Disrupt or Defend

Softup Technologies GmbH

In the age of AI, founders face a constant choice: disrupt the market—or defend what they’ve built. Disrupt or Defend is a weekly podcast for startup founders, CTOs, and tech builders who want to stay ahead without losing focus on people and purpose. Host Daniel Kazani, co-founder of Softup Technologies, talks with founders and experts who are shaping the next wave of software innovation. From AI agents and low-code tools to scaling dev teams and building products that last, each episode explores the decisions that define a company’s future. If you’re building in tech and want real stories, practical lessons, and honest conversations about the balance between boldness and focus—this show is for you. Subscribe and join the community of builders defining what comes next in tech.

Episodes

  1. 18/12/2025

    How has AI impacted the startup scene, investment and funding rounds? | Ep. 8

    We are living through the most significant platform shift since the Internet. Host Daniel Kazani talks with guest Shefqet Avdullau, an angel investor, advisor, and speaker focused on growth-stage B2B SaaS, FinTech, ad tech, and health tech. The conversation starts with a story that moves from coding to multiple ventures to a meaningful exit, then into investing with a mentor who gave a head start on due diligence, pitfalls, and strategies. The weight falls on the team because the idea you start with does not necessarily mean you will end with it, and a good team can turn a bad idea into a great one. Then: AI and defensibility, wrappers, data-loop strategy, fine-tuning, and what happens if OpenAI or Gemini releases a new update tomorrow. Health tech and biotech, drug discovery, and turning biology into an engineering problem. ㅤ 👤 Guest BioShefqet Avdullau is an angel investor, advisor, and speaker. He invests in serial founders across the US and UK, focusing on B2B SaaS, FinTech, and ad tech at all stages, and on health tech specifically at the growth stage. His foundation is in tech; he worked in that field for about 13 years, started multiple ventures with some small exits, and then had one meaningful exit. In about four years, he has done about 16 investments and has had two exits. ㅤ 📌 What We CoverFrom coding, to multiple ventures, to a meaningful exit, to investing and joining a group of investorsA mentor with private equity experience, due diligence, pitfalls in investing, and strategies to followWhy serial founders come with a map, with a playbook, and go straight to finding product market fitScars, lessons, when things get tough, and why failure can be something you preferIdea versus team, pivots, and why the team can turn a bad idea into a great ideaTwo founders or more, complementary skillset, product, and sales, and a third on operationsFounder problem fit, domain experience, network, and solving an actual problem, not just for moneyAI wrappers versus defensibility, data loop strategy, fine-tuning, and “would this company die” after a new updateWhere AI is disrupting, health tech and biotech, drug discovery, simulating millions of interactions digitally, and FinTech underwriting with unstructured dataUsing AI for competitor analysis, risk analysis, and alternative potential revenue streams, and “it hallucinates a lot”A contrarian investment choice, two serial founders, employee disengagement, productivity, and invisible frictions ㅤ 🔗 Resources MentionedOpen AIGeminiFigmaNvidiaLinkedInlovable

    34 min
  2. 11/12/2025

    How are Mid-Market and Enterprise Companies using AI | Ep. 6

    A wave of excitement and activity around AI is hitting management consulting, and many leaders are asking the same questions. What is this AI thing? What do I do with it? And what does it really mean for my business? In this episode, host Daniel Kazani talks with Matthew Murphy, a partner at AMEND Consulting in Cincinnati, about how technology and AI now sit at the forefront of almost every new client conversation. ㅤ They explore why AI discussions often uncover missing fundamentals in process, technology, and data management, and why the biggest wins today show up in highly manual, tedious, document-intensive, and task-intensive work. From order entry and AR and AP automation to image recognition in retail stores and AI-supported assessments in consulting, they share concrete examples of AI agents working in a human-in-the-loop way. The conversation then moves to augmentation versus role replacement, departments that cannot fill roles, the new workforce entering the market, and how AI is reshaping the core business model of professional services and long-term client relationships. ㅤ 👤 Guest BioMatthew Murphy is a partner at AMEND Consulting, a management consulting firm based in Cincinnati. He has spent over a decade driving transformation for mid-market and large enterprises, working across people, process, and metrics. He also ran and led a software business at AMEND for four years. Now he helps clients in the age of AI and automation, helping them leverage technology and grow smarter across operations, analytics, and automation. ㅤ 📌 What We CoverWhy technology and AI are at the forefront of almost every conversation with new or existing clients, from enthusiasm to the fear of falling behindHow AI projects often start with automating a particular process, but lead to missing foundations in process, technology, and data managementReal-world automation in order entry, where customer service and inside sales teams spend most of the day keying in orders, and AI agents can now do a bulk of the workAccounting and finance use cases like AR and AP automation, financial close, and reconciliation, and how broad workflow and AI automation tools can be applied across many process areasImage recognition in retail, where store audits used to mean hundreds of pictures per store and manual review, and an AI agent now sifts through images with a high degree of accuracy and improves the quality of life for the teamHow AMEND assessments have changed from heavy note-taking and weeks of brute force compilation to AI agents that process notes, meeting recordings, and GoPro footage and produce first-pass gap and theme compilations in hours or daysAI as a way to capture and expose tribal knowledge from hundreds or thousands of work instructions, helping a newer workforce get up to speed more quickly, instead of hunting through file repositories or an LMSThe reality of augmentation versus role replacement, from overworked teams doing two people’s worth of work to departments that choose not to fill open roles because AI enables the same team to do moreWhy AMEND is raising the watermark for technical competency for new hires, partnering with universities, and still investing in junior talent even as some larger firms cut hiring targetsHow AI challenges the traditional dollars for hours model in professional services, pushes firms toward value-based pricing, and increases the importance of being a trusted advisor focused on long-term relationships and business impact ㅤ 🔗

    33 min
  3. 04/12/2025

    How Softup Technologies uses AI | Ep. 5

    AI is changing how software is built and how companies run day-to-day at Softup. Host Daniel Kazani sits down with co-founder and CTO Kristi Kristo to walk through concrete examples of how AI touches almost every part of the business. They talk about perfect developer profiles, automated estimations, and an internal Weekly Digest that helps decision makers spot opportunities and problems faster in a distributed team. ㅤ On the technical side, they share how Cursor and AI agents act as a co-developer, how some features ship with almost zero manual code, and why quality can even improve when context is structured well for the LLM. Kristi explains his bold goal of reaching zero manual code, why coding is only one part of software engineering, and how the role of the developer is moving closer to product, business context, and orchestration. They close with what AI transformation looks like for founders and SMEs today and why AI Labs at Softup experiments with the latest tools so customers can benefit from real, applied AI. ㅤ 👤 Guest BioKristi Kristo is the co-founder and CTO of Softup and Managing Director at Softup Technologies GmbH. His focus is on AI Engineers, AI Agents, and MVPs that scale as AI transforms how companies build and deliver products. Kristi describes his work with a simple line: AI Agents will transform every business - including yours. We build the systems that make it happen. At Softup Technologies, he leads teams that use advanced AI tools and workflows to deliver software faster while keeping a strong focus on real business problems. ㅤ 📌 What We CoverHow Softup uses AI on the business side to create perfect developer profiles, cut grammar mistakes, and avoid missing relevant experience when sending CVs to customers.Why automated estimations with AI remove 80 to 90 percent of the brain capacity and effort from the team, and how this turns two or three estimations per day into a streamlined process founders can rely on.The Weekly Digest automation workflow that collects what everyone did, what they will do next, and helps decision makers spot opportunities, problems, and availability across a distributed team.How developers at Softup use Cursor as an AI co developer, spin up multiple AI agents in parallel, and sometimes ship features and modules while writing almost zero manual code.Why Kristi believes writing manual code will go close to zero, why coding is only 30 to 70 percent of a developer’s time, and how orchestration, architecture, testing, and understanding business context become even more important.How the day to day of a developer has changed since the LLM world, with ChatGPT, Cursor, codex, sonnet, cloud code, and Code XCLI always open as part of the normal workflow.Why Kristi thinks newcomers may not always need to know code deeply if AI agents for testing, security, and cloud give a thumbs up, and why shipping and orchestration skills matter more over time.What Kristi and Daniel Kazani see in the market: a two year lag between the first OpenAI release and real pressure from CEOs, boards, and investors to invest in AI across customer support, finance, sales, guest experience, PropTech, FinTech, and more.How Kristi splits AI work into automation...

    32 min
  4. 27/11/2025

    How to Build with AI: Expert Advice from an NVIDIA Architect | Ep. 4

    AI impresses Xhoni Shollaj almost every day, from protein folding and the idea of a virtual cell to autonomous driving and robotics. In this conversation, host Daniel Kazani follows Xhoni’s journey from business studies and data roles at PwC and EY in Albania and Bulgaria to a Master of Science at the National University of Singapore and his current work as a senior AI solutions architect at NVIDIA. ㅤ The discussion moves from early natural language processing and computer vision projects, document reduction and summarization tools, to building and maintaining large scale language model applications. Xhoni shares how staying in touch with GitHub trending projects, arXiv style paper feeds, and the open source community shaped his path. Founders, CTOs and decision makers hear concrete talk on AI experiments versus production systems, scalability, security, hallucinations, golden datasets, vibe coding, tools like Cursor, ChatGPT and Gemini, and why contributing to open source with teams at NVIDIA, Google and others can be a powerful way to stand out. ㅤ 👤 Guest BioXhoni Shollaj is a Senior AI Solutions Engineer at NVIDIA, specializing in developing and deploying large language model architectures. He started with business, moved into computer science, and began his AI journey in research and development teams at PwC and EY in Albania and Bulgaria, building machine learning based applications and automation solutions. Xhoni then joined the National University of Singapore, working on internal automation tools and research support for patents and papers, before moving into his current role at NVIDIA in Asia. ㅤ 📌 What We CoverHow Xhoni moved from business studies and data roles at PwC and EY in the Balkans to a Master of Science at the National University of Singapore and into AI solutions work at NVIDIA.Why he chose Singapore for its faculty, research direction and blend of cultures, and how being location agnostic helped him follow the strongest data science programs.The habits he sees as most useful for people who want to succeed in AI, including staying in touch with the latest technologies, GitHub trending, arxiv style feeds, open source projects and strong news sources.Areas where AI feels most disruptive today, from protein folding and the path toward a virtual cell for drug discovery and disease treatment to space exploration, SpaceX and ideas like space data centers.How to distinguish an AI experiment or small POC from a production system, with concrete points on autoscaling, multi cloud and multi zone backups, security pipelines, identity and access management, encryption, multilingual behavior, hallucination tracking and observability.Approaches to accuracy and hallucinations, including well built RAG pipelines, choosing the right benchmarks and metrics, literature reviews, leaderboards, human in the loop evaluation and tracing problems back to data sources or model behavior.The reality of vibe coding for non technical founders, why it is a net positive and equalizer, and how to combine fast POCs with later help from experienced engineers on scaling, security and edge scenarios.Tools and workflows Xhoni personally uses, such as Cursor with Claude 4.5 Sonnet, ChatGPT and Gemini for brainstorming, creating plans, testing ideas and even asking models to make fun of an idea to expose weak points.The most common challenge companies face when integrating AI into their business, why a golden dataset and clean, validated, well reviewed data can make or break a project, and how...

    39 min
  5. 20/11/2025

    What’s it really like working with a dev agency? | Ep. 3

    Hiring a dev team can feel risky when you are not sure who you are working with, how stable the team is, or what happens after launch. Producer Joseph Lewin sits down with co-founder Daniel Kazani to address real questions founders ask about working with Softup. The conversation walks through concrete onboarding timelines, how senior developers reach full productivity within weeks, and why long-term relationships with the same developers matter for serious products and AI solutions. Listeners hear how flexible contracts, clear IP terms, and predictable maintenance costs protect founders in uncertain moments. Daniel also shares a story of a non-technical founder who lost a CTO mid-journey and used the Softup team to keep the product, pilots, and funding conversations moving without disruption. ㅤ📌 What We CoverHow Softup sets clear expectations on onboarding, from a 4 to 6 week standard to rare fast-start cases within daysWhy senior, high-agency developers with domain experience reach full productivity in 2 to 3 weeksHow two-week sprints, focused check-ins, and familiar tools like Atlassian, monday.com, Asana, Trello, GitHub, and Bitbucket keep collaboration transparentWhat long-term stability looks like, including 33-month average client relationships and 22-month average on the same project without developer switchesHow flexible notice periods, optional longer commitments, and straightforward IP ownership terms reduce stress for founders managing cash and riskPractical paths after go-live: scaling the same team, pausing with low maintenance costs, or taking everything in-house with full handover and documentationHow remote and nearshore teams became normal after COVID, and why time zone alignment and trust matter more than office locationA real founder story where the Softup team stepped in as the technical arm after a co-founder breakup and kept enterprise pilots and fundraising on track ㅤ 🔗 Resources MentionedSoftupAtlassianmonday.comAsanaTrelloGitHubBitbucketAmazonGoogleOpenAIMicrosoft

    26 min
  6. 13/11/2025

    How Softup Delivers Top Developers Without the Headache | Ep. 2

    Top founders face a real tension between moving fast with AI and carrying the weight of building an in-house team. In this conversation, host Daniel Kazani walks through how the Softup model equips startups with top developers who use AI tools daily, cut delivery timelines, and remove hiring headaches. The discussion explores AI as a practical accelerator in software development, from tools like Lovable and Copilot to real examples of building internal apps through prompting instead of traditional coding. Joseph and Daniel unpack why flexible augmented teams protect runway, how domain expertise in areas like fintech and proptech compounds over years, and why communication, time zone alignment, and instant access to specialists matter more than ever. A clear throughline: maximum speed, flexibility, and cash preservation without sacrificing quality. ㅤ 📌 What We CoverHow AI tools like Copilot and Lovable make development 30 to 50 percent faster and change what a “developer” day-to-day role looks like.Why founders who ignore AI supported workflows fall behind peers who use prompting, agents, and automation for real projects.The launch of Softup AI Labs as a space to test challenging use cases, build with tools like n8n, Make, and Zapier, and aim for minimal manual code.The real cost of in-house hiring: defining roles, writing job descriptions, sourcing candidates, screening 50 to 100 applicants, and investing hours per interview.Why Softup hires for both technical depth and strong communication, filtering for red flags, soft skills, and client facing confidence.How long term developers build domain expertise in areas like fintech and proptech and why that combination is hard to replicate internally.The value of flexible, augmented teams that can scale up for critical phases like launch, QA, and security checks, then scale down to protect runway.How time zone proximity to Europe and the US, direct access to developers on Slack, and on site collaboration create smoother, faster delivery.Price and productivity dynamics where high quality nearshore teams plus AI can outperform more expensive or slower alternatives. ㅤ 🔗 Resources MentionedSoftupLovableCopilotn8nMakeZapierAWSSlackLinkedInWill Smith “eating spaghetti” AI video referenceOracleMicrosoftChamath Palihapitiya

    38 min
  7. 06/11/2025

    Hire Developers Without Burning Through Your Runway | Ep. 1

    Running out of cash before software reaches viability is one of the biggest pitfalls. Producer Joseph Lewin introduces host Daniel Kazani as they dig into how to develop software without running out of cash. The conversation compares three paths for early traction and scale up: hire in-house, work with freelancers, or partner with an agency. Daniel explains commitment, premiums, and flexibility, including pause and resume development, start in two to four weeks, and build for three to six months. The discussion covers waiting for a CTO, the sweet spot of two to three months, and why CTO as a service can cover investor meetings, technical roadmap, scalability, and cloud. They highlight speed, screening and onboarding realities, notice periods, equity, and how priorities shift with new customers, funding, or AI. The episode calls out why maximum flexibility and maximum speed protect cash flow when things change. ㅤ 📌 What We CoverThe tradeoffs between in-house, freelancers, and an agency for early traction and scale-upCommitment windows like six to twelve months vs pause and resume development for three to six monthsWhy waiting more than two to three months for a CTO can let the market shiftCTO as a service for investor meetings, technical roadmap, scalability, cloud, DevOps, and cybersecurity touchpointsThe real hiring timeline: defining the role, screening, technical vetting, offers, equity, onboarding, and notice periodsBroad expertise vs specific expertise, and shifting priorities across backend, QA, DevOps, databases, cloud, and securityRisks of hiring students for core product work, including exam periods and speedReputation concerns with outsourcing, buying as much as you can afford, and having one neck to choke ㅤ 🔗 Resources MentionedLinkedInNaval RavikantAWSMetaSan Francisco

    32 min

About

In the age of AI, founders face a constant choice: disrupt the market—or defend what they’ve built. Disrupt or Defend is a weekly podcast for startup founders, CTOs, and tech builders who want to stay ahead without losing focus on people and purpose. Host Daniel Kazani, co-founder of Softup Technologies, talks with founders and experts who are shaping the next wave of software innovation. From AI agents and low-code tools to scaling dev teams and building products that last, each episode explores the decisions that define a company’s future. If you’re building in tech and want real stories, practical lessons, and honest conversations about the balance between boldness and focus—this show is for you. Subscribe and join the community of builders defining what comes next in tech.