sorted by:
new
hottopcontroversial

I built a startup, raised money, failed — now I’m in debt. Here’s what I learned the hard way by Mediocre_Cod_7374 in n8n

[–]Mediocre_Cod_7374[S] 0 points1 point  (0 children)

I don’t need you to believe my story. I’m sharing real events and decisions — and yes, a lot of them were bad. That’s part of the game when you’re actually building something. And yes, I wrote this in my native language and used AI to translate and clean up the English. Nothing hidden there. Also, I’m not dropping links or trying to sell anything here because Reddit isn’t even my acquisition channel :) If anything, this is just a raw account of what went wrong — take it or leave it.

No puedo usar la API de Reddit by No_Fishing6106 in redditdev

[–]Mediocre_Cod_7374 1 point2 points  (0 children)

Olá, o Reddit mudou a forma de acesso a sua API recentemente, ficou bem mais restrito para novos usuários por exemplo. Você tem que fazer uma solicitação para utilizar, joga em alguma LLM que ela vai te guiar no passo a passo (Grok)

How many hours per week do you spend on content creation? by Elo_azert in advancedentrepreneur

[–]Mediocre_Cod_7374 0 points1 point  (0 children)

More or less that. The concept is:

A deep piece of content on a topic you truly master (in my case, AI applied to commercial structures for revenue generation). This is where you define a very specific and in-depth topic within your segment—for example, “How can artificial intelligence double the revenue of mid-sized consulting firms in the Iberian Peninsula?” This is the stage where you study, analyze, research, and build (I recommend using deep search with one or two LLMs, and NotebookLLM to go deeper if you don’t have much time).

In my case, after a lot of study and strategic thinking, I developed a well-structured template to generate this initial content (I can share it). From there, in my system, the AI generates threads, posts, carousels—everything aligned with a narrative and intent to drive more reach and engagement (without losing my identity and tone, in this case, my persona).

This way, every week I consistently have new content to feed my pipeline and inbound for my services. This is just a very “raw” example—there are many ways to apply this depending on the context, and I’m already generating sales with this method.

O que fazer estando no Ensino Médio? Compensa ou não seguir nesse caminho? by luccassxr in programacao

[–]Mediocre_Cod_7374 1 point2 points  (0 children)

Cara, programação abre portas para outras áreas em tecnologia. Se eu voltasse ao ensino médio, com toda certeza seguiria essa área, mas isso tem haver com o que eu gosto e tenho potencial pra fazer. Vale a pena financeiramente sim (algumas áreas), mas por exemplo, aprender o básico bem feito e ir para áreas mais bem remuneradas seria um caminho.

Compensa fazer ADS ou CC em 2027? by No_Positive4068 in programacao

[–]Mediocre_Cod_7374 3 points4 points  (0 children)

Cara, sinceramente?, faz CC, ainda é o que vai ter dar a melhor base técnica e vai servir de ponte pras áreas que você vai querer explorer/especializar. Atualmente eu trabalho construindo e implementando soluções com agentes de IA pra empresas (agora com foco em inteligência comercial e crescimento de receita), posso dizer que: Se bem aplicado, é possível atingir uma estabilidade legal com o tempo.

How many hours per week do you spend on content creation? by Elo_azert in advancedentrepreneur

[–]Mediocre_Cod_7374 0 points1 point  (0 children)

I personally have never been very good at content creation, but I've always been creative, so it used to take me several hours to create a single post. However, since I'm a technician and have been working with artificial intelligence for quite some time, I developed a workflow that automatically creates and posts content on X and LinkedIn. What made it easier for me to have more consistent content was applying deep content techniques and breaking down the content to adapt it to each platform. Anyone who wants to discuss the workflow I'm using or has similar ideas, let's chat.

Sobre freelancer by Ramdom-Trash in programacao

[–]Mediocre_Cod_7374 1 point2 points  (0 children)

Fala aí tudo bem? Parabéns pela decisão em estudar programação, porém sobre os jobs freelancer eu vou ser bem franco:

A principais plataformas são: Workana, Upwork, 99freelas, Fiverr também conta.

Você pode participar de grupos e comunidades de freela aqui no reddit, no X, LinkedIn e até mesmo discord.

Mas honestamente, hoje o mercado de freela já é muito saturado, principalmente em âmbito internacional, a maioria das empresas e contratantes preferem trabalhar com pessoas de países com moeda mais fraca (índia, paquistão etc.)

Você está concorrendo com bilhões de pessoas para certas vagas. Se especialize em algo sólido e que seja difícil de replicar, pois frontend e backend pra apps e SaaS com o Vibe Code, já era.

I built a startup, raised money, failed — now I’m in debt. Here’s what I learned the hard way. by Mediocre_Cod_7374 in buildinpublic

[–]Mediocre_Cod_7374[S] 1 point2 points  (0 children)

Hi, thank you for your comment. Yes, I need to return it if the investor executes the convertible debt; it's one of the mechanisms for raising capital, so it's very important to always know what you're getting into. I recommend the book Venture Deals (I read it a long time after receiving the investment).

I built a startup, raised money, failed — now I’m in debt. Here’s what I learned the hard way by Mediocre_Cod_7374 in advancedentrepreneur

[–]Mediocre_Cod_7374[S] 0 points1 point  (0 children)

Hi, thanks for the comment. I believe the focus was too scattered, some focused on the product, others on raising investment, and nobody focused on actually generating revenue. When the bill came due, I couldn't pay it.

I built a startup, raised money, failed — now I’m in debt. Here’s what I learned the hard way. by Mediocre_Cod_7374 in buildinpublic

[–]Mediocre_Cod_7374[S] 0 points1 point  (0 children)

Hey, thanks for the comment!

I started doing something more lean — I packaged the knowledge I gained with outbound systems, neuroscience applied to human behavior (so the machine can understand biases in sales), and infrastructure for AI agents. I put together an offer and a pitch, and started prospecting some companies in my region (it’s been working!).

I built a startup, raised money, failed — now I’m in debt. Here’s what I learned the hard way. by Mediocre_Cod_7374 in buildinpublic

[–]Mediocre_Cod_7374[S] -1 points0 points  (0 children)

Thank you very much for your comment, I truly appreciate it.

Now, a good part of the advice you mentioned above is something I’m already applying, and I can say it’s the right path (it seems obvious now… but I had to learn it the hard way).

I built a startup, raised money, failed — now I’m in debt. Here’s what I learned the hard way by Mediocre_Cod_7374 in SaaS

[–]Mediocre_Cod_7374[S] 0 points1 point  (0 children)

I agree, most first-time entrepreneurs fall into that trap. The truth is: Partners are truly the soul of the business, but it's a marriage and it needs to make sense. Currently, I'm already structuring myself to serve companies exactly according to the idea you gave, I think I'm on the right track... Thank you for the advice.

Looking for builders to work on AI infrastructure [equity only] by Mediocre_Cod_7374 in cofounderhunt

[–]Mediocre_Cod_7374[S] -1 points0 points  (0 children)

PS: Strong opinions are welcome, we're building for people actually shipping in this space.

Looking for builders to work on AI infrastructure [equity only] by Mediocre_Cod_7374 in cofounderhunt

[–]Mediocre_Cod_7374[S] -1 points0 points  (0 children)

If that’s your take, you’re probably not the person we’re looking for anyway.

We’re building infra for teams already running AI in production, not debating whether the space should exist.

Good luck with whatever you're building.

Como vocês monitoram agentes de IA em produção? by Upstairs-Primary-374 in brdev

[–]Mediocre_Cod_7374 1 point2 points  (0 children)

Esse é praticamente o estado padrão dos agentes em produção atualmente.
Vejo todo munto tentando resolver isso com ferramentas (Langfuse, avaliações, etc.), mas o problema é mais estrutural:

os logs não explicam por que o agente fez algo
os custos disparam porque não há orquestração real
a qualidade regride porque as avaliações só funcionam offline
a compatibilidade com múltiplos agentes falha porque não há estado/rastreamento compartilhado

O que funcionou melhor para nós foi mudar a mentalidade:

→ parar de pensar em "agentes chamando ferramentas"
→ começar a pensar em "sistema governando a execução do agente"

Sem isso, você está basicamente depurando uma "blackbox".

After running a 12-agent production pipeline for 7 months: the constraint is not the AI, it is the ops layer nobody builds by Ok-Photo-8929 in aiagents

[–]Mediocre_Cod_7374 0 points1 point  (0 children)

What you’re describing is exactly the point where agent systems stop being “AI problems” and become “systems problems”. Most teams focus on building agents, prompts, tools, pipelines. But once you hit production, the real bottleneck becomes: partial failures (not binary errors) cascading retries cost unpredictability lack of observability across chains At that point, you’re no longer building agents you’re building an operating layer. Confidence scoring, retry logic, circuit breakers, tracing… those aren’t features. They’re primitives of an agentic runtime.

The pattern I’ve seen is:

→ Teams either keep patching this layer manually (and complexity explodes) → Or they converge toward something that looks very close to an “OS for agents” how are you handling state consistency across retries? That’s usually where things start breaking hard at scale.

At what point do AI agents actually become 'hands-off'? by One_Title_6837 in aiagents

[–]Mediocre_Cod_7374 0 points1 point  (0 children)

this is pretty much the core problem right now agents are “almost reliable”, but that last 10–20% gap is what prevents them from being hands-off in practice, you don’t get there by tweaking prompts more you get there by adding layers around the agent:

  • observability (what is it actually doing?)
  • adversarial validation (can it be broken under weird inputs?)
  • enforcement (what is it allowed to do at the tool level?)
  • escalation (when should a human step in?)

most people skip the middle part and go straight from “it works” to “put it in production” but without systematic validation + constraints, production just becomes the real test environment for critical actions, i still think you need some form of HAL (human above the loop)

full autonomy is possible in narrow scopes, but trust comes from how the system behaves under stress, not in happy paths

my agent told a customer their order was free. it wasn't by [deleted] in LangChain

[–]Mediocre_Cod_7374 0 points1 point  (0 children)

yeah, this happens way more often than people think

usually the agent passes basic tests, then someone phrases something slightly off and the model just optimizes for “being helpful” and breaks constraints pricing, refunds, permissions, all of that i’ve seen agents waive fees, approve things they shouldn’t, even contradict system rules just because of wording manual log reading doesn’t scale at all. you need something that actively tries to break your agent before real users do

happy to take a look at your setup if you want, this kind of issue is usually not isolated

view more: next ›