Anthropic just walked into the two fastest-growing product categories in AI and said "we'll take it from here."Prototypes. Lovable hit $400M ARR with 146 employees. Cursor is valued at $29.3B. Bolt, v0, Replit Agent. A $48B+ vibe-coding category built entirely on foundation model inference.Slides and one-pagers. Gamma hit $100M ARR with 52 employees at a $2.1B valuation, 70 million users, profitable. Tome, https://t.co/JTgqzJ7mhC, Canva's AI slide generator all sitting in the same surface area.C
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Anthropic just walked into the two fastest-growing product categorie…
63.6M views1 month ago
x.comAakash Gupta
The hardest round in any $1M+ AI PM interview is system design. And most PMs have never trained for it.Six months ago, "AI PM interview" meant product sense with an AI flavor. "How would you evaluate ChatGPT search." "What would you build at Anthropic." Now the round that decides the offer is a 40 minute live system design where you architect a proactive ML system from scratch.Example question: design a churn prediction system for a SaaS product. If your answer is "flag users after 3 to 4 suppor
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The hardest round in any $1M+ AI PM interview is system design. An…
13.5K views1 month ago
x.comAakash Gupta
The behavioral round gets you through the door. AI product sense decides the size of your offer.Most AI PM candidates I've coached have this backwards. They drill behavioral prep for weeks and treat product sense as something they'll figure out live in the room when the question comes up.That's how you end up with an offer at a level you didn't want, with no leverage to push back.The pattern across our cohort: candidates who can actually demonstrate AI product sense are landing offers at the lev
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The behavioral round gets you through the door. AI product sens…
4K views2 weeks ago
x.comAakash Gupta
The cheapest insurance in your AI PM job search is overprepping for AI product sense.Most candidates I coach prep for the wrong rubric. They walk in expecting traditional product sense, the kind every PM prep guide has taught for the last 5 years:CIRCLES and templates as the frameworkUser segments by demographicsCreativity and empathy as the headline rubricRecycled answers that worked for every candidate before themThat rubric scores 5-6/10 in an AI product sense round.The new rubric is differen
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The cheapest insurance in your AI PM job search is overprepping for …
89.4K views2 weeks ago
x.comAakash Gupta
$1.4M total comp at Google. He walked away from it.Mahesh spent 13 years at Microsoft, Amazon, Meta, Google. Doubled his comp every two years through the AI wave. His friends from Meta moved to Nvidia and are at $2.5M now. The recruiters keep calling. The next 70% bump is sitting there.He left anyway. The reason matters more than the money.Every meaningful AI product of the last three years was built by a small team or one person. ChatGPT came out of a small company. Lovable started tiny. Claude
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$1.4M total comp at Google. He walked away from it.Mahesh spen…
419.9K views2 weeks ago
x.comAakash Gupta
I've been telling people "AI product sense" is the actual filter in AI PM rounds for months now.Ankit Virmani just walked into offers at Uber, Atlassian, and Cisco. I recorded a full mock with him on a Claude Code growth question, and the first thing he did wasn't a feature idea. Wasn't a growth tactic. Wasn't even a metric.It was strategic framing.Before touching how to 10x weekly active users, he framed why the question matters in three layers.1. The platform shift. We're moving from AI-assist
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I've been telling people "AI product sense" is the actual filter in AI PM …
6.8K views3 weeks ago
x.comAakash Gupta
Screenshot this. It is the architecture every agentic AI product converges on, and the answer to any AI system design interview.Five layers. Memorize the stack.Top: the interaction layer. This is where the user actually touches the product. Mobile app, web app, Slack integration, voice assistant, whatever the interface is. Most candidates forget to draw this and lose 5 points before they start. A system without a surface is not a product.Second: the orchestration layer. The control plane. It dec
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Screenshot this. It is the architecture every agentic AI prod…
106.7K views1 month ago
x.comAakash Gupta
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