ednite

100% true. My best ideas have all shown up while showering, driving, or scrubbing dishes.

With Google’s AI Overviews dominating search results, how long before AI providers start offering paid placement in those summaries?

Feels like we’re heading toward a future where ads aren't just links anymore, but part of AI results itself.

For me, goals define the what and when, they give direction and timeline.

Constraints define the how and why, they shape focus, discipline, and intention.

Together, they form a system that keeps progress going.

I don’t see them as opposing ideas.

Constraints and goals work best together for most of my real-world projects.

Still a great read and interesting point of discussion.

If you already have a clear problem and real demand, you’re a step ahead, and 3 months is very feasible, just focus on execution.

But if not, I’d make validation your priority.

TL;DR:

Start with the problem and real users. Get a commitment, build the absolute minimum, and be relentless about learning from feedback. Three months is enough to make something real, maybe not beautiful, but definitely valuable.

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I’ll throw in my two cents, speaking as a dev who’s been at this a while (definitely not a 10x’er, imposter syndrome still hits now and then).

If you’ve got three good developers, that’s a huge advantage. But before you dive into the building, focus on the problem, not just the product.

1. Validate the pain first. If you already have a clear problem and real demand, you’re a step ahead, just focus on a well planned execution. But if not, I’d make validation your priority. Reach out to your network or a niche you know.

Don’t just brainstorm ideas, talk to potential users and ask what actually frustrates them or what slows them down.

Example: My local gym used to distribute paper fitness programs. Challenges included managing clients' programs, tracking fitness progress and client engagement. A local software team built them a simple app, proved it worked, and is now selling that app to other gyms. That’s finding demand before building.

2. Land a real-world test partner. Critical in my opinion. If you can get a business or a group of users to commit to trying your MVP (even a rough version) as a pre-sell access, you’re way ahead.

3. Build first the smallest thing that solves the problem. Once you’ve validated there’s real demand, ruthlessly focus on those features first. What’s the absolute minimum you can build that proves value? If your MVP feels “almost too basic,” you’re on the right track in my opinion.

In three months, you won’t ship perfection, but you can absolutely deliver a working, usable V1.

4. My own experience: Right now, I’m working on a SaaS for a niche industry. I partnered up with a company, went to their annual conference, and spoke with managers about their biggest headaches. After presenting a mockup built over a weekend, I proposed a free plan to a pilot group (50 users) in exchange for honest feedback, and made it clear that we’d refine it before moving to paid customers.

I’ve spent about six months on it (part-time, mostly solo dev, with two part-time teammates handling design/support). We’re about to launch it to the pilot group. The whole thing only worked because we started with the problem, not the tech.

5. If your goal is $1k/mo in SaaS revenue within 3 months, you’ll need a real buyer lined up from day one, but it’s possible.

For a YC interview, I'm far from that ecosystem but I can only assume it’s similar to pitching to a potential client. For me, it's always been about solving a clear issue and showing progress.

Fundraising? Same as above, you’ll need to prove users actually care about your product even if it's minimal and rough.

For me, the biggest wins came from real user validation, listening to feedback and fast execution. 3 months totally possible!

Hope your hypothetical turns into something real, and worthwhile, in three months or less.

Some great conversation starters here.

For example, I always believed ostriches buried their heads in the sand to hide, turns out I was naively wrong.

From wiki page:

Ostriches do not stick their heads in the sand to hide from enemies or to sleep. This misconception's origins are uncertain but it was probably popularized by Pliny the Elder (23–79 CE), who wrote that ostriches "imagine, when they have thrust their head and neck into a bush, that the whole of their body is concealed".

Thanks for sharing.

This hits home. Before I published my first blog and video, I was doing everything except creating. I was procrastinating, researching, overthinking.

YouTube is full of tutorials that can help you get started, but the real shift for me happened when I stopped planning and just hit publish. My first video is rough and super amateur, but putting it out there felt empowering. It made me want to keep going.

I’m no expert, but one thing’s clear is that you only get better by doing. Tutorials help, but nothing beats hands-on learning.

In my case, I’ve always liked Casey Neistat’s raw, authentic style. I’m still working up the nerve to get in front of the camera more, but I know I’ll get there.

I know my comment might sound a bit off-topic since you’re asking about the technical “how-to”, but that’s kind of my point. Don’t get too bogged down too much in the setup. It can keep you from ever starting. Once you begin, the tools and improvements tend to come naturally.

Good luck, and honestly, just start.

Looking forward to seeing your videos.

Apologies for the long reply, but I hope something in here helps.

I think it's a good sign that you're reaching out for help and advice. That shows a level of self-awareness that’s important when dealing with burnout. Of course, I’d strongly recommend speaking with a medical professional or therapist, especially if it starts affecting your day-to-day functioning. But I’ll share what helped me personally.

I went through burnout after working nonstop on a project for over six months, only for it to be shut down two weeks before launch, for reasons completely beyond my control. It hit me hard, but I didn’t realize it right away. It crept in slowly, a lack of focus, no motivation, no excitement, just a kind of numb disengagement.

Here’s what helped me:

Acknowledging what I was going through was the first real step forward. Just putting a name to the experience gave me a bit of clarity.

I started reading books about stress, burnout, and anxiety. Not because one book had all the answers, but because the act of engaging with helpful material gave me structure and a sense of progress. I also read lots of fiction to change my mindset.

I talked to close friends and family. Just expressing how I felt, especially about the project, helped release some of the pressure.

I experimented with small activities that felt even slightly interesting. That varied day by day. Some days I journaled, other days I took longer dog walks or spent more time at the gym.

Recovery wasn’t linear. It wasn’t fast. But creating space to decompress and explore what helped me, even in small ways, eventually got me going again.

One important thing I learned is that burnout doesn’t go away with a single solution. It’s not like taking a pill for a headache. It took time, reflection, and consistent self-care. For some, professional support may also be a key part of that.

So my best advice is: Don’t pressure yourself to “fix” it overnight. Stay aware, try things that feel nourishing, and don’t hesitate to ask for help.

Of course, everyone’s experience is different. If it feels overwhelming or doesn’t improve, definitely reach out to a mental health professional. You don’t have to figure this out alone, support is out there.

Sincerely hope this helped.

Killer books — literally. (Sorry, couldn’t resist.)

I knew about toxic wallpaper, but hadn’t turned the page on poisonous books. (Apologies for the pun. I’ll see myself out.)

But in all seriousness, I’m glad to see efforts like this helping to identify and prevent potential harm.

This article of smartphones being “parasites” covers my current dilemma. While I’m not sure how far the biological metaphor goes, I do relate to the experience of being gradually nudged into compulsive behaviors.

In my case, I avoided interacting with social media for most of my life. No Twitter, no Facebook, and until recently, not even HN (aside from reading). This was to protect my focus, and my attention span. My smartphone was just phone.

But I recently started a creative writing practice, and sharing ideas has become important to me. HN felt like a safe place to engage, and I genuinely enjoy the discussions here. That said, I’ve already noticed myself checking my phone more often, anticipating replies, and chasing that little dopamine spike. What was once just a phone is now a catalyst for distraction and creative connection, all at once.

I’ve held off posting to platforms like X because I suspect it’ll get worse. But in today’s world, where writing or building anything online often means “building a following,” is it even possible to avoid the trap?

Are there meaningful ways to engage and grow publicly without becoming trapped in doom-scrolling, infinite feeds, and notification loops ? Or is distraction now the entry fee for visibility?

Would love to hear from others who’ve tried to strike this balance, especially writers, developers, and indie founders.

An amusing Sunday read.

It reminds me of a recent conversation I had with a friend who went on a family road trip and decided to turn the ride into a Spanish practice session for the kids. Seemed innocent enough… until they started using an AI chatbot to help with translations.

At first, it was helpful. Then it got creative. Very creative.

Suddenly, “Where is the bathroom?” became something like " follow the dark path to the eternal chambers of mystery" “And “Please pass the salt” morphed into something about offering sacred minerals to the goddess priestess.

Needless to say, I strongly advised them to stick to Google Translate next time. Sometimes you want a translator, not a hallucinated poet on your road trip.

Thanks for sharing.

When I first heard about the government's push to mass-filter contracts under a tight deadline with a small team, I figured they must be using AI. Hopefully not the “retail version” most of us tinker with.

But then I paused. I thought, surely with federal urgency and resources, they had access to advanced internal tooling or some supercharged AI product. This is sensitive work, impacting essential services. It would require deep domain knowledge, careful oversight, and rigorous review. I imagined a team of 10x engineers and policy analysts coordinating a finely tuned system.

After reading this piece, I realized my original suspicion was correct, but the reality was worse. No secret AI. Just a general-purpose model, with vague prompts, limited contract context, and questionable assumptions. That they didn’t anticipate hallucinated figures or misclassified services is frankly baffling.

Even with my limited AI experience, I would have known these risks. And that’s the real concern: not just flawed execution, but a fundamental misunderstanding of how and when these tools should be used.

It makes me wonder how many other organizations are deploying LLMs in the same way, unproven or experimental systems driven by deadlines, with little grasp of the underlying complexity or consequences.

Great read. For me, this topic brings up such a mixed bag of questions. I do think there’s real truth in the idea that relying too early on LLMs can stunt creativity. Like the author, I believe that if you skip the messy part of writing, figuring out what you actually want to say, you miss out on developing your own voice. That struggle matters.

At the same time, I can’t help but think about calculators. I know it’s a primitive comparison to what we’re dealing with today, but in some ways it’s still relevant. People once worried calculators would kill mental math. Debates were endless and sure, maybe we did lose something, but we also gained a lot. We adapted.

What feels different now is the speed. AI is moving fast and hitting every industry at once. Some are diving in, others are holding back, and most people are somewhere in between, trying to keep up while figuring out what it means for their work, their kids, or their creativity.

I do worry about the younger generation, especially those growing up with this tech baked into daily life. If AI ends up doing the thinking, writing, and problem-solving for them, how will that shape their ability to reason, learn, or build original ideas?

To me, the real challenge isn’t AI itself, it’s the pace of adoption. It’s simply outpacing our current education systems and frameworks for developing human skills. So I get why it feels threatening. It’s not fear of the tool, it’s fear of what gets lost if we skip the part where we teach people how to use it meaningfully.

That’s why, at least for myself, I try to see it for what it is: a powerful tool. As someone new to blogging, I approach it the same way I’ve approached my IT work, use the best tools available, but don’t forget the purpose. I still want to write in my own voice, to work through ideas and get better at expressing them. If AI can help sharpen that process, that’s great. But it can’t do the work for me.

I like your approach of reframing with gratitude, may borrow that. Thanks!

Interesting read. Got me thinking, I’d love to see what happens when modern AI meets open world simulation. Not just prettier graphics, but actual reasoning NPCs. Imagine arguing with a World of Warcraft innkeeper about the price of ale. Priceless.

Like that déjà vu scene in The Matrix, except instead of a black cat, it’s AI pitch decks with wild ideas. Appreciate the sanity check!

Totally agree that the tech can still be transformative even if investors lose money. The question for me is if it stops being financially viable, what keeps driving it forward?

You’re right to think that I probably do sound more like a cautious observer than I actually am. For what it’s worth, I’ve been experimenting with AI tools on the side (mostly in coding and writing workflows), and I’m planning to dive deeper soon, especially around integrating agents into my SaaS.

The post was more about the hype and attention surrounding AI, which can feel mentally exhausting at times, mostly because of how fast everything is moving. Not a complaint, really. If anything, that might be a good sign. I totally get why people are excited, it just takes effort to stay grounded in the middle of it all.

Appreciate the comment! Hopefully next time I’ll be jumping in with war stories instead of sideline takes.

Some great comments in this thread and I agree, a lot of it comes down to understanding yourself.

In my case, not always, but often, procrastination shows up when fear is involved. Fear of failure, of not doing something perfectly, of the task being too big. What’s helped me is turning the task into a challenge, because I know that personally, I thrive on challenges. It re-frames the fear into something exciting, and once I get started, I follow all of the other advice such like breaking it down into small steps. Thanks for sharing.

Good explanation. Thanks.

It is insane. You should see my inbox, daily links to AI articles, sales execs panicking about falling behind. Honestly, it’s understandable with all the noise, but it’s also hard to keep up.

I’ve lost count of how many times I’ve had to explain, again and again “No, AI can’t do that… and no, it’s definitely not drawing up your architectural building plans.” Well, not yet, anyway.

Yeah, I totally agree, we’re still at the beginning, and that’s what makes it a little scary

My dotcom comparison wasn’t really about the tech, more about the noise and hype. Feels like that same kind of frenzy, but now the tech’s actually capable of doing something big. The financial viability is still a big question though. Thanks for the comment.

I’m working on two SaaS projects that both tackle constraints in totally separate industries. Luckily, their underlying structure is similar enough that I’ve been able to split my time and make progress on both in parallel. I can’t really dive into the specifics, just your typical web-based business apps with a few custom-built features designed to address specific workflow requirements. No AI features with these projects.

But surprisingly? What I’ve been most excited about lately is my blog.

And please don't read this as a shameless plug. I just like to encourage others to try if they are thinking about it. A space where I share thoughts about anything and everything. Surprisingly, it’s been a great mental reset and creative boost for my coding work during the day. It’s helped more than I expected.

Good luck to everyone with their projects.

I can’t speak to the world of startups or venture capital, I’m way too far from that ecosystem, but I’d like to add a perspective from the sidelines.

What stands out to me right now is just how loud the expectations around AI have become, especially among non-technical folks. It’s not just “Bitcoin hype” loud, it’s bordering on “AI will solve everything” levels of noise. For those of us who’ve been around a bit longer (sorry, younger HN crowd), the current buzz feels reminiscent of Y2K or the first dot-com wave.

Back then, I was early in my career, but I vividly remember the headlines, the overpromises, and the sheer volume of attention. The difference now is, there’s a lot more substance under the surface. The tools are genuinely useful, and the adoption curve feels more practical, even inevitable. That’s what makes me think AI might become to this era what the smartphone was to the last, not just a novelty, but an everyday dependency.

That said, I’ve also learned a lot from voices here on HN, especially when it comes to the financial realities behind the tech. If there’s one throughline in many of these discussions, it’s that financial viability, not just hype or innovation, is what ultimately determines whether this all collapses or truly transforms the world.

Just my 2 cents.

Reading through all this has been eye-opening with so many thoughtful comments that made me think, even if some parts are a bit discouraging.

I’ve been toying with the idea of jumping on the content creation wagon with storytelling, vlogging life experiences, that sort of thing, but now I’m wondering: Is it still worth building on YouTube if there’s a real risk of getting banned later for unknowingly crossing some unclear content line?

I’m not focused on monetization right now, just hoping to share and connect, but I’d hate to build something meaningful only to watch it vanish overnight.

Great example that shows how AI can be a powerful assistant, but not a replacement.

Exactly the kind of case study I was looking for to share with a business client.

Thanks for sharing!

Oh, your response basically captures hours of conversation I’ve had with that and many other clients. I completely agree, no AI tool can replace years of experience within a company. Trying to model that too literally risks creating misunderstandings, or worse, damaging trust and reputation.

It definitely will never be a replacement for HR or top executive thinking. At best, I’ll be proposing something much lighter, more like a glorified internal search tool for real user examples. To be honest, I’m still all figuring it out. Best case: a helpful resource guide. Worst case: it adds no real value.

The tricky part is, if I don’t provide something, even just a prototype, they’re already looking at other consultants who’ll happily promise the moon. And that’s my bigger concern: if I’m not involved, someone else might introduce a half-baked solution that interferes with the SaaS I’ve already built for them.

So now I’m in a position where I need to put together a clear, honest demo that shows what this tech can and can’t do, just to avoid further complications down the line.

Ironically, this all started when another “AI expert” sold them the idea.

I’ve been saying the same thing all along, we’re not quite there yet. Maybe one day, but not now.

I also get that businesses want to take full advantage of this tech when it’s pitched as a money-saving opportunity, the pressure to act fast is real.

I wonder how many other devs and consultants are facing similar situations?

You make a solid point, the financials will ultimately decide how far this goes, as with most things in business.

That said, I don’t think it quite echoes Echo (that pun might be intentional) or maybe it does, financially speaking.

For me, this wave feels different: deeper integration, broader scale, and real-time utility. I agree, if the returns don’t hold up, a major correction isn’t off the table.

It reminds me a bit of the smartphone era, rapid adoption, strong dependence. I guess, the difference is, that phones had clear monetization paths. With AI, we’re still betting.

The bigger question for me is, if this all collapses, what happens to the workflows and investments already built around it?

I can understand why. You rarely see newts mentioned, even though they’re biologically fascinating. Maybe it’s just because people mistake them for another kind of lizard.

Hats off to the author for expressing this so candidly, I really get where they’re coming from. While I tend to lean more toward the side of AI progression, it’s clearly an inevitable part of society now. I do worry about the long-term impact. I also feel that constant pressure to keep up, adapt, and integrate AI into everything feels like it’s already contributing to fatigue and burnout.

Thoughtful post.

Love the title, and great article.

This might be a total tangent, but every time I see “newts”, I think about how Karel Capek actually coined the word robot in his 1920 play R.U.R., and then later gave us War with the Newts...really smart amphibians. Thanks for sharing.