Founder & Builder for 10+ years | 250k users + 2M ARR with pure PLG | Product of the Day winner on Product Hunt | UCLA alumni

Joined September 2015
Chi Wei Lin retweeted
We just raised $7.7M to kill every subscription for agents. Introducing monid.ai, the openrouter for agent tools. Your agents can now: > discover, run, and pay for tools at runtime > use 2,500 APIs through one connection: leads, SEO, marketing, search, ecommerce, stocks, video/image/music/3D gen, agent email & phone > pay per call, 0 subscriptions
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We’re hiring a Founding Infrastructure Engineer to build alongside me at @InsForge! You may be a great fit if you: > Enjoy building backend infrastructure from the ground up > Enjoy orchestrating VMs Bonus points if you are agent-native and love to token max. We just raised an $8M seed round and launched InstaCloud to kill AWS, GCP, and Azure. You'll help shape and redefine the meaning of agent-native cloud infrastructure! If this excites you, apply below ⬇️
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This is AMAZING! Proud to be part of it as a user and seed investor 😍
We just raised an $8M seed round to kill AWS, GCP, and Azure. Introducing instacloud.com, the agent-native serverless cloud. Your team is shipping code like never before. But you're getting caught up in manual, tedious DevOps work trying to deploy it. InstaCloud provides the serverless compute that lets your services autoscale, with all the infrastructure managed for you. Agents branch into complete replica environments when working, keeping prod safe and iteration speed high. And of course, it all works seamlessly with agents through MCP/CLI. Get off the traditional, legacy cloud. Start deploying your services on InstaCloud today.
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Looks so cool, must reverse engineer
opus 5.5 built this miami beach morning you can walk in the browser
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Founders often regard users as income and traction for fundraising, but neglect their most important nature: Helping your product improve and validating a good product.
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This is happening all over the world already. What I’m really thinking about is whether the AI native gen Z even cares about this? Or are they already comfortable with pressing enter? If that’s the case, maybe old school developers is the issue.
I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.
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Chi Wei Lin retweeted
Ok Muse is actually useful. People are using Muse to get their money back, save on bills, get efunds. 10 wild examples:
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Eventually a not-good-enough product is what kills startups, not the lack of GTM. GTM is the process to acquire actual users that helps you improve your product. No product by itself can improve without market feedback. So the goal is always the product, not distribution.
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Talked with an early YC founder from the 2010s. He was in the same batch as DoorDash, working on the same delivery business. Eventually they lost the competition due to picking the wrong track of “10 mins” delivery. Good to know he’s still starting something new!
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Founders who I appreciate the most are those willing to start all over again from scratch, even though they once owned a top tier startup in the past.
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It is the key formula indeed. People think they can just cheat on users to use products they don’t love themselves, but that won’t do the magic.
Dogfooding is the key to building a great product You should be cringing and crashing out about how bad your own product is every day Then it becomes a good product
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This is my AI convincing me when it has absolutely no idea.
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Just finished the 2-year exclusive startup program in Taiwan: AAMA AAMA alumni represents Taiwan's top startups, with a dozen of pre-IPO to IPO companies within the decade. In my 2 years of endeavor, I led my startup with a 30x growth in annual revenue. Time to move on!
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Growth is the best cure for all startup symptoms. Most founders turn to operation once growth stops, then they get into spiral of bureaucracy. Then manager mode activates, founder mode halts. Startup momentum dies.
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When grow isn’t a goal anymore, many startups turn to optimize their operation. Then the math problem becomes deduction, so as the company potential. This is especially happening in Asia.
Growth doesn't just solve a startup's problems in the sense of making them go away. It solves them like you solve a math problem. For example, it can design your product for you: start with something minimal, then add whatever will make you grow.
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I see cursor ads almost everyday Anyone knows why?
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Chi Wei Lin retweeted
Fable 5.1 is our best model yet for coding, data analysis, computer use, design, presentations, Tag, and the hardest long-running agentic work. This model is a pleasure to work with, and I've been using it for everything.
We’re introducing Claude Fable 5.1 and Claude Mythos 5.1. They're the world’s most advanced models for coding and knowledge work.
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Product taste is everything for a product builder within the AI world. One of the best ways to increase product taste is to be as strict as possible towards what you are building. Always look for popular products to benchmark your design, and it is promised to be better.
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Very often top products have world-class teams behind, with 100x iterations than early startups. It's not saying that they are always right, but seeing enough of these products will make sure you have a high standard. That's when your building starts to make sense.
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