Dr. Niklas: Venture Grade

About Dr. Niklas: Venture Grade

Welcome to Dr. Niklas: Venture Grade - the intersection of deep tech and high-stakes business. I’m Dr. Niklas, an engineer, founder, and researcher. I look at business and technology through the lens of a builder: how do you architect a company that is robust, scalable, and "Venture Grade"? On this channel, I move beyond surface-level startup advice. I sit down with world-class founders, investors, and technical leaders to debug their strategies and examine the source code of their success. What is "Venture Grade"? It’s a standard. Just like military-grade hardware or enterprise-grade software, a Venture Grade business is built to survive, scale, and secure investment. New episodes ship every Tuesday. Subscribe for weekly deep dives with people building the future 🚀☘️

Publisher

Niklas

Category

business · technology

Language

en

Explicit

No

First episode

30 Jan 2026

Latest episode

20 Oct 2026

Latest episodes

36 episodes in the feed.

1. 

   20 Oct 2026

   DN #35: Taiwan to SF, Hackathons Everywhere & Getting Caught by Anthropic (w/ Sean Chiu)

   "I bought the $200 plan and put it on OpenClaw, which was not allowed at the time. Anthropic found out. The funny thing is, they actually refunded the money." I talk to Sean Chiu, a builder who moved from Taiwan to the US two years ago and landed in the middle of San Francisco's hackathon scene. Today he works on BuilderBase, bringing SF-style hackathons to London, Paris, Berlin, New York, and back home to Taipei. We get into what makes SF different (ten events a day on Luma), the context problem that AI still hasn't solved, why his event-matching side project stayed a side project, the OpenClaw story that got him caught by Anthropic, whether a new generation of classifier models could be the next step after LLMs, and whether founders abroad should still buy the plane ticket. In this episode: - Taiwan to SF: Three high schools in four years, then the Bay, where "everything popped off." - 10 Events a Day: Why talent density in SF is a number you can see on Luma. - Context Is Still Unsolved: LinkedIn and WhatsApp can't talk to your agents, and we're back to copy-pasting. - The $200 Plan Story: Running Claude through OpenClaw, getting caught, and getting refunded. - Beyond LLMs: Classifier-style models, why transformers really won, and why nobody spots the ChatGPT moment in advance. - Hackathons as Community: Building with someone for a day beats scanning their LinkedIn QR code. - Is SF Worth the Ticket?: When to fly in, when to stay home, and why friends beat transactions. - 30 Days Into AI: Skip the textbook, start with what you already care about. 🎧 Full episode on all podcast platforms 💬 Is San Francisco still worth the plane ticket for founders outside the US? Let us know in the comments! 🔔 Please like and subscribe! Every subscriber helps our channel grow. #DN #SanFrancisco #Hackathons #BuilderBase #SeanChiu #OpenClaw #AIAgents #BuildInPublic #Community #Startups Timestamps: 0:00 Intro 0:17 From Taiwan to LA to the Bay 1:00 What makes SF different: 10 events a day 2:24 Too many GitHub projects, and learning to focus 4:06 What's still hard: context across your apps 5:07 Voice in, text out: my ideal AI workflow 6:29 Matching people before the event 8:21 Why it stayed a side project 9:17 The $200 Claude plan, OpenClaw, and the refund 11:25 What OpenClaw was actually good for 13:09 Harnesses and the next breakthrough 13:59 Why transformers really won 16:41 Nobody sees the ChatGPT moment coming 18:34 BuilderBase: SF-style hackathons for every city 22:11 Is SF worth the plane ticket? 24:01 Make friends, not transactions 25:09 GetMinds, synthetic personas, and AI in biotech 28:48 30 days to get into AI

2. 

   13 Oct 2026

   DN Briefing #1: Character AI Goes Bust, Oura Pulls IPO & Airtable's 55x vs 1x (w/ Martin Tobias)

   "The only people that made a lot of money were the people who wrote the seed check. They made 55 times their money. The last three rounds got 1X." The first DN Briefing: every four weeks, Martin Tobias (Incisive Ventures) and I take the biggest stories in startups, tech, and venture and ask what they actually mean for founders and early-stage investors. This time: Character AI goes bankrupt, Oura pulls its IPO on pricing day, SpaceX buys Cursor with public stock, Bending Spoons turns Airtable into instant market cap, and Anthropic offers its biggest-ever discount on prepaid credits ahead of an IPO. In this episode: - Character AI: Vibes, consumer, and a thin wrapper. Why Martin called zero from day one. - Oura's Pulled IPO: When 63% of the offering is insiders selling, public buyers become bag holders. - SpaceX's Public Currency: All-primary IPO, a tiny float, and Cursor bought with stock. - The Bending Spoons Arbitrage: Buy at 2.5-3x revenue, get valued at 8x. Will it last? - Airtable's 55x vs 1x: Late-stage private marks meet public market reality. - Exits at Every Scale: Roll-ups, PE, IPOs, and dead startups selling their GitHub repos as training data. - Anthropic's IPO: Prepaid credits, stacked books, and a compute-constrained world. - Where the Moats Are Now: Vertical B2B software, and the $4.5 trillion of labor that SaaS can finally reach. 🎧 Full episode on all podcast platforms 💬 Would you buy into an IPO where most of the money goes to early investors? Let us know in the comments! 🔔 Please like and subscribe! Every subscriber helps our channel grow. #DN #DNBriefing #VentureCapital #MartinTobias #IncisiveVentures #IPO #Anthropic #SpaceX #BendingSpoons #Startups Timestamps: 0:00 Seed got 55x, late rounds got 1x 0:19 Intro 0:40 Character AI files for bankruptcy 4:06 Oura pulls its IPO 9:19 SpaceX, public currency, and the Cursor deal 12:15 The Bending Spoons playbook 12:59 Private marks vs public reality: the Airtable exit 16:24 Invest early, invest long, solve a real problem 18:35 Can the roll-up premium last? 22:22 Exits at every scale, even for failed startups 25:50 Will Anthropic go public this year? 28:48 Compute constraints and the trillion-dollar capex 30:33 Elon, the fastest data center builder 31:25 Dario, job loss, and AI politics 36:28 Which moats remain in the age of AI 37:23 Why vertical B2B software, from Replit to Claude Code

3. 

   6 Oct 2026

   DN #34: A Digital Brain, Privacy-First Memory & 1,000 Reddit Downloads (w/ Ahmet & Ömer Delibaş)

   "Your data has always been used for ads, for big data, for selling to other companies. And the user benefits the least. It doesn't have to be like that." I talk to Ahmet and Ömer Delibaş, two brothers building Klara, a "digital brain" for Android that captures everything you do on your phone, organizes it, and gives it back to you as searchable memory, habits, and a daily digest. One brother is a software engineer who spent years watching user data flow to ad networks and data centers. The other is a dentist who builds on the side. Together they spent four years turning an idea into a product. We get into the privacy model that most AI apps won't touch (fully local if you want, anonymized and deleted after five days if you turn AI on), how a chaotic accessibility feed becomes a clean memory database, the ADHD users who showed up unplanned, and the Reddit playbook that got them 1,000 pre-registrations before launch and 1,000 downloads in week one. In this episode: - Your Digital Brain: What Klara captures, what it throws away, and why your biological brain is the model. - Users Benefit the Least: The founding thesis, and why the AI wave made it buildable. - Five-Day Deletion: Local-only mode, anonymized AI calls, and leaving nothing behind when a user quits. - The ADHD Surprise: Users the founders never planned for, and "fall in love with the users, not the product." - 2K MAU, 10% MoM, Zero Ads: Why they refuse to buy growth before the product deserves it. - The Reddit Playbook: 1,000 pre-registrations in one month, 1,000 downloads in week one, and posting about more than Klara. - Great Product, Terrible Business: My Wunderjob lesson on churn, and why subscriptions beat ads for privacy products. - Focus on Hard Things: Why everyone builds AI agents, why memory is harder, and why distribution still beats product. 🎧 Full episode on all podcast platforms 💬 Would you let an app record everything on your phone if it deleted it after five days? Let us know in the comments! 🔔 Please like and subscribe! Every subscriber helps our channel grow. #DN #DigitalBrain #Klara #PrivacyFirst #AIMemory #AndroidApp #BuildInPublic #Reddit #IndieHackers #Startups Timestamps: 0:00 Intro 0:10 What Clara is: your digital brain 1:06 The engineer's path: years of watching user data go the wrong way 3:30 The dentist who builds: why two brothers started a company 4:41 Android first, other platforms later 5:17 The privacy model: local-only, anonymized, deleted in five days 9:28 How memory works: turning accessibility chaos into a database 13:14 Text only for now, and where AI devices are heading 13:51 The ADHD users nobody planned for 15:55 Building in public: X, Reddit, Telegram, in-app surveys 17:12 Wunderjob: a great product that was a terrible business 18:54 2K monthly active users, 10% growth, no ads yet 20:25 Subscription vs ads, and why big companies didn't start with ads 22:41 The Reddit playbook: 1,000 pre-registrations before launch 26:04 Advice for two-person teams: ship, distribute, focus on hard things

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Spotify

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