumped in $300K as Angels.

The one segment from which we have not yet raised funds from is vendors. Though it was not because of a lack on interest, the terms just did not work out.

As you can see, if we think creatively, we can raise money needed for a business in different ways. Please share your stories in the comments below.

Popular posts from this blog

Cloud Telephony-History and state of the art

Well, its been 11 years since Twilio launched their voice API in November 2008. I would say that was a major turning point in the cloud telephony industry. Before that, for people to build telephony applications, you either had to depend on proprietary platforms like Avaya dialog designer or build on arcane technologies like VXML which again was supported at varying degrees by the incumbents. Enter Twilio with their voice API and the industry changed for the better. Since it's been almost 11 years now I thought now might be a good time to do a comprehensive review of the cloud telephony industry as a whole in general and in India in particular. The Beginning Twilio was undoubtedly the startup which ushered in the era of cloud telephony. They started in November 2008. At that time in India, we at Ozonetel had launched a hosted VXML platform. There were no takers. After all who coded in VXML :) So when Twilio launched and we saw them take off, we immediately realized tha...

Google business messages and chat agents-A match made in heaven

Google has launched Google business messages without much fanfare. It's just a small button that pops up when someone searches for your business on Google. But from the conversation industry perspective this is HUGE .   Do you know that the small call button drives millions of calls i n a year for pizza joints and other retailers in the US. Businesses spend more than a trillion dollars supporting billions of customer service calls each year. Now imagine how many chat conversations the "Message" button can drive.  Think of how customers interact with business. 1. Search on Google. 2. Click on web site link. 3. Web site shows chat pop up and tries to force the user to chat.(Annoying. I know :)) 4. User clicks on chat and starts conversing with a bot or an agent. This flow can now be completely changed. The new flow can be: 1. Search on Google. 2. User clicks on Message and starts conversing with a bot or an agent. What if you could design a customer experience that helps...

Telugu ASR speech data collection

Image Source: IIIT-H Developing an indigenous ASR for Indian languages has been a goal for us since a long time. In that regard we have been experimenting a lot, trying out various neural network architectures.  While doing these experiments we found that there was no good dataset for Indian languages. While discussing with IIIT professors we got to know that the government of India was also exploring options to generate a good dataset. We immediately offered our help and our platform for this endeavor. So, as a starting step we have come up with a few campaigns to encourage users to donate speech data. We wanted to make it fun, so our first few campaigns are along the lines of JAMs(Just a Minute speech topics) etc. A topic will be provided and you need to speak for a minute on that topic. We have started this campaign for college students to start with. Of course anyone can participate and contribute their data. The more the merrier :) We will adding a lot more innovative ways ut...