Signal by Nova
Signal by Nova

Signal 15: I Sold My Startup for $75M in Under 3 Years | StackAI's Toni Rosinol | Apple Sues OpenAI | The Real AI Moat

23 July 2026 54:06 Nova

Listen to episode

About this episode

The weekly filter on tech, AI and the future of work.

Every week, Nova's founders and members cut through the noise so you can stay on top of what matters in tech, AI and the future of work, before it reaches your feed. No scripts, no filters: just real insight from the people shaping their sectors.

In Episode 15, Nova's co-founders Ramón and Andrea sit down with Toni Rosinol, co-founder of StackAI, for a conversation about building a company over 3 years and the journey to its acquisition by Asana.

Topics covered: how StackAI went from a horizontal, viral no-code platform to a focused enterprise play for regulated industries like finance. Why distribution became a key factor in StackAI's next phase of growth, and why Asana stood out: not just for its reach, but for its shared vision for the future of enterprise AI.

Why Toni and his co-founder were thoughtful about finding the right long-term partner, and how that changed the negotiation. The one condition they set before agreeing to the deal: keep the team, the product and the culture intact. Why the AI talent bar just moved from "one great engineer replaces 10 average ones" to "one great engineer replaces 100." Toni's blunt read on where the real AI moat is heading (hint: not the model). Apple's new lawsuit against OpenAI over trade secrets and poached staff. GPT-5.6's launch and what it means for pricing pressure across the industry. And Toni's answer to the question every founder in Spain gets asked: build in Europe, or leave?


Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Signal by Nova. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.