Results from yesterday’s poll. I’m inclined to agree. And this is something I’m going to fix in my next move.

As an indie maker you have a huge advantage if you can genuinely dogfood your product. Don’t do what I did and try to make a product for teams if you’re just one person. That’s really, really dumb 🙃
Before searching for product-market fit, ask yourself if you have founder-product fit. It is a humbling question but one worth investing the time to answer truthfully.
In hindsight, I have low founder-product fit with Talkshow. It’s for teams but I’m solo. It’s a big broad idea but as an indie I should be focused on a niche.
Just braindumping 🤪 Again thanks to @tylertringas for the micro-saas content on his blog, it helped me navigate / articulate some thoughts I was having.
So I’m doing a bit of a reset. Not going back to the start of the 12 month challenge completely. But I think I have a much better idea now of what I want out of this, where I should be focusing my energy, and why I’m doing it in the first place.
Everything up until now was just really, really good training for the next phase 😅

More from Makers

What are some things you should *NOT* do as an indie hacker?

I was recently on @ProductHunt Radio (
https://t.co/IuSMrZTaYG) where @Abadesi asked me this question about all sorts of challenges that founders face.

Here are a few of my thoughts…

@Abadesi Don't blindly follow advice without considering the context in which the advice was given (from who, to who, when, for what) and adapting it to fit your personal situation.

E.g. advice that works for a high-growth VC-funded startup might be disastrous to your indie business.

@Abadesi (This applies to any and all advice in life, btw, not just advice for how to start and run a company. It's almost never a good time to turn off your brain and blindly follow what others are saying.)

@Abadesi Don't equate being a founder with being an inventor. It's an analogy that can easily go too far.

You'll end up overvaluing and over-protecting your pet ideas. Or worse, you'll never come up with an idea at all, because you'll assume that it needs to be something completely new.

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Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit
https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.