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S12 E24 P2: Why Off-the-Shelf APIs Fail Complex Web Workflows and the Blueprint for High-Velocity Product Engineering with Volodymyr & Vitalii Sydorenko, Co-Founders of Gearheart

Code Story: Insights from Startup Tech Leaders · 15 min

0:00--:--

Key moments - from our scoring

Substance score

38 / 100

Five dimensions, 20 points each

Insight Density8 / 20
Originality6 / 20
Guest Caliber10 / 20
Specificity & Evidence8 / 20
Conversational Craft6 / 20

Volodymyr and Vitalii Sydorenko discuss how Gearheart scaled from a small, fast-moving team to a 40-person agency while maintaining quality and deliberate growth principles. The brothers initially resisted scaling - turning down projects to avoid hiring - inspired by examples like Instagram's lean 13-person acquisition. However, a market crisis in 2022 forced them to build proper business development infrastructure, moving from pure client work to positioning Gearheart as a product itself with positioning, pipeline, and growth structure. They now operate dual strategies: using AI as an accelerator for complex enterprise projects (like Capital One's SmartSpeed platform with its sophisticated formula engine), while launching Beyond the Wall, an AI-native brand for rapid MVP delivery in 24-48 hours for early-stage founders. Volodymyr emphasizes learning from a critical early mistake - building high-volume data processing architecture on assumptions rather than metrics - which taught him to validate designs through proof of concept. For aspiring founders, they stress knowing your first paying customer by name (not just target market) and remembering that technology serves business needs, not vice versa, even when it conflicts with engineering aesthetics.

Key takeaways

  • →Gearheart intentionally resisted scaling by turning down projects rather than hiring unnecessarily, prioritizing team speed and autonomy over growth for growth's sake.
  • →A critical early mistake involved making architecture decisions based on assumptions rather than proof of concepts and metrics, leading to performance failures that required substantial rework.
  • →In 2022, when market conditions shifted, Gearheart realized they had neglected business development and rebranded to treat Gearheart itself as a product with proper positioning and pipeline strategy.
  • →The company is now pursuing two parallel directions: AI-native MVP delivery (Beyond the Wall brand targeting early-stage founders) and complex enterprise projects where AI accelerates developer work without compromising quality.
  • →For enterprise products, AI is becoming a foundational layer that requires clean data architecture, robust APIs, and permission models designed from the start to handle AI-driven automation.

In this episode

  1. 1Resisting Growth and Building Small, Fast Teams
  2. 2Scaling Challenges and Business Development in 2022
  3. 3Pride in Team and Technical Achievements
  4. 4Learning from Production Failures and Architecture Mistakes
  5. 5Dual AI Strategy: Complex Projects and MVP Development
  6. 6The Future of AI-Driven Development at Gearheart
  7. 7Advice for Young Entrepreneurs: Business Over Technology

Mentioned

GearheartInstagramCapital OneBeyond the WallSmart SpeedVolodymyr SydorenkoVitalii SydorenkoNoah Labhart

Guests

Volodymyr SydorenkoVitalii Sydorenko

Topics in this episode

GearheartBeyond the WallSmart SpeedCapital One BankAI-native developmentMVP delivery in 48-72 hoursEnterprise architectureFormula engineBusiness development processesGenOS AI developers

Questions this episode answers

How did Gearheart handle scaling the team while maintaining its culture of speed and quality?

Volodymyr initially resisted growth by turning down projects rather than hiring, wanting to keep the team small and fast-moving. However, at 40 people, they realized they needed some hierarchy and reporting structure. The real inflection point came in 2022 when a market crisis forced them to professionalize business development, treating Gearheart itself as a product with proper positioning and growth processes rather than relying on reputation alone.

What critical architectural mistake did Volodymyr make early at Gearheart and how did he respond?

Volodymyr designed a high-volume data processing system based on assumptions from books rather than validation, and it failed to scale within days. He rebuilt the approach around proof of concept, metrics collection, and explicit reasoning for design decisions instead of guessing. The client relationship remained strong despite the rework, teaching him that architecture decisions require validation, not assumption.

What are Gearheart's two distinct AI strategies for different project types?

For complex enterprise projects like Capital One's SmartSpeed, AI accelerates developer work while maintaining architectural complexity and quality standards. For smaller MVPs under the Beyond the Wall brand targeting early founders, Gearheart uses an AI-native approach where managers generate most code upfront, aiming to deliver full MVPs in 24-48 hours with minimal developer involvement early on.

What advice do the Sydorenko brothers give to technical founders about the relationship between code and business?

Technology must serve business needs, not the other way around. Developers often get lost in building beautiful internal architectures and forget about market timing and business priorities. When code and business needs conflict, business should always win - a hard mindset shift for engineers who care deeply about technical quality.

How did Gearheart's neglect of business development impact the company during the 2022 market downturn?

The brothers had focused entirely on doing great work for clients while ignoring business fundamentals: no pipeline, no positioning, and no growth structure. When the market turned in 2022, they felt it immediately. They responded by applying the same product discovery and business development rigor they used with clients to Gearheart itself.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

8 / 20

The episode contains a handful of genuine practitioner observations - most notably the pivot to treating Gearheart itself as a product after neglecting business development, and the dual AI strategy for complex vs. MVP projects - but these are surrounded by significant filler and platitudes with little compression of ideas per minute for a 15-minute episode.

No pipeline, no positioning, no structure on growth. When the market turns in the start of the 22, we felt it immediately because there was nothing underneath us.
We can have our managers generate quite a lot of but a lot of code and go through some initial stages of the projects really quite far before developers actually join.

Originality

6 / 20

The episode leans heavily on recycled frameworks and well-worn references - the Instagram 13-employee acquisition anecdote is a cliché, 'technology serves the business' is stock advice, and 'treat your company like a product' is standard consulting language; very little genuinely fresh or contrarian thinking surfaces.

When Instagram was acquired, it only had 13 employees, right?
programming and technology it serves the business, not the other way around

Guest Caliber

10 / 20

Volodymyr and Vitalii are genuine practitioners who built and run a real software agency with a named enterprise client and a product at meaningful scale, but they are founders of a mid-size dev shop with limited brand recognition and no evidence of truly exceptional scale or industry influence.

Capital one bank is using it, and some other interesting things.
Still, eventually, as I told, we do need, like at 40 people, you still need to have at least some level of hierarchy, sensations, reporting, things like that

Specificity & Evidence

8 / 20

There are a few concrete anchors - Capital One as a named client, a team threshold of 40, the 2022 market downturn, and a claim of MVPs in 2 weeks targeting 48 - 24 hours - but no revenue figures, no project metrics, and most claims remain at a vague directional level without hard evidence.

Capital one bank is using it, and some other interesting things.
we build this MVP site sales already in MVP in two weeks, we ask in our staff a question of what we can do to deliver it like in 48 hours or in 24 hours

Conversational Craft

6 / 20

The host relies entirely on generic, pre-scripted question templates - 'what are you most proud of,' 'tell me a mistake,' the clichéd airplane scenario - with no follow-up probing, no pushback on vague claims, and no attempt to extract specifics when guests stay at a surface level.

You're getting on playing, and you're sitting next to a young entrepreneur who's built the next big thing.
Let's flip the script a little bit and this could be individually or together if you have an example, but I'm curious about a mistake you've made

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

speaker151team15projects12interesting11part10built8code6start6build6developers6story5project5scale5complicated5building5proud4

Episode notes

Volodymyr Sydorenko lives in London, and collects mechanical keyboards. His most unusual hobby is that he does clay sculptures of characters, or random people at times. He has 2 cats, and likes to spend time outdoors. In fact, in 3 weeks time from this recording, he will traveling to Switzerland to do the Via Ferrata. To add to all of this, he has started to write children's books and hopes to publish them someday. Vitalii Sydorenko currently lives in Lisbon, Portugal. He is into sports, loves to hit the gym and regularly tracks his calories. Last year he started playing tennis and finds that he can't stop. He enjoy hiking, which is great in Lisbon. And in the past, he spent many years building startups, exiting, and also in venture capital You may have noticed that Volodymyr and Vitalii have the same last name... that is because they are brothers. As kids growing up, they did a lot of boxing together, as well as cling to classic films like Back to the Future. Fourteen years ago, Volodymyr got interesting in building solutions, and realized he could only get so far by himself... so he decided to build a team to deliver these solutions.

Full transcript

15 min

Transcribed and scored by The B2B Podcast Index.

[SPEAKER_01]: This is code story. [SPEAKER_01]: A podcast bringing you interviews with tech visionaries. [SPEAKER_01]: Six months moonlighting goes. [SPEAKER_00]: I was lossing on the backhand.

[SPEAKER_01]: Who share what it takes to change an industry? [SPEAKER_00]: I don't exactly know what to do. [SPEAKER_01]: It doesn't go as to get right. [SPEAKER_03]: Who built the teams that have their back company, is it's that teams help each other achieve this proud of our team.

[SPEAKER_01]: Keeping scalability top of mind, all that infrastructure was that they didn't even fighting it as we grew. [SPEAKER_01]: Total waste of time. [SPEAKER_01]: The stories you don't read in the headlines. [SPEAKER_01]: It's not an easy thing to achieve, because the self-invested it off and tried it again.

[SPEAKER_01]: To ride the ups and downs of the start-up line, need to really want it. [SPEAKER_01]: Not just about technology. [SPEAKER_01]: All this and more, on code the story. [SPEAKER_01]: I'm your host Noah Labhart, and today we return with part two of our conversation with Vladimir and Vitali of Gearhart.

[SPEAKER_01]: I'm curious about how scaleability for the business and for project delivery is being considered in how you set up your heart and how you started in the early days and I'm also interested in if there has been interesting areas where you've had to fight scale as you've grown. [SPEAKER_01]: And I'm not necessarily talking about technology scale for gear heart, more of business and team. [SPEAKER_03]: I guess I'll tell a little bit about how I resisted scaling under the telemetallic foundation done.

[SPEAKER_03]: So, as I told, I wanted the liberty to keep team-solve, and that wasn't national. [SPEAKER_03]: I did turn down projects because I didn't want to hire more people because I was comfortable in the size of the team, of how we work, and so I did find that. [SPEAKER_03]: So when I just started working as developer my second job as a developer, it was a pretty large company and I was hired for a specific project that was about to start. [SPEAKER_03]: And I left the company in about a year and the project still didn't start.

[SPEAKER_03]: And it's not because something was wrong or anything is just the way company operated. [SPEAKER_03]: I was doing something in the middle and just I was looking at the speed of how things [SPEAKER_03]: I cannot be in this large company that moves so slow. [SPEAKER_03]: So I really wanted to have a small team that moves fast and by attracting those people who are against self motivated self organized and really strong is developed as well. [SPEAKER_03]: That's how developed, pretty interesting project without blotting this stuff.

[SPEAKER_03]: When Instagram was acquired, it only had 13 employees, right? [SPEAKER_03]: So I always got this gut feeling that you don't really need a large team to make something interesting and disruptive, and I still convinced them that, right? [SPEAKER_03]: So there was this part where I resisted growing the team and complicating our workflows and stuff, and [SPEAKER_03]: to just for the sake of growth. [SPEAKER_03]: So, there was that part.

[SPEAKER_03]: Still, eventually, as I told, we do need, like at 40 people, you still need to have at least some level of hierarchy, sensations, reporting, things like that, and that's when I also forget all this kelp, so if you need that part out. [SPEAKER_02]: I would say that this mindset of keeping the team small was tested pretty hard in 2022 and a little bit later when a crisis hit. [SPEAKER_02]: And we had to build proper business development for Australia. [SPEAKER_02]: Unconfortable but valuable.

[SPEAKER_02]: We learned to find clients without a line on peripherals alone. [SPEAKER_02]: We just learned most agencies believe in an island dive. [SPEAKER_01]: This will be interesting. [SPEAKER_01]: Your brothers, you're working together, you're transforming your heart.

[SPEAKER_01]: As you step out with balcony, look across all that you've built together. [SPEAKER_01]: What do you must proud of? [SPEAKER_03]: My song is a bit obvious, but like honestly, I'm pretty proud of the team itself. [SPEAKER_03]: My shelf here, I have a small Stimpunk style robot figure that my team gave me for both of the day.

[SPEAKER_03]: I guess it was a while ago, but I think that was the first time I realized I think I built something that's alive, and I have this robot that reminds me of that, I really like the team itself and how we work. [SPEAKER_03]: Now, in terms of like projects and technical things that we've done, I'd add smart speed for sure. [SPEAKER_03]: That's the most complicated thing that I've built. [SPEAKER_03]: And it's quite high load as well.

[SPEAKER_03]: Capital one bank is using it, and some other interesting things. [SPEAKER_03]: You might want to check it out on their landing page. [SPEAKER_03]: So, there are just so many features. [SPEAKER_03]: And if you take a look at smart speed, if you're using it, there is a formula engine in there, in particular.

[SPEAKER_03]: It's the next little spreadsheet formula, [SPEAKER_03]: complicated in that it's all programming and it's just no that there are many late evenings with coffee when I was just digging for walks and Tying that that thing to work at scale But there's just one part of it. [SPEAKER_03]: There's so many interesting bars to smarts with it. [SPEAKER_03]: It's the little I'd probably meet but team as well. [SPEAKER_03]: So technically that's the thing for sure [SPEAKER_02]: For me, actually, I think that it's something that we are still in the middle right now.

[SPEAKER_02]: There's a few years that we've made over the last few years. [SPEAKER_02]: We're thinking of positioning. [SPEAKER_02]: Now we'll start the new branch, putting a gear card itself like a product that needs to be designed and sold. [SPEAKER_02]: It's harder and more interesting than anything we've done before.

[SPEAKER_02]: I can't point to a result yet so I know the quality of thinking that's wanting to eat and that matters to me. [SPEAKER_01]: Let's flip the script a little bit and this could be individually or together if you have an example, but I'm curious about a mistake you've made and how you and your team responded to it. [SPEAKER_03]: We had fair share of situations when something got broken in production and 3M, and we are figuring it out. [SPEAKER_03]: So there were plenty of those situations, and it's kind of part of the job yet, way to learn how to make reliable systems.

[SPEAKER_03]: I guess there was one moment, like there was one mistake that I'm not proud of out. [SPEAKER_03]: So we were building one of our first projects. [SPEAKER_03]: We were building that was about pretty high volume of data processing, and I made an architecture for that and we developed it. [SPEAKER_03]: And the first version that we did, like it didn't really scale, but we run it, and in like in few days, it was obvious that it's not working.

[SPEAKER_03]: Like as fast as it should be working, I was like, how did that happen? [SPEAKER_03]: And so I realized that I made this design essentially based in my assumptions on how things will behave underlords, and things like I read in books, and just assumed how they will work. [SPEAKER_03]: and that was a momentarily, I cannot make guests like that anymore this scale. [SPEAKER_03]: So we changed it, so it fixed it, so everything was fine eventually.

[SPEAKER_03]: We had to redo a good chunk of that part of the project. [SPEAKER_03]: We had great relationships with the client, so it wasn't like a huge hit for the business or anything. [SPEAKER_03]: It was just the part when I realized that I need to change my way of thinking when I'm making this types of decisions. [SPEAKER_03]: And so now it's more about liking proof of concept, collecting metrics, and explaining to myself why exactly I'm making this decisions.

[SPEAKER_03]: And to make sure that I'm not guessing and assuming all things will work. [SPEAKER_02]: We're both focused on doing great work for our clients. [SPEAKER_02]: Let's be completely neglected buildings at business itself. [SPEAKER_02]: No pipeline, no positioning, no structure on growth.

[SPEAKER_02]: When the market turns in the start of the 22, we felt it immediately because there was nothing underneath us. [SPEAKER_02]: Not nothing, of course, nothing in terms of business development. [SPEAKER_02]: The response was to treat your card like a product. [SPEAKER_02]: You were building it for the first time.

[SPEAKER_02]: Run discovery, figure out what we were actually for. [SPEAKER_02]: Those are positioning, create a real business development process. [SPEAKER_02]: Actually, same things we added by them, all our clients, we did it for ourselves after your influence by the market. [SPEAKER_02]: And that shift actually changed a lot.

[SPEAKER_01]: Okay, let's move into the future. [SPEAKER_01]: What does the future look like for GearHard? [SPEAKER_01]: Obviously, you've shifted to focus to some new areas. [SPEAKER_01]: That's exciting.

[SPEAKER_01]: You're working together. [SPEAKER_01]: What does the future look like for the industry for GearHard and for what you're offering? [SPEAKER_03]: essentially with introducing your brand and that's partly explains how we see the process, but so we still continue building more complicated projects as GearHeart, and we're also starting to build these somewhat smaller MVPs using AI, and making them a special with AI working these two directions is quite different approaches.

[SPEAKER_03]: So when working in more complicated projects, we see that at least at the moment the I cannot replace the developers and just be like an accelerator for them. [SPEAKER_03]: Working with the more complex projects, we are looking for ways on how we can speed up our work using AI. [SPEAKER_03]: But still maintain the same level of quality as we do there, the same level of complexity of the architecture that we have to work with on those projects. [SPEAKER_03]: Now to compromise what we're doing there.

[SPEAKER_03]: And so that's one way of using AI. [SPEAKER_03]: and with teleprojects and butprojects, these MV stages, especially, it is interesting that we can now with the tools we've built. [SPEAKER_03]: We can have our managers generate quite a lot of but a lot of code and go through some initial stages of the projects really quite far before developers actually join. [SPEAKER_03]: So it's interesting to see [SPEAKER_03]: how that will happen, right?

[SPEAKER_03]: So we have these two direction stats on one hand we have beyond the wall, which is this EI native approach, where we start with this mindset of, okay, we are generating all of it, at least most of it, we're just generating and we're building our processes and propositioned around that. [SPEAKER_03]: And we see how that is growing, how we can expand type of tasks and projects that we can build this way. [SPEAKER_03]: And on the other side, we have the team that's working on more complicated projects.

[SPEAKER_03]: There's just no way right now projects of that K-leg smarts we can fit into any models context or anything. [SPEAKER_03]: So it's a different approach. [SPEAKER_03]: So it's interesting for me to see how that will evolve if the gap will still be there. [SPEAKER_03]: If this will become smaller and how we can use the iNOR and our work [SPEAKER_02]: Yes, so there are like two directions, both driven by AI, but in different ways.

[SPEAKER_02]: Before, beyond the wall, the brand grasped in and out for early stage founders. [SPEAKER_02]: If now we, I mentioned that we build this MVP site sales already in MVP in two weeks, we ask in our staff a question of what we can do to deliver it like in 48 hours or in 24 hours. [SPEAKER_02]: And I think it's more than possible next year or so that's where we are going with it and talking about year files and enterprise create platforms. [SPEAKER_02]: I think that AI is becoming a layer that every series past product needs to be ready for.

[SPEAKER_02]: What is interesting, they all should have this clean data architectural field or APIs, permission models that don't break when AI starts acting on behalf of users. [SPEAKER_02]: It's a new version of the same part problem we've always solved. [SPEAKER_02]: And what we also want to shoot here and go more and more, how can we automate some development even in this huge products to AI and to have the AI and GenOS AI developers connected to our team. [SPEAKER_02]: We have far from there now, but everything is moving so fast that I live again.

[SPEAKER_02]: and to have this next theme with real developers and AI developers. [SPEAKER_01]: Let's move to the last question, Velso. [SPEAKER_01]: You're getting on playing, and you're sitting next to a young entrepreneur who's built the next big thing. [SPEAKER_01]: They're jazzed about it, they can't wait to show it off to the world, and can't wait to show it off to you right there on the plane.

[SPEAKER_01]: What advice do you give that person having built? [SPEAKER_01]: Gearhard, having built startups, having done all the things that collectively you both have done, what advice do you give that person? [SPEAKER_02]: I would generally want to see it that energy is so infectious. [SPEAKER_02]: I know it's myself when you are like this your idea you just bring energy in every room.

[SPEAKER_02]: So I would definitely want to just be near this person just to get some of this energy. [SPEAKER_02]: But at some point of course I would ask who is the one person who will pay for this on day one. [SPEAKER_02]: Not who's a target partage, just name one specific person, because if you can name them, you're still in love with a DM not the business, and that's okay, just know where you are. [SPEAKER_03]: I will just assume as a technical person, that I'm sitting at a plane with a technical founder or a technical co-founder of projects, and he's willing or eager to show me like a code and how it did stuff.

[SPEAKER_03]: If we were to give some advice to young person at the stage, I think it's important to remember that programming and technology it serves the business, not the other way around. [SPEAKER_03]: I think many people in me as well, as we younger, we get to get lost in the art of things and how we build things, how beautiful it is internally, and you forgot about that part. [SPEAKER_03]: So [SPEAKER_03]: There will be many moments where programming as a card will be in conflict with what business needs right now and it just the business should always win.

[SPEAKER_03]: And it's really hard sometimes for developers to get to terms with that because we want to build stuff that is beautiful internally, but at the end of the day like business always been. [SPEAKER_03]: And it's important to have that mindset going to this business. [SPEAKER_01]: Vladimir Natali, thank you for being on the show today. [SPEAKER_01]: Thank you for telling the creation story of Gearhart.

[SPEAKER_01]: Thank you, duh. [SPEAKER_03]: Thanks for having us. [SPEAKER_01]: In this concludes another chapter of Code Story. [SPEAKER_01]: code story is hosted and produced by Noah Labhart.

[SPEAKER_01]: Be sure to subscribe on Apple podcast, Spotify, or the podcasting app at your choice. [SPEAKER_01]: And when you get a chance, leave us a review. [SPEAKER_01]: Both things help us out tremendously. [SPEAKER_01]: And thanks again for listening.

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