The LowCode Podcast

Jesus Vargas

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Entrepreneurship
Every two weeks

The LowCode Podcast is all about launching your MVP, getting clients, growing your side business and automating stuff. Listen to learn more about other founders and business owners like you, how are they coming up with ideas, how do they validate their products, and how to launch and grow a business.

6 days ago

S5 Episode 33 Launching Small to Scale Fast

Launching small isn’t a sign of limited ambition; it’s how smart teams learn fast enough to build the right product. In this episode of The LowCode Podcast, we unpack the development story of a trusted-review app that launched to just three people: its founder, his wife, and his son. Rather than chasing a massive public release, our team focused on proving one core behavior: could people discover recommendations from individuals they actually trusted? As those first users invited friends, real-world behavior began shaping the roadmap, and we learned that a chronological feed wasn’t enough, so later versions introduced destination browsing, category filters, personal collections, and basic relevance signals. Each improvement came from an observed friction point (not a theoretical feature list), showing how a deliberately small launch can produce clearer product decisions, stronger retention, and faster iteration. The central lesson is simple: your first release is not the finished product; it’s your first hypothesis. By staying close to users and building only what their behavior justified, we turned a minimal concept into a tool that eventually helped its founder discover a trusted restaurant recommendation in a city he had never visited. This episode explores why launching small gives founders room to correct assumptions, pivot with confidence, and scale a product people genuinely want to use.
22 Jul

S5 Episode 32 What Great Development Partners Do

What does it really mean to be someone’s development partner? In this episode of The LowCode Podcast, we share how an outdated, undocumented FinTech platform became a product capable of winning enterprise deals. The turnaround didn’t start with new features. It started with learning the business, reverse-engineering the existing product, and watching how real users actually worked. That insight helped our expert team of developers rebuild key workflows, improve the interface, and prioritize the reporting features buyers needed to trust the platform. Eleven months of close collaboration turned a neglected SaaS asset into a product the sales team was proud to demo, and a pipeline that was finally moving. For founders with neglected SaaS products, unfinished internal tools, or roadmaps that never seem to move, this episode explains why consistent iteration and deep business integration outperform the one-and-done build.
15 Jul

S5 Episode 31 The Real Cost of the Tool You Can’t Change

Small businesses don’t just lose time when software breaks they lose control. In this episode of The LowCode Podcast, we examine what happens when a company’s operations depend on a custom-built tool that no one on the team can update. Through the story of an entertainment company founder who spent eight months waiting for basic fixes to a broken vendor portal, we explore the hidden cost of developer dependency and why software ownership is about more than simply paying for the build. We also break down the transition to a mobile-first platform built with FlutterFlow. Designed around how musicians actually work, the new app gave users instant access to job details, schedules, contracts, and last-minute updates from their phones. More importantly, it allowed the internal team to change layouts, copy, and workflows themselves turning two-week support requests into updates that could be made in minutes. Finally, we look at why the first version of a product should start a conversation rather than end one. Once real users began working with the app, the team learned which features mattered most, redesigned key screens, and added push notifications based on real operational needs. The lesson is simple: effective technology should adapt as your business learns. True ownership means having the freedom to listen, iterate, and improve without waiting for an outside developer to hand you the keys.
8 Jul

S5 Episode 30 Rebuild Vs. Keep Building

Your first version is supposed to get you traction, not carry the entire company forever. In this episode of The LowCode Podcast, we dive into the moment when a successful V1 starts to show its limits, and how founders can tell whether their current platform is still helping them grow or quietly holding them back. We unpack the story of Maya, a K-12 EdTech founder whose AI grading platform had paying schools, real users, and clear demand, but was starting to outgrow the no-code tool it was originally built on. We explore how Maya moved from Glide to Bubble after her app began running into usage charges, database limits, and reporting constraints that made it harder to serve teachers and administrators. Instead of jumping straight into a rebuild, our team started with an audit: studying how the existing product worked, where it was breaking, and what real users were already teaching us. That insight shaped a more scalable version of the platform with better dashboards, student progress views, admin reporting, and a stronger foundation for future growth. Finally, we talk about why software evolution should be driven by observation, not just the original plan. Maya’s biggest product improvements came after launch, from watching how teachers and administrators actually used the platform in the real world. If you’ve already launched an MVP and you’re starting to design around your platform’s limitations instead of your users’ needs, this episode will help you decide whether it’s time to keep building or rebuild with the next stage of growth in mind.
3 Jul

S5 Episode 29 What a Development Partnership Looks Like Over Time

In this episode of The LowCode Podcast, we explore how custom software helped a 40-client digital agency move beyond messy handoffs, manual project setup, and scattered communication. The agency owner didn’t want another CRM, and for good reason: his team needed a system built around how they actually worked. What started as a simple internal hub replaced repetitive admin tasks with automated onboarding, project setup, client access, and cleaner team communication. We also get into what happened after the first version went live. Once the team began using the hub every day, new opportunities became obvious, including automated ROAS snapshots, weekly performance reporting, and meeting transcript summaries tied directly to each client project. Instead of pulling numbers, hunting through drives, or rebuilding the same reports before every call, the team could focus on client strategy with the right information already in front of them. Finally, we look at how solving internal problems can lead to new revenue. The same automation logic built for the agency is now being packaged into templates the owner can resell to his own e-commerce clients. It’s a reminder that great software does more than fix today’s bottlenecks; it can reveal what your business is capable of next. For teams still copy-pasting, chasing information, or repeating the same setup tasks every day, this episode shows why those workflows are often the best place to start.
24 Jun

S5 Episode 28 Why Most Companies Adopt AI Backwards

AI adoption is everywhere, but real operational improvement is still rare, and this episode of The LowCode Podcast breaks down why. We unpack the four-phase strategy behind effective AI implementation: foundations, training, private workspaces, and AI-native operations. Drawing from our webinar with Rising Ground, one of New York’s largest human-services nonprofits with more than 1,800 employees, we explore why the order matters more than the tool itself. We also dig into the real reason automation matters: time. For teams working in human services, the goal isn’t simply cutting costs or replacing tasks; it’s giving people back the hours they need to serve families, clients, and communities more directly. When AI handles reports, invoices, and repetitive administrative work, staff can spend less time behind desks and more time doing the human-centered work only they can do. Finally, we look at why responsible AI adoption starts with governance, not software licenses. Rising Ground’s approach shows the value of clear policies, internal committees, usage approvals, and private AI workspaces that protect sensitive data while helping teams move faster. If your organization is trying to move beyond scattered AI experimentation and toward real operational change, this episode offers a practical framework for building the foundation first.
17 Jun

S5 Episode 27 How to Tell Your AI Rollout Is in Trouble

In this episode of The LowCode Podcast, we break down why so many mid-market companies are spending heavily on AI without seeing measurable returns. The issue is not that AI does not work; it is that many companies are buying tools before defining what those tools are supposed to replace, improve, or eliminate. With billions wasted annually on disconnected AI spend, the real question is no longer “Which AI platform should we buy?” It is “What business outcome are we trying to create?” We walk through five warning signs that your AI adoption strategy may be burning budget instead of creating leverage. From tool lists disguised as strategy to custom AI builds launched before teams are properly trained, these patterns show up when companies chase software instead of operational impact. We also look at why AI budget should not live only in IT, and why operations leaders need a bigger role in deciding where automation can actually remove friction. Finally, we unpack what better AI adoption looks like: mapping workflows first, tying every tool to a clear outcome, training employees role by role, and building a roadmap that leadership can explain in plain English. Successful AI integration is not about collecting licenses or chasing the latest agent demo. It is about sequencing the work correctly, focusing on measurable outcomes, and making sure every AI investment has a job to do.
10 Jun

S5 Episode 26 Strategy Before the Stack: The Four Phases of AI Adoption

Too many organizations think AI adoption starts with buying software licenses. In this episode of The LowCode Podcast, we unpack why that mindset leads to shallow adoption, wasted budget, and tools people barely use. Instead of treating AI like a plug-and-play upgrade, we walk through a practical four-phase framework for making AI work inside real organizations. We start with AI Foundations: the unglamorous but essential work of documenting how decisions get made, where data lives, and which processes still depend on tribal knowledge. From there, we explore why staff training has to be role-specific, not a generic prompting webinar. AI only becomes useful when it fits into the way people already work, solves real friction, and becomes a habit instead of another unused tool. Finally, we look at what comes next: private AI workspaces and AI-native operations. A secure, company-specific AI environment gives teams the context, permissions, and data protection they need before automation enters the picture. Then, and only then, can AI agents begin handling repetitive work like reporting, document processing, scheduling, and follow-ups. If your organization is being pushed to “just buy ChatGPT for everyone,” this episode will help you make the case for strategy before the stack.

The LowCode Podcast is all about launching your MVP, getting clients, growing your side business and automating stuff. Listen to learn more about other founders and business owners like you, how are they coming up with ideas, how do they validate their products, and how to launch and grow a business.

Creator

Jesus Vargas
Years Active

2022 - 2026
Episodes

106
Rating

Clean
Copyright

© Jesus Vargas
Show Website

The LowCode Podcast