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Show IH: CleverTweet - Twitter Growth Tool With Sentiment Analysis

Hey IndieHackers!

A couple months ago I was looking around for ways to grow my personal Twitter audience faster, with minimal effort on my behalf. I ended up creating a program running on a Raspberry Pi which which gave me a list of people tweeting about things I was interested in, and I would then interact with those people on Twitter.

It was around this time that I was thinking about a summer project to work after university finished, and I figured I may as well build my little Raspberry Pi project out as a full service.

CleverTweet (https://www.clever-tweet.com) is currently somewhere around the MVP stage, with features such as keyword tracking, sentiment analysis, language filtering, bot filtering, and follower tracking. It works by asking the user for a list of keywords to follow, and then suggesting interactions (currently just following) with users who (for example) tweet positively about that topic. It then allows people to do those interactions with only a couple clicks, and automatically rate limits the interactions (spreads them out over time).

I'd love feedback on every aspect of what I've presented:

  • The product idea
  • The website as it stands
  • The features I've got so far
  • How I can market this effectively (big question!)
  • Whether you understand the product

Thank you all very much, and thanks to Courtland for making this awesome platform on which I've learned so much.

  1. 2

    Your description of the app makes it seem pretty interesting. Is there any way to see how it works in action a bit? Right now it's just a lot of text where I think some images might help you get your point across quicker.

    1. 2

      Thanks! I hope there is some market for sentiment analysis-driven Twitter growth. (Do you think most people even understand the phrase 'sentiment analysis'?)

      I got the same feedback from my family on the site, they thought the front page was very dry. The UI of the dashboard isn't great right now (why I haven't added screenshots), but maybe they would help understanding.

      1. 1

        I think "dry" is a fair way to describe it right now.

        When you use terms like sentiment analysis I think you're speaking to people more interested in machine learning then improving how they handle their social media.

        I'm bad enough at marketing my own business and products, so take my feedback with a grain of salt, but I think some imagery would go a long ways towards making things easier to understand. That doesn't mean screenshots, necessarily, but some way to get across how it all works quickly without a wall of text.

        I always look at a landing page like what Dropbox has and appreciate how it's so simple and direct.