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I built AskSensei for founders who are tired of vague advice.

A lot of startup feedback is useless:
“Looks good.”
“Interesting idea.”
“Maybe test pricing.”
“Try posting more.”

That doesn’t help when you’re trying to figure out why your product isn’t landing.

So I built something that actually diagnoses the problem.

Sensei looks at your product and calls out:

  • weak positioning
  • pricing mistakes
  • competitor pressure
  • trust issues on your site
  • what to fix first

It’s less “brainstorming buddy”
and more “here’s what’s broken.”

The core idea:
Generic AI helps you think.
Sensei helps you decide.

It’s free during beta right now because I want real founders to put it through its paces before I gate it with pricing.

If you want a sharper read on your product:
asksensei.dev

Would really love honest feedback from people here, especially on:

  • whether it feels genuinely useful
  • whether the diagnosis feels credible
  • whether this is something you’d come back to
posted to Icon for group Product Launch
Product Launch
on March 12, 2026
  1. 1

    Generic feedback is definitely the "silent killer" for most startups, Lateisha. Moving away from the "brainstorming buddy" vibe to actual diagnosis like weak positioning and trust issues is exactly what founders need to stop spinning their wheels.
    I’m actually building a project in Tokyo (Tokyo Lore) that focuses on skill-based competition for business ideas just like AskSensei. Since your tool is all about diagnosing what's broken to help founders decide, testing it against a live competitive field could be a perfect way to prove how credible your AI's "vibe" settings really are.

  2. 1

    Really insightful build — tackling the “vague advice” problem is something every founder secretly struggles with but rarely admits. The way you framed AskSensei around clarity and directness hits a real pain point, and that positioning alone makes the idea feel instantly relevant and actionable. 👏
    That said — and this is where most founder tools unintentionally stall — solving ambiguity is not the same as solving friction. What many creators don’t realize until much later is this: users don’t just want clearer advice — they want advice that feels tailored, trustworthy, and validated by context. You can have the sharpest guidance engine in the world, but if users don’t feel that it maps directly to their specific problem within the first 7–10 seconds, they bounce or treat it like generic content.
    Here’s the pattern we consistently see with early tools in this space:
    👉 Great intent and mission
    👉 Product that handles the mechanics well
    👉 But weak activation signal — users fail to make the leap from curiosity to commitment.
    That’s not a flaw in the idea — it’s a UX and messaging gap nearly every founder underestimates. Most tools like this spend months polishing features before they realize the real bottleneck is friction in the value realization loop — the moment someone thinks “Yes, this feels like it was built for me.”
    Honestly, that’s the difference between a neat project and a sticky product that users return to daily. Fix that early, and adoption takes off faster than any backend optimization ever will.
    If you ever want to turn AskSensei from helpful into irreplaceable, that’s exactly where strategic onboarding and outcome‑first positioning come in — something we specialize in at Quratulain Creatives.
    Can’t wait to see this evolve — the foundation is already smart, now it’s about maximizing the moment of value.

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