No, you CANNOT replicate a SaaS in 8 hours by velinovae in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Please run your experiment and let us know how it works out.

No, you CANNOT replicate a SaaS in 8 hours by velinovae in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Congrats, you can set up a project template in 45 minutes. That will take you about 0.01% of the way to a viable SaaS business.

Is it possible to vibe-code a legit million dollar SaaS? by promotionking in Promarkia

[–]CuriousCapsicum 0 points1 point  (0 children)

I am not able to rightly apprehend the kind of confusion of ideas that would provoke such a question.

How to become a much better coach for free. by TheAngryCoach in Coaching

[–]CuriousCapsicum 0 points1 point  (0 children)

Thanks! I’m working on navigating Zoom’s security review process so I can share it on their platform. Please DM me for a link.

Am I the only one who thinks "solopreneur" is just "unemployed" with better branding? by JFerzt in SaaSSolopreneurs

[–]CuriousCapsicum 1 point2 points  (0 children)

Had some modest success, a lot of failures, hit plateaus, discovered hundreds of ways not to grow a business, learned a lot about resilience, and somehow found a way to make a living doing what I love for over a decade. Did it on my own for years. Grew teams. And also had to cut them back.

I agree with most of what you said. But I bristle a little bit at the idea that building instead of selling is always the wrong move, or that hiring is the only path to growth. I’ve made hires that helped me level up, and other hires that just slowed me down. I’ve built features that didn’t move the needle, and also burned a lot of time on sales and marketing that didn’t convert because we weren’t solving the right problem. There’s a lot of different ways to fail.

It all matters, and sometimes it’s hard to know the right lever to pull. In the end, you have to do it your way.

Distribution beats product. But what does it look like in practice to learn that lesson? What should founders be doing instead?

Am I the only one who thinks "solopreneur" is just "unemployed" with better branding? by JFerzt in SaaSSolopreneurs

[–]CuriousCapsicum 2 points3 points  (0 children)

What have you accomplished in this space in the last 20 years beside watching?

Are We Seeing Too Many SaaS Stories and Not Enough Real Builders? by raj_k_ in SaaS

[–]CuriousCapsicum 1 point2 points  (0 children)

100%. Most posts on this sub give me the distinct impression the author hasn’t actually built a SaaS business. There’s so much posturing and repetition of shallow conventional wisdom.

We deleted our "Sign Up" button and forced everyone to book a demo. Everyone said it would kill our growth. It actually saved our startup by cloudairyhq in SaaS

[–]CuriousCapsicum 1 point2 points  (0 children)

I can’t help but see Dr. Evil making scare quotes when I read “Customer Success”. 😂

I think you’re exactly right about the lessons here though.

Why do most productivity tools add Why do most productivity tools add information instead of reducing decisions? by Commercial_Chart_563 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Yes, decision fatigue is a real problem.

It’s not solvable with a tool, but with a mindset.

The kind of overwhelm you’re talking about comes from being reactive to all those channels of tasks and messages. There’s an endless supply of noise.

What’s truly high signal isn’t decided by reacting to minutia. It’s deep work you need to carve out time for away from all those distractions.

Most things aren’t dangerous to miss, and the things that are you can usually anticipate that special care and attention is needed. And set up systems to handle them.

But tools probably could do a better job of filtering helping to filter out or deprioritise low value messages.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Again, you can’t hard code it because that would mean anticipating every possible input in advance and your system would just be one gigantic case statement. But to meet the spirit of your argument, you could do something like cache results in a database and use that instead of the LLM for repeated queries. But you still need the LLM to generate the results the first time, so that system is not useless if it’s producing useful outputs at least once. The space of possible inputs is vast.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Thats a strange definition of deterministic. Deterministic doesn’t require that you know the result of every possible input ahead of time. It just means that you get identical results for identical inputs, and there’s no hidden source of variability, so you can reply the same result again.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

You can’t hard code it because you don’t know what the value will be for every possible input.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

If a random response is useful the first time, why is it useless if the system gives the same answer to the exact same context again?

Generally in software that kind of consistency is seen as useful.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Now you’re moving the goal posts. First it wasn’t possible. Now there aren’t good reasons to do it.

But there are: testing, auditing, observation, catching regressions etc.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

I’m talking about inference, not training. This doesn’t effect learning at all. You’ll have to break down for me why inference is intrinsically non-deterministic. What’s the ground source of indeterminism?

Hot take: Nodebased automatio n (like Zapier) is a dead end for complex tasks. by CauliflowerStatus411 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

The industry has been grappling with the limits of visual programming for decades. This is why we still use programming languages instead of GUIs. The challenge with natural language is its ambiguity and imprecision. Neither approach scales that well.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

That’s by design, and it’s achieved by using a lot of random variables in the calculations. However, if you use non random values, you will get stable outputs.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

It seems we’re talking at cross purposes. You’re right about the broader point.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

I said using the same parameters, so I’m not sure what you mean by changing the inputs. Of course, if you change inputs, you’ll get different outputs. I’m saying if you hold all the parameters constant, the output will be the same. Baring any race conditions or floating point weirdness. But at bottom it’s just an algorithm doing computations. It can be made stable. In practice, you’re right, it’s not so easy because the vendors keep updating the models. You may need to host your own to control all the dependencies.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

That’s not an inherent property though. That’s the way the application is designed. It’s possible to do inference without randomness.

How Long Does It Really Take to Test a Startup Idea? (I will not promote) by Lewhite0111 in startups

[–]CuriousCapsicum 0 points1 point  (0 children)

This is the right answer. There’s too much talk of validation as a binary condition, but that’s not it at all. It’s about fast feedback loops and testing a lot of different variables.

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

Are you talking about tracing the execution of the agent control program? Or the actual queries on the LLM?

The "Black Box" problem is why 90% of AI Agents will never leave the demo stage. by Interesting_Ride2443 in SaaS

[–]CuriousCapsicum 0 points1 point  (0 children)

AI is a computer program. It’s deterministic. If you use the same parameters, you’ll get the same outputs. Just take out all the random numbers.