See how your audience feels about your brand using sentiment analysis on Twitter
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I am a full stack developer with almost 20 years of experience, besides that, I also work as a cloud architect. During my work, I helped companies and clients achieve their goals with a website or a mobile application or by upgrading their architecture. So I decided in 2021 to start building my own products to work on my own goals.
Tweet Verita can analyze the sentiment of a tweet, there is no other tool like that. That gives brands a powerful tool to read the impact of their marketing campaigns or to understand how the public is perceiving their brand.
Mostly from the Twitter network, Indie Hacker's posts, and some from plain old cold emailing.
Integrating with the Twitter API is relatively simple, but for Tweet Verita purposes, it is necessary to search for tweets with particular tags. The standard (free) API from Twitter only allows 7 days of search so I create an algorithm to make sure that search are happening at a regular base without hitting the API too much and making sure no tweets are lost (or not found in this case).
I am a bit more old school than most technical founders since I prefer the good old Python/Django with Postgres databases.I also host my own servers/infrastructure. I am not a believer in serverless as I have seen companies with tremendous unnecessary costs.
I love tinykiwi. Simplicity is best.
Right now the product requires very little maintenance, but it needs added features to progress and grow. At the moment I have also other projects I am working on and time is limited. So I might consider selling it, if the buyer could make it grow.