u/Jazzlike-Form9669

Listen me out, I know it may sound ridiculous.

I myself am the founder of ogcode -- an open‑source coding agent. I have made those mistakes of crafting the product end to end, making sure every nut and bolt is in place, making sure we are ready for 1M users’ worth of traffic on our launch day. Excited and pumped.

But then reality hits you. You launch it and you receive 100 users max of which almost 80% come from groups you joined, friends, and family.

I have one friend and you should listen to his story. We both decided to do a startup after leaving our company. I followed the path of building things and making sure everything was in place before launch.

But he did something completely different, at that time it was unheard of for me at least. He simply built a landing page and put one CTA: join waiting list. That’s all.

And he spent the majority of his time on Reddit posting and educating people about their product. In just 2 months he had 20K+ users on the waiting list, and the next month he convinced one VC to invest in his idea by showing that waiting list.

To be honest, at that time I felt jealous and stupid, but now I can connect the dots.

Listen me out, I know it may sound ridiculous.

I myself am the founder of ogcode -- an open‑source coding agent. I have made those mistakes of crafting the product end to end, making sure every nut and bolt is in place, making sure we are ready for 1M users’ worth of traffic on our launch day. Excited and pumped.

But then reality hits you. You launch it and you receive 100 users max of which almost 80% come from groups you joined, friends, and family.

I have one friend and you should listen to his story. We both decided to do a startup after leaving our company. I followed the path of building things and making sure everything was in place before launch.

But he did something completely different, at that time it was unheard of for me at least. He simply built a landing page and put one CTA: join waiting list. That’s all.

And he spent the majority of his time on Reddit posting and educating people about their product. In just 2 months he had 20K+ users on the waiting list, and the next month he convinced one VC to invest in his idea by showing that waiting list.

To be honest, at that time I felt jealous and stupid, but now I can connect the dots.

Listen me out, I know it may sound ridiculous.

I myself am the founder of ogcode -- an open‑source coding agent. I have made those mistakes of crafting the product end to end, making sure every nut and bolt is in place, making sure we are ready for 1M users’ worth of traffic on our launch day. Excited and pumped.

But then reality hits you. You launch it and you receive 100 users max of which almost 80% come from groups you joined, friends, and family.

I have one friend and you should listen to his story. We both decided to do a startup after leaving our company. I followed the path of building things and making sure everything was in place before launch.

But he did something completely different, at that time it was unheard of for me at least. He simply built a landing page and put one CTA: join waiting list. That’s all.

And he spent the majority of his time on Reddit posting and educating people about their product. In just 2 months he had 20K+ users on the waiting list, and the next month he convinced one VC to invest in his idea by showing that waiting list.

To be honest, at that time I felt jealous and stupid, but now I can connect the dots.

If you are interested in open-source contributions , and looking for Impactful project to work on.

Help build & test ogcode.

It's free , MIT Licensed and open to all.

Tech STACK :

Go & SolidJS

AI/ML

Experience: Anyone with good understanding of basic programming can join.

https://github.com/prasenjeet-symon/ogcode

I was thinking about this problem for a while, if everything is designed for our well being then why do we feel mental pain , why there is mental suffering.

I know that we feel physical pain so that we can protect our body from being destroyed out from dangerous world out there.

But why mental PAIN ?

Can anyone help me here understand this ?

Back then when there was no LLM and not chatgpt , claude code , ogcode ( it's built by me open-source & free - come contribute ) etc.. It was practically hard to build reasonable software - you may need to first assemble best in class software engineers , have massive amount of funds in place to support it and so and so forth.

But suddenly due to these new coding agent , it has become very cheap to produce software - you just need to prompt it better that's all due to this this power of software development is suddenly available to almost everyone as a result suddenly everyone is building there dream SAS and trying to sell in market as a result supply has increased but demands is almost consistent resulting in lower value of SAS.

So now real question is how to actually make businesses out of software in this competitive SAS market ?

Answer is simple - You need to realise that software is now "Commodity". You are selling on features and quality you have no chance in market , other will come and crush you in no time.

What to do now ?

Learn to sell Commodity that's it. How ?

NIKE

You got the point !

Back then when there was no LLM and not chatgpt , claude code , ogcode ( it's built by me and open-source & free ) etc.. It was practically hard to build reasonable software - you may need to first assemble best in class software engineers , have massive amount of funds in place to support it and so and so forth.

But suddenly due to these new coding agent , it has become very cheap to produce software - you just need to prompt it better that's all due to this this power of software development is suddenly available to almost everyone as a result suddenly everyone is building there dream SAS and trying to sell in market as a result supply has increased but demands is almost consistent resulting in lower value of SAS.

So now real question is how to actually make businesses out of software in this competitive SAS market ?

Answer is simple - You need to realise that software is now "Commodity". You are selling on features and quality you have no chance in market , other will come and crush you in no time.

What to do now ?

Learn to sell Commodity that's it. How ?

NIKE

You got the point !

In the last few years, we have all seen massive acceleration in LLM development and production. Every day, new models are released that are more intelligent and smarter than the previous generation. But notice one thing—as this intelligence grows, it requires more chains of thought and training on massive data, resulting in billions of parameters to accommodate this. As a result, there is more energy consumption (I am simplifying this, so do not take it too seriously).

But what if we do not need more development in the LLM field? What we already have on our plate is enough. If you ask me, whatever is in the market is sufficient.

To give you an analogy, think of the massive sun emitting energy continuously on Earth. How much of that energy do you think we are harnessing and utilizing for real-world use cases? Do a little research and you will get a surprising answer (let others know what that percentage is, by the way).

Now imagine I ask you to keep making the sun bigger and bigger. That would sound even more foolish. You would say: first learn to utilize whatever you already have properly. You get my point?

The same thing applies to LLMs nowadays. We need to learn to harness them efficiently, and that is a core software engineering task—not an AI/ML research field.

I was convinced by this so much that I started working on such harnessing myself, with a small contribution from my side. It is called ogcode—a coding agent orchestration ( DM to get involved ). Make no mistake, it is not like other harnesses out there that are highly inefficient at utilizing LLM intelligence. (Do more research: LLMs in the Claude Code environment perform 40% dumber compared to PI, which I love most.)

In the game of building harnesses, it is all about efficiency—how smartly and efficiently we can utilize LLMs for our day-to-day tasks. Note that it has nothing to do with coding only; you can build harnesses for other tasks too—video editing, social media management, etc.

In the last few years, we have all seen massive acceleration in LLM development and production. Every day, new models are released that are more intelligent and smarter than the previous generation. But notice one thing—as this intelligence grows, it requires more chains of thought and training on massive data, resulting in billions of parameters to accommodate this. As a result, there is more energy consumption (I am simplifying this, so do not take it too seriously).

But what if we do not need more development in the LLM field? What we already have on our plate is enough. If you ask me, whatever is in the market is sufficient.

To give you an analogy, think of the massive sun emitting energy continuously on Earth. How much of that energy do you think we are harnessing and utilizing for real-world use cases? Do a little research and you will get a surprising answer (let others know what that percentage is, by the way).

Now imagine I ask you to keep making the sun bigger and bigger. That would sound even more foolish. You would say: first learn to utilize whatever you already have properly. You get my point?

The same thing applies to LLMs nowadays. We need to learn to harness them efficiently, and that is a core software engineering task—not an AI/ML research field.

I was convinced by this so much that I started working on such harnessing myself, with a small contribution from my side. It is called ogcode—a coding agent orchestration ( DM to get involved ). Make no mistake, it is not like other harnesses out there that are highly inefficient at utilizing LLM intelligence. (Do more research: LLMs in the Claude Code environment perform 40% dumber compared to PI, which I love most.)

In the game of building harnesses, it is all about efficiency—how smartly and efficiently we can utilize LLMs for our day-to-day tasks. Note that it has nothing to do with coding only; you can build harnesses for other tasks too—video editing, social media management, etc.

In the last few years, we have all seen massive acceleration in LLM development and production. Every day, new models are released that are more intelligent and smarter than the previous generation. But notice one thing—as this intelligence grows, it requires more chains of thought and training on massive data, resulting in billions of parameters to accommodate this. As a result, there is more energy consumption (I am simplifying this, so do not take it too seriously).

But what if we do not need more development in the LLM field? What we already have on our plate is enough. If you ask me, whatever is in the market is sufficient.

To give you an analogy, think of the massive sun emitting energy continuously on Earth. How much of that energy do you think we are harnessing and utilizing for real-world use cases? Do a little research and you will get a surprising answer (let others know what that percentage is, by the way).

Now imagine I ask you to keep making the sun bigger and bigger. That would sound even more foolish. You would say: first learn to utilize whatever you already have properly. You get my point?

The same thing applies to LLMs nowadays. We need to learn to harness them efficiently, and that is a core software engineering task—not an AI/ML research field.

I was convinced by this so much that I started working on such harnessing myself, with a small contribution from my side. It is called ogcode—a open source coding agent orchestration. ( DM to get involved
) Make no mistake, it is not like other harnesses out there that are highly inefficient at utilizing LLM intelligence. (Do more research: LLMs in the Claude Code environment perform 40% dumber compared to PI, which I love most.)

In the game of building harnesses, it is all about efficiency—how smartly and efficiently we can utilize LLMs for our day-to-day tasks. Note that it has nothing to do with coding only; you can build harnesses for other tasks too—video editing, social media management, etc.

In the last few years, we have all seen massive acceleration in LLM development and production. Every day, new models are released that are more intelligent and smarter than the previous generation. But notice one thing—as this intelligence grows, it requires more chains of thought and training on massive data, resulting in billions of parameters to accommodate this. As a result, there is more energy consumption (I am simplifying this, so do not take it too seriously).

But what if we do not need more development in the LLM field? What we already have on our plate is enough. If you ask me, whatever is in the market is sufficient.

To give you an analogy, think of the massive sun emitting energy continuously on Earth. How much of that energy do you think we are harnessing and utilizing for real-world use cases? Do a little research and you will get a surprising answer (let others know what that percentage is, by the way).

Now imagine I ask you to keep making the sun bigger and bigger. That would sound even more foolish. You would say: first learn to utilize whatever you already have properly. You get my point?

The same thing applies to LLMs nowadays. We need to learn to harness them efficiently, and that is a core software engineering task—not an AI/ML research field.

I was convinced by this so much that I started working on such harnessing myself, with a small contribution from my side. It is called ogcode—a open source coding agent orchestration. ( DM to get involved ) Make no mistake, it is not like other harnesses out there that are highly inefficient at utilizing LLM intelligence. (Do more research: LLMs in the Claude Code environment perform 40% dumber compared to PI, which I love most.)

In the game of building harnesses, it is all about efficiency—how smartly and efficiently we can utilize LLMs for our day-to-day tasks. Note that it has nothing to do with coding only; you can build harnesses for other tasks too—video editing, social media management, etc.

I have no idea where the world is moving. Everything is changing faster than ever. Every new release of LLM models seems to wipe out established industries. Every day there’s a new AI product that can do this or that. Sometimes it feels like—what’s the use of my skills? Will they even be relevant, not in a few months, but in just a few days?

If that’s the case, why spend so much time learning and crafting skills to solve problems for others and earn some cash? I don’t know about you, but it keeps me awake all night. I’m on fire because the future feels uncertain—skills seem meaningless, opinions don’t matter, and even solutions feel irrelevant.

I don’t know how to be useful in this chaotic AI age. Despite having strong technical skills—mastering web development, app development, AI product development, and coding tools—does it even matter anymore? Being fluent in all languages and frameworks, being in love with code, building something with heart… where have we come, and where are we going? I have no idea.

Listen me out, I know it may sound ridiculous.

I myself am the founder of ogcode -- an open‑source coding agent. I have made those mistakes of crafting the product end to end, making sure every nut and bolt is in place, making sure we are ready for 1M users’ worth of traffic on our launch day. Excited and pumped.

But then reality hits you. You launch it and you receive 100 users max of which almost 80% come from groups you joined, friends, and family.

I have one friend and you should listen to his story. We both decided to do a startup after leaving our company. I followed the path of building things and making sure everything was in place before launch.

But he did something completely different, at that time it was unheard of for me at least. He simply built a landing page and put one CTA: join waiting list. That’s all.

And he spent the majority of his time on Reddit posting and educating people about their product. In just 2 months he had 20K+ users on the waiting list, and the next month he convinced one VC to invest in his idea by showing that waiting list.

To be honest, at that time I felt jealous and stupid, but now I can connect the dots.

I have no idea where the world is moving. Everything is changing faster than ever. Every new release of LLM models seems to wipe out established industries. Every day there’s a new AI product that can do this or that. Sometimes it feels like—what’s the use of my skills? Will they even be relevant, not in a few months, but in just a few days?

If that’s the case, why spend so much time learning and crafting skills to solve problems for others and earn some cash? I don’t know about you, but it keeps me awake all night. I’m on sleep pills because the future feels uncertain—skills seem meaningless, opinions don’t matter, and even solutions feel irrelevant.

I don’t know how to be useful in this chaotic AI age. Despite having strong technical skills—mastering web development, app development, AI product development, and coding tools—does it even matter anymore? Being fluent in all languages and frameworks, being in love with code, building something with heart… where have we come, and where are we going? I have no idea.

I have no idea where the world is moving. Everything is changing faster than ever. Every new release of LLM models seems to wipe out established industries. Every day there’s a new AI product that can do this or that. Sometimes it feels like—what’s the use of my skills? Will they even be relevant, not in a few months, but in just a few days?

If that’s the case, why spend so much time learning and crafting skills to solve problems for others and earn some cash? I don’t know about you, but it keeps me awake all night. I’m on sleep pills because the future feels uncertain—skills seem meaningless, opinions don’t matter, and even solutions feel irrelevant.

I don’t know how to be useful in this chaotic AI age. Despite having strong technical skills—mastering web development, app development, AI product development, and coding tools—does it even matter anymore? Being fluent in all languages and frameworks, being in love with code, building something with heart… where have we come, and where are we going? I have no idea.

Listen me out, I know it may sound ridiculous.

I myself am the founder of ogcode -- an open‑source coding agent. I have made those mistakes of crafting the product end to end, making sure every nut and bolt is in place, making sure we are ready for 1M users’ worth of traffic on our launch day. Excited and pumped.

But then reality hits you. You launch it and you receive 100 users max of which almost 80% come from groups you joined, friends, and family.

I have one friend and you should listen to his story. We both decided to do a startup after leaving our company. I followed the path of building things and making sure everything was in place before launch.

But he did something completely different, at that time it was unheard of for me at least. He simply built a landing page and put one CTA: join waiting list. That’s all.

And he spent the majority of his time on Reddit posting and educating people about their product. In just 2 months he had 20K+ users on the waiting list, and the next month he convinced one VC to invest in his idea by showing that waiting list.

To be honest, at that time I felt jealous and stupid, but now I can connect the dots.

I may be wrong — would love to listen your story and product journey.

Or person of any age can take SAT ??

https://preview.redd.it/h3rcdjb9ugzg1.png?width=797&format=png&auto=webp&s=d822eea8981af2e9a757a9a6853d6d519d8edcf5

These are normal right ??? WTF they are doing penetration testing 😳