You have a "God-level" product. Your pricing is perfect. Your UI is beautiful. So why aren't customers buying? In this video, Ashish breaks down the brutal reality of why great SaaS products fail—and it has nothing to do with your features.Most founders make the mistake of trying to change a company's behavior. In SaaS, if your customer doesn't already have an existing workflow for the problem you’re solving, you aren’t just selling a tool—you’re trying to change a culture. That is a losing battle for early-stage startups.What You’ll Learn- Why "God-level" products still get rejected by the mid-market.- The massive difference between Consumer growth loops and Enterprise reality.

Sam Altman frequently warns that most founders fail not because they don't work hard, but because they choose the "enjoyable path" over the "ambitious path." i.e. fake work.They spend 12 hours a day on Slack, tweaking UI colors, and attending networking events—tasks that feel productive but move the needle exactly zero inches.In this video, I break down a simple 2-circle Venn diagram to help you audit your life.What we cover:

• Why Sam Altman dreads the first and last hour of his day.

• The "Slack Trap": Why internal communication feels like progress (but isn't).

• The Danger Zone: Premature scaling and "Political Theater."

• The 24-Hour Rule: How to filter your tasks for Real Work.

The Bottom Line: We don't fail because we are lazy. We fail because we choose comfort over truth.I’ve been guilty of this myself—polishing a landing page for hours just to avoid making a sales call.

What’s one 'Fake Work' task you’re going to cut from your schedule tomorrow?

Let’s be honest in the comments. 👇

90% of consumer AI ideas look sexy but crash hard — most end up in the “tar pit” with zero real traction or revenue uplift.

For e.g. that new ‘productivity app’, that ‘event discovery platform’ and an all-time fav, ‘friend finder’ :)

In this video, I break down why so many consumer AI startups fail and share a realistic 2×2 framework that separates doomed ideas from winners.

• X-axis: Existing Behavior vs New Behavior

• Y-axis: ARPU * AI, i.e. Low ARPU uplift vs High ARPU uplift from AI (if AI does’t help you increase the TAM / revenue..then what’s the point).

  
  

We cover real examples:

• Why short-news apps or generic AI tools built in hours almost always die (existing behavior + low ARPU)

• The massive opportunity in AI astrology (existing behavior + high ARPU via subscriptions)

• Why AI companions (new behavior + low initial ARPU) are VC catnip right now

• And the mysterious high-ARPU new-behavior quadrant — what could live there?

If you’re building in consumer AI, raising funds, or just trying to spot real opportunities instead of hype, this framework will help you avoid wasting time and money.