For the FIRST TIME in HISTORY, you can describe a physical product in one sentence and, a week later, hold it in your hands, cut from metal and built to your exact measurements.
That's VIBE MANUFACTURING, and it's about to do to physical products what vibe coding did to software. Maybe not today but over the next 24 months.
Vibe coding let people who had never written code build apps. Vibe manufacturing lets anyone make real things. You describe what you want. An AI turns it into a precise design file. A printer on your desk tests it overnight. A factory you found on a website quotes it in seconds and ships the parts in days. A $5 chip makes it smart, and your AI agent runs it.
It's already happening quietly. About 30,000 people now run a 3D printer for more than seven hours a day, according to Bambu Lab, the company that makes the most popular consumer printers in the world. That's a full-time job. They're running small factories out of spare bedrooms and garages, printing products, selling them on Etsy and TikTok Shop, and reprinting whatever sells. Bambu's design-sharing site, MakerWorld, has 10 million monthly users and 2.6 million original designs, and its users logged 290 million hours of printing in 2025. A hidden manufacturing economy is growing inside people's homes, and AI is about to pour gasoline on it.
This is the COMPLETE guide to vibe manufacturing. If you've ever wanted to make a physical product, or you're looking for the next big business opportunity in AI, it's for you. I'll cover what changed, how to make your first real product step by step, the business opportunities I'd go after, and how personal agents and things like Hugging Face fit in.
Why hardware was so hard
There's an old line in Silicon Valley that hardware is hard, and for decades it was the truest thing anyone said. I have this line burned in my brain from so many VCs.
If you wanted to make a physical product in 2010, here's what you signed up for. You hired an industrial designer to sketch it and a mechanical engineer to turn the sketch into CAD files. You flew to Shenzhen, toured factories, and tried to figure out which ones would take a small order seriously. You paid tens of thousands of dollars for an injection mold before a single unit existed. You ordered 5,000 units because that was the minimum, stored them in a warehouse, and prayed people wanted all 5,000. If one measurement was wrong, you paid for the mold again.
The Kickstarter era cracked the door open. I remember when Pebble raised over $10 million for a smartwatch in 2012, and suddenly small teams could fund tooling with preorders. But a huge share of those projects shipped late, blew their budgets or died in the factory, because the hard parts were still hard. You still needed someone who spoke CAD, someone who understood how factories think, and a pile of cash tied up in inventory.
So hardware stayed a game for well-funded companies, and everybody else got the average product designed for the average customer.
The four shifts that changed everything
Software went through the same thing and came out the other side. First you needed engineers. Then no code tools let non-engineers build simple little things. Then AI coding let almost anyone build almost anything. Hardware is getting its version of that moment right now, because 4 things happened at roughly the same time.
1/ Design turned into code.
There's a whole family of CAD tools, like OpenSCAD and CadQuery, where a part is written as a few lines of code instead of drawn with a mouse. A box with rounded corners and four screw holes is just a short script with numbers in it. In theory, any AI that writes code could write parts. In practice, for years the results were mostly toys.
Then OpenAI released GPT 6 Astra last month, and that was the moment a lot of people started believing AI could really do CAD (me included). OpenAI tested it on a new benchmark called BenchCAD, where the model looks at pictures of an object from several angles and has to rebuild it by writing CAD code. Astra scored 95.9%, far ahead of anything before it.
Within days, people were "vibe CADing." Someone on a FIRST Robotics forum connected Astra to Autodesk Inventor and had it design an entire robot intake in about 7 hours, gearboxes and folding linkages included. It still had gaps a human needed to fix, but a year ago that was days of work for a skilled engineer.
You can now describe a part in plain English, or show it a few photos, and get back a precise, editable design, pretty crazy.
And a wave of startups is racing to make it even easier. Zoo's Text-to-CAD turns a sentence into a real CAD file in one step. Adam, out of Y Combinator, raised a seed round last October and already has tens of thousands of users designing parts by chatting with them. Backflip, started by the founders of the 3D printer company Markforged, raised $30 million from NEA and a16z, and one of its best tricks is scan-to-CAD: point a 3D scan at a physical object and get back an editable CAD model.
It’s all early, but it’s begun.
2/ Factories turned into APIs.
Upload a design file to SendCutSend, Xometry, Protolabs or JLCPCB and you get an instant price, with no phone calls, no minimums and no relationship required. Parts usually ship within days, and you can order exactly one.
Xometry alone did $630 million of marketplace revenue in 2025, growing 30%, with about 5,000 factories and machine shops on the other side of its website. Think about what that means. There's now a cloud of factories you can rent by the part, the same way AWS lets you rent servers by the hour.
3/ Smart got cheap.
The ESP32 is a chip with wifi and Bluetooth that costs a few dollars and can run a motor, read a sensor, light an LED and talk to your phone. Twenty years ago, putting a connected computer inside a product was a project for a team of electrical engineers. Today it's a $5 part and probably 3 hours.
4/ Every home got a factory.
This is the shift people underrate. Bambu Lab made 3D printers that work out of the box, and by some estimates its sales roughly tripled last year. A $300 to $600 machine now prints parts that would have needed a professional shop a decade ago. That means you can test a design on your desk overnight, fix it in the morning and test again that night. Hardware iteration used to take months. It now runs closer to the speed of software.
I remember when I was in university (2009/2010 era), personal 3d printing was becoming a thing but it was expensive, and oh yeah, you needed so much to actually get it to print something valuable. Not in that era anymore.
Any one of these alone is interesting. All four together change who gets to make things.
Products are turning into files
I keep thinking about this.
For all of history, a product was a physical object. The value lived in the inventory. If you made shelves, your business was the 5,000 shelves sitting in a warehouse, and your biggest risk was that nobody wanted them.
In vibe manufacturing, the product is a file. More specifically, it's a design written as code, with every important dimension stored as a variable at the top: the width, the height, the thickness, the hole spacing. Change one number and the whole design rebuilds itself. That file can produce a shelf for my wall and a slightly different shelf for yours, and neither one exists until somebody pays for it.
What’s really cool is it’s actually a completely different business model. Physical goods start to behave like software. The expensive part, the design, gets made once. Every copy after that is customized for free and manufactured on demand. There's no warehouse and no dead stock, and the margins start to look a lot more like a software company than a hardware company.
https://x.com/BrianNorgard/status/2103453066372730924?s=20
You can already see the early version of this. MakerWorld lets designers publish customizable models, where you type in your measurements and the site generates a file that fits. Large print farms offer APIs that plug into a Shopify store and print each order the moment it's placed. The pieces of a full stack, from design file to customized product to doorstep, already exist. They just haven't been stitched together for most categories yet.
The other thing that happens when products become files is that they become forkable, like open source code. The best example is Gridfinity, an opensource storage system built on a simple 42mm grid that a YouTuber named Zack Freedman released in 2022. Because the standard was open, thousands of people designed bins, tool holders and drawers that all snap into the same grid. It turned into a whole ecosystem with its own sellers, its own accessories and its own fans, built on top of one free file.
That's the pattern I'd bet on. Whoever creates a great open standard for a category gets a community that builds on top of it, and whoever makes the best products for that standard gets the customers.
The gadgets nobody would build
For a 100+ years, products had to be designed for the average customer, because the only way to make the math work was to make thousands of the same thing. You adjusted your house, your desk and your life to fit the product.
When the design is a file and the factory makes one at a time, the product can fit you instead. And that opens up a category I think of as the gadgets nobody would build. Products for a market of 500 people, or 50, or one. A big company would laugh at the market size. A solo builder can make a great living there, because a product that fits 500 people perfectly can charge whatever it wants.
There are three places I'd look first.
1.Accessories for things people already bought. Every popular product creates a long tail of needs its maker will never address. Someone buys a specific e-bike, a specific espresso machine, a specific camper van, and immediately wants a mount, a holder, an organizer or an upgrade designed for exactly that model. The best niches are attached to something people already spent a lot of money on, because those owners are easy to find and happy to spend a little more.
2.Replacement parts. Millions of perfectly good appliances, tools and toys end up in the trash because one small plastic part snapped and the manufacturer stopped making it years ago. With scan-to-CAD, you can photograph or scan the broken piece and get a clean design back. People will happily pay $40 for a $2 part that saves a $900 dishwasher, and they're already searching for it, which means you have demand before you've made anything.
3.Weird business needs. Vet clinics, salons, restaurants, labs, gyms, boat owners and contractors all have oddly specific problems that nobody makes a product for. A mount for a tablet in one particular spot. A guard for a machine. A holder for a tool that only exists in one trade. Businesses buy faster than consumers, care less about price, and come back for more when something works.
This is exactly what happened to software. When building got cheap, people built for tiny niches, and plenty of those niches turned out to be real businesses. Physical products are about to get their long tail.
Same idea.
Your agents need bodies
Hear me out.
We're all building personal AI agents right now. They read our email, manage our calendars, research for us and run our errands on the internet. But they live entirely inside screens. Your agent can book a dog walker and still has no idea whether the dog is in the house. It can order groceries and has no idea what's in the fridge.
Every cheap smart device you build becomes a sense or a hand for your agent. A sensor on the mailbox tells it a package arrived. A scale under the coffee canister tells it you're running low, so it reorders. A small e-ink screen by the front door shows whatever it thinks you need to know before you walk out. A lock on the side gate lets it let the dog walker in at 2pm and lock up at 2:30.
The plumbing for this is already here. Home Assistant, the open-source smart home hub, can expose every device in your house to an AI agent over MCP, the same standard agents use to talk to Gmail or Notion. Espressif, the company that makes the ESP32, launched its own agent platform last December so developers can put a voice agent with tool-calling directly onto its chips. Hobbyists are wiring up ESP32 boards that announce their abilities to an agent the moment they connect, like a new employee introducing themselves: "I can read temperature, I can open the vent, I can beep."
I think we're about to get a new design discipline: hardware built for agents first and humans second. I’ve been chatting with my design firm LCA about this but I think agent native hardware has a few traits.
- It describes itself. When it connects, it tells the agent exactly what it can sense and do, in plain language.
- IIt reports its state constantly. Locked or unlocked, full or empty, open or closed, so the agent always knows what's true.
- It keeps a physical override. Agents make mistakes, so a person can always open the lock, flip the switch or pull the plug by hand.
It fails safely. When the wifi drops, the door stays usable and the heater shuts off.
The big companies will sell generic versions of these devices. The interesting ones will be custom, built for a specific home, shop or workflow by people who understand both the agent and the physical space.
Using Hugging Face
Hugging Face is the biggest library of open AI models in the world, and it plays three very different roles in vibe manufacturing. Most people only know about the first one, and it's the one that gets them in trouble.
- Shapes. There are text-to-3D and image-to-3D models on Hugging Face, like TRELLIS and Hunyuan3D, that turn a sentence or a photo into a 3D shape in seconds. They're fantastic for anything organic or decorative: a figurine, a sculptural lamp, a handle shaped like your logo, a custom game piece. Here's the trap. They make shapes that look right and measure wrong. What they produce is a mesh, a surface made of thousands of tiny triangles, with no exact dimensions. A factory cutting metal needs a 40mm hole to be exactly 40mm. So use the 3D models for anything people look at, and use code-based CAD for anything that has to fit.
- Brains. Hugging Face also hosts small models that run on cheap hardware sitting inside your gadget, with nothing sent to the cloud. A small speech model like Whisper lets a device understand voice commands. A tiny vision model lets a camera tell your dog from a raccoon. There are now add-on modules for ESP32-class hardware that run a half-billion-parameter language model on about 1.5 watts, fully offline. For anything inside someone's home, "it never sends your data anywhere" is a powerful selling point, and open models make it possible.
- Bodies. This is where it gets wild. Hugging Face bought the French robotics company Pollen Robotics in April 2025 and started releasing open-source robots, including a little desktop robot called Reachy Mini that starts around $300. Its LeRobot project gives away the software, datasets and designs for low-cost robot arms that people print and assemble at home, then teach new tasks by demonstrating them a few dozen times.
Put those three together and you can see where this goes. The same person who prints an enclosure tonight can download a vision model tomorrow and build a robot arm that sorts their screws by the weekend. Robotics is following the exact same path software did, from closed and expensive to open and cheap, and Hugging Face is trying to be the GitHub of it.
Set up your workshop: the folder and the agents
How do you set up a little AI hardware team with agents with your agent platform of choice (Hermes, Claude Code, Cursor etc)?
Well, an AI coding agent lives inside a folder on your computer. It reads every file in it, runs code, and remembers what you've decided because everything is written down. Give it a well organized folder and it stops guessing. Here's the structure I'd use for a vibe manufacturing project:
A few of these files do most of the work.
requirements.md - Write down what the product has to do in plain numbers: "holds 2kg of keys, survives a 40°C hallway in summer, mounts with two screws, costs under $35 to make." Now every design the AI produces gets checked against something real, instead of against whether it looks nice.
factory-rules/ holds the design guidelines from every factory you use, downloaded and saved as text. The AI reads them before it designs anything, so it stops drawing parts that can't be made.
materials.md is where hard lessons go. "PLA drooped in a hot car." "6061 aluminum cracked at the bend, switched to 5052." One line like that saves you from paying for the same mistake twice.
library/ is your secret weapon over time. Every hinge, mount and enclosure you get right becomes a building block. By your fifth product, the agent is mostly snapping together pieces you already know work.
tests/ is borrowed straight from software. Write checks the code can run automatically: every wall at least 2mm thick, every hole at least as wide as the metal is thick, the whole thing under 300mm wide so it fits the cheaper shipping box. Every time the design changes, the tests run, and you find problems on your screen instead of in your mailbox.
The agents:
Once the folder exists, you can split the work across a few agents, each with its own instruction file in agents/. Build them one at a time.
1/ The design agent turns requirements and measurements into parametric CAD code. The trick is to have it render pictures of the part from three angles after every change and look at its own work, the same way the best models check themselves. It catches a surprising number of its own mistakes this way.
2/ The manufacturability agent reads the design and the factory rules and returns a list of problems, each with the line of code to change and a suggested fix. Run it after every design change, the way software teams run tests before they ship.
3/ The sourcing agent gets quotes from SendCutSend, Xometry and JLCPCB, finds electronic parts on sites like DigiKey and LCSC, and keeps bom.csv up to date. It drafts orders, and a human clicks buy.
4/ The firmware agent writes the ESPHome config, connects the device to Home Assistant, and tests that every sensor and switch reports correctly before anything gets soldered.
5/ The cost agent rolls up parts, finishing, packaging and shipping into a unit cost at 1, 10, 50 and 500 units, and flags you when a design change pushes your margin below target. Most hardware businesses die because nobody was watching this number.
6/ The order agent is the one that turns this into a business. A customer enters their measurements, the agent checks them against the limits in requirements.md, generates the custom files, runs them past the manufacturability agent, and queues the order for your approval.
Every agent writes a line to build-log.md when it changes something. When a part comes back wrong, you can trace exactly which change caused it, which is the difference between a hobby and a company.
How to build your first thing (to sell or just for yourself)
Let's make it concrete. Say you want a slim metal shelf for your entryway that holds your keys, wallet and sunglasses, fits the exact strip of wall between your door frame and light switch, and tells your agent when you walked out the door without your keys. Here's how I'd build it.
Measure like your money depends on it, because it does. Bad measurements are the number one reason first builds fail. The AI will happily design a beautiful part that's 4mm too wide, and the factory will happily cut it. Buy digital calipers for about $25 for anything small, like screw holes or the thickness of a key fob. For the wall itself, a phone LiDAR app like Polycam gives you the overall shape, and a tape measure gives you the numbers that matter. Write every measurement into one text file with a photo of where you took it, and measure the critical ones three times.
Have the AI write the design as code. Describe the part to a frontier model and ask it to write the design in CadQuery or OpenSCAD. The prompt can be as plain as this:
That line about putting every dimension in a variable is the most important habit in this entire guide. When a measurement is off, you change one number and everything updates. When a friend wants one for their wall, you change three numbers. That's the seed of a product.
Know which file goes where. STL is for 3D printing, a mesh made of triangles. STEP is the universal format for precise 3D parts and what you send a machine shop. DXF is a flat 2D drawing and what you send for laser-cut sheet metal. For bent parts, most sheet metal shops will take a STEP file of the finished shape and work out the flat pattern for you.
Check that it can actually be made. A design can look perfect on screen and be impossible to manufacture. Metal only bends so tightly, holes can only be so small relative to the material, and a round cutting tool can never make a perfectly sharp inside corner. The trick is that every serious factory publishes its design guidelines. Download them, paste them into the chat, and ask the AI to check your design against them line by line. It'll catch a hole sitting too close to a bend, which would tear the metal, before it costs you anything.
Print it in plastic first. Before you pay for metal, print a version on a home printer. You rarely need to print the whole thing. If the risky part is how the shelf meets the wall, print just that corner, a 40 minute print instead of a 14 hour one. Hardware people call these fit tests, and they're how you iterate five times in a day. For large flat parts, print the outline on paper at full size and tape it to the wall. It costs nothing and catches half your mistakes.
Pay an engineer for one hour. Before your first real order, find a mechanical engineer on Upwork and pay them for an hour to review the files. Ask three questions: Where will this break? What will the factory reject? What would you change to make it cheaper? It'll cost around $100 and it's the cheapest insurance you'll ever buy. One comment like "use 5052 aluminum instead of 6061, because 6061 cracks when you bend it" can save an entire order.
Send it out. Upload your files and get an instant quote. SendCutSend cuts and bends sheet metal, and can also tap threads, press in hardware and powder coat the parts in your color, so they show up looking finished. Xometry and Protolabs handle CNC machining, injection molding and industrial 3D printing in materials much stronger than anything you'll print at home. JLCPCB and PCBWay make circuit boards and will solder the components on for you. Order two sets of parts. You'll mess one up during assembly, and the spare costs less than another week of waiting.
Add the brains. Start with an ESP32 development board, a few jumper wires and a cheap sensor, like a small scale or a magnetic switch under each hook. No soldering needed for the first version. Program it with ESPHome, where instead of writing firmware you write a short config file that says "this pin reads hook one," and the AI can write that file for you. ESPHome plugs straight into Home Assistant, and Home Assistant hands it to your agent. Now you can tell your agent, "if I leave the house and my keys are still on the hook, text me."
Once it works on your desk, have the AI help you design a tidy circuit board in KiCad, the free open-source tool, and send it to JLCPCB. Two moves here save months later. Power the device from an off-the-shelf certified wall adapter that outputs low voltage, so your gadget never touches wall power directly. And use an ESP32 module that already carries FCC certification for its radio, which lets you skip a big, expensive chunk of testing.
Make one, then fix it. Your first version will be off somewhere. A screw will land on a stud, a hook will sit 3mm too low. That's normal, and it's why you make one before you make ten. Change one variable at a time, keep a short build log, and keep your design files in git like software, so you can always get back to the version that worked. By version three, it'll look like it came from a store and fit better than anything a store sells.
The business model
Plenty of people will stop at making things for themselves, and that's a great outcome. I think that’s really cool. A home full of things built exactly for your life used to be a luxury reserved for the very rich.
But if you want to sell, the economics here are different from anything hardware founders dealt with before.
Sell before you make. Because your product is a file, you can take the order first and manufacture second. A customer types their measurements into a simple form on your site, the code generates a design that fits, they pay, and only then does anything get cut or printed. In the old world you bet everything on 5,000 units before you had a single customer. Here, every unit is sold before it exists, which means you can start with almost no cash.
Do the math before you fall in love. Add up everything: parts, finishing, electronics, your time assembling, packaging, shipping both ways, payment fees and the occasional unit that arrives bent. Most first-time builders forget at least three of those. Custom products are also hard to resell, so returns hurt more than usual. A common rule of thumb in hardware is to sell at three to five times what a unit costs you to make. Custom work can often go higher, because the customer is paying for fit, which nobody else can give them.
Sell it three ways. The finished product is the obvious one. But you can also sell a kit for people who like to assemble, and a customizable file for people who own a printer. The file has nearly 100% margins and turns your customers into a community that suggests your next product.
Let the build be the marketing. A video of a product going from a sentence to a finished metal part in a week is more compelling than any ad you could buy, and every version you make is another piece of content. The people winning at this are building in public, and their audience is often the first 100 customers.
Treat certification as a moat. If your product plugs into a wall, you'll want a safety mark like UL or ETL in the US. If it has a radio, it needs FCC approval. If it's for kids, there's a whole separate set of rules and testing, and Europe brings its own marks. It's slow, annoying and expensive, which is exactly why it's a moat. Most hobbyists will never do it, so the builders who do get access to retailers, insurers and business customers everyone else is locked out of.
Scale when demand is real. Once orders are steady and the design has stopped changing, switch to batch runs. Ordering 50 of a part instead of one at a time drops your unit cost fast, because the factory spreads its setup time across more pieces. At serious volume, plastic parts can move from printing to injection molding, where each part costs pennies. The difference from the old world is that you get there with real customers and real demand, instead of a guess.
Note: I’ll be adding more hardware startup ideas to Ideabrowser.com over the next 30 days.
Where it breaks (and it goes wrong sometimes)
The AI is confident about physics it barely understands. It'll design a bracket that looks perfect and snaps the first time someone hangs a heavy coat on it, because it never thought about load, leverage or metal fatigue. Anything that holds weight, gets hot, spins or touches skin needs a real test and ideally a real engineer.
Materials will surprise you. The most common 3D printing plastic, PLA, starts going soft around 60°C, which means a part left on a car dashboard in July can droop into a puddle. Small errors also stack. Three parts that are each half a millimeter off can add up to an assembly that refuses to close.
Copycats are fast. If your product is a simple shape, someone will download the photo, have their own AI recreate it, and undercut you on Etsy by Friday. The defensible businesses are built on things that are hard to copy: a perfect fit for a specific product, a parametric customizer, certification, a brand people trust and a community that builds on your standard.
And liability is real. The moment you sell something that plugs into a wall, holds a child or locks a door, you're responsible for what happens when it fails. Get insurance, follow the certification rules, and design every agent-connected device so a human can always override it by hand.
Every one of these is a reason to start now and learn it properly, because the people who do will have a real edge over the flood of people printing whatever is trending.
Where this goes
If you want to start this week, keep it small. Buy a pair of calipers. Pick one annoying thing in your house that no store sells in the right size: a shelf, a mount, a cable organizer, a holder for something you own. Have an AI write it in CadQuery, print it, fix it, then order one version in metal from SendCutSend. If you already have access to a printer, the whole thing probably costs under $100. The first time a box shows up with a part you designed from a sentence, something in your brain rewires.
Then go one step further. Grab an ESP32 board and make one thing in your house report to your agent. A door, a mailbox, a plant. Watch how much more useful your agent becomes the moment it can see the real world.
I think we'll look back on this period the way we look back on the early App Store. A small group of people noticed the tools had changed before everyone else did, and they built the first wave of products while the space was wide open.
My guess is that within a few years, a meaningful share of the things in our homes will be made for us specifically. Designed by someone who never went to engineering school, made in a factory they never visited, sold before it existed, and run by an agent that knows our routines. The big brands will keep selling the average product to everyone. The interesting stuff will come from people making things for a market of 500, or 50, or one.
Vibe coding changed who gets to build software. Vibe manufacturing is changing who gets to build everything else. And even if you only ever make things for yourself, it's one of the most fun skills you can pick up right now.
Welcome to the vibe manufacturing era.
If you want more ideas like this, I break them down every week on the podcast @startupideaspod: YouTube, Spotify, Apple.
If you want to build agentic products or looking to take your company into the AI age, speak to our design firm LCA. We are the leading product design firm for AI.
And if you want startup ideas/trends to get your creative juices flowing, check out Ideabrowser.com (you get 1 idea/day for free, my gift to you).
DM me if I can ever be helpful. Can't respond to everyone but will respond to some!
I'm rooting for you.
