Lavanya Saberwal

Lavanya Saberwal

Product enthusiast & MBA Student at LBS
16 points

Forums

Alina Petrova

24d ago

How likely is AGI in the next five years? A look at money vs. science

I came across Deutsche Bank s latest report on AI, and it sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years?

The report highlights a fascinating divergence: the view from money vs. the view from science.

  • Money: the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable.

  • Science: the probability inferred from research papers and AI development models. Experts are far more cautious, suggesting the realistic probability is only 20%.

Nika

25d ago

Losing a social account and a community built over years – how do you protect your account?

Yesterday, I had an unpleasant experience. For a few minutes, I lost my LinkedIn community of several thousand people (TL;DR: I was falsely accused of using suspicious software).

Fortunately, I got my account back but it was a strong reminder that we don t own platforms, nor our profiles on them.

Basedashp/basedashMax Musing

1mo ago

We let AI drive our product roadmap (and it 10x’d our activation rate)

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

Basedashp/basedashMax Musing

1mo ago

We let AI drive our product roadmap (and it 10x’d our activation rate)

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

Cursorp/cursorfmerian

1mo ago

Reverse-engineering Cursor's recent Product Hunt launches

Last month, Cursor launched for the fifth time on Product Hunt in 2025.

The 2024 Product of the Year [1] still hits the charts. They have launched web and mobile agents, a visual editor, and 2.0, consistently ranking in the Top 5 Products of the Day.

Where do you think humanoids will adapt more quickly? In a factory environment or at home?

I just read an article from TechCrunch about how Robotics company 1X has struck a deal to send up to 10,000 Neo humanoid robots originally marketed for home use (but they want to focus on factory use in the future, although that was their original intention).

This made me think about several things:

My problem: founders have no one to talk to when they're emotionally struggling.

1. Describe the problem:

I am a startup founder. My problem is periodic emotional burnout and a certain loneliness on this journey, especially when a project requires a long time and a huge amount of effort to get it off the ground to the first tangible results (on average, this takes 2-3 years).
During the "low points" (once every few months), there is no one to honestly and kindly discuss fear, uncertainty, difficulties, or failure with, without judgment. And at the same time, to get real emotional support to avoid abandoning my project, especially if it is promising.
I don't want to bother my wife and loved ones too much either, and my non-startup friends don't really understand my "pains." Existing communities and mentors solve business problems but don't provide the psychological support of a "brother in arms." I would like to have some kind of safe space for regular group calls where one can vent and get support from other founders.
Perhaps the solution should involve some sort of AI moderator that would facilitate the meetings and guide the entire group for the desired effect, and at the end of the meeting provide useful recommendations and assess the match between group participants.

What's the most frustrating part of the modern job application process?

I've been building ResumeUp.AI to help job seekers, and the feedback I get is wild. Some recurring themes:

  • ATS systems rejecting qualified candidates over formatting

  • "Easy Apply" leading to 500+ applicants per role

  • No response after multiple interview rounds

  • Job descriptions that don't match actual roles

For those hiring, what's broken from your side? Would love to understand both perspectives.

Hiring? Looking for work? [Startup Roles December 2025]

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