Dídac

Head in the clouds & feet on the ground / SSI Divemaster, Entrepreneur, BA & VC. Former Barça Board Member. #CarpeMomentum #GaldanaVentures

[Dídac @DidacLee]

Un dia com avui, fa 50 anys, va obrir el Shanghai Figueres, convertint-se en el primer restaurant xinès de la província de Girona!

Un día como hoy, hace 50 años, abrió el Shanghai Figueres, convirtiéndose en el primer restaurante chino de la provincia de Girona!

@visitfigueres

[Dídac @DidacLee]

🤯

[Alfred Wahlforss @itsalfredw]

Our intern just built the first zero-person company.

Listen's agent ran a loop:
- Interview users
- Build
- Test with real people
- Fix issues
- Repeat

2,000 interviews and 100 concepts later: an app with 100s of paying customers.

Here’s how it works:

[Dídac @DidacLee]

@davmiranda2 @X @elonmusk Descansa un poco de X! Comprate una Play!

[Matt Miller @MattEvantic]

Have loved seeing @tryprofound advancing from thr product that helped marketers thrive in the world of AI to the platform that runs helps markerters do everything better now leveraging AI. Congrats to @dbabbs and team.

[Joan Rodriguez @joanrod_ai]

Wonder x QuiverAI

We're so excited to bring this partnership live! @usewonder is an incredible place for AI native design, and now you can create SVGs powered by our Arrow 1.1 model.

Can't wait to see what you create with it!

[Dylan Babbs @dbabbs]

Today, @tryprofound is launching Aim, the first background agent purpose-built for marketers.

For months, we've been obsessed with one problem: dashboards tell you what's happening, but not how to act on the data.

Aim is the agent harness designed specifically for marketing. Aim is trained from scratch on Profound's proprietary data, grounded in our research, and understands how marketers get work done.

Aim analyzes your AI Search data, Prompt Volumes, competitive insights, and Knowledge Base to surface the opportunities worth acting on. It finds the anomalies that matter so you can spend your time on what moves the needle.

Every Project comes with a data-backed brief and recommended tasks. From there, you can:

• Chat with Aim to refine the plan
• Deploy the custom Agent in one click
• Track progress automatically

Aim is your newest teammate keeping you moving in the right direction, working 24/7.

[Dídac @DidacLee]

@carlosotermin @carlosdomingo Crack @carlosdomingo !!

[Victor Riparbelli @vriparbelli]

We just shipped Motion Graphics. I keep having "I can't believe this actually works" moments with it. It’s almost like working with a video editor.

Great videos need motion, and now with Synthesia, you can turn any script into animated visuals in seconds.

[Julien Codorniou @codorniou]

How the DeepMind mafia brought the AI boom to London https://t.co/UnG3XemamC via @ft

[Dídac @DidacLee]

@javilop @ycombinator +1!!!

[Dídac @DidacLee]

@ruima @awxjack Jack is the best!

[Jack Zhang @awxjack]

We’ve raised $320M at an $11B valuation, led by Addition.

AI is changing how companies are built. Teams are smaller, global from day one, and using agents more. We’ve spent 10 years building the financial rails for that world.

We’re now building the intelligent layer on top.

[Ivan Landabaso @IvanLandabaso]

I deep-dived into @n8n_io's growth to $100M ARR.

Key growth mechanics I found most interesting:

(full growth playbook below)

1/ Gave the product away for free + treated the support forum as the product. Every answer was public so it scaled + turned frustrated users into fans.

2/ Made it "harder to learn" than incumbents like Zapier on purpose so nobody outgrows it (interesting product trade-offs).

3/ Said it was a business out loud on day 1 while MongoDB and Redis burned their trust with communities relicensing (sent burned developers to n8n).

4/ Rebuilt the product into an AI agent builder in 6 weeks and revenue 4x'd in the next 8 months.

5/ Bet on zero AI models, with every new model that launches it makes n8n stronger as an orchestrator (for free).

6/ Deleted their lead-generation goal mid-fundraise, they stopped chasing leads and went all-in on community, + the community pulled in the enterprise.

7/ Let the community pre-build 10,000 workflows and now each one is a working template that became their onboarding + ranks on Google as free SEO.

8/ Let companies keep it fully in-house which is what won the buyers who won't touch the cloud like defense, banks, the UN, and SAP.

Now worth $5.2B, after SAP invested c.60M for 1.3% position in the company, and rolling it out together with their AI Agent product Joule.

Would love any feedback / thoughts, had a lot of fun putting this together, full deep-dive 👇

[Dídac @DidacLee]

👏🏻👏🏻👏🏻 @MattEvantic

[Seb Johnson @SebJohnsonUK]

Winning oversubscribed tech rounds is brutal.

@MattEvantic from @EvanticCapital proved that community is the ultimate leverage.

When you have a network of legends knocking down doors from all sides, founders start rewriting their rounds just to let you in.

That is real product-market fit.

[Dídac @DidacLee]

🚀🚀🚀🚀😎

[Expansión Catalunya @exp_catalunya]

Exoticca llega a 400 millones de ventas y entra en beneficios gracias a la IA https://t.co/hCrt5L6OCX

[Dídac @DidacLee]

The best founders I’ve met are driven by something bigger than themselves. The returns tend to follow!

[David Cahn @DavidCahn6]

https://t.co/GEBaxL38Ga

[David Cahn @DavidCahn6]

https://t.co/GEBaxL38Ga

[Dídac @DidacLee]

Delighted to continue supporting the project. Congratulations to the whole Prosper AI team on this achievement — excited for the journey ahead!

[Xavier de Gracia @XDeGracia]

At Prosper AI we are thrilled to have raised a $30M Series A led by @a16z

We’ve grown 5x in the last 6 months, supporting now +150,000 healthcare providers and 60+ healthcare organizations, including outpatient groups and enterprises backed by firms like Blackstone, KKR, and Bain Capital.

Healthcare's most influential organizations, including @athenahealth , the largest EHR for outpatient practices, are now our customers.

Prosper is the first AI platform to run the entire patient journey. 👇

[Dídac @DidacLee]

👏🏻👏🏻 @vriparbelli @Stjerrild

[Ivan Landabaso @IvanLandabaso]

Synthesia went from $0 to $150M ARR in 9 years.

I went through 18 founder interviews (+ everything I could find on them) to find out how they grew 📈:

@VictorRiparbelli and @SteffenTjerrild started in 2017, pre-ChatGPT (talk about vision), on a piece of tech most investors at the time were pretty scared to fund (~100+ rejections).

Then they found Mark Cuban's Gmail inside the Sony hack data dump and cold-emailed him a demo, which got them a $1M ticket at $5M post.

Scandals came too with their avatars being used by bad actors fronting propaganda (i.e. Venezuelan state media and so on).

Today 90%+ of the Fortune 100 pays for it.

Here are the 8 growth levers that caught my eye:

1. They used celebrity stunts very intelligently to sell tech they couldn't yet ship at scale yet, great distribution leverage (phenomenal reach for their size at the time).

2. Killed their first profitable product on purpose: dubbing made real money but sat at the wrong end of the workflow so nobody would've screamed if it vanished / no real PMF yet (hard trade-off).

3. Sold a worse video to the right buyer: a robotic avatar loses to a film crew but crushed a 15-page PDF nobody reads in corporates, so they went and found the second comparison (talking to thousands of users, iterating fast).

4. Built a funnel that qualifies itself: free video to $29 card to $1M+ contract, buyer climbs the ladder (instead of sales calls).

5. Let customers churn on purpose: fringe use cases leaving was the price to pay for finding which weird use-cases were real (real trade-offs, especially when faced with vc benchmarks for subsequent rounds).

6. Turned strict moderation into a sales pitch: consent-only avatars looked like a handicap in 2017 but by 2025 it's apparently a big reason why Fortune 100 legal teams sign with them.

7. Won the AI race on the non-AI stuff: the editor, the player, translation, SSO etc, the boring software around the model.

8. Stopped selling MP4s and started selling "outcomes": 140%+ net revenue retention because every market and language expands the contract automatically, impressive by any benchmark today (especially with their margins in this AI wave).

Also, and again shows vision / conviction, they said no to Adobe's ~$3B offer and then raised at $4B three months later.

Full deep-dive + the trade-offs in my bio (@IvanLandabaso) or below 👇:

[Dídac @DidacLee]

@GEVS94 @Nicobot01 Eres un grande!

[Dídac @DidacLee]

👇🏻👇🏻

[Matt Miller @MattEvantic]

If the UK wants its own AI champions, it should start by freeing the labour market - shared my thoughts here: https://t.co/QUmxtSm6LK