Show Notes
Funding stage: Pre-seed. Qalzy announced a pre-seed round backed by Jenson Ventures in spring 2026, following a six-figure Kickstarter that functioned as the demand proof. No priced Seed round is public and the round size is undisclosed.
Kostas Koukoravas came out of lockdown about ten kilos heavier, having taken up baking like half the planet. So he did what a former Microsoft product manager does. He started logging his food. MyFitnessPal first, which meant weighing everything and then typing it in, which meant quitting. Then the AI photo apps arrived and made logging fast, which was great until he found the research: photo estimation nails what the food is and badly misses how much of it there is. Qalzy cites error rates reaching 65%.
Kostas is the co-founder and CEO of Qalzy, aiming to become what he calls the Oura of nutrition: one device in every kitchen. Before this he led product at the BBC and Microsoft, where he worked on Skype for Windows 8 and Surface Hub, and founded the AI fashion styling platform Intelistyle.
Here is the part that turns a nuisance into a business. Those misses do not cancel out. Two hundred calories on breakfast, two hundred on lunch, two hundred at dinner, and by bedtime you have invisibly eaten an entire extra meal. That is the difference between losing weight and wondering why you are not.
So Kostas and his co-founder Michael Michelis, a nutritionist who runs one of the biggest calorie-counting communities online, built a kitchen scale with an AI camera bolted to it. Put food on the glass, press one button, and it identifies the ingredient, weighs it to the gram, and logs the calories and macros against a database of 2.9 million verified foods. No phone. Which matters more than it sounds, because the moment you are actually cooking is the moment your hands are covered in raw chicken and your phone is the last thing you want to touch. Ryan, a serious home cook who has been tracking macros since the spreadsheet era, immediately gets it: with a scale, logging happens while you cook, not from a plated photo that has no idea how much butter went in the pan.
The receipts are early but loud. Kostas says users with the scale stick with tracking roughly 60% longer than app-only users. Returns have been close to nonexistent since launch. And Ryan's own story is the perfect control group: 35 pounds down between September and April, then six flat months of what he cheerfully calls gaslighting himself about portions.
Then the conversation turns into a full hardware masterclass, and this is the part every founder should sit still for. Two software guys who were used to pressing a button and shipping code spent a year on prototyping alone. Kostas's line of the episode: plastic is alive. Prototype resins behave nothing like production ABS, tolerances drift with humidity, and a high gloss finish means every stray thumb during assembly is a scratch you just paid for. Their factory team in China ground through iteration after iteration to get it right.
They funded it the way more hardware founders should. Kickstarter, where a six-figure pre-order haul proved demand a VC would have asked them to prove first, covered the molds and the minimum order quantities, and doubled as a product research panel. The multi-user feature, now nine profiles per device, only exists because backers kept asking whether their spouse could use it. Glucose response tracking in the app exists because type 1 diabetics asked for it. Stretch goals became a feature vote.
Now the pull is coming from directions they did not plan. Hospitals. The NHS, which cares about prevention over cure. Corporate canteens that want to show employees what lunch actually costs them. A restaurant owner who wants accurate nutrition facts on her menu. Ryan pushes on the commercial angle and the food-cost math behind it, and Kostas does not take the bait. Consumer first. The goal, in his words, is to become the Oura of nutrition, one device in every kitchen.
Also covered: whether GLP-1 users abandon calorie counting (Qalzy ran an ad assuming yes and got a polite beating from customers who do both), why carbs at night are not the villain, how his Greek mother's cooking changed once she learned what a spoonful of olive oil costs, and why the win condition is logging every day rather than logging perfectly.
Qalzy is about $199 with a launch discount running, a 30-day money-back guarantee, and a one-year warranty. Kostas and Michael personally answer every email that comes in.
If you're building an AI workflow that depends on a human doing something every single day, the lesson here is worth more than the scale.
Q&A: What Founders Ask After This Episode
How do I prove demand for a physical product without giving up equity first?
Run the crowdfunding campaign as your proof round. Qalzy raised a six-figure sum in Kickstarter pre-orders, which covered molds, minimum order quantities, and design-for-manufacturing R&D, all of it non-dilutive. The campaign then became the evidence for their pre-seed with Jenson Ventures. Kostas is direct about the sequence: going to a VC at that stage means you do not yet have the demand proof, and the campaign manufactured it.
How do I use a crowdfunding campaign as product research rather than just a pre-sale?
Read the comments as a roadmap and price the features as stretch goals. Qalzy had not considered multi-person households at all until backers kept asking if a spouse could use the scale. They set a stretch goal, hit it, and shipped support for nine profiles per device. Diabetic backers asked to see glucose data next to meal timing, so they pulled it from Apple Health and Google Health Connect and surfaced it in the app. Neither feature came from a roadmap meeting.
I am a software founder. What actually breaks when I try to build hardware?
Your mental model of shipping. Kostas budgeted like a software team and spent a year just on prototyping. The bigger shock came after the prototype was approved, in design for manufacturing, because the materials change underneath you. Prototype resins are brittle and behave differently than production ABS, plastic shifts with ambient humidity, and holding tolerances across thousands of units is its own engineering problem. His framing: plastic is alive.
How do I stop my users from quitting in week two?
Remove the device switch, not the button taps. The reason app-based food logging dies is that it demands your phone at the exact moment your hands are wet and your pan is hot. Qalzy's answer was one button press with no phone in the loop, and Kostas reports roughly 60% higher compliance from scale users over app-only users. The insight generalizes to any product built on a daily human action.
Should I chase the enterprise inbound that shows up after launch?
Log it and stay focused. Qalzy has had inbound from hospitals, the NHS, companies with staff canteens, and restaurant owners who want accurate menu nutrition. Kostas names all of it as real and then says consumer is the focus, because that is where they can put a device in every kitchen. The B2B doors stay open without becoming the roadmap.
How do I sell a new hardware category to people who have never seen one?
Underwrite the risk yourself. New physical product plus unproven brand equals trust gap, so Qalzy ships a 30-day money-back guarantee, a one-year warranty, and lets prospects test the same AI free inside the app before buying any hardware. If the recognition works on your phone, it works on the scale.
What happens when my marketing assumption about my own market is wrong?
You find out fast if you ship the ad. Qalzy ran a campaign telling people to drop their GLP-1s and count calories instead, on the assumption that the two audiences were opposites. Customers pushed back hard: they do both, precisely because they need protein and fiber targets while their appetite is suppressed. The backlash rewrote their positioning.
Where does founder validation actually come from?
Kostas's answer is the return rate. His team braced for returns after launch and they barely came. Three years of work, and the signal that mattered was people keeping the thing and using it daily.
URLs Mentioned in the Episode
- Qalzyhttps://qalzy.com
Kostas's AI nutrition scale, a camera-equipped kitchen scale that identifies, weighs, and logs food at the press of one button.
- Ryan Estes on LinkedInhttps://www.linkedin.com/in/estesryan/
Connect with the host.
- AI for Foundershttps://aiforfounders.co
The newsletter and podcast this episode comes from.
- Inbox Alchemyhttps://inboxalchemy.co/
Ryan's tool for building a newsletter audience you own instead of renting from a platform.
- CEOfriendhttps://bit.ly/3SrjgL1
Free competitor analysis from this episode's AI advisory board sponsor.
- AI Native Studenthttps://ainativestudent.com/
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Named Frameworks
The Dirty Hands Test
Where the user's hands physically are decides whether your interface survives contact with reality.
- →Ask where the user's hands physically are at the moment your product needs them.
- →If the answer involves raw food, tools, gloves, a steering wheel, or a patient, any phone-based flow is already dead.
- →Move the interface to the thing they are already touching.
- →Kostas's version: cooking and using your phone at the same time is the most annoying thing in the world, and every calorie app requires it.
Error Stacking Math
Small per-event inaccuracies compound into one big miss, they do not average out.
- →Small per-event inaccuracies do not average out, they accumulate in one direction.
- →Two hundred calories missed per meal becomes 600 to 1,000 calories per day.
- →That daily total is the entire margin between progress and a plateau.
- →Applies far beyond food: any product built on repeated estimation is quietly compounding its own error.
Kickstarter as Demand Proof
Let backers fund the proof a VC would have asked for anyway.
- →Crowdfunding replaces the pitch deck slide a VC would ask you to prove anyway.
- →The cash is non-dilutive and lands exactly where hardware needs it: molds, minimum order quantities, and design-for-manufacturing R&D.
- →Backer comments are the cheapest product research available, and stretch goals turn feature requests into funded commitments.
- →The campaign doubles as your first cohort of real users, which is who you actually want writing your roadmap.
Plastic Is Alive
Prototype materials lie about how production parts will behave.
- →Prototype materials lie. Resins and 3D prints are more brittle and less elastic than production ABS.
- →Design for manufacturing is a separate project from prototyping, with its own timeline and budget.
- →Ambient humidity changes how parts come out of the machine, so tolerance consistency across thousands of units is an engineering problem in itself.
- →Every aesthetic decision has a manufacturing cost. High gloss looks premium and scratches from one wrong thumb on the assembly line.
- →Budget a year for prototyping before you have anything to manufacture.
Adherence Over Accuracy
A rough number logged daily beats a precise one logged never.
- →The win condition is using the tool every day, not producing a perfect number.
- →A rough figure logged daily beats a precise figure logged never.
- →Judgment kills compliance, so the system should accept the 5,000 calorie day without editorializing.
- →Rigid protocols fail on adherence, which is the number one problem nutritionists report with clients.
- →Build for the user's worst day, because that is the day the habit breaks.
The Oura Path
Own one device and one habit completely before chasing every buyer.
- →Pick one device, one counter, one household, and own that surface completely.
- →Say no to the enterprise inbound early, even when hospitals and the NHS are knocking.
- →Price for ubiquity rather than margin while you are still establishing the category.
- →Let the category name itself through consumer familiarity, then sell into institutions from a position of strength.
Glossary
Macros
Protein, carbohydrates, and fat, the three nutrients measured in grams that make up the bulk of caloric intake.
Micronutrients
Vitamins and minerals required in small amounts, tracked alongside macros in the Qalzy app.
GLP-1
A class of appetite-suppressing medications including semaglutide. Discussed here because suppressed appetite makes hitting protein targets harder, not easier.
TDEE
Total daily energy expenditure, the calorie figure a person burns in a day. Qalzy publishes a calculator for it.
Adherence
Whether a person actually sticks to a protocol over time, as distinct from whether the protocol works.
Compliance rate
In this episode, the percentage of users still logging food after a given period. Kostas cites roughly 60% higher compliance for scale users.
DFM (design for manufacturing)
The engineering phase after prototyping where a design is adapted to be producible at scale on real machines.
MOQ (minimum order quantity)
The smallest production run a factory will accept, often the single biggest cash barrier for a new hardware startup.
Tolerances
The permitted variation in a part's dimensions. Tight tolerances mean parts fit consistently across thousands of units.
ABS
Acrylonitrile butadiene styrene, the production-grade plastic used in injection molding, which behaves differently from prototype resins.
Mold (tooling)
The custom steel cavity used to injection-mold a part. Expensive, made once, and paid for up front.
Stretch goal
A crowdfunding funding tier that unlocks an additional feature, used by Qalzy to let backers vote with money on multi-user support.
CoFID
Composition of Foods Integrated Dataset, the UK government's official food nutrition database, used alongside USDA data in Qalzy's 2.9 million item database.
Insulin bolus
A dose of fast-acting insulin taken to cover the carbohydrates in a meal, which is why accurate carb measurement matters to type 1 diabetics.
Glucose response
How a specific meal moves blood sugar, viewable in the Qalzy app using data from Apple Health or Google Health Connect.
Zone two
Sustained moderate-intensity aerobic exercise. Kostas counts his weekend windsurfing sessions as his.
Health Connect
Android's health data platform, the counterpart to Apple Health, which Qalzy reads from and writes to.
Patent pending
Qalzy's status on its combined weighing and visual recognition method.
Pre-Seed
The earliest institutional funding stage. Qalzy's is backed by Jenson Ventures.





