Kai Huang

Head of Product @parasail_io. Prev @hyperbolic_labs

[Kai Huang @KaiHuang]

@packyM Kiplimo ran a 2:00:28 and got third, insane

[Kai Huang @KaiHuang]

@Yuchenj_UW @alighodsi @pwendell @matei_zaharia Congratulations man! Excited to see what you accomplish there

[Kai Huang @KaiHuang]

@Yuchenj_UW This is equivalent to judging PMs by how many pages of PRDs are written

[Kai Huang @KaiHuang]

@Yuchenj_UW Despite what people have said…I am cool

[Kai Huang @KaiHuang]

@Yuchenj_UW Stop sitting next to me

[Kai Huang @KaiHuang]

Saying “Hey, Siri” is like time traveling back a decade. How is Apple dropping the ball so hard on AI

[Kai Huang @KaiHuang]

@Yuchenj_UW You got me up to speed and taught me the ins and outs of this industry. Will always be grateful for that. I'm excited to see what you work on next and the massive impact you'll be making. Godspeed.

[Kai Huang @KaiHuang]

@Yuchenj_UW We're going to see a huge number of companies from small teams. We might be a little ways away from a 1 man billion dollar company, but we're not too far off from 1 man 10-100M companies

[Kai Huang @KaiHuang]

@Yuchenj_UW It’s the nerdiest gang wars

[Kai Huang @KaiHuang]

@Yuchenj_UW Use opencode with the same subagents and rules and you can test both models side by side, or mix and match depending on the output

[Kai Huang @KaiHuang]

This is why product builders need to think about how AI shows up in their products. The problem is users can't tell when AI is making them worse off. If you're building AI products, your job isn't just giving users what they ask for.

Sometimes you need to push back, ask clarifying questions, or build products in a way that encourage people to actually think through what they want. Good product design means guiding people toward better decisions instead of always giving them what they think they want.

[Kai Huang @KaiHuang]

All this talk about security concerns with Molt(Clawd)bot. All you have to do is run multiple instances with separate.

Example for my home automation when I say "open my garage":

1. Manager bot - creates subtasks and divvies them out
2. Trust bot - uses speech pattern recognition to make sure I'm the one who sent the request
3. Environment bot - searches environmental factors to determine if it's safe to go outside
4. Garage bot - controls the garage door

Total cost to open door: ~$70, but worth it

[Kai Huang @KaiHuang]

OpenAI launching Prism shows model companies are moving beyond APIs into specific verticals.

This is rough for anyone building on top of these models. Your product advantage can disappear overnight when the foundation model company just builds the thing themselves.

I think the real differentiator going forward is going to be product experience and domain expertise. If you deeply understand the workflow, the pain points, the edge cases in a specific field, you can still build something better than a general-purpose model company trying to do everything.

But it's getting harder to just slap a nice UI on top of an API and call it a product.

[Kai Huang @KaiHuang]

I've been running Clawdbot on Linode for the last couple of days and it's really cool, great replacement for Claude app as a long-lasting assistant. The integrated memory loop is huge. It actually remembers context across conversations, which changes how useful it is.

That said, I'm running it on a separate server, not my main machine. Open source is great, but no way I'm trusting it with my entire machine yet.

[Kai Huang @KaiHuang]

The speed that PMs can get something out to customers now is incredible. It’s the most fun I’ve had being in product, ever.

With a couple of agents, I can get an idea built and deployed to start gathering feedback within a day.

Differentiation is purely based on how well you understand users and their problems. Empathy, strategy and good decision making are more valuable than ever in this environment.

[Kai Huang @KaiHuang]

Setting up separate subagents for development feels like a real paradigm shift. I have software architect, QA specialist, and developer agents all instantly available.

It’s like hiring a team of always available contractors tuned exactly to how I want them.

[Kai Huang @KaiHuang]

@nkalra0123 We just onboarded more bare metal H100s in our us-central-1 region. Those are $1.99 with IB.

[Kai Huang @KaiHuang]

@svpino Hyperbolic has H100s at $1.50 and H200s at $2.00

[Kimi.ai @Kimi_Moonshot]

Say hi to OK Computer, Kimi's agent mode 🤖🎸
Your AI product & engineering team, all in one.

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✨ Natively trained on tools: file system, browser, terminal
✨ More steps, tokens & tools than chat mode, with turbo K2

An agentic model with its own computer, K2 now has true agency.