Yes. It’s that time of the week again. #FlanFridays! I’m starting to really enjoy the task of waking up on Friday’s thinking of a flan to feature. The only problem is that I don’t end up eating it all since I usually make a regular sized one. Tragically, most of it goes to waste. I take 3 bites and I’m good. And, my friends are too lazy to drive over for some lusciousness.
OMG.
So, today’s flan was done in a ramekin. Two smaller individuals so I could actually enjoy them. I devoured them very selfishly.
Espresso. This has to be one of my favorite flans. Ever.
And, yes it’s because of my undeniable addiction to the best café in the world.
Cuban coffee.
If you know how to make flan, then this one’s no different, really. Just add the right amout of unsweetened espresso to the mix and sprinkle ground coffee over top the finished custard to beautify it. Adding some whole beans will add some lovely texture and contrast; not to mention the aroma.
If you love flan, this a mouth-watering, tear-jerking, orgasmic one.
And, if you’ve never had flan, this one will convert you!
I will admit there’s nothing too fancy about it, like the blueberry one from last week, but it kills almost all others!
It’s a perfect marriage of flavors if you think of it. Coffee, milk and sugar! Most of us wake up drinking a cup of some kind of roasted beans. This is just the orgasmic form of the liquid jolt.
Enjoy this individual flan.just.for.you.
Happy #FlanFridays!

Eat well, love unapologetically, pray with true intention, and take care of yourself.



















100 thoughts on “#FlanFridays: Cuban Espresso!”
So beautiful! What a perfect flavor, mmmhh!
Cheers,
Rosa
Think you should call this a “Breakfast Flan”. Delicioso!
Not big on coffee, but it does add kick to certain desserts. Loving Joan’s idea of calling it a Breakfast Flan. It’s better than having a danish!
Rosa: Thanks pretty lady. I’m just glad I was able to enjoy it!
JoanNova: Genis! Love it!
DuoDishes: not big on coffee?? are you ok? I had no idea! This flan might change ur mind!
Oye,
Tremendo flan. Very creative, expertly prepared and a fantastic photo.
2 big thumbs up!
I love it, so tasty! I’m sure it’s yummy!
The espresso flavor flan sounds amazing! Love it!!!
If I were a Coffee fan I would LOVE this. So… I’ll take the Flan sans Espresso flavor!!! 🙂
Bren, this coffee flavor flan must taste delicious…looks so smooth and silky…yummie!
Does your list of flavors ever stop?? Not a big coffee fan, but this flan ROCKS! Yep!! Thanks for calling me to share some.
Lazaro: Gracias chico. Sabes que’l flan es unas de mis delicias y por lo tanto me’cante hacerlo! Y de todos tipos!
Missy Foo: It sure was honey! And we all know how much I love espresso!
5 Star Foodie: Oh girlfriend, it sure is!
Jonathan: I could convert you, you know! Just sayin’
Juliana: it is girlie. Too good for words. My parents are traditionalists and purists and even they love this one!
Dullah: Ha! Not so much. I’ve recently come up with an ice cream flavored one! Will have to share that one next! Glad you shared this with me last week!
Yum, yum, yum, aaaahhhh. Somehow, every time you use the term orgasmic in this food context -very fitting when it comes to flan made by you or the Mother Queen B- it takes my taste buds on a trip to gourmet highs! Yes, espresso flan sounds like something to die for. Hmmm, come to think of it, have you tried making it with Patron coffee tequila? or better yet, with my combo Kahlua/Calvados? THEN, let’s talk about orgasmic!!
On a separate yet related note, have you ever educated your readers about the difference(s) between the original espresso and Cuban coffee? Just an idea 🙂
que rico ese flan .me comeria el flan entero si lo tengo frente a mi .si el sabor esta como se ve me lo como todo sin pensar en nadie solo en darme el gusto de saborearlo yo solita .gracias bren .carmen
Thanks so much for this post-you are so talented! Your picture, as always, simply tantalizes! I’m Cuban so loving flan and drinking espresso is in my blood. I can’t wait to make this. How much espresso do you add?
David: ahhh. you know the secret to my success! My mom’s teachings and her master hand at anything Cuban/Latin and beyond! 🙂 Espresso flan is the bomb diggidty! And, thanks for suggesting I do a post on explaining the difference between Italian espresso and Cuban coffee! Love it and will do so!
Carmen: delicioso y de tentacion! Que rico esta ese flan! 🙂
Mari: Aww. You’re too sweet, Mari. I’m glad you enjoyed it. Le hecho 3/4 copa de espresso. Esa cantidad le da un sabor muy rico; pero si quieres uno mas fuerte, puedes hecharle una copa–no mas.
Another fantastic creation. You never cease to amaze me with the ones you come up with.
FYI you don’t have to worry about whether I’d come out to try one of these. I would hop into my car and make the trip immediately. 🙂
I can just taste the carmelized sugar in this one. Uhmm…. Looks delicious!
Ohh my God, este flan se ve delicioso. Tenemos muchas cosas en comun , te gusta viajar, el buen comer y los buenos zapatos. Casi simepre hago flan para mi familia los viernes. Voy a tratar esta receta a ver como me sale se ve expectacular y sobre todo deliciosa.
Mmmm that flan is just perfect!
Flanfridays cuban espresso.. Slap-up 🙂
Rohan: I’ll make sure to let you know next time I whip a few up. It’s holiday time so that means orders left and right!
Dawn: That’s the star in these desserts! So many things you can do to it. Some like it dark and robust, others like it light and airy!
Idanuldis: si mija, las cosas buenas, no!? Has tratado la receta?
Chriesi: Sure was/is!
Clare: Lovin’ that slap-up! Hope you’ve been catching the new ones!
QUE DELICIOSO SE VE EL FLAN ESE ES PARA COMERLO Y NO PENSAR EN COMPARTIR GRACIAS
La Reina de las Flanes does it again. Will def. be doin this one soon.
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Question: Have you tested this approach with expired domains? We’re running some experiments now and the results are… mixed. Your methodology seems safer.
I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.
I’m curious about the sample size for these conclusions. We saw a 15% deviation in our own datasets, but the overall trend aligns with your findings. Good work.
I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.
I’m skeptical about the timeline you proposed, but I’m willing to test it. If this holds up, it changes how we structure our entire outreach program.
Thanks for the transparency. It’s refreshing to see a strategy that doesn’t rely on black-hat churn and burn. Sustainable growth is the only way forward.
Have you considered the impact of mobile-first indexing on these placements? We’ve noticed that some “desktop-safe” strategies are flagging on mobile crawls.
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Question: Have you tested this approach with expired domains? We’re running some experiments now and the results are… mixed. Your methodology seems safer.
The shift towards “entity-based” indexing is real. Your strategy seems to leverage that by building entity associations rather than just keyword matches. Smart.
Brilliant articulation of the problem. The industry has been too focused on metrics like DA/DR instead of actual traffic flow and user behavior.
Actually, I have to disagree slightly with the second point. In our testing, we found that over-optimization was less of a factor than pure engagement metrics. It’s interesting to see how different niches react differently.
Is there a specific tool you recommend for tracking the velocity? We’ve been doing it manually but it’s becoming unscalable.
I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.
Brilliant articulation of the problem. The industry has been too focused on metrics like DA/DR instead of actual traffic flow and user behavior.
The depth here is impressive. Most guides just skim the surface of link velocity, but your point about “natural variance” hits the nail on the head. It’s exactly what we preach to our clients.
I’m curious about the sample size for these conclusions. We saw a 15% deviation in our own datasets, but the overall trend aligns with your findings. Good work.
Does this apply to non-English markets as well? We’re seeing conflicting signals in our EU campaigns compared to what you’ve described here. Would love to hear your thoughts on regional variance.
I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.
I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.
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This is a solid breakdown. One thing I’d add is that the impact of these updates often lags by 2-3 weeks. We tracked this across multiple projects and found the recovery phase is where most people give up too early.
I’d argue that the content relevance is even more critical now. We’ve seen perfectly good links get devalued just because the semantic match wasn’t tight enough.
Thanks for the transparency. It’s refreshing to see a strategy that doesn’t rely on black-hat churn and burn. Sustainable growth is the only way forward.
I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.
Have you considered the impact of mobile-first indexing on these placements? We’ve noticed that some “desktop-safe” strategies are flagging on mobile crawls.
I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.
For anyone reading this, pay attention to paragraph 4. That subtle distinction between “diversity” and “randomness” is what saves you during a Core Update.
I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.
The analogy of the “immune system” is perfect. You need to build resistance before the virus (update) hits. Too many people react instead of prepare.
The depth here is impressive. Most guides just skim the surface of link velocity, but your point about “natural variance” hits the nail on the head. It’s exactly what we preach to our clients.
I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.
Just wanted to say thanks for the detailed case study. It’s rare to see actual data backing up these claims. We’ll be adjusting our Q4 roadmap based on some of these insights.
I’d love to see a follow-up post on how this integrates with social signals. We feel there’s a multiplier effect there that isn’t being fully utilized.
One minor correction: the update rollout was actually 14 days, not 10. But that doesn’t change your main point—the volatility window is getting wider.
Is there a specific tool you recommend for tracking the velocity? We’ve been doing it manually but it’s becoming unscalable.
I’m sharing this with our content team. We’ve been struggling to explain why “quality over quantity” isn’t just a cliché, and this illustrates it perfectly.
I’m curious about the sample size for these conclusions. We saw a 15% deviation in our own datasets, but the overall trend aligns with your findings. Good work.
This is a solid breakdown. One thing I’d add is that the impact of these updates often lags by 2-3 weeks. We tracked this across multiple projects and found the recovery phase is where most people give up too early.
For anyone reading this, pay attention to paragraph 4. That subtle distinction between “diversity” and “randomness” is what saves you during a Core Update.
I’ve been following this topic for a while, and your analysis on the structural shifts really adds a new perspective. We’ve noticed similar patterns in our internal data at SignalLayer, specifically regarding the volatility timeline.
I’m sharing this with our content team. We’ve been struggling to explain why “quality over quantity” isn’t just a cliché, and this illustrates it perfectly.