Old School / New Tech

Ran Aroussi

Old school thinking meets new tech — live, unfiltered podcast, hosted by Ran Aroussi and a co-host you won’t see coming ​Live every episode. No production lag, no editing. Business, AI, tech, startup ideas, and whatever's worth talking about — through the lens of someone who's been building production systems for 35+ years. Join the live podcast (and stick around after for the AMA) at: https://aroussi.com/live

Episodes

  1. 5d ago ·  Video

    E06: How I Work: My Solo Dev Setup, Time Management, and Running two Companies

    How I Work: My Solo Dev Setup, Time Management, and Running two Companies A solo episode answering a question I keep getting asked: how do I get through it all? I walk through my full setup - the dedicated remote Mac that acts as my "local" environment, Droid as my coding harness, Paseo for exploratory work, Cloop for mature codebases, MUXI as my assistant running through Claude Desktop over MCP - plus why I self-host almost everything, and it has nothing to do with saving money. Then the harder part: how I manage time. My job stopped being doing the work and became deciding which bucket the work goes in. I make 20-30 decisions a day and almost all of them are classifications - rails or agents, automated or human, or time to kill the process entirely. Anything I've done more than a few times gets automated into one of three buckets. Most of my time goes into thinking rather than typing, stripping products back to first principles and deciding what not to build. I also cover why most of my automations are deliberately gated behind human approval, why I read every line the agents produce, how Automaze actually runs without me, where leads really come from after 15 years of open source, and why I embed myself as the FDE with every new client before handing off. All of it exists to protect the context in my head. Everything else is scaffolding. 00:00 Welcome and Envapor 00:50 Why My Workflow 02:16 Cloud Local Setup 04:03 Coding Tools Stack 07:26 Personal Productivity Apps 08:51 Self-Hosting Philosophy 09:46 Multi-Agent Workflow 10:35 Time Management Decisions 11:54 Automation Buckets 14:40 Research and Judgment 17:25 Email and Gated AI 19:45 Running Automaze VarOps 20:58 Inbound Leads Flywheel 22:08 FDE Founder Onboarding 25:16 Wrap Up and Newsletter ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

  2. Jul 16 ·  Video

    E05: Sessions - I built an Open-Source Secrets Tool Live (and OBS Died Halfway)

    Why can't we just commit our .env files?" A clip of that question showed up on my feed, and instead of tweeting about it, I sat down and built the answer - live, in one sitting, from an empty repo to a working open-source tool. This is that build. Envapor is a Git-native utility that encrypts the values in your .env files: you edit .env exactly like you do now, Git stores it encrypted on commit and hands back plaintext on checkout. No .env.enc, no wrapper commands, nothing to change about how your app loads config. Along the way: why deterministic encryption is the whole ballgame for keeping diffs readable, the difference between a tool that looks done and one you'd actually trust with production secrets, an unplanned OBS crash 20 minutes in that moved the whole thing to YouTube, and the judgment calls an AI agent gets subtly wrong that would've shipped a broken security tool. Two and a half hours, no script, no highlight reel. The finished tool is open source and linked below. 🔗 Repo: https://github.com/automazeio/envapor 🔗 Full unedited build (YouTube): https://www.youtube.com/watch?v=p4BYP9DFp9c&list=PLWwTwUPfg-UU ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

    E05: Sessions - I built an Open-Source Secrets Tool Live (and OBS Died Halfway)
  3. Jul 8 ·  Video

    E04: AI adoption isn't something you buy

    Why AI Adoption Fails at the Human Layer (and How to Fix It) Muximus and Ran discuss why AI adoption in organizations often fails due to human and organizational factors rather than the technology itself, with people—especially senior leaders—freezing from fear of seeming behind, FOMO, and pressure to master fast-changing tools. They argue companies are still in a “make me an AI” phase, shopping for tools instead of aligning AI with real workflows. Key recommendations include picking any one tool and committing for months to break paralysis, then implementing structured training based on how teams already work; fitting AI into existing processes rather than remolding the organization; measuring outcomes like speed and stress reduction instead of token usage; creating internal champions and casual knowledge-sharing sessions that also help leadership learn; expecting a short-term productivity dip; leveraging AI already embedded in existing SaaS tools before building custom; and avoiding constant switching to new models unless driven by capability, cost, or deprecation. 00:00 AI Adoption Paradox 00:40 Fear of Looking Behind 01:37 Corporate Make Me AI 03:01 Pick One Tool First 05:04 Workflow First Training 08:10 Measure Real Outcomes 11:04 Champions And Meetups 15:07 Expect The Productivity Dip 17:22 Do The Groundwork 17:45 Use Built In AI 20:34 Stop Chasing New Models 22:14 When To Switch Models 25:22 Recap And Farewell ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

  4. Jul 1 ·  Video

    E03: The Cockroach of Interfaces

    Why the Terminal Never Dies: CLI Power, AI Agents, and Practical Guardrails In episode three of Old School New Tech, the hosts, Ran Aroussi and Muximus, argue that the terminal is the “cockroach of interfaces” because it persists structurally, not nostalgically: it is the lowest-level, most direct, composable interface to the machine.  They discuss how power users kept the CLI alive for speed, logs, and file control, and note AI tools followed a similar path from chat demos to APIs and CLIs before polished desktop GUIs. Pipes are explained as chaining command outputs into inputs to build modular workflows, with an example from algorithmic trading where shell pipelines beat heavier tooling for manipulating large CSV market datasets.  They propose non-developers and C-suites should learn basic CLI steps (ls, cd, cat/less, grep, simple pipes) and use an AI assistant in-terminal as a tutor, while stressing risks like lack of guardrails and never running unknown commands (e.g., rm -rf). 00:00 Episode Kickoff 00:41 Terminal Never Dies 01:16 CLI Origins and Comeback 04:49 Why CLI Wins 05:15 Pipes Explained 06:05 Real World Speed Story 08:11 AI Tools Under the Hood 09:59 CLI for Everyone 13:20 Beginner CLI Roadmap 15:36 Power Without Guardrails 17:32 CLI vs GUI Wrap 20:56 Final Thoughts and Outro ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

  5. Jun 24 ·  Video

    E02: The New Org Chart: Embracing a System-Driven Model

    From Org Charts to Pods: Builders, Sellers, Operators, and AI Agents In episode two of Old School New Tech, Ran Aroussi and co-host Muximus debate shifting from traditional org charts to a system-driven “pod” model where early-stage companies primarily need builders and sellers, with classic middle management deferred.  Ran argues that under ~20 people startups should avoid coordination-heavy roles, adding that middle management becomes useful around 20–30 headcount, with a key early exception being an operator/chief-of-staff-style role that bridges build and sell.  They discuss AI agents handling coordination and grunt work, while junior developers function as apprentices learning orchestration, specs, and production debugging rather than syntax, with “learned” experience shrinking faster than “gained” experience. On the sell side, a hybrid pipeline role manages AI-driven prospecting and follow-up while handling calls.  Administrative functions should be outsourced early, later becoming shared resources at the firm level across multiple pods. 00:00 Welcome Back 00:29 Builders And Sellers 02:45 When Management Returns 03:11 Chief Of Staff Operator 04:27 Junior Dev Apprentices 08:08 Learned Vs Gained Experience 10:26 Sales Pod Mirror 13:32 Outsource And Shared Resources 17:10 Is Middle Layer Relocated 20:32 Wrap Up And Takeaways ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

  6. Jun 17 ·  Video

    E01: AI and the Open Source Frontier (Live and Unedited)

    Old School New Tech Returns: Live Format, MUXI Agent Server, and Open Source Licensing Debate The host relaunches his podcast Old School New Tech in a live, no-edit format to reduce production overhead and avoid “talking to himself,” introducing an AI co-host, Muximus, built on his agent infrastructure project MUXI. He explains he paused the podcast for a year while writing the free book "Production Grade Agentic AI" and building MUXI (a production agent server), Cloop (an autonomous engineering control plane), and working for his software agency Automaze.  Discussing MUXI, he argues for treating agents as reusable server primitives rather than repeatedly rebuilding frameworks, and highlights key failure modes: observability/traceability/debuggability and LLM hallucinations, addressed via extensive observability events and SOP-driven verification, with a UI planned. They also debate licensing, explaining Elastic License v2’s SaaS restrictions to prevent hyperscalers from reselling hosted versions, and propose a “fair source”-like category.  Future episodes will feature live debates on shifting from software teams to software systems. 00:00 Podcast Relaunch Intro 01:03 Live Format and Co-Host 01:56 What I've Been Building 03:39 Meet Muximus 04:54 Why Build MUXI 07:01 Failure Modes and Observability 09:12 Screen Share and Request Lifecycle 10:08 Open Source Licensing Debate 17:21 Future Episodes and Sign Off 18:47 Tech Demo 20:50 Full Circle Closing ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

  7. 05/15/2025

    Bridging Traditional Business with AI and Decentralized Identity w/ Sumit Vekariya

    “Every business is different, but communication and networking are key. If you understand how they affect your business and apply the right tools to improve them, you’ll get the best out of tech — no matter your industry.” – Sumit Vekariya In this episode of 'Old School New Tech,' I interview Sumit Vekariya, the founder of ZKred, a company specializing in Web3-based, privacy-preserving, verifiable credentials. The episode explores how Sumit's lean team operates remotely, leveraging various AI tools to enhance productivity. We also delve into the challenges and potential improvements in AI technology, highlighting Sumit's vision for the future of decentralized identity management. You can find Sumit on X/Twitter @Sarkazein7 Chapters 00:00 Welcome to Old School New Tech 00:28 Introducing Automaze: Your Modern Business Partner 01:09 Meet Sumit Vekariya: Innovator in Privacy and Identity 01:37 Exploring ZKREDA: Simplifying Identity Management 03:01 The Future of Verifiable Credentials 05:41 Lean Operations and Smart Tooling 14:02 Balancing Stealth Mode and Growth 14:45 Team Dynamics and Remote Work 16:30 Future Goals and Ambitions 18:35 Final Thoughts and Advice for Founders 20:25 Connect with Sumit Vekariya ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

  8. 05/08/2025

    Scaling Smart with No-Code Tools and AI w/Yuval Keshtcher

    In this episode of Old School New Tech, host Ran Aroussi interviews Yuval Keshtcher, the founder of UXWritingHub.com. Yuval shares his journey from a graphic designer to a tech-enabled entrepreneur, highlighting how he identified a gap in UX writing and built an education platform for designers, writers, and product teams.  The discussion delves into the no-code tools and automations Yuval used to scale UX Writing Hub, including Airtable, Kajabi, ActiveCampaign, and Make.com. Yuval also discusses AI's profound impact on his business operations, dramatically reducing manual tasks and enabling rapid growth.  The episode provides insights into creating a seamless user experience, the importance of content design, and how AI is transforming business operations and user research. Tune in for valuable tips on leveraging modern tools to blend traditional business sense with innovative technology. 00:00 Introduction and Sponsor Message 01:01 Meet Yuval Ke: Founder of UX Writing Hub 01:43 The Evolution of UX Writing Hub 03:40 Understanding UX Copywriting 05:20 Building a No-Code Tech Stack 11:29 Automation and AI in Business 21:07 Future of AI and UX Design 25:17 Conclusion and Contact Information You can find Yuval on LinkedIn at https://linkedin.com/in/yuvalkesh and at https://UXWritingHub.com ----- This podcast is sponsored by Automaze, the fractional CTO partner for founders and operators. Whether you’re building a high-tech MVP or modernizing internal ops with AI and automation, Automaze can help you scale without the overhead of a full-time team. Learn more: automaze.io

About

Old school thinking meets new tech — live, unfiltered podcast, hosted by Ran Aroussi and a co-host you won’t see coming ​Live every episode. No production lag, no editing. Business, AI, tech, startup ideas, and whatever's worth talking about — through the lens of someone who's been building production systems for 35+ years. Join the live podcast (and stick around after for the AMA) at: https://aroussi.com/live