The number of promotions, newsletters, spam that we get in our inbox is really high.

I leave my emails unopened for couple of days and there’s 100s of emails. There’s no way to consume all of them to figure out what’s required and what’s not so important.

Being #indiehackers means that we have to juggle between various things, that's basically being a generalist, but how often do you go deep down the rabbit hole?

buildinpublic https://t.co/eZGBlOCcjr

Be a Generalist or Specialist?

Always thought being a generalist was my strength. I gained vast amount of knowledge without a doubt being one.

While it can open many doors, but its like standing at multiple doors and never really stepping through any.

I recently had a greater realization, stepping into one as a specialist is like going into the Wonderland with Alice. Its a hell of a ride!

In my career of 12+ years, I have been sampling everything, I tried to play all the roles an organization needs, even founded a startup and failed.

The shift was due to the problems that I have been solving lately. It requires deeper understanding as well as a trait of being a generalist to solve problem through existing means.

The shift has made me get obsessed with the problem and finding the solution, it is so hard that it has stolen my sleep and I enjoy that.

But, once I get the answers, I am falling back to being a generalist, so I can gather more knowledge to connect more dots quickly to solve more complex problems.

Be generalist to gain more knowledge, go deeper into something when the problem needs it, get out of the wonderland, and solve the problem.

Rediscovering our path, we're reminded: 'It always seems impossible until it's done.'

Once lost in the daily grind, we now see the strength of our past strategies. Time to build!

buildinpublic https://t.co/YjS7f82FDB

Our stock market strategy was making ~40% CAGR in 2019 with 100% automation.

@rofldoodledo and I had backtested the strategy with 5 years of data, and ran it 1+ years in production.

We shut it down due to SEBI changed the leverage regulations.

We reran the backtesting for the same strategy again and it was surprisingly profitable on papers.

Recently for the past 1 year, we were doing manual positional investments.

But due to the effort that it takes to shortlist a list of 1000s of stocks, we decided why not use Visual Language Model to train our own to help us with the shortlisting process.

While the script is ready to be tested, we are now building the dataset to train the mode.

Follow us to know where we are heading.

@Timb03 I got my link https://t.co/PlIYpogIMm

Thanks. I don’t know what you are building with it, but I just hope it’s something fun.

I have been writing my tweets and scheduling it for tomorrow morning, afternoon and late evening Indian time. Mostly 7:30/8am | 1/2pm | 7/8 pm.

What is the best time for #buildinpublic folks, comment your timezone and time that you generally tweet or visit X

This might look very simple, but it's just a start for something big, lot of learnings.

First step towards success taken.

buildinpublic https://t.co/Oby2BNOgb4

I built a stock market short listing script with 200+ lines of code in 1 hour using @ChatGPTapp and @GitHubCopilot

Without these 2 it would have taken couple of days. https://t.co/9vn38Sx9Rp

We initially though text-to-video is impossible for another decade or so, but you can see in just 1 year we started with spaghetti and we have a full 1 minute HD videos now.

I would say, AI is going quite unpredictably faster. https://t.co/AytxyT7euq