Product Growth

1 week ago | news.aakashg.com | Aakash Gupta

Check it out on Apple, Spotify, or YouTube. Brought to you by:Miro: The innovation workspace is your team’s new canvasJira Product Discovery: Plan with purpose, ship with confidenceMaven: Get $100 off Aman’s course with my code ‘AAKASHxMAVEN’Amplitude: Test out the #1 product analytics and replay tool in the marketEvery PM has to build AI features these days.

2 weeks ago | news.aakashg.com | Aakash Gupta |Nancy Li

I haven’t told this story before. It was my sophomore year of college, in chilly Ann Arbor, Michigan. As part of my consulting club, I was doing strategy work for a local startup. The founders loved me. And they were growing super fast. So, one day they asked: Founder: Want to stay on after this project? Aakash: Definitely!Founder: So… what will you do? Aakash: I know how to code and there’s lots we need to build!Founder: Say no more.

2 weeks ago | news.aakashg.com | Aakash Gupta

Check it out on Apple, Spotify, or YouTube. Brought to you by:WorkOS: Your app, enterprise readyJira Product Discovery: Plan with purpose, ship with confidenceThe AI Evals Course for PMs & Engineers: You get $800 with this linkProduct Faculty: Get $500 off the AI PM certification with code AAKASH25“My whole Product, design, and engineering team has v0 licenses.” That’s what Jeremy Epling, CPO at Vanta, said in a recent episode. So, I went straight to the source.

3 weeks ago | news.aakashg.com | Aakash Gupta

Check it out on Apple, Spotify, or YouTube. Brought to you by:Amplitude: The market-leader in product analyticsJira Product Discovery: Build what matters to business and usersThe AI Evals Course for PMs & Engineers: Use code “ag-product-growth” to get $800 offThis story is wild. Brett Williams (better known as Brett from DJ on X) built a design business over a weekend, scaled it to $80K/month… and still didn’t quit his job. Now he has, and he runs a $2M/year one-person business.

3 weeks ago | news.aakashg.com | Aakash Gupta |Hamel Husain

Just like you can't be a PM without using analytics, you can't be a PM on AI products without evals. Unlike traditional software, LLM pipelines do not produce deterministic outputs. A response may be factually accurate but inappropriate (i.e., the “vibes are off”). They may sound persuasive while conveying incorrect information. The core challenge is: How do we assess whether an LLM pipeline is performing adequately?And how do we diagnose where it is failing?