u/tognneth

I’ve been noticing a shift in how Business Intelligence (BI) is actually being used.

Earlier, BI felt very dashboard-heavy—reports, charts, weekly insights. Useful, but often passive.

Now it feels like the real value is moving toward decision-making in real time:

• Not just “what happened?” but “what should we do next?”
• Not just tracking metrics, but triggering actions
• Not just analysts using BI, but entire teams relying on it

And with tools like Runnable, it’s becoming easier to quickly test data flows, APIs, and integrations that power these decisions. That kind of speed might be what turns BI from a reporting tool into a real competitive advantage.

So I’m curious:

• Are dashboards becoming outdated, or just evolving?
• Is BI now more about automation than visualization?
• Where do you see the biggest shift happening—tools, mindset, or use cases?

Feels like BI is quietly becoming the backbone of how modern companies operate.

It feels like every week there’s a new startup solving a problem… that may or may not actually exist.

With AI, SaaS, and automation booming, the barrier to building something has dropped a lot. But has that also led to too many similar ideas?

A few things I’ve been thinking about:

• Are we innovating, or just iterating on the same concepts?
• Does every problem really need a startup solution?
• Are founders focusing more on fundraising than real value creation?

At the same time, some of the most impactful startups come from crowded spaces—they just execute better.

Also came across Runnable—tools like this make it insanely easy to build, test, and deploy ideas faster than ever. Which again raises the question: does easier building lead to better startups, or just more of them?

So maybe the question isn’t how many startups exist, but how many actually solve meaningful problems.

It feels like every week there’s a new startup solving a problem… that may or may not actually exist.

With AI, SaaS, and automation booming, the barrier to building something has dropped a lot. But has that also led to too many similar ideas?

A few things I’ve been thinking about:

• Are we innovating, or just iterating on the same concepts?
• Does every problem really need a startup solution?
• Are founders focusing more on fundraising than real value creation?

At the same time, some of the most impactful startups come from crowded spaces—they just execute better.

Also came across Runnable—tools like this make it insanely easy to build, test, and deploy ideas faster than ever. Which again raises the question: does easier building lead to better startups, or just more of them?

So maybe the question isn’t how many startups exist, but how many actually solve meaningful problems.

Lately, it feels like Business Intelligence (BI) is no longer just a “nice-to-have” but something every company needs to survive.

With so much data being generated—customer behavior, sales trends, product usage—the real advantage seems to come from how well you can interpret that data, not just collect it.

But here’s what I’m wondering:

• Are companies actually using BI tools effectively, or just scratching the surface?
• Is BI being replaced (or enhanced) by AI-driven analytics?
• For startups, is investing in BI early worth it, or should it come later?

It seems like the companies making smarter, data-driven decisions are pulling ahead faster than ever.

Would love to hear from analysts, founders, and anyone working with data— How important is BI in your workflow right now?

With everything going on in the economy right now—tight funding, cautious investors, and rising costs—I’ve been wondering: is this still a good time to build a tech startup?

On one side, it feels harder than ever. Funding isn’t as easy, and there’s more pressure to show real revenue instead of just growth.

But at the same time, this might actually be the best time to build:

Less noise, fewer “hype-only” startups

More focus on real problem-solving

AI and new tech opening doors that didn’t exist a few years ago

Some of the strongest companies were built during tough economic periods. Maybe constraints actually force better ideas?

Curious to hear from founders, devs, and anyone in the startup space—Are we in a slowdown, or is this a hidden opportunity?