14
7 Comments

Show IH: the ultimate catalogue of validated problems

Hi everyone!

I wanted to share with you my latest (and first paid) product: https://problemize.io , heavily inspired by this tweet https://twitter.com/hvost/status/1308086041207865345 .

Problemize is an explorable catalogue of validated problems in the form of more than 200000 Fiverr gigs, complete with revenue and details (gig title, category, subcategory, seller, country...).

You can graphically analyse the data in the web application or download and process it with your tools of choice. What I love about it is that it feels like gold digging: you can pick a niche (e.g. SEO, or any one of the 191 categories present, each further divided in more niche-specific subcategories) and then see what other people are offering as a service and how much money they are making. This process makes the “find a problem to solve” really data-driven and allows makers to focus on their strengths, cherry-picking already validated problems which are a good fit for their skillset. But don’t take my word on that, there’s a live demo here https://problemize.io/demo/dashboard and you can try it yourself!

I personally find this tool extremely valuable both for getting new product ideas and for checking the viability of whatever comes to my mind. In fact, I decided to build Problemize to scratch my own profitable-ideas-generation itch, since I believe that wrong ideas pursued with blind passion can be downright dangerous, especially for indie hackers with limited time and resources.
I personally love the productised service approach which is being pushed forward by @vinrob and his great https://manyrequests.com , and I think that if more people would think in "productised service terms" (which is: how can I productise my skills effectively?) so many product-building pitfalls could be avoided. Problemize wants to help makers in taking this first step in the right direction: start providing a service or building a product for an audience which is willing to pay.

The product is in MVP stage and there are many rough edges, but I am pretty happy with the response so far ( 7 sales from direct outreach, I will write about that) and I do not want to postpone going public any further as I need all the feedback I can get to move forward! Next developments will be in public!

On the tech side of things I decided to go with a custom stack instead of a no-code approach since I am really bullish on the data products trend and I am testing the waters to build a service which allows anyone to start selling their datasets online! That’s why (and probably because I love programming) I wanted to have something fully customisable from day one. I will write more on this subject in the days to come but feel free to ask anything if you are interested.

Let me know what you think and don't hold any feedback!

P.S. A big shoutout and thanks to @jakobgreenfeld for his amazing work on data products (go check out his https://productexplorer.io , it’s absolutely great ) and LAGstack ( https://lagstack.com ).

P.P.S. It's so serendipitous that, as I was writing your thank you, Jakob, you mentioned me in your newsletter! Thanks so much, it's a real pleasure to be part of this community!

posted to Icon for group Ideas and Validation
Ideas and Validation
on December 21, 2020
  1. 2

    Btw Problemize got featured on Betalist and I created a 40% discount code: apply BETALISTLAUNCH on checkout to get 40% off any subscription!

  2. 2

    Been playing around with your free demo. 👀
    Great work! I just forwarded this to a couple of Fiverrer friends that are absolutely going to give it a go! They always say they don't know how their offering stacks up all the time.

    Hope they sign up, really good stuff! 🤞

    1. 1

      Thank you so much Welo! Yeah, using it as a competitive intelligence tool for Fiverrers (is that a thing? ahah) is one of the use cases I had in mind, I'm so glad you discovered it on your own :) I'll keep you posted! (btw someone new just signed up for the monthly one, could be one of your friends!)

  3. 2

    This is quite interesting. I might give it a try once I finish building out my current project. How did you get the data from Fiverr? Scraping? Api?

    1. 2

      Thanks, let me know if you have any question. Data is obtained through Puppeteer, a great headless Chrome library very handy for complex scraping and automation scenarios

  4. 2

    This comment was deleted 4 years ago.

    1. 2

      Thank you so much man, I appreciate a lot and you are always too kind 🙏
      And I’m also glad you played with Fiverr data too, it’s a real goldmine of information and I’m having a ton of fun digging deep into it. Now that I think about it, you could code a simulation of how well a new account would perform in a given niche! If you need any data just send me a DM and I’ll be happy to share!

      I’ll keep you posted on the next steps, and best of luck to you for https://prodhunt.com !

      As a side note, I really like this data-fetching-dataset-compiling micro community which is emerging these days :)

      1. 2

        This comment was deleted 4 years ago.

        1. 2

          Ahah so true, nothing more dangerous for one’s health than checking out old code. Stay away from that :D

          I love the JTBD framework and always try to understand what is the actual job that my products try to do (and then I try to translate that into a landing page, and that’s when the real pain begins ahah), but I didn’t know about the link you posted, I’ll definitely check it out, thanks!

          Talk to you soon and have a good nite, hopefully delighted by some Cyberpunk 2077 :)

Trending on Indie Hackers
Your SaaS Isn’t Failing — Your Copy Is. User Avatar 57 comments Solo SaaS Founders Don’t Need More Hours....They Need This User Avatar 45 comments Planning to raise User Avatar 16 comments The Future of Automation: Why Agents + Frontend Matter More Than Workflow Automation User Avatar 13 comments AI Turned My $0 Idea into $10K/Month in 45 Days – No Code, Just This One Trick User Avatar 13 comments From side script → early users → real feedback (update on my SaaS journey) User Avatar 11 comments