Why I built NeoShift BI — and what I learned analyzing 409 startup post-mortems

Hey PH community 👋 I'm Donald, a solo developer based in Jakarta.

Before our official launch later this month, I wanted to share a data point that completely changed how I'm building my product.

Right now, the timeline is flooded with the narrative that anyone can "vibe code" an AI wrapper over the weekend and instantly find success. But nobody talks about what happens when an incumbent clones your feature in an afternoon.

I wanted to look past the hype, so I dropped a Kaggle dataset of 409 real startup post-mortems into NeoShift BI (the data analytics platform I’m building) and had our Claude-powered AI analyze the failure points.

The reality check was brutal:

• Only 18.8% failed because they ran out of runway.

• 75.3% were completely crushed by established Giants and intense market competition.

We spend 90% of our time worrying about budget and UI, when the real threat is defensibility. Execution is cheap right now. For solo devs to survive, the data points toward "strategic invisibility"—targeting micro-niches that are too small for giants to justify the opportunity cost.

That’s exactly why I built NeoShift BI. It’s a lightweight BI tool tailored for indie hackers and SMEs. Instead of needing a data engineering team, you can drop in a dataset (or use our new AI Semantic Scraper to pull data directly from any website) and get a full dashboard with AI-generated insights in minutes. It helps you find those micro-niches faster.

My question for the community: If you are building right now, what is your actual moat? Are you going hyper-niche, or are you trying to out-execute the big guys?