Gabriel F. Marte retweeted
Replying to @jake_oshea
@jake_oshea and I started @aitxcommunity over 3.5 years ago. 120+ events and hackathons across Austin, Houston, and Dallas, and more than 10,000 unique attendees.
Part of our mission has always been to bring the AI community in Texas together, and to showcase what it has to offer to the rest of the world. I'm asking y'all to help with the next step.
We're throwing the Texas AI Summit next year right here in Austin. We're opening the call for talks and workshops now.
What we want most: something that actually happened. Something you built, internal learnings from your company, experiments you ran and what you found.
Submissions close November 6. Apply, or send this to someone who should.
Please DM me if you're interested and I'll send you the link.
Gabriel F. Marte retweeted
THE CONSUMER HARDWARE PLAYBOOK.
If I were building a consumer hardware startup in 2026 this is how I’d do it.
Start with three questions:
Can someone understand it in five seconds?
Why would they still use it in six months?
What happens when a cheaper copy shows up?
Getting attention only answers the first. You need to have a convincing answer to the other two before committing capital.
Pick the category carefully. Earbuds, phones, and robot vacuums already have strong competitors. When you ask someone to try an unfamiliar brand, the improvement needs to matter enough for them to take that chance. Slightly better specs are a difficult place to start.
Here’s my playbook.
1. Build around a routine people already have.
You’re giving yourself a harder job when buying the product also means learning an entirely new habit. Start with something people already do and find the part they’d gladly hand over.
Matic uses vision to navigate and clean your home.
Eight Sleep adjusts temperature around your sleep.
Tonal adapts resistance as you train.
This is what makes AI interesting in hardware. The device can handle more of the decisions and adjustments someone used to make themselves.
But count all the work it creates too. If someone saves ten minutes using it and spends fifteen getting it to cooperate, you still have a product problem.
2. Find out whether strangers will pay before you build.
Put together a mockup, a landing page, and the price you actually expect to charge. Then run Meta ads to people who have no connection to you or the company.
Be transparent about what’s built, what’s planned, and how refunds work. You can learn a lot without pretending the product is ready to ship.
Email signups are a useful start. Refundable reservations tell you more, but you still have to find out how many of those people finish buying.
If you spend $20 in ads to get each reservation and only one in four becomes a purchase, you’ve spent $80 in ads per buyer, before other marketing costs.
Simultaneously, talk to engineers and manufacturers. A product people want at $199 might be a very different business if you discover it needs to cost $399.
Have that conversation while you can still change the design.
3. Win the one liner before focusing on the bill of materials.
Try explaining the product to someone, then listen to how they explain it to somebody else. You’ll learn pretty quickly which part they understood and whether they thought it was worth mentioning.
If the explanation needs a full read out of the spec sheet, you probably need to work on it.
The same message should carry into the demo. Show the robot getting around a messy room or the resistance changing during a workout. Give people a reason to care before asking them to appreciate the engineering.
Then test which images and videos actually lead to purchases. An impressive demo is a great starting point, but it still needs to prove itself as an ad.
4. Plan for someone to offer similar hardware for less.
Take a capable competitor in China seriously from the beginning. They may have good engineers, good software, and a better cost structure.
What would make someone keep choosing you?
- Oura builds insights around your health data.
- Eight Sleep uses your sleep history and temperature preferences.
- Tonal tracks your training progress.
- Skylight becomes part of how a family keeps its week organized.
These are useful examples because the experience extends beyond the device itself.
Still.. “we’ll have more data” needs a better explanation. What gets better because of that data? Does the customer notice? How long would it take someone else to catch up?
Build around those answers, along with reliable hardware, useful integrations, and support customers trust. Being first gives you a head start, so use the time to build advantages that last.
5. Raise for the cash cycle.
Super important. Most hardware companies fail because they didn't manage their cash properly. Map out when money leaves the business and when you expect it to come back.
Factory deposits, R&D, freight, refunds, and the next production order can overlap in ways that make a healthy sales number misleading. You can sell out and still struggle to pay for the next batch.
Raise enough to reach a meaningful next milestone, including testing, production, support, and some room for things to go wrong.
Debt is a whole separate task. Inventory financing and venture debt can depend on different sources of repayment. Understand exactly what pays back the loan and what happens if that money arrives late.
Before signing, run the numbers with slower sales, a delayed shipment, and a batch that needs replacing. Always negotiate net terms with your suppliers.
6. Keep using Meta to learn what makes people buy.
Once the product exists, test real demos, customer experiences, offers, and landing pages. Keep looking for the explanation that helps the right customer understand why it’s worth the money.
When an early campaign works, check what happens as you spend more and reach beyond the most enthusiastic buyers.
Your CAC target has to fit what’s left after manufacturing, shipping, fees, returns, and support, with money left for the team and future R&D.
If subscriptions make the numbers work, be honest about retention and what it costs to serve customers. Revenue expected over several years won’t pay a factory invoice due next month.
As spending grows, use controlled tests where practical to check how many additional sales the ads actually create.
7. Work with creators whose audience has a reason to care.
For training hardware, look for a coach who can explain where it belongs in a real program. For a family calendar, find someone who can show what happened after their household used it for a few weeks.
Give them enough time to form an opinion. They may find a use case, objection, or frustration you never thought to include in the brief.
Build longer relationships with the creators who bring customers who keep the product, and get permission to use effective demos in paid ads.
Count the whole cost, including fees, commissions, free units, and content production. Judge the partnership by the customers it brings in and what you learn from them.
8. Make the first production run earn the next one.
Before placing a much larger order, put a small batch from the factory in customers’ hands. There’s a lot to learn between a prototype working on your desk and someone using the product at home without your help.
Watch setup problems, failures, returns, continued use, and the time support spends on each customer. Feed those lessons into the next order.
Think about repairs while the design is still flexible. Saving a few dollars on a part can get expensive when replacing it means shipping the entire device across the country.
By the time you order the next batch, you should have a better understanding of who buys, why they keep using it, what breaks, and what each sale leaves in the bank.
Hardware is not for the weak.
Gabriel F. Marte retweeted
Two weeks out from the @basepowerco x @aitxcommunity Talent Hackathon with @ThriveCapital & @a16ztxo 🤘
Sept 25–27 at Base HQ in Austin. 48 hrs, 3 tracks, Base engineers judging.
Approvals start Wed, space is limited. Apply here: luma.com/aitx-94j6?utm_sourc…
Gabriel F. Marte retweeted
After 6 months in NYC, I almost left.
I stayed to build my own company.
Most of my friends and family thought I was crazy. Here's the story:
I grew up on a dairy farm in North Carolina and started working at 8.
Mowed lawns, cleaned gutters, delivered pizzas, managed a bar.
That eventually turned into a career figuring out how companies grow:
- Built enterprise GTM at a fintech company that had just raised $100M
- Worked with top fashion brands, media companies, and more at a Manychat competitor
- 3x'd Amped in 6 months as Head of Growth, later acquired by Intuit
- Built my own media agency, then shut it down to join a hypergrowth startup
On paper it was going great.
But I kept noticing the same thing:
I was pretty good at growing other people's companies. So I left to build my own.
We raised, picked a direction, and started building an AI creative platform.
A month later, Claude Code came out.
From January to April we watched non-technical teams start building in-house various pieces of the platform we were building.
And it became pretty obvious that our moat was evaporating before we'd even scaled.
So we went back to customers. Hundreds of them.
And asked what they were actually stuck on.
The answer surprised us:
Creative research is massively underdeveloped.
The data exists, publicly, at enormous scale. It's just brutally expensive and technically complex to aggregate.
Which is exactly what makes it worth doing.
So we killed the first product and rebuilt the company around that.
Everyone who thought I was crazy was almost right.
The first version of the company didn't survive the year.
But that's the part nobody tells you about starting something:
You don't have to be right on day one, you just have to be willing to find out you're wrong and move faster than that.
Gabriel F. Marte retweeted
:(
watch your health, kids. no job is worth damaging your life force over.
Gabriel F. Marte retweeted
In case you missed it:
Here are some insane things that launched in the creator world this week.
- Higgsfield Marketing Studio
Higgsfield launched a new ‘marketing studio’ powered by Seedance 2.0 which is basically a one click ad factory. I have got the chance to play with it for the last day or two & the results you can get here are pretty insane.
- General Context
General Context claims to be an AI that can research your competitors, clone winning content, track trends, and surface viral formats instantly. All of the hard prep work for marketing campaigns on social media handled in one platform. Excited to try this out.
- Wonder
A design tool that ships real code. So from my understanding it is a tool that takes your designs and turns it into production ready code.
We are truly in the era of AI creative tools.
Gabriel F. Marte retweeted
Theres people you meet in life that you know from first meeting with them that they are destined to be great. Sawyer is that person. Congrats Sawyer and team!
This is what having a creative team of 100 could look like. Introducing General Context.
To celebrate, we’re giving away 5,000 top performing ads, organic posts, creators, and landing pages from over 200 of the world’s best brands.
Comment “Context” below to have it sent to you.
Competitive research, creative analysis, and image generation can quickly drain your budget and your calendar, so we rebuilt all three.
General Context can:
- Do deep competitive/persona research
- Clone competitor content
- Track industry trends
- Uncover viral formats
- Even audit your Meta ad account
+ much much more
Gabriel F. Marte retweeted
To sign up, visit generalcontext.com
Gabriel F. Marte retweeted
This is what having a creative team of 100 could look like. Introducing General Context.
To celebrate, we’re giving away 5,000 top performing ads, organic posts, creators, and landing pages from over 200 of the world’s best brands.
Comment “Context” below to have it sent to you.
Competitive research, creative analysis, and image generation can quickly drain your budget and your calendar, so we rebuilt all three.
General Context can:
- Do deep competitive/persona research
- Clone competitor content
- Track industry trends
- Uncover viral formats
- Even audit your Meta ad account
+ much much more
Gabriel F. Marte retweeted
WE DID IT! The first portal and robots on the Austin @pipedream_labs Network go live in February!
We'll be around all day, so ask a question here and we'll respond with a video!
Here's a quick thread about what we delivered & where we're going next:
Gabriel F. Marte retweeted
We've built a first of its kind grocery store in Austin.
Introducing Goods➡️
Gabriel F. Marte retweeted
i brought 45 hardware founders and leaders together for dinner at CES this year
it was a lot of fun
Gabriel F. Marte retweeted
Today, doanything.com is generally available in public alpha.
Hire your agent now!
Gabriel F. Marte retweeted
INTRODUCING: @doanythingapp
Do Anything Agents are a totally new kind of agent
They:
- work independently for weeks/months+
- have their own email
- self manage entire projects
- can use almost any tool on the web
Today the alpha opens to the public. Here's how they work:
Gabriel F. Marte retweeted
A lot of exciting consumer hardware launches recently.
Some of my favorites are from Clicks, Garmin, UniFi, and Pebble.
Check out the latest drops:
Gabriel F. Marte retweeted
Next week I'm launching a totally new type of AI Agent (@doanythingapp)
It's powered by Opus 4.5 & gives it the ability to:
-Create/manage it's own email & accounts
-Work independently for days/weeks/months
+a ton more
Comment below if you want added to the alpha test today.
Gabriel F. Marte retweeted
.@doanythingapp Agents work for so long that I forget I made them.
On Saturday I sent this prompt to my agent: "Make $50 in a new business by the end of the week, next Tuesday." and nothing else.
Tonight, he sent me this.
Rolling out the alpha to the waitlist tomorrow & Wed.




























