
Equibot
Making Research on BSE & NSE Simple
Creating and Sharing product linked content on Social media with invite campaign on Twitter , Linkedin, Facebook . The early signups are provided free 1 month use . Thousands of users are aware of the product page and are signing up on website for free trial.
Yesterday we launched Equibot on twitter and got to the front page! Overall it resulted in 6,000 pageviews and almost 100 new signups. Here are three lessons I learned:
Refine your website before launching. Submit multiple times if you have to. This was my third time submitting attempt in two weeks. The first two didn't make it to the front page, but this one did.
Don't pay attention to the haters. There will always be some negative commenters. Ignore them, try not to take it personally, and focus on the positive.
I'm excited for what comes next!
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It took 20 weeks, but We are finally done building the minimum viable product for Equibot. We worked mostly nights and weekends, and We coded the whole thing in Golang. In hindsight, there were a few features we built that probably could've waited until later. But We are excited to start talking to customers and see what they think about the product so far!
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We've read so many times that we should solve your own problem, and so last week we sat down to think about all the problems in analysing capital markets.
It turned out that we had quite a few problems worth solving, and the most interesting one led us to the idea for Equibot!
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About
A tool suite available only to hedge funds and institutions until now. Whether you are an investor or a trader, Equibot's automated, powerful and infinitely customisable engine can cut through hours of tedious research

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