All Episodes

OpenAI Just Bought an AI CFO. Does Sam Altman Have A Plan? | Technologia Talks

OpenAI acquired Hero, an AI personal CFO that runs a company's books for them — weeks after its own CFO dispute. Is this the strategic move everyone says it is, or another sign Sam Altman doesn't have a clear direction for OpenAI? In this short, Tadiwa and Elvis break down the Hero deal, the CFO irony nobody talked about, why some investors are quietly backing Anthropic, and what it means when a company acquires something they could've just used as a tool. For anyone watching the OpenAI vs Anthropic narrative — or trying to read between press-release lines. CHAPTERS: 0:00 - OpenAI Bought an AI CFO 1:15 - Does This Match the Mission? 2:07 - The CFO Dispute They Ignored 3:32 - Why Investors Are Backing Anthropic HOSTS: Tadiwa Mbuwayesango — Co-Host · Founder, LEARN-X Elvis Kimara — Co-Host · Founder, Throwly

The $1,000,000,000 Solo Founder | Technologia Talks

Sam Altman predicted it. One guy is actually doing it — a solo founder who built a billion-dollar company by spotting a GLP-1 arbitrage and letting AI run his branding, ads, and content pipeline. In this short, we break down how it happened, why speed became the unfair advantage, and what it means when AI lets one person ship at the pace big corporations can't match. For anyone who thinks it's "too late" to start something. CHAPTERS: 0:00 - The $1B Solo Founder Is Here 0:42 - The GLP-1 Arbitrage Play 2:32 - AI Cuts Across Every Domain 3:45 - Why It Used to Take Seven Years 4:44 - The Takeaway HOSTS: Tadiwa Mbuwayesango — Co-Host · Founder, LEARN-X Elvis Kimara — Co-Host · Founder, Throwly

$183,000 in Tokens Every Two Months. How Do You Even Compete? | Technologia Talks

Boris Cherny, one of Claude's co-creators, is reportedly burning through $183K in API credits every two months. What does that mean for everyone else writing software in 2026 — does the moat now belong to whoever spends the most on tokens? In this short, we argue that spend ≠ quality: they break down the Git Worktrees parallel-branch trick, why Gary Tan's 50K-newsletter and Jensen's 250K-token claims are less useful than they sound, and why a $20/month Claude seat with good ideas beats $200K of garbage input. For builders and founders convinced they're already priced out of the AI race. CHAPTERS: 0:00 - Boris Cheney Spends $183K on Tokens 1:00 - How Do Devs Even Compete? 2:10 - Git Worktrees: 5 Branches, Pick the Best 3:30 - Why High Tokens Doesn't Mean Quality 4:50 - Why $20/mo Still Wins HOSTS: Tadiwa Mbuwayesango — Co-Host · Founder, LEARN-X Elvis Kimara — Co-Host · Founder, Throwly

Founder Journey: Three Startups, One Hard Lesson | TechNologia Talks

What happens when a co-founder refuses to sign the equity papers, then ghosts the team after a pitch trip? Justin Moran — a CS senior at Iowa State and multi-startup founder — walks us through three companies he's built and the one that died over a missing signature. CHAPTERS: 0:00 - Intro + Meet Justin 3:48 - "AI Is A Calculator, Not An Overlord" 4:16 - The AI Stack: Cursor, Claude, AntiGravity 5:54 - Google's Product Naming Chaos 8:00 - Is Coding Still Worth Learning? 9:26 - How He Picks Which MVP To Build 16:20 - Supper Squad: An App For Food Allergies 17:42 - Pippa: A Pet That Eats When You Eat 25:08 - His Biggest Lesson: Talk To Everyone 30:47 - His Content Stack: Zoom H4N + DaVinci 32:40 - Herdmate: From Hackathon To Cow-Semen Marketplace 36:26 - The Unsigned Equity Nightmare 39:12 - Toronto, The Breakup Text, And Being Ghosted 43:50 - The Future Of Junior Developers 49:58 - Build In Public: His MVP Loop 53:52 - "Just Get Things Done"

Not Mythos. Claude Opus 4.7 Instead. | Technologia Talks

Everyone was waiting for Mythos. Anthropic shipped Opus 4.7 instead — and the benchmarks somehow sit exactly between 4.6 and the Mythos numbers we've seen. Suspicious coincidence, or the most carefully-calibrated model release of the year? In this short, Tadiwa and Elvis unpack what Opus 4.7 actually delivers, why pricing is still painful, the marginal gains over 4.6, and why the quiet design-tool launch just tanked Figma's stock 20%. For anyone tracking Anthropic's release cadence — or trying to decide if this upgrade is worth it. CHAPTERS: 0:00 - Not Mythos — Opus 4.7 Dropped 0:55 - Benchmarks Sit Exactly Between 4.6 and Mythos 2:00 - Marginal Gains, Still Expensive 3:00 - Figma Stock Dropped 20% HOSTS: Tadiwa Mbuwayesango — Co-Host · Founder, LEARN-X Elvis Kimara — Co-Host · Founder, Throwly

Mythos: Too Powerful to Release | Technologia Talks

Anthropic trained a model that found 27-year-old bugs in Linux and FFmpeg — and then said it was too dangerous to release. Is that real safety, or the best marketing stunt of 2026? This week, we break down Project Claude Mythos: what it actually found, why the corporate patch loop can't keep up with it, why benchmarks keep lying about real-world performance, how open source suddenly caught up, and what the Google TPU deal says about Anthropic's next move. For founders, builders, and anyone trying to read between the lines of AI lab press releases. CHAPTERS: 0:00 - Too Dangerous to Release 0:28 - The 27-Year-Old Bugs Mythos Found 3:20 - Marketing Gimmick or Real Threat 4:40 - Why Big Tech Can't Patch Fast Enough 6:35 - The Benchmarks Are Lying to You 10:30 - Why Open Source Just Caught Up 12:35 - Is Claude Secretly Getting Dumber? 14:25 - Anthropic's Google TPU Play 15:55 - The $380B Valuation Shocker HOSTS: Tadiwa Mbuwayesango — Co-Host · Founder, LEARN-X Elvis Kimara — Co-Host · Founder, Throwly

Is AI Making Us Dumber? | TechNologia Talks

Is AI, social media, and short-form content making us dumber or just changing how we think? In this episode, we break down the research showing declining cognitive abilities, the dopamine trap of short-form content, and whether we're actually getting dumber or just becoming more outcome-driven. Plus, why understanding fundamentals still matters in the age of AI. Chapters: 0:00 — AI & Cognitive Decline 2:29 — Short-Form Content & Dopamine 6:39 — Know Your Fundamentals 8:22 — Utilize Your Tools Hosts: Tadiwa Mbuwayesango — Co-Founder, LEARN-X Elvis Kimara — Co-Founder, Throwly

The Rise of Solo Entrepreneurs | TechNologia Talks

AI has made it easier than ever to build and ship products alone. In this episode, Tadiwa and Elvis break down the rise of solo entrepreneurs — from OpenClaw to Karpathy — how AI levels the playing field for both technical and non-technical founders, why VCs like a16z are betting big on solo builders, and the real tradeoffs of going it alone vs. finding a co-founder. Chapters: 0:00 — Rise of Solo Entrepreneurs 2:05 — AI Levels the Playing Field 2:43 — VCs Funding Solo Founders 4:20 — Pros & Cons of Going Solo 6:09 — Personal Brand & Final Thoughts Hosts: Tadiwa Mbuwayesango — Founder, LEARN-X Elvis Kimara — Founder, Throwly

A Guy Used ChatGPT to Cure His Dog's Cancer | TechNologia Talks

A tech guy with zero medical background used ChatGPT and Grok to develop a cancer treatment for his dog — and it worked. He collaborated with a university to validate the protein he generated with AI. Tadiwa and Elvis break down what this means for AI in healthcare, why domain experts are resisting these tools, and why the future is built by unqualified people. Hosts: Tadiwa Mbuwayesango — Co-Founder, LEARN-X Elvis Kimara — Co-Founder, Throwly

AI Regulation, IPOs & Elon's Chip Play — Off the Cuff | TechNologia Talks

Raw unplanned conversation we decided to keep. We break down Elon Musk's plan to build chip manufacturing like TSMC, why Bernie Sanders' proposed AI moratorium would be a disaster, whether OpenAI and Anthropic should IPO, and why Musk can survive public markets but Sam Altman probably can't — yet.

OpenAI vs Anthropic — Who Wins the AI Race? | TechNologia Talks

The AI battle is heating up. In this episode, we break down the fierce competition between OpenAI and Anthropic — how Anthropic's focus on coding proved that programming ability generalizes to everything, why OpenAI shut down Sora, how Codex is improving, and their predictions for who wins in two years. Chapters: 0:00 — The AI Battle Heats Up 1:05 — Anthropic Proves Coding Wins 3:18 — OpenAI Shuts Down Sora 5:08 — Codex Is Getting Good 8:59 — Who Wins in Two Years? Hosts: Tadiwa Mbuwayesango — Founder, LEARN-X Elvis Kimara — Founder, Throwly

How To Get REAL Feedback On Your Startup Idea | TechNologia Talks

Most people will lie to you about your startup idea. Your mom loves you too much, Reddit will ban you for "promoting," and your friends don't want to hurt your feelings. So how do you actually get honest feedback? In this episode, we break down the science of customer discovery — from the DoorDash origin story to getting roasted by strangers in the cafeteria. 🔔 Subscribe for weekly episodes on tech, startups, and AI. CHAPTERS: 0:00 - Intro 0:46 - Why Feedback Matters For Startups 1:33 - The Problem: Nobody Tells You The Truth 2:28 - Don't Ask Your Mom 3:48 - Reddit Will Ban You For Asking 6:03 - The Science of Getting Good Feedback 8:05 - DoorDash: How Customers Revealed The Real Problem 9:10 - Recording Customer Discovery Sessions 9:30 - Building Persona Types 11:48 - The Mum's Test (Book Recommendation) 12:56 - Elvis' Story: Tabling, Logo Tests & Cafeteria Feedback 15:08 - LEARN-X Customer Discovery: Two-Stage Approach 17:38 - Why Founders Resist Negative Feedback 20:08 - Paul Graham's Brutally Honest AI Tool 22:38 - Embrace The Brutal Stuff

Building Outside the US: Startups in Emerging Markets | TechNologia Talks

You don't need Silicon Valley anymore. In this episode, we break down why founders are building in Africa, India, and beyond and why AI is the great equalizer making it possible. We cover the Nigerian drone startup, Terra Industries, that just raised $10M, common misconceptions about emerging markets, why copy-pasting Western solutions doesn't work, and the biggest opportunities right now in drones, agriculture, fintech, and B2B. Plus: how Zipline built in Rwanda before expanding to the US, Africa's massive data gap holding AI back, political risks founders face, and real advice for anyone thinking about building in an emerging market. Timestamps: 0:00 Intro 0:38 Why Builders Are Going Global 5:06 Nigerian Drone Startup Raising $10M 9:09 Stop Copy-Pasting Western Solutions 17:08 Top Opportunities: Drones, Fintech & B2B 25:55 Zipline: Rwanda to the US 28:02 Africa's Data Gap & AI 32:23 Regulation & Political Risks 36:04 Advice for Founders

AI, Startups & The Future of Tech in 2026 | Builders, Virality & What Really Matters

This week on Technologia Talks, we go deep on what's actually happening in tech right now, from connecting builders with startup ideas, to the farm-to-market platform Picked With Pride cutting out middlemen in Africa. We announce the Technologia Builders Network — a community where founders can offshore their ideas to other builders. Plus we review two listener-submitted app ideas: a sports betting platform for Africa with currency hedging, and a campus networking app. In This Week in Tech: Meta's Multibook acquisition, Roy Lee vs TechCrunch on inflated startup numbers, Paul Graham on rage bait culture, Karpathy's Auto Research recursive AI, the Open Claw debate, is it a flop or the future? and Nvidia x Palantir's push into agent autonomy. Timestamps: 0:00 – Intro 0:30 – Connecting Builders With Startups 0:45 – Picked With Pride: Farm-to-Market Platform 2:08 – Cutting Out the Middleman in Africa 4:00 – Welcome to Technologia Talks 4:45 – Founding Trolley: Agentic Bartering Platform 5:19 – Building Solutions and Giving Back 7:00 – Using AI for Good Before the Bad Actors 7:59 – Why Offshore Ideas to Other Founders 10:07 – Technologia Builders Network Launch 14:00 – Sports Betting App for Africa 15:30 – Hedging Bets Across Currency Markets 17:20 – Tinder for Campus: Networking Hub App 20:20 – This Week in Tech: Multibook x Zuckerberg 23:40 – Roy Lee vs TechCrunch: Inflated Numbers 27:00 – Virality vs Authenticity in Startups 31:00 – Paul Graham on Rage Bait Culture 34:53 – Karpathy's Auto Research: Recursive AI 38:40 – Open Claw Content Creators vs Real Builders 43:12 – Is Open Claw a Flop? 46:40 – Nvidia x Palantir and Agent Autonomy 48:20 – Open Claw Founder Joins OpenAI

Game of Thrones Debate: Was Daenerys Right? | Technologia Talks Special

It's our one month anniversary — so we're doing something different. We go head-to-head on the most controversial moments in Game of Thrones. Was Daenerys a hero who lost everything or a villain who chose fire? Did Tyrion's bad advice cost her the throne? And does sexism play a role in how fans judge the Mother of Dragons? We break down the Battle of Winterfell, Missandei's final word, the burning of King's Landing, the Tarly execution, and whether morality even applies to fictional characters. Plus a teaser on Rhaenyra and what true leadership looks like in House of the Dragon. Chapters 0:00 – Cold Open: Valyrian Language Fun 0:18 – Welcome To Technologia Talks 0:40 – One Month Anniversary: Special Episode 1:10 – Favourite Characters: Daenerys vs Tyrion 1:49 – Daenerys: Hero Or Villain? 2:32 – The Battle Of Winterfell: Who Deserves Credit? 3:14 – Daenerys Losing Everyone She Loved 4:18 – Missandei's Last Word: Dracarys 5:17 – Does Tragedy Justify Burning King's Landing? 6:09 – The Bells: She Heard Them And Kept Firing 7:00 – Fictional Characters: Does Morality Apply? 8:07 – Sexism In How Fans Judge Daenerys 8:40 – Tyrion's Bad Battle Plans Cost Everything 9:58 – Tyrion's Slavery Negotiation: Smart Or Stupid? 11:28 – Daenerys Burning The Tarlys: Setting A Precedent 13:30 – The Logistics Of Mass Imprisonment 15:01 – Rhaenyra Teaser: True Leadership 15:36 – Thank You And What's Coming Next Disclaimer: Some footage and images used in this video belong to their respective owners (HBO / Warner Bros. Discovery). This content is used under fair use for commentary, criticism, and educational purposes. No copyright infringement is intended.

Is SaaS Dead? | How AI & Vibe-Coding Are Killing the Software Business Model

SaaS built the internet we know — but is the subscription model about to collapse? In this episode, we break down what happens when anyone can vibe-code their own tools, why 99.7% of App Store apps earn under $100, and how AI is shrinking the moat that made software companies billions. They cover the Claude Code stat (4% of all GitHub commits), the AI app slop epidemic flooding the market, why mid-tier SaaS is most at risk, and where the real opportunity lies — niche industries that haven't been touched by tech yet. Plus: agentic marketplaces, why ads are coming to ChatGPT, and the rise of AEO (Agentic Engine Optimization) as the new SEO. Chapters: 0:00 – Intro 0:31 – Welcome & Host Introductions 1:28 – Today's Topic: Is SaaS Still Going to Survive? 2:39 – Stats: 4% of GitHub Commits Written by Claude Code 4:01 – Could AI Write 26% of All Code by 2026? 6:09 – How Claude Code Tracks Its Own Commits 6:37 – 90% of Engineers Now Using AI 6:40 – Only 0.3% of App Store Apps Earn Over $100 7:31 – The AI App Slop Epidemic 9:09 – Building Isn't the Problem — Go-To-Market Is 11:31 – SaaS Isn't Dead — It's Shrunk for Big Tech 13:11 – Switching Costs Protect Big SaaS 13:31 – Mid & Low-Tier SaaS Most at Risk 15:07 – Small Businesses Can Now Vibe-Code Their Own Tools 17:59 – New Alpha: Niche SaaS for Non-Technical Industries 18:59 – The Arbitrage Window: 2–5 Years Before Gen Z Takes Over 20:03 – Agentic SaaS Marketplaces — The Next Wave? 21:10 – If Every App Becomes an API, Does Premium SaaS Die? 22:27 – Ads Coming to ChatGPT 24:27 – AEO: Agentic Engine Optimization Replaces SEO 26:11 – Closing Thoughts & Call to Action

Are Software Engineers Cooked? Pt. 2 | Autonomous Agents, The 30% Rule & What Skills Actually Matter

Software engineers thought the AI wave would pass. It didn't. In Part 2, we go deeper, breaking down how autonomous agent loops are already handling CI/CD, why SWE roles are shifting from coding to QA and verification, and what the "30% Rule" means for who stays employed. We also get into the two most bullish areas in tech right now, why human accountability is the one thing AI can never replace, and the exact playbook for engineers who want to stay ahead — pivoting, joining startups, and building with equity. If you're a software engineer/in Computer Science trying to figure out your next move, this one's for you. Chapters 0:00 – Intro 1:19 – Recap: Who Is Cooked in Tech & Why We're Back 2:07 – The Optimistic Take — Is SWE Actually the Last Job to Go? 3:27 – Claude & OpenAI Agent Loops — The Next Level of Automation 4:43 – Claude Code Loop: Agents Handling CI/CD Without You 5:27 – SWE Roles Shifting from Coding to QA & Verification 6:19 – Autonomous Agents Working for Days Without Human Input 7:35 – Software Engineers Pivoting to GTM, Marketing & Consulting 8:59 – Fewer SWE Roles, Higher Competition — The New Reality 10:03 – The 30% Rule: Only the Top Tier Will Stay Employed 11:51 – What Skills Actually Matter Now: Architecture & Business 12:27 – Two Bullish Areas: HCI & Human Trust in AI Systems 13:35 – Why Humans Stay Relevant — Accountability Agents Can't Have 14:55 – Connection & Taste — The Last Human Competitive Advantages 17:11 – Historical Precedent: 10-Year Tech Adoption Cycles vs AI 18:27 – Trust Barriers Slowing Agent Adoption — But Not for Long 19:19 – Only 0.3% of Humans Directly Pay for AI — We're Very Early 20:43 – The Playbook: Pivot, Join Startups, Build with Equity 21:43 – AI Research Roles — The Best Position to Be In Right Now 22:51 – Apply AI in Your Field Before Your Competition Does

Are Software Engineers Cooked?

Is software engineering dead? With AI coding tools like Cursor, Claude Code, and other AI copilots improving rapidly, many people are asking whether software engineers are becoming obsolete. In this episode, we break down exactly who is cooked and who isn’t in the age of AI. From CS students and junior developers to product managers and startup engineers, we analyze how artificial intelligence is changing the future of software engineering. We also explain the famous “pizza analogy” for AI-generated software and what it means for the future of programming careers. If you're studying computer science, working in tech, or thinking about becoming a developer, this episode will change how you think about the industry. CHAPTERS 0:00 Intro 2:01 How We Got Here — "Software Engineers Are Cooked" 2:45 AI Coding Tools Taking Over (Cursor, Claude Code & More) 5:36 The Pizza Analogy — Custom Software on Demand 6:25 Is Software Engineering Actually Dead? 7:02 Cloudflare Rewrote Next.js in One Week 9:17 THE COOKED LIST BEGINS 10:12 CS Students Who Hate Coding 11:04 AI Denialists With 20+ Years Experience 12:12 People Clueless About AI News 13:13 People Who Think They're Safe — Nobody Is 14:23 Are CS Freshmen Cooked? 17:00 Should CS Students Drop Out? 19:15 Psychology & Other Majors Post-AI 22:56 Grad School Without Thinking About AI 23:38 Product Managers Who Refuse to Code 27:10 No Social Skills in Tech? First to Go 32:55 Working at Undifferentiated Startups 36:47 A $600 Computer Won't Cut It 41:31 THE NOT COOKED LIST 42:03 Engineers Who Talk to Non-Tech People 42:42 CS Majors With Social Skills & Personal Brand 44:55 Taste Is the Next Big Competitive Advantage 45:32 Understanding the Product, Not Just the Code 46:41 If You're Watching This, You're Not Cooked CONNECT YouTube: @Technologiaah Instagram & TikTok: @technologiaah1 Website: technologiaah.com Email: technologiaah1@gmail.com

Founder Journey: AI accelerating startup building

In this episode of @TechnolgiaTalks, we sit down with Asray Gopa, founder of the Brick, to discuss how AI is dramatically accelerating the way startups are built. From building projects faster with modern AI tools to the future of prediction markets, startup storytelling, and the evolving role of founders, this conversation explores how the next generation of builders is approaching entrepreneurship. We also dive into why competitions are really about storytelling, how AI is changing product development cycles, and why the barrier to building companies has never been lower. If you’re interested in startups, AI, entrepreneurship, and the future of building companies, this episode is for you. Chapters 00:00 Introduction – Technologia Talks 00:47 Meet the Hosts 01:32 Introducing Asray Gopa 04:30 Why He Chose Computer Science 06:00 Is AI Killing Software Engineering? 07:18 Why Iowa State? 10:12 Working at Principal Financial 12:00 Projects & Hackathons 16:10 Startup Advice: Customer Discovery 17:30 The Story Behind Brick 20:05 Naming "The Brick” 22:25 Pitch Competitions & Startup Ecosystem 26:30 Hardware vs Software Startups 27:30 AI Agents & Open Source Businesses 31:00 AI Tools for Coding (Cursor, Claude, etc.) 33:00 AI vs Bloomberg Terminals 35:10 Reviving the Algorithmic Trading Club 39:00 Algorithmic Trading Explained 41:20 Prediction Markets (Polymarket & Kalshi) 43:00 Entrepreneurship Awards & Hackathons 47:00 Why Y Combinator Might Be Declining 49:00 How to Win Startup Competitions 52:00 Technical Founders vs Storytelling

The impact of AI on the Economy Ep. 2 | Will AI Kill Your Job or 10X Your Income?

The AI economy isn't coming — it's already here. In Part 2, we go deeper on who wins and who gets left behind in a world where AI is reshaping jobs, markets, and entire industries. From mass layoffs to 10X revenue claims, AGI timelines to algorithmic trading. 0:00 Intro 2:04 AI & The Economy: What's Changed? 3:32 Should AI Be Taxed? 5:00 AI in Politics 6:24 Career Pivots Forced by Automation 7:16 Has AI Improvement Plateaued? 7:48 Defining AGI 11:21 Government, Intel & AI Policy 13:21 The 10X Revenue Debate 15:38 AI in Financial Modelling 20:41 Decentralised Finance 27:57 Algorithmic Trading & AI Agents 40:41 Will AI Create or Kill Software Jobs? 53:33 Fortune 500 Reshuffled 58:09 OpenAI & Anthropic IPOs 1:22:49 Generalist vs Specialist in the AI Era 1:24:49 Language: The New Tech Superpower Connect with us... YouTube: @Technologiaah Instagram & TikTok: @technologiaah1 Website: technologiaah.com Email: technologiaah1@gmail.com

Founder Journey: How to bootstrap a startup!

Founder Journey: Getting into Y-Combinator

Today's Special Guest Avnish Poonia breaks down his experience applying to Y Combinator. We discuss challenges applying as a Midwesterner, share tips on how to get connected with investors, pass interviews, and get accepted into YC, plus how to start a billion dollar company! We all share our experiences as founders applying to YC, and what we learned from applying in previous batches. Lots of wisdom to help you when applying for YC Summer 2026 Batch, thanks for tuning in!

The impact of AI on the Economy

A deep dive into how employment and the economy overall will look like in the AI-Economy. We discuss on aspects like the likelihood of a Universal Basic Income (UBI), allocation of current resources and what employment will look like in the future.

Deep Dive into AI: Moltbook

In today's podcast, we break down the most recent trend in Artificial Intelligence: Moltbook and OpenClaw. We discuss if its hype or scam, some futuristic use cases, if it is AGI, and what early adopters can do to take advantage of this unique opportunity. We also break down some bad use cases like how moltbook got hacked.. 0:00 Introduction 1:26 Introducing Clawbot 2:56 Exciting Features of Clawdbot 3:31 Introducing Moltbook 4:31 Why do you think Moltbook is a scam 5:52 Explain Data Leaks 7:45 Why Clawdbot is AGI 8:55 How to fix insecurities in Vibe coded Apps 12:16 Ideas for Clawdbot 15:16 Why Clawdbot is AGI 18:00 Some bad Clawd Ideas 18:36 Regulation & Agentic Police 21:14 What you do think of AI hiring humans 22:36 Liability Risk for Enterprises 23:27 Key Take Aways Thanks for tuning in.

How we came up with the name Technologiah Talks!

The hunt for a podcast name comes to an end! In this short episode we unveil our name, and discuss how we got it! We also talk about the options we had, and why we eventually picked Technologiah Talks. Fun episode, excited to keep the momentum going!!

From Students to Builders: AI, Startups, Moltbook and What’s Coming Next

Welcome to the first episode of Technologia Talks. We’re students, builders, and founders navigating the fast-moving world of AI and technology while actively building in it. In this episode, we introduce ourselves, talk about why we started this podcast, what we’re working on, and what this channel is about. We discuss AI trends, tools like ClowdBot, emerging tech like Moltbook, the pace of innovation, and how we balance student life with startups and building. If you want real conversations about AI, startups, and the future of technology without the hype, you’re in the right place.