VC & Angel Investor 

Founder of Product Market Fit Newsletter and the AI Opportunity: 2 tech publications with + 100K subscribers & +1M monthly reads.

BREAKING: Amazon just basically told employees: “Show me what you produced last year, in 3–5 bullets, or you don’t exist.”

Amazong just made it a formal requirement in performance reviews: list 3–5 specific accomplishments, with examples of what you delivered and how you’ll keep leveling up.

This is Andy Jassy’s culture shift in one move:

Less “I’m valuable.”
More “Here’s what shipped. Here’s the impact. Here’s the proof.”

Why this matters (even if you don’t work at Amazon)
	1.	The era of “busy” is dead
Your calendar isn’t your contribution. Your output is.
	2.	Storytelling is now a performance skill
If you can’t explain impact, you’ll get outcompeted by someone who can.
	
3.	Big Tech is getting harsher, not softer
Amazon is making accountability explicit, and others are trending the same way.

Is the era of Big Tech changing?

Keep up with AI: https://lnkd.in/dyG3j2N3

Guillermo Flor

Angel Investor | Founder Product Market Fit

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BREAKING: ElevenLabs CEO says Voice Models are becoming commodities 💔  

The focus is shifting to the Application Layer.

ElevenLabs (now valued at $6.6 Billion) was founded to fix bad movie dubbing. They succeeded, but their CEO just made a definitive statement on the future. 

Generating high-quality audio is no longer the endgame.

Matty Staniszewski confirms that core voice models will be commoditized quickly. The technical gap is closing. Winning with models alone is temporary.

For founders, the message is clear. The defensible layer is moving to the Application Layer.

The real challenge today involves deploying AI that works reliably inside real, complex systems.

The future of ElevenLabs goes beyond voice. It is the infrastructure required to make AI agents functional:

- Orchestration: Linking models to existing data like Salesforce or Google
- Integrations: Making AI work across dynamic information
- Reliability: Evaluation, monitoring, and safeguards to ensure enterprise-grade deployment

As the model layer levels out, the companies that win will master the workflow, the infrastructure, and the distribution.

What do you think will be the best strategy?

Learn more about AI: https://lnkd.in/dyG3j2N3

𝐓𝐡𝐞 27 𝐌𝐨𝐬𝐭 𝐏𝐫𝐨𝐦𝐢𝐬𝐢𝐧𝐠 𝐀𝐈 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐏𝐢𝐭𝐜𝐡 𝐃𝐞𝐜𝐤𝐬 🥇

I compiled 27 AI startups that raised capital from top investors in 2025. Some are already unicorns. Others are just getting started but have massive potential 🔥 

These decks include:
 • Perplexity, ElevenLabs, Mistral, Humane
 • Hedra, Synthesia, Moises
 • Octave, Artisan, Gradient Labs, Nexad
 • Profound, Omnia, Artificial Societies
 • Heidi Health, Charta Health, Axle, Doctronic
 • Paramark, Goodwork and more

I think this is super valuable because: 
1. You get to study how the smartest AI founders frame a problem, present a vision and pitch a fundable story. 
2. You also see the business ideas top investors like a16z, Sequoia, Greylock, Bain and Point72 are actually backing. 
3. Perfect to improve your own deck and understand what VCs say yes to right now.

Comment "Decks" below and I’ll send you the link 👇

🚨 BREAKING: OpenAI just launched the ChatGPT App Store.

This is the moment we’ve been waiting for.

Since GPTs were first announced, the idea was simple but powerful:
→ What if you could build apps inside the conversation?

Today, that vision becomes real.

🧠 ChatGPT apps now support:
• Contextual actions (e.g. order groceries, create slides)
• @ mentions and tool menu triggers
• Deep links to app pages
• Full app directory on chatgpt.com/apps

👨‍💻 For developers:
• Submit your app for review & get listed
• Use the new SDK for native chat UI
• Link to external sites for transactions (digital goods coming soon)
• Tap into OpenAI’s discovery engine (context-aware app suggestions!)

💥 This is the next shift in the internet.

Just like the iOS App Store unlocked mobile,
ChatGPT Apps will unlock a new category: AI-native software.

AI is no longer just answering questions —
It’s doing things.

We’re entering a world where:
• Apps are conversations
• Interfaces are language
• Your idea → execution is just one message away

If you’re a builder, now’s the time to ship.
If you’re a founder, this platform could be your unfair advantage.
If you’re a user… things are about to get way more useful.

Let’s go 🔥
Learn about AI: https://lnkd.in/dyG3j2N3

YC just laid out the 7 most powerful moats for AI startup 👇 

Here’s the founder-friendly version you should have in your head before you ship your next feature:

0) The moat before all moats: SPEED
 In the beginning you don’t need a moat. You need to move faster than anyone else can.
Cursor-style: short sprints, ship daily, learn in public.

1) Process Power
 The “boring” 10% that takes 90% of the work.
 Evals, monitoring, recovery flows, compliance, edge cases.
 If it’s mission-critical and you make it production-grade, it becomes hard to copy.

2) Cornered Resource
 Something others can’t easily get: proprietary data, relationships, distribution, regulatory access, domain embedding.
 Not “we fine-tuned a model.”
 More like “we own the workflow and the labels of what good looks like.”

3) Switching Costs
 AI will lower old switching costs (agents can migrate data).
 But it raises new ones when your agent becomes the customer’s operating system (custom logic + integrations + trust built over months).

4) Counter-Positioning
 Do what incumbents can’t afford to do.
 Example: per-seat SaaS vs task-based pricing (AI reduces seats, which kills their revenue model).
 Or second movers winning by focusing on the application layer and shipping a better product.

5) Brand
 When customers pick you even at parity.
 “ChatGPT” became the verb. That’s not a feature. That’s compounding advantage.

6) Network Effects (AI-style)
 Usage → data → better evals/models → better product → more usage.
 Not “social graph.”
 More like “feedback loops that competitors can’t replicate without your volume.”

7) Scale Economies
 Pay big fixed costs once (infra, data, integrations, compliance) and amortize across many customers.

The YC punchline:
Don’t use “moats” to talk yourself out of starting.

Pre-product, you have nothing to defend. Find a hair-on-fire pain, ship fast, then deliberately deepen 1–2 moats.

Here's my full breakdown guide to help you build: https://lnkd.in/gVxGmu2x

I interviewed the founder of Creandum, investor in Spotify, Klarna, Lovable, Trade Republic. 1 in 6 of its companies is a unicorn.  Here’s his $2B fund blueprint (DETAILED):

1. The real difference between a Founder & an Investor 👇 
https://lnkd.in/gbqDtXsJ

2. How to start a successful fund:
https://lnkd.in/gPYRqVff

3. Why everybody says Venture Capital is broken:
https://lnkd.in/gXdAEuXp

4. How to win:
https://lnkd.in/gvvdadvd

5. How Creandum's Fredrik Cassel invested in Lovable before most: 
https://lnkd.in/gRt5rg5X

6. How to find the best founders in the world before every VC: 
https://lnkd.in/gyX4fTui

7. How to hack VC:
https://lnkd.in/gHmnNeUe

8. What questions do elite investors ask before writing a check?
https://lnkd.in/gPQ-ccpz

9. The value Creandum offers to founders:
https://lnkd.in/g7Zw2_ka

10. How to Make Europe Great Again:
https://lnkd.in/gkua-Y_u

11. How to build a $6B international fund from Stockholm:
https://lnkd.in/gXREmhNX

12. How Staffan built Creandum step by step: 
https://lnkd.in/gYwY8vpc

13. The 4 types of Venture Capital: 
https://lnkd.in/gzExRnHT

You found this valuable? Repost it, save it & get to work 🔥

Full interview: https://lnkd.in/gXsuugAY

Shoutout to Rubén Domínguez Ibar who I did the interview with 🚀

𝐓𝐡𝐞 𝐅𝐚𝐦𝐢𝐥𝐲 𝐎𝐟𝐟𝐢𝐜𝐞 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫 𝐋𝐢𝐬𝐭 💸 

Everyone talks about VCs and angels, but family offices are a hidden gem. 

They’re not bound by the same rules, so they can invest for the long haul, support niche ideas, and actually grow with you instead of just cutting a check and disappearing.

I’ve put together a list of 1,000 family offices investing in startups worldwide. 

You’ll find:
- 𝐍𝐚𝐦𝐞𝐬 & 𝐒𝐭𝐚𝐠𝐞𝐬 (Pre-seed, Seed, Series A...)
- 𝐑𝐞𝐠𝐢𝐨𝐧𝐬 & 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧𝐬
- 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 𝐏𝐫𝐨𝐟𝐢𝐥𝐞𝐬 (so you can connec!)
- 𝐍𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬 & 𝐖𝐞𝐛𝐬𝐢𝐭𝐞𝐬
 

Comment “Family Office” below and I’ll send you the link 👇

Venture Capital Investor at Gohub Ventures, an early stage SaaS B2B Venture capital fund investing in great companies all over Europe & USA. 

I'm very passionate about value creation at scale, high growth strategies and SaaS products that allow companies to acquire customers and transact.

Before joining Gohub Ventures, I've built a SaaS startup,  worked as a strategy consultant at Accenture Strategy and graduated from an MBA at IE Business School.

On my free time, I write about Startups and Venture Capital for more than 6k founders, investors and product managers on my newsletter Product Market Fit.

Sadid Bin Hasan

2025 was crazy. I interviewed several billionaires, unicorn founders, top VCs in the world & angel invested in 41 companies 👇 

Thanks for the interviews:
Mark Cuban
Daniel Lubetzky
Barbara Corcoran
Robert Herjavec
Spenser Skates, founder & CEO of Amplitude
Chris Best, founder & CEO of Substack
John C. Santora, CEO of WeWork
Victor Riparbelli, founder & CEO of Synthesia
Anish Acharya, partner of A16Z
Martin Mignot, partner of Index Ventures
Anna Piñol, partner of NFX
Staffan Helgesson, founder of Creandum
Qasar Younis, founder of Applied Intuition
Gorkem Yurtseven founder of Fal AI
Adeyemi Ajao founder of Base10 Partners

Thanks for the founders I was able to angel invest in:
𝗛𝗮𝗽𝗽𝘆𝗿𝗼𝗯𝗼𝘁 x Pablo Palafox, Javier Palafox & Luis Paarup
𝗣𝗮𝗹𝗹𝘆  x Haz Hubble & Wyatt Landsford
𝗧𝗵𝗿𝗼𝘅𝘆 x Arnau Ayerbe, Bergen Merey and Pablo Jimenez de Parga
𝗧𝗵𝗿𝗼𝘅𝘆 x Kevin Jiang & Nelson Lai
𝗖𝘂𝗯𝗶𝗰 x Paul Sanglé-Ferrière
𝗡𝗼𝘇𝗼𝗺𝗶𝗼 x Arlan Rakhmetzhanov
𝗤𝗙𝗘𝗫 x Annanay Kapila & Joshua Wharton
𝗠𝗶𝗻𝗲𝗿𝘃𝗮 x Peter Zhu & Om Agarwal
𝗡𝗼𝘃𝗼𝗳𝗹𝗼𝘄 X Mathieu Rihet & Georges Casassovici
𝗬𝗼𝘂𝗦𝗵𝗶𝗳𝘁 x Lucía Vives Martorell, Jota Chamorro & Adolfo Roquero Gimenez
𝗞𝗹𝗮𝘃𝗶𝘀 𝗔𝗜 x Zihao Lin & Xiangkai Zeng
𝗖𝗹𝗼𝘃𝗮 x William Wang & Ryan Bailey
𝗖𝘂𝗮 x Francesco Bonacci
𝗙𝗹𝗮𝗶 x Ari Polakof, Juan Alzugaray & Alen Polakof
Veritus Agent x Joshua March, David Schlesinger & Joseph Stein
Keystone x Pablo Hansen
Orange Slice x Vihaar Nandigala & Kishan Sripada
Hera x Peter Tribelhorn & Chia-Lun Wu
Floot x Yujian Yao & Edward Look
Slashy x Pranjali Awasthi, Harsha Gaddipati & Dhruv Roongta
April x Neha Suresh & Akash Thakur
Omnia x Daniel Espejo
Etn x Ronan Chambers & Luke Knight
Hyperspell x Conor Brennan -Burke
Imagine AI x Sky Yang & Neo Lee
Selfin x Paula Gutierrez & Joel Tomas Pimentel
Karumi x Toni Lopez & Pablo Omenaca Muro
Sellraze x Jeff Mao & Tyler Ma
Zalos x William Fairbairn & Hung hoang
Openroll x Mattias Lindell & Porserv Aslan
Fernstone x Luke Button, James Chen & Bryant Le
Getasap Asia x Raghav Arora & Pranavkrisha Suresh
Peec AI x Marius Meiners & Daniel Drabo
Replit (Series E) x Haya Odeh, Faris Masad & Amjad Masad
Momentic x Wei-Wei Wu
Agaton
Stealth (AI Code Generator)
Stealth (Voice AI Customer Support)
Stealth

2026, here we go 🔥

Top 10 fundraising resources for startup founders (MERRY CHRISTMAS):


1. 70 Pitch Decks That Raised Over $1 Billion in 2024 📈💰: https://lnkd.in/dKKZASXM

2. 27 Most Promising AI Startup Pitch Decks:
https://lnkd.in/gGijna9n

3. The Data Room Template VCs love: https://lnkd.in/d9SRw3jj

4. The Family Office List: https://lnkd.in/dyCUa3Dd

5. The Angel Investor List: https://lnkd.in/dQpQCkvq

6. How to Raise Venture Capital in 2025 from tier 1 VCs:https://lnkd.in/dfWa_HKH

 7. Creandum fundraising Toolbox, from Seed to Series A: https://lnkd.in/dZSp8XRA

8. The Sequoia Fundraising Pack: https://lnkd.in/du7ShPUy

9.The Complete Startup Equity Guide: https://lnkd.in/dSCjrrck

10. The Khosla Ventures Fundraising Pack: https://lnkd.in/dFu3cpqY


Save for when you are raising & repost so it helps more founders🔥

The VC game is broken (for most VCs). The top 20 firms generate 95% of the industry’s returns while the rest fight for the remaining 5%

Every year, about 15 truly great companies are born.

They define markets, reshape industries, and create billions in value.

And around them, thousands of funds compete to get in.
 
But only a handful ever win.

Venture capital looks like it's about picking.
It’s not.
It’s a game of access. 

When a company is growing super fast, every investor in the world can understand it's a good investment opportunity

But most of them can't invest.

Tier 1 firms like Sequoia, a16z, Benchmark, and Accel win the best deals because founders choose them.

Their brand, capital, and networks create a compounding loop: more access, more wins, more reputation.

Everyone else fights for scraps.

So how can emerging (or not so emerging) VC compete?

My full breakdown: https://lnkd.in/dFkeYa9V

Marc Loher

BREAKING: Meta goes all-in on AI at work - even handing employees rivals' tools🤯

Access to: Google Gemini 3 Pro, OpenAI GPT-5/ChatGPT-5, Anthropic Claude (via Devmate), Midjourney, plus Meta's Llama/Metamate.

Gamified adoption: "Level Up" badges, performance tied to AI impact.

CIO Atish Banerjea: "Make AI core to how we work." Switched to Google Workspace for AI integration. Agentic coding with Gemini CLI, OpenAI Codex.

No more tool silos: best tech wins productivity 🔥

The 4 types of Venture Capital:

1) Funds
What it is: A single vehicle (or a couple) run by a small team. They raise money, invest, return capital, maybe raise again, maybe not.

2) Firms
What it is: A repeatable organization that can raise fund after fund because it has an institutional process and multiple partners.

3. Franchise: Creandum
What it is: A VC whose name itself is an asset. Founders want them because of who they are, not just because of one partner or one fund.

4. Companies (a16z)
What it is: VC built like a full-stack company/platform, with multiple departments and products around the core investing engine.

Full breakdown: https://lnkd.in/gVAj2u9D

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