HN user

camwest

427 karma

Product Engineering @ tilt

Previously: fforward, Delphia, Autodesk, Kera

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cameronwestland.com 2d ago

The Graph Was the Cheap Part

camwest
3pts0
cameronwestland.com 3d ago

Agents Are Invention Machines

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cameronwestland.com 1mo ago

Designing Loops That Prompt Coding Agents: The Six I Run

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cameronwestland.com 2mo ago

Is this what driving an F1 car feels like?

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cameronwestland.com 2mo ago

Treat Me Like an Investor

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cameronwestland.com 3mo ago

MCP Subagents

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cameronwestland.com 3mo ago

Mark to Market

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cameronwestland.com 3mo ago

The Alignment Illusion

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cameronwestland.com 3mo ago

Autoresearch Is Reward Function Design

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cameronwestland.com 5mo ago

Cycle Time for Agentic Coding

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cameronwestland.com 6mo ago

Everyone Codes Isn't About Coding

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cameronwestland.com 7mo ago

Release Trains Aren't About Releases

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cameronwestland.com 7mo ago

DHH Should Move Rails Off GitHub

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cameronwestland.com 11mo ago

It's Not 10x. It's 36x – This Is What It Looks Like to Kill a $30k Meeting

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cameronwestland.com 11mo ago

LLM Evals Are Just Tests. Why Are We Making This So Complicated?

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cameronwestland.com 1y ago

So How Many Developers Can I Fire?

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cameronwestland.com 1y ago

Why Your AI Startup Needs to Move Beyond Figma and Start Building

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directedintelligence.org 2y ago

Show HN: Directed Intelligence – Smarter, More Reliable LLMs

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www.fforward.ai 3y ago

Average CAC Masks the Reality of Startup Success

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www.fforward.ai 3y ago

Embrace the Clash: How Disagreements Can Propel Your Startup's Success

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www.fforward.ai 3y ago

Why Most Startups Are Doing Data-Driven Decision Making Wrong

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www.fforward.ai 3y ago

Postgres Task Queues: The Secret Weapon Killing Specialized Queue Services?

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www.fforward.ai 3y ago

Forecast: ChatGPT Addiction Could Rival Our Smartphone Obsession

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cameronwestland.com 3y ago

Startup Founders Can Balance Parenthood and Business

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cameronwestland.com 3y ago

Brain.fm Helps Me Stay Focused for 90-Minute Stints

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www.fforward.ai 3y ago

Navigating Team Development with the Tuckman Model and AI

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cameronwestland.com 3y ago

Shower Thoughts: The Power of Daydreaming and the Science Behind It

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www.fforward.ai 3y ago

Transforming Parenting Lessons into Business Decisions

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www.fforward.ai 3y ago

How I Learned to Stop Worrying and Rotate Slack Tokens with Next.js and Vercel

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cameronwestland.com 3y ago

Spinning the Decks and Startup Success: A Lesson from My DJ Days

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16pts12
MCP Subagents 4 months ago

Yeah, I am very open to skills and REST APIs, but REST APIs have an issue where the token gets injected, and so it's not really a good auth story for everyone. I think that skills have a feedback problem: how do you refine your skill that you've shipped to your customers? The suggestion you are giving isn't great for something like the ChatGPT or Claude iOS app. Where would you even store the token in that case, for example?

For me it's not about difficulty, it's about friction. BJ Fogg's behavioral model B=MAP says Behavior = Motivation × Ability × Prompt. When you increase ability (lower friction), you get more behavior for the same motivation.

AI lowers my writing friction. Same motivation, more output. I write more, I get feedback faster, I iterate more. That's the value for me.

Agreed. I'm happy they're training on my data.

My reasoning: I use AI for development work (Claude Code), and better models = fewer wasted tokens = less compute = less environmental impact. This isn't a privacy issue for work context.

I regularly run concurrent AI tasks for planning, coding, testing - easily hundreds of requests per session. If training on that interaction data helps future models be more efficient and accurate, everyone wins.

The real problem isn't privacy invasion - it's AI velocity dumping cognitive tax on human reviewers. I'd rather have models that learned from real usage patterns and got better at being precise on the first try, instead of confidently verbose slop that wastes reviewer time.

I agree it's not about the 10x engineers or the greenfield. I think YC's selection process is still focused on finding distinguished individuals, but within two specific constraints.

[dead] 2 years ago

Congrats on launch! It’s inspiring to see you building in the open.

Why build Nest on the server when you already have Next for the client?

I’m curious how this is different from Zapier which has added a conversational layer (https://zapier.com/ai).

In my experience a lot of people don’t know how to write with a level of specificity needed to map to pre defined triggers.

For example: instead of saying spreadsheet they may say “roadmap” or instead of saying “Notion database” they may say “bug tracker”

This stuff fails in Zapier.

Any chance you handle those cases better?

No definitely not. Kafka is for LinkedIn scale. Postgres is for everyone else.

Quick anecdote. I remember a friend who joined Shopify relatively early. He took ALL their data from many different services (analytics, Kafka etc) and loaded into Postgres on his laptop so he could query it efficiently.

It's amazing how over-engineered some startups are.

Hi! I’m the tech lead on AutoCAD web. The engine is C++ which is compiled to Web Assembly, our core team doesn’t actually work in JavaScript day to day.

The browsers are doing a really good job making this a possibility today.