Dalton Caldwell's profile on Product Hunt

About

I’ve spent my career around startups, founders, and the challenges that come with building something from the ground up. As a Partner Emeritus at Y Combinator, I focus on sharing the experience I’ve gained with entrepreneurs, helping founders think through difficult decisions, sharpen their ideas, and build companies that can grow. For me, the most rewarding part is working with ambitious people who are willing to question assumptions, move quickly, and learn from what doesn’t work. I enjoy mentoring founders, exchanging ideas, and staying close to the startup ecosystem while continuing to learn from the next generation of builders.

Badges

Pixel perfection 💎

Tastemaker

Gone streaking

Forums

p/tractionwave

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1d ago

I added a white-label PDF report to TractionWave. Would you send it to a client?

Hey makers

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2d ago

A small change in how I use prototypes as a product designer

I ve been using prototypes a little differently since I started building more with AI.

For internal reviews, I still find simple prototypes useful. They help the team understand the overall flow and discuss whether we re looking at the same problem.

But when I want to explore how an idea actually works, I often go straight to building a working version with AI.

The interesting part is that I m not necessarily trying to skip the design process.

p/vectorize

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3d ago

Tomorrow: Hindsight 1.0 + Memlake. What breaks first when your agent's memory gets big?

Hi all, Chris from Vectorize here. Tomorrow (Oct 14) we're launching Hindsight 1.0, our open-source memory for AI agents, together with Hindsight Memlake, a Rust storage engine for Enterprise customers with very large memory volumes.

Before launch day, a question for anyone running agents with long-term memory: what broke first as it grew? For us it was recall latency. On one 200k-memory bank, recall on Postgres had crept up to 5.3 s; on Memlake it's 113 ms, and the engine holds 100M memories under 100 ms p99.

Curious whether others hit the same wall or something else entirely: cost, relevance drift, stale facts. Happy to share what we learned, and we'd love to see you at the launch tomorrow.