u/nickbiiy_ai — reddlx

6 failed startups later, I finally learned to validate first. Roast my idea for #7 before I build it.

I have shipped 6 startups. Most of them died because I built first and looked for demand later. Classic developer disease.

Before I touch the keyboard on startup #7, I want to actually pressure-test the idea before falling for the same mistake.

The concept: An agent that scans GitHub issues, Reddit, Hacker News, Product Hunt, Indie Hackers, G2 and Capterra (comments included, because that is where the real pain leaks out). It surfaces problems that get mentioned repeatedly and scores each one from 1 to 10 based on how often it shows up, how emotionally charged the language is, and whether people are already paying for bad workarounds.

10 means "people are actively asking for someone to build this."

Once you ship something for a high-scoring problem, the same agent runs personalized outreach to the exact people who voiced that pain in the first place. So you get validated demand on the way in, and warm prospects on the way out.

Two things I genuinely want feedback on:

Is "pain scoring" too fuzzy to be useful, or would a 1 to 10 signal actually change how you decide what to build next?
What is the part of this that would make you NOT use it? I would rather find the deal-breaker now than after 6 months of building.

Not trying to pitch anything. I do not have a landing page, a waitlist, or even a name for it yet. Just trying to avoid making startup #7 the 7th graveyard project.

What would you find value from a tool like this?

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u/nickbiiy_ai — 16 hours ago

▲ 3 r/buildinpublic

Seeking assistance before rebuilding, I built something that works but nobody is signing up. Help me figure out why.

Since January I've been building Agentible, an AI platform that handles lead gen, qualification, and cold outreach in one system.

I built it as one platform on purpose. These three problems are connected in an all in one platform but It keeps hurting my SEO.

Four months in, the product works. But I'm not getting traction.

The feedback I keep hearing is the same: pick one thing. Now I'm deciding between three paths. Strip it back to one focused entry point and expand later. Find a tighter ICP who already feels the pain across all three. Or build three smaller focused apps that each solve one piece and funnel into the main platform.

Each feels defensible. Each feels risky.

For anyone who's shipped something that does multiple things: did narrowing it down actually unlock traction, or did it just shrink the problem?

reddit.com

u/nickbiiy_ai — 7 days ago

▲ 10 r/AiBuilders

Been thinking about this a lot as more people in this space ship with the likes of Lovable, Replit, Bolt, v0, etc.

The prototype is not the product. The prototype is proof the idea works. Those are very different things, and I don't think we talk about the gap enough.

Here's the iceberg that comes after the 20-minute build:

Scale kills vibes first. Your prototype ran on one happy path with you as the only user. Real traffic means your DB needs proper indexing, your API needs rate limiting, and your auth flow needs actual session handling not the bare minimum that passed the demo. The first 100 users will find every assumption you made.

Deployment is its own discipline. CI/CD pipelines, Docker, staging environments, rollback strategies "click deploy" works until you need to undo a bad release at 2am with no rollback plan. That's a different skill set from building the thing.

The boring infrastructure is most of the job. Load balancers, message queues, logging, monitoring, CDNs none of this shows up in the demo video. All of it shows up in your incident channel.

Security is the floor, not a feature. One leaked API key and the whole "built this in a weekend" narrative ends fast.

The unsexy truth: the flashy 20-minute build is maybe 20% of shipping a real product. The other 80% is infrastructure, error handling, testing, and things that don't make the launch tweet.

Vibe coding is genuinely great for compressing validation from weeks to hours. But treating the prototype as the finish line is how you end up with 10,000 users and a system that crashes every Tuesday.

Curious to know what broke first when you tried to take your AI-built MVP to production?

PS: After creating 6 SaaS Apps 100% vibe-coded, 4failed on launch, 2 survived until 1 died after 6weeks and 1 still works to date with a total revenue of $199.

u/nickbiiy_ai — 15 days ago