Feedback on idea and assumptions
Hi Indie Hackers,
I'm working on a tool that will automatically search for the unhappy customers of your competitors.
My MVP will be an email-based service and will use Twitter to find other companies' customers.
I'm already at a good point developing the system that can find and recognise the users.
Now, why should indie hackers (my target customers) use and pay for this kind of service?
Here are my assumptions in order of confidence:
- To convince unhappy customers to migrate to your product.
- To understand the weakness of the competitor product and make your better.
- To understand how to communicate with your potential customer (gather information on how to deliver your value proposition)
Please, let me know what you think and if this service can really help
Forgive if I am naive, but I think this idea is pretty easy to validate.
Look for a product founder, pitch them your idea, and see if you can help them generate 10 leads, and they will feedback on the quality of the leads and whether they would be interested to engage you in the future.
Your MVP shall be a working model of your back-end engine.
Your idea looks promising! Once someone tweeted (https://twitter.com/startupcardib/status/958705323283447808) about curate tweets to extract opportunities like RFPs, scholarships, programs....it's a good idea but difficult to navigate all tweets and check if it is an opportunity or not.
I like the idea, and would probably use it if I find myself in such situation (building a product with existing competitor).
From my point of view, your second point is more important than the first one because the 1) is a consequence of the 2).
I don't know who told this, but he's right : "Learn from the mistake of others. You won't live long enough to make them all yourself.". Your tool would be a great way to learn from your competitors' mistakes.
Thank you for your feedback. Great quote, I may use it for my landing page... :)
Hey @middleman90,
On paper it sounds like a sound and beneficial idea with potential. I imagine you have to do some fancy language processing ML to pull it off, but on paper it's legit.
To get some more valuable feedback, it would be good to create an MVP/prototype and let people test it, and/or gather some data, use cases and share those with us.
Let us know know how it goes 👍
Thanks for the feedback.
This is a problem of NLP. I'm fairly sure that I can reach a level of precision that I can charge people for.
This is my next step. A really simple demo is on the way!
Sounds good, make sure to share it, so we can test it 👍
Looks like a legit idea, but is unclear how do you determine 'unhappy'? Will you try match keywords in Twitter posts about competitors? If done right, could be great service, but no obvious way of declaring unhappy.
AI can be used for it (Sentiment Analysis). Looks powerful enough to detect "unhappiness"
You are correct. Not an easy problem to solve, but I'm testing many ways, some of which are already showing promising results