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Cursor for Product Managers Andrew Miklas AI is great at writing code, but product success depends on deciding what to build. We think there’s an opportunity for an AI-native system focused on helping teams figure out what to build, not just how to build it.

126,723 Aufrufe • vor 8 Monaten •via X (Twitter)

44 Kommentare

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

The way startups are built has shifted quickly. We're excited about a range of startup ideas for AI-native companies that can now be built faster, cheaper, and with more ambition than ever.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

AI-Native Hedge Funds @charlieholtz In the 1980s, quantitative trading looked fringe; today it’s standard. We’re at a similar inflection point with AI, and the next great hedge funds will be AI-native, using agents to analyze filings, calls, and markets at machine scale.

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Y Combinatorvor 8 Monaten

AI-Native Agencies @aaron_epstein Agencies have always been hard to scale. AI flips this model by letting firms use software internally to deliver finished work at higher margins, turning agencies into software-like businesses that can scale far beyond today’s service firms.

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Y Combinatorvor 8 Monaten

Stablecoin Financial Services @DaivikGoel Stablecoins are rapidly becoming critical infrastructure for global finance, yet much of the financial services layer remains unbuilt. This creates room for services that offer the benefits of DeFi. Now is the perfect time to build something in this space.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

AI for Government @t_blom AI has made submitting forms dramatically easier, but governments still process many of them by hand. There’s a major opportunity for AI-native tools that modernize government operations—hard to sell, but powerful once adopted.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

Modern Metal Mills @zanehengsperger Reindustrializing the U.S. isn’t just about labor or geopolitics—metal mills are slow because they run on outdated systems. Modern software creates an opportunity for mills to cut lead times and costs while improving flexibility and margins.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

AI Guidance for Physical Work @dflieb Much of the AI conversation focuses on which desk jobs will get replaced. But for physical work, AI can't yet act in the world. With multimodal models and ubiquitous hardware, there’s an opportunity to give workers live AI coaching that dramatically reduces training time and unlocks skilled labor at scale.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

If you’re interested in working on any of these ideas, you should apply to YC. The deadline for applying to the spring batch is February 9th at 8pm PT:

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

But wait, there's more! Large Spatial Models - Ryan McLinko Recent AI progress has been driven by LLMs, but true breakthroughs will require robust spatial reasoning. There’s an opportunity to build foundation models that treat geometry and physical structure as first-class primitives, and enable AI to reason about the physical world.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

Make LLMs Easy to Train - Gabriel Birnbaum Training large language models is still surprisingly difficult. As post-training and model specialization become more important for a wide array of businesses, we'd like to see products that make LLM training easy.

Profilbild von Y Combinator
Y Combinatorvor 8 Monaten

Infra for Government Fraud Hunters @garrytan We want to fund startups that bring government fraud investigation into the modern era. There’s a major opportunity today for systems that turn whistleblower tips into complaint-ready cases, dramatically speeding fraud recovery for law firms and government agencies.

Profilbild von Eric Neuman
Eric Neumanvor 7 Monaten

@amiklas Hey @ycombinator & @amiklas… we heard you’re looking for us 👀 We’d be happy to show you what we’ve built so far, and we may even have a little room left in the round. 😉 DM and check out

Profilbild von ariel mathov
ariel mathovvor 8 Monaten

@amiklas @from021_ !!!

Profilbild von Traycer
Traycervor 8 Monaten

@amiklas Traycer captures dev intent better than anyone (asks questions if need be) builds a detailed spec breaks it down into tickets Orchestrates execution (Bart Simpson for the win) Verifies changes and ensures that the code is actually aligned with what you are building.

Profilbild von Ben Vinegar
Ben Vinegarvor 8 Monaten

@amiklas It’s already here though: @modemdev

Profilbild von Chahat Kesharwani
Chahat Kesharwanivor 3 Monaten

At @uselayr this is exactly what we are solving: teams are not short on data, they are short on decision clarity. Product context is scattered across Slack, Jira, docs, and feedback, so prioritization becomes noisy. We help teams turn that signal into evidence-backed decisions on what to build next.

Profilbild von Najeeb Abubakar👾
Najeeb Abubakar👾vor 8 Monaten

@amiklas @amiklas 🤚🏾 This is something @usereavil built for product teams. We also use customers feedback as part of our data source for deciding what to fix, features to build and level of impact is has.

Profilbild von Rodrigo Ehlers
Rodrigo Ehlersvor 8 Monaten

@amiklas We built in 24 hours for a hackathon in Hamburg last weekend. Its vision is literally this + a lot more goodies.

Profilbild von Nadayar
Nadayarvor 8 Monaten

@amiklas Then yall should def check out @tryDotted - literally cursor for product managers ⚡️@DunniAbiodun has been building a madness with this one 🤖

Profilbild von DRFarrell🐦‍🔥
DRFarrell🐦‍🔥vor 8 Monaten

@amiklas @shreyas oh no the tarpit of a tool for PMs

Profilbild von ChatPRD
ChatPRDvor 7 Monaten

@amiklas

Profilbild von Camilo Silva Caviedes
Camilo Silva Caviedesvor 8 Monaten

@amiklas @arielmathov

Profilbild von redJ
redJvor 8 Monaten

@amiklas oh shit @lukalotl there you go

Profilbild von Max
Maxvor 8 Monaten

@amiklas Isnt claude cowork the cursor for product management? Atleast thats how ive been using it

Profilbild von Mike’s Notes
Mike’s Notesvor 5 Monaten

@amiklas I solved this. Free tool here:

Profilbild von Dennis Green lieber
Dennis Green liebervor 8 Monaten

@amiklas 100% Input/context is key now, with current output velocity. we are building in this space we would love to hear from you 🫡

Profilbild von Rodrigo Ehlers
Rodrigo Ehlersvor 8 Monaten

@amiklas

Profilbild von Muqeet Hassan
Muqeet Hassanvor 8 Monaten

@amiklas Upload interviews + usage notes -> ranked ‘what to build next’ -> outputs PRD + ticket breakdown for coding agents. Demo:

Profilbild von npm i task-master-ai
npm i task-master-aivor 8 Monaten

@amiklas @usehamster

Profilbild von Helm PM
Helm PMvor 7 Monaten

@amiklas What does a Cursor for PMs actually mean? For us: • Understand messy product context • Extract decisions and action items • Update tickets automatically • Reduce manual coordination PMs should guide the work, not constantly reconcile it.

Profilbild von Vipul Mukund
Vipul Mukundvor 8 Monaten

@amiklas @async

Profilbild von Celestino (can/do) - ➡️draimo.com
Celestino (can/do) - ➡️draimo.comvor 8 Monaten

@amiklas But Windsurf has a Plan feature, this is not needed. It's just a feature on AI IDEs already. Plus Linear is working fine!

Profilbild von Magic Patterns
Magic Patternsvor 8 Monaten

@amiklas 👋

Profilbild von Ash Ketchum
Ash Ketchumvor 8 Monaten

@amiklas Yeah we are currently building this product (cursor for product managers) for an fintech startup.

Profilbild von Mimir
Mimirvor 7 Monaten

@amiklas We built this and we think its pretty great. Used it to help YC companies figure out what to build next:

Profilbild von Ayman Mahfuz
Ayman Mahfuzvor 8 Monaten

@amiklas We built this ! Check out and @HelmPM_

Profilbild von Aditya Induraj
Aditya Indurajvor 8 Monaten

@amiklas I think this is what @linear is working towards.

Profilbild von Richard Lee
Richard Leevor 8 Monaten

@amiklas I’ve been pondering how to collapse customer service into product insights to help product managers get unfiltered feedback from users

Profilbild von bhavs2
bhavs2vor 8 Monaten

@amiklas I totally agree! We have to solve problems that can actually make a difference

Profilbild von N. Kevin
N. Kevinvor 8 Monaten

@amiklas Well if that's the case you should checkout :

Profilbild von Daniel Merja
Daniel Merjavor 8 Monaten

@amiklas im building it and taking an approach with mix of startups teams, experts and customers with ai agents for product discovery

Profilbild von Luiz Resende
Luiz Resendevor 8 Monaten

@amiklas This is something I have been building called Decision X. It doesn’t plug user interviews yet, but it already helps on scenario comparison. “What to build” is the next step. Funny thing YC is into that.

Profilbild von Shahyn Kamali
Shahyn Kamalivor 7 Monaten

@amiklas almost done building it

Profilbild von Manav Jain
Manav Jainvor 8 Monaten

@amiklas @dharmeshba

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The future of product management looks a lot like Zevi Arnovitz Zevi is an IC PM at Meta, has no technical background—is scared to even look at code—but has taught himself how to use Cursor and Claude Code to build significant and real product. He's developed his own very powerful Cursor workflow that allows him to quickly add his ideas to Linear, develop a plan using Claude Code, build it within Cursor, and then have different LLMs review his code. Zevi's engineers at Meta ask him to teach them how he does what he does, and I haven’t stopped thinking about this conversation since we had it. Everyone needs to pay close attention to what AI us unlocking for non-technical people. We discuss: 🔸 The complete AI workflow that lets non-technical people build in Cursor 🔸 How to use multiple AI models for different tasks (Claude for planning, Gemini for UI) 🔸Specific slash commands to automate key prompts 🔸 Zevi’s “peer review” technique, which uses different LLM models to review each other’s code 🔸 Why this might be the best time to be a junior in tech, despite the challenging job market 🔸 How Zevi used AI to prepare for his Meta PM interviews Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 10Web.io — Vibe coding platform as an API 🏆 DX — The developer intelligence platform designed by leading researchers 🏆 Framer — Build better websites faster

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