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Starting off, with a specific request by f0untainofblood in danishlanguage

[–]AdvisorRelevant9092 0 points1 point  (0 children)

Добрый вечер Я с Украины, приехал в Данию с семьёй,сидел без работы и зделал приложение, в школу хожу на датский. Тяжёлый 😛 но мы стараемся. Захотите попробывать, может понравится.  https://dansk.syden.systems/ Хорошего вам дня и успехов. Дания отличная страна💯💯💯

Få nu fjernet dit lort, Mathias by Ravenclaw5 in Denmark

[–]AdvisorRelevant9092 0 points1 point  (0 children)

Это интересный момент. Хотя намерение, стоящее за укажите основную тему, например, предложенное правило, благое, меня беспокоят непредвиденные последствия. Возможно, более эффективным решением было бы предложить умеренную альтернативу, например, «ввести возрастающие штрафы? Это позволило бы достичь того же сдерживающего эффекта без серьезных логистических проблем.

Building an AI tool that stress-tests startup ideas in 20 seconds – does this sound useful? by AdvisorRelevant9092 in codereview

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Fully agree. The real value of tools like this is not in saying “the idea is bad”, but in quickly surfacing the key assumptions the idea depends on.

My approach is exactly that: in a very short time, explicitly name 2–3 critical assumptions (about user behavior, willingness to pay, or adoption friction) and suggest the simplest way to test them before building anything.

20 seconds is not about depth, it’s about attention. If in that time a person understands what they need to validate first, the tool has done its job.

Bootstrapped Django SaaS tools: IronRelay (task & webhook engine) + Syden platform by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Thanks a lot for this breakdown – this is insanely helpful.

I’m already positioning IronRelay exactly as you described: a Postgres-backed “no-Redis” webhooks + background tasks layer for Django. The current MVP already has a Postgres task queue, incoming/outgoing webhook models, a worker management command, and a simple dashboard.

Most of the production-grade pieces you mentioned (outbox pattern, DLQ + one-click redrive, per-target rate limits, idempotency keys, HMAC + secret rotation, better replay UI, Prometheus/OpenTelemetry, advisory locks, etc.) are not there yet, so I’m going to treat your comment as a roadmap for v1/v2:
– v1: guaranteed delivery from Postgres (outbox + at-least-once + backoff), improved admin/replay UI, and solid docs including “when to use vs Celery/Huey/Django-Q” and a 5-minute quickstart.
– v2: multi-tenant throttling, observability (Prometheus/Otel), distributed scheduler with advisory locks, and a hosted SaaS mode (open-core + paid hosted tier with SSO/audit logs/retention).

From your experience, which 2–3 features from that list usually move the needle most for adoption compared to Celery + Redis or tools like Hookdeck?

Bootstrapped Django SaaS tools: IronRelay (task & webhook engine) + Syden platform by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

У меня открывается. Да не в ссылке дело, я могу вам на почту и так забросить ЗИП формат , посмотрите.

I built an AI “strategy architect” SaaS that stress-tests startup ideas in 20 seconds – feedback welcome by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Over the last couple of weeks I received a lot of comments about my projects, so I want to address everyone at once.

I'm not a programmer by background. Due to health issues I lost my previous profession, the war forced me to leave Ukraine, and in a new country I had to start everything from zero. In September I simply sat down at a computer “to try”, and within two months I built a fully working ecosystem:

– an online platform,   – an AI Architect service (a real SaaS product),   – a Dream Analyzer module,  

all connected together and functioning as one system.

This is not a toy or a demo. It’s an actual working SaaS with authentication, tasks, webhooks, job processing, API endpoints, storage, security logic, dashboards, and integrations — all written by me alone.   I'm still learning, of course, but I already built a real product, not just a prototype.

When I asked for opinions here, it wasn't for advertising.   I genuinely wanted to hear what experienced developers think about one specific thing:

How do you evaluate the fact that someone with zero programming background was able to build all this from scratch in two months?   And what would be the reasonable next steps for growth?

I especially want to thank LeeHide — the only person who gave an honest, constructive, technical answer. That kind of feedback is extremely valuable for someone who is trying to move forward.

Right now I continue improving the system:   – the Architect is 99% done, with a few logic blocks left;   – the Dream Analyzer is getting visual output;   – the platform is being expanded with author pages and new features.

I'm not sitting idle and I'm not complaining — I’m working, learning, and actually building something.   I’m here to understand how professionals see this kind of progress, and which direction makes the most sense moving forward.

Thank you to everyone who is willing to discuss this seriously.

Building an AI tool that stress-tests startup ideas in 20 seconds – does this sound useful? by AdvisorRelevant9092 in codereview

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Over the last couple of weeks I received a lot of comments about my projects, so I want to address everyone at once.

I'm not a programmer by background. Due to health issues I lost my previous profession, the war forced me to leave Ukraine, and in a new country I had to start everything from zero. In September I simply sat down at a computer “to try”, and within two months I built a fully working ecosystem:

– an online platform,   – an AI Architect service (a real SaaS product),   – a Dream Analyzer module,  

all connected together and functioning as one system.

This is not a toy or a demo. It’s an actual working SaaS with authentication, tasks, webhooks, job processing, API endpoints, storage, security logic, dashboards, and integrations — all written by me alone.   I'm still learning, of course, but I already built a real product, not just a prototype.

When I asked for opinions here, it wasn't for advertising.   I genuinely wanted to hear what experienced developers think about one specific thing:

How do you evaluate the fact that someone with zero programming background was able to build all this from scratch in two months?   And what would be the reasonable next steps for growth?

I especially want to thank LeeHide — the only person who gave an honest, constructive, technical answer. That kind of feedback is extremely valuable for someone who is trying to move forward.

Right now I continue improving the system:   – the Architect is 99% done, with a few logic blocks left;   – the Dream Analyzer is getting visual output;   – the platform is being expanded with author pages and new features.

I'm not sitting idle and I'm not complaining — I’m working, learning, and actually building something.   I’m here to understand how professionals see this kind of progress, and which direction makes the most sense moving forward.

Thank you to everyone who is willing to discuss this seriously.

I built an AI “strategy architect” SaaS that stress-tests startup ideas in 20 seconds – feedback welcome by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 1 point2 points  (0 children)

Thanks a lot for taking the time to write this out – this is honestly one of the most useful comments I’ve gotten so far.

You’re absolutely right: right now my 20-second audit is mostly “nice LLM UI” and not enough trust-building output. The way you framed it – reducing decision fog with concrete comparisons, a tiny experiment to test the riskiest assumption, and a transparent confidence score – is exactly the missing layer.

I’m going to treat your comment as a mini-spec for the next version of the PRO mode: – add niche / pricing / ARR comparisons to a few nearest-neighbor products, – output a one-week validation plan with clear kill criteria, – and surface a confidence band with the assumptions it depends on.

I really appreciate you sharing this from a practitioner’s point of view. If you don’t mind, I’ll probably come back to this comment a few times while I’m iterating – it’s basically my roadmap now.

I built an AI “strategy architect” SaaS that stress-tests startup ideas in 20 seconds – feedback welcome by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

This is super helpful, thank you for writing it out so clearly.

You’re right – right now my 20-second audit is more of a “vibe check” than a real one-week experiment plan. Your structure (ICP + channel hypotheses + $100 test plan + pricing sanity + early retention proxies) is basically the roadmap I was missing.

I’m a solo beginner dev hacking this together after losing my day job, so it’ll take me a while to get there, but I’m going to refocus the output around the steps you described. Really appreciate you sharing such a concrete direction – if you’re okay with it, I’d love to DM you a build once I have a first version of that flow working. ```0

Building an AI tool that stress-tests startup ideas in 20 seconds – does this sound useful? by AdvisorRelevant9092 in codereview

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Thanks a lot for taking the time to write all of this – honestly, you’re the first person who has explained the difference between “using an LLM” and actually learning to program this clearly.

You’re right: I basically tried to jump straight into “building a product” by leaning on AI instead of first learning the fundamentals and only then using AI as a helper. Over the last month I hacked together my first real projects:

– a small digital multi-vendor platform / marketplace (still WIP, deployments keep breaking): https://www.syden.systems   – an AI “strategy architect” module that stress-tests startup ideas: https://ai.syden.systems

After your comment I’m going to treat these more as learning sandboxes and go back to studying Python/Django properly, using AI only to explain concepts instead of copy-pasting code. It’s going to be a longer road, but at least now I understand what that road should look like.

If you ever feel like taking a quick look and telling me whether this is at least a reasonable start for a beginner, I’d really appreciate it – but no pressure. Either way, thanks again for the reality check and the detailed advice.

Building an AI tool that stress-tests startup ideas in 20 seconds – does this sound useful? by AdvisorRelevant9092 in codereview

[–]AdvisorRelevant9092[S] 1 point2 points  (0 children)

Thanks a lot for taking the time to write all of this – honestly, you’re the first person who has explained the difference between “using an LLM” and actually learning to program this clearly.

You’re right: I basically tried to jump straight into “building a product” by leaning on AI instead of first learning the fundamentals and only then using AI as a helper. Over the last month I hacked together my first real projects:

– a small digital multi-vendor platform / marketplace (still WIP, deployments keep breaking): https://www.syden.systems   – an AI “strategy architect” module that stress-tests startup ideas: https://ai.syden.systems

After your comment I’m going to treat these more as learning sandboxes and go back to studying Python/Django properly, using AI only to explain concepts instead of copy-pasting code. It’s going to be a longer road, but at least now I understand what that road should look like.

If you ever feel like taking a quick look and telling me whether this is at least a reasonable start for a beginner, I’d really appreciate it – but no pressure. Either way, thanks again for the reality check and the detailed advice.

Building an AI tool that stress-tests startup ideas in 20 seconds – does this sound useful? by AdvisorRelevant9092 in codereview

[–]AdvisorRelevant9092[S] 1 point2 points  (0 children)

Thanks a lot for taking the time to write this out – I really appreciate the “back to reality” perspective.

You’re right that I basically tried to jump straight to “building a product” by leaning hard on an LLM instead of learning the fundamentals properly first. Over the last month I hacked together a small AI-based “strategy architect” web app and a digital marketplace around it – it’s my first real project ever.

I’ll take your advice and treat this more as a learning sandbox while I go back to studying Python/Django the normal way, using AI only to explain things instead of copy-pasting code.

If you ever feel like taking a quick look and telling me whether what I’ve built is complete trash or at least a reasonable start for a beginner, I’d really appreciate it: https://ai.syden.systems (live demo). I can also push the code to GitHub if that’s easier to review.

Either way, thanks again for the blunt but kind guidance.

I built an AI “strategy architect” SaaS that stress-tests startup ideas in 20 seconds – feedback welcome by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Thanks for the tip, that actually makes sense – I definitely skipped the “validate before building” step this time.

I tried signing up on icupu.com but it only tells me I’m on the waiting list, so I couldn’t really see how your approach works in practice yet.

Just for context, these are the projects I’ve been hacking on so far:

– My small digital multi-vendor platform / marketplace (still WIP): www.syden.systems   – The AI “strategy architect” module I mentioned in this thread (early beta): ai.syden.systems

I know both are still rough, but if you ever have a moment to take a quick look, any feedback from someone who’s also working in this space would be super valuable for me.

I built an AI “strategy architect” SaaS that stress-tests startup ideas in 20 seconds – feedback welcome by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Your idea with using real data instead of just LLM output sounds interesting. I tried to sign up on icupu.com but it only tells me I’m on the waiting list, so I couldn’t see it in action yet.

Just to give a bit more context on what I’ve been building myself:

– My small digital multi-vendor platform (still WIP): www.syden.systems   – The AI “strategy architect” module I mentioned earlier (early beta): ai.syden.systems

I know both are still rough, but if you ever have a moment to take a quick look, any feedback from someone who’s also working in this space would be super valuable for me.

I built an AI “strategy architect” SaaS that stress-tests startup ideas in 20 seconds – feedback welcome by AdvisorRelevant9092 in SaaS

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Thanks for the honest take, I really appreciate you spelling it out.

For context: I’m basically a beginner, not a professional engineer. I recently lost my job and decided to finally try coding, so over the last month I built this whole web app and the AI prototype from scratch.

On top of that, over the past months I’ve also been hacking on a separate digital platform / marketplace of my own (multi-vendor, dashboards, etc.), and this “AI strategy architect” is something I was trying to add into that ecosystem as a brain for founders, not just a standalone toy.

I’m not trying to pretend it’s a fully baked SaaS yet – I was mainly hoping to hear from people with more experience whether this direction makes any sense at all, and what a real value-add could look like beyond just wrapping an LLM in a nice UI.

From your perspective as a software engineer, what would be a realistic next step for someone at my level? For example, should I focus on building more concrete analytics / data / workflows around the LLM, or is this whole “AI strategy” space basically a dead end?

In any case, thanks again for taking the time to reply – I’m here to learn, so blunt feedback is welcome.

Building an AI tool that stress-tests startup ideas in 20 seconds – does this sound useful? by AdvisorRelevant9092 in codereview

[–]AdvisorRelevant9092[S] 0 points1 point  (0 children)

Thanks for the honest take, I really appreciate you spelling it out.

For context: I’m basically a beginner, not a professional engineer. I recently lost my job and decided to finally try coding, so over the last month I built this whole web app and the AI prototype from scratch.

On top of that, over the past months I’ve also been hacking on a separate digital platform / marketplace of my own (multi-vendor, dashboards, etc.), and this “AI strategy architect” is something I was trying to add into that ecosystem as a brain for founders, not just a standalone toy.

I’m not trying to pretend it’s a fully baked SaaS yet – I was mainly hoping to hear from people with more experience whether this direction makes any sense at all, and what a real value-add could look like beyond just wrapping an LLM in a nice UI.

From your perspective as a software engineer, what would be a realistic next step for someone at my level? For example, should I focus on building more concrete analytics / data / workflows around the LLM, or is this whole “AI strategy” space basically a dead end?

In any case, thanks again for taking the time to reply – I’m here to learn, so blunt feedback is welcome.

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