Business Models – a risk review

I’m going to make money if you sign up using this link. If not, then this article just helps a cool business move forward. This is also not investment advice, do your own research, always.

A few months ago, I saw an ad about a new way to leverage savings accounts and get more out of my money, without taking on additional risk on the deposited amount.

Save, which is still onboarding early adopters, keeps your money in FDIC insured accounts and only invests your earned interest, which, at this point, is around 1% per year on the most generous savings accounts.

This way, your deposits are safe, and you can’t lose them, while they invest your earned interest on the stock market, in an attempt to 2-3x the return on those funds.

For example, on $100,000 in a Discover Bank savings account, you’re making ~$75 right now, every month. Instead of compounding that interest, Save would invest it in the stock market and hope to achieve a return of $200-$300/month.

Now, unless the stock market goes to zero or drops and never goes back up in a year, it’s my view that I’m set to lose, when compared to my current Discover Bank situation:

  • $67/month @ 90% meltdown, annualized; so only making $7 / month in interest
  • $37/month @ 50% meltdown, annualized; so only making $37 / month in interest
  • $18/month @ 25% meltdown, annualized; so only making $57 / month in interest
  • $3.75/month @ 5% drop, annualized; so only making $71.25 / month in interest

…but never more than I deposited.

If, on the other hand, the market goes up, and I deposited my $100,000 in the Save account, I am set to add the following gains over one year, on top of my $75:

  • $3.75/month @ 5% increase, annualized, so making $78.75 / month in interest
  • $7.5/month @ 10% increase, annualized, so making $82.5 / month in interest
  • $18/month @ 25% increase, annualized, so making $105 / month in interest

And there’s a debit card, with which I can earn an extra $1 in investment principal for every dollar spent with it. Sort of like a cash back, but invested.

If you sign up through the referral program, we each receive a bonus of $1,000 of equivalent portfolio investments. This means your account gets credited for the portfolio returns on an extra $1,000 over a period of one year. Neat.

For me, this is a low risk, high reward potential activity, and it makes sense to save with Save.

I’ve seen a lot of people not understanding how this program works, so I hope this article clears it up a bit.

Photo by Annie Spratt on Unsplash


30 days of DeFi – Journaling my experiments with crypto and decentralized finance

If you haven’t experimented with these things yet, here’s a good place to get started with crypto. Also, this is not investment advice, you may lose all your money by trying these things out.

“Decentralized Finance (DeFi) is the merger of traditional bank services with decentralized technologies such as blockchain. DeFi can also go under the name Open Finance due to its inclusive format. Importantly, the DeFi community seeks to create alternatives to every financial service currently available. These services include items such as savings and checking accounts, loans, asset trading, insurance, and much more.”

According to

Here’s also a more comprehensive guide to DeFi by Coinbase, if you want to learn more before reading.

It’s been over 30 days now since I started experimenting with decentralized finance tools on Ethereum. It’s been a wild ride and I tried to do a lot of things across the entire risk spectrum.

58 transactions and 0.82 ETH gas fees later, I can tell the story of how I won, lost, then won again, then barely edging out a little net win. Follow my story day by day.

I used to explore all my DeFi experiments in one place.

August 2-3

This is when I decided to take the plunge. The market had just gone up in late July, and Twitter was full of chatter about yields to be made in decentralized finance tools (DeFi) like Compound (COMP), Curve, Aave and others. Up until then, I had done little research on any of it and had stayed away from MakerDAO and DAI.

After reading a lot on Twitter, I got onto InstaDapp, since it looked like the easiest way to run some experiments, thanks to their combined transaction model. Great UX, btw.

So that day I gathered all of my available ETH, and deposited it into an InstaDapp contract. I also deposited some BAT that I had earning peanuts in COMP, as collateral for safety. I’ll get to this later.

I borrowed DAI against some of the ETH, then I deposited that into Compound via InstaDapp.

August 4

I did some more research on ETH leveraging through InstaDapp and decided to wind my DAI position up by 15%, so I borrowed DAI, bought ETH and added it as collateral in my MakerDAO account. This will come to bite back later.

On Compound, I decided to try and 4x my mining earnings, so I leveraged my existing collateral (remember the extra BAT?) and borrowed USDC to get DAI and used DAI as collateral to earn COMP.

August 7

There’s a little dip in the market and my MakerDAO position turns from Safe to Risky. I have to get more ETH and add it to my collateral, because I’m already leveraged. No biggie, just some more gas burned. Let’s call it insurance.

I also bought some COMP off the market, that I would use later to farm. That’s when things get interesting.

August 10

Over the weekend, as releases its migration from MCO to CRO, I decide to use some of my BTC to get more collateral and upgrade my crypto card. I was already getting used to InstaDapp, so I get my BTC from my safe, move it to Coinlist, where I wrap it to wBTC, so I can add it to the ETH ecosystem.

With the wrapped BTC, I go on InstaDapp and get enough of a USDC loan to get CRO and update my card. The USDC loan at this point is @ 5% APR, but my COMP mining from it pays for that and more.

Cool. Free money, sans gas costs, which I pay.

August 11

I continue going down the Twitter DeFi rabbit hole and I discover Yam.Finance, a new monetary experiment with automatic rebasing currency, while farming liquidity tokens off

This farming works because liquidity providers get paid a fraction of the transaction costs, and on a very liquid market, you can make significant returns by just keeping coins in there as a market maker.

Back to Yam. I deposit COMP and start farming Yams. While I was getting ramped up with Yam, an error was found in the Yam smart contract, rendering it useless.

August 12

I exit the Yam farming contract, reap Yam rewards and attempt to delegate my yams to save the protocol. Gas prices soar, so my transaction is delayed and I miss the delegation snapshot. Expensive move. Also during this time, Yam rebases chaotically, driving huge price swings. I hold on.

Drama ensues in the Yam community and the team decides to migrate tokens to a new contract that doesn’t rebase.

August 19

After following the Yam groups, I decide to continue with them and move my Yams to Yam v2. More gas burned, but at this point it’s a sunk cost. I want to see where this goes, for the monetary experiment, if anything.

August 21

Guess what, the market dips again, so my InstaDapp risk rating drops very close to Risky again for the MakerDAO position. I add another bit of ETH as reserve in that smart contract, in case the price drops some more.

August 26

I randomly get some COMP off one of their promotions to learn about the protocol, and I get more insights into their governance structure and process. This will come handy later, too.

August 28

Someone decides to fork Uniswap, leverage the Yam UI (which was beautiful, btw) and the COMP governance model, and creates SushiSwap, which takes crypto Twitter by storm. Seeing traction and contract audits, I join the bandwagon.

Sushiswap essentially asks you to provide liquidity on Uniswap for a token set, like COMP-ETH, or SUSHI-ETH, and then take those liquidity tokens and deposit them. That deposit then earns you a 4 digit % yield in SUSHI. Their goal is to launch a community-led Uniswap, with profit sharing through the SUSHI token. Cool.

I set my target of 48 hours to harvest and cash out some rewards, having learned from the Yam debacle.

I also get some more ETH, since I’m burning through gas like crazy with all these smart contract executions.

August 31

Ah, the end of summer.

Also time to harvest those SUSHI. I provide more COMP-ETH liquidity on Uniswap, because I didn’t deposit everything on purpose on August 28. The Sushi contracts automatically harvest rewards when you deposit, kind of like Compound does it too.

I get my SUSHI, which I convert to ETH. I feel great about myself for the rest of the day.

Remember, at this point, I’m still farming SUSHI at 4 digit % returns, so I give it another 3 days this time before my next harvest.

At this point, there’s over $1B worth of crypto locked into SUSHI farms. What could go wrong?

September 3

All is well, bull market under way. As planned, I harvest more SUSHI and I add liquidity to Uniswap’s SUSHI-ETH pair. I then bring my LP tokens and start farming SUSHI with SUSHI.

At this point, there’s $1.5B in assets locked in SUSHI farming contracts. People are taking notice and everyone is excited for the swap launch, with community governance. Even Binance endorses it.

Also, the market is starting to slide again.

September 5

The market drops sharply after stocks take a nosedive at the end of the week, so my InstaDapp risk tool flashes red again for the MakerDAO position.

At the same time, the dev running Sushiswap pulls an exit scam move, by selling all his SUSHI, effectively crashing the price by 50%. I get my COMP-ETH out of there and remove liquidity, harvesting some SUSHI in the process.

Total assets held in Sushi contracts drops back to under $1B, by about 60%, too. I’m keeping my farming SUSHI-ETH pair, and some SUSHI free-float, in case I can take some more profits

I need the ETH for the MakerDAO position, so I add more ETH, which, combined with the previous reserve ETH, move me down to Safe again. Liquidation limit moves down at $244 / ETH.

Right now, when I finished writing this article, I’m up, if you consider the YAM and SUSHI I still hold, at current prices. But this changes every minute.

From a gas point of view, this was an expensive ride, but I learned a lot. And I barely scratched the surface. I will definitely try more things soon and report back.

Tools I found useful along the way

I already linked at the top – great way to visualize assets and transactions.

I found this good article on ways to save on ETH gas price by timing your transactions. I also learned that if you transact with less decimals, you burn less gas.

Metamask – a Web3 wallet that I’ve been using since 2018. Even Bloomberg wrote about them recently. It’s my central command for ETH and ERC20 transactions.

Uniswap Exchange – fast-growing decentralized exchange for ERC20 tokens, and market making for normies.

Compound Finance – the OG place where I started playing with yield farming. Backed by A16Z, it’s one of the safest things you can do in crypto.

InstaDapp – my entry point into the leveraged DeFi world, they created recipes to maximize yield, wind up assets and profit from longs, liquidation risk notwithstanding.

wBTC network – a group of entities that enable people to wrap their bitcoin onto ERC20 tokens. Useful to get your bitcoin into DeFi.

MakerDAO – a place where you can deposit ETH and get DAI loans at 0% APR, which you can farm with. An interesting stablecoin that’s hugely popular.

DeFi Prime – content aggregator about the industry. Good to discover projects and experiments.

DeFi Pulse – check out the amount of money locked in DeFi contracts. Good to check project health.

DeFi Explore – a place where you can see your DAI exposure and profit/loss on the Maker CDP.

DeBank – a alternative to viewing portfolios, making transactions. Has a cool Swap view of decentralized exchanges, with rates and gas fees.

Elrond – a promising chain to compete with ETH DeFi.

Zerion – visualize market stats. See how much is in each liquidity pool.

Zippo – another cool way to visualize projects, like SUSHI, YAM – price, yield, liquidity.

Projects I haven’t explored yet

Aave – didn’t really have attractive yields for me. Maybe I don’t know enough about it. It also only recently become available on InstaDapp.

Synthetix – too risky for my taste, I don’t understand enough about derivatives. SNX tools is also a good way to visualize that ecosystem.

Dia Data – open price feeds for DeFi

Idle.Finance – decentralized hedge fund for ERC20 & ETH, with risk scores.

Yearn Finance – a token that is more expensive than BTC now, and with 2 digit % yields on ETH, DAI.

Photo by Bermix Studio on Unsplash


Failed food deliveries – a technology fix

Today, a Caviar courier managed to not delivery my order. This is not the first time a courier fails to deliver my food, although it showed as confirmed in the app. I live on a little hilltop building, with an alley way entrance between two small lion statues. I’m aware it’s hard to find and I always add instructions on how to get to my apartment. It usually works, but sometimes I get to starve for another 30+ minutes until we figure out other alternatives to the meal we’d been waiting for.

In this day and age, with contactless deliveries, which are great, it’s hard for couriers to know that they have delivered to the right person. So we need a solution to enable them to verify the order destination without me being there.

Sounds like a job for zero-knowledge proofs, if you’re a crypto-geek, like me. Or it’s just a simple async identity verification problem.

There’s a problem with addresses. Your GPS might say you’re at one address, but you’re actually at another building. Some buildings have the numbers well-hidden, others don’t have any numbers altogether, so couriers have to guess.

Being in love with technology, and being an advisor for Tailpath, I propose this simple solution:

  • As a customer, I want to give the courier enough information for them to be able to verify my identity, without being face to face with them, but not have to print / show identifiers each time. I also don’t want to reveal my personal information at the door.
  • As a courier, I want an easy way to verify if I’m dropping off the order in the right location. But I don’t always know if that’s the right address. I can’t ask the customer due to COVID or because they are not home, so I need to rely on signage
  • As an app builder (i.e. Caviar, Uber Eats), I would like to have a reliable way for couriers and customers to make the transaction without physically meeting.
  • Customers could have their address on a QR code on their door, for couriers to scan with their Tailpath app, or a white-label version of it within Caviar or Uber Eats or similar. You’d only need to put the code up once, and reuse over and over again
  • If the address matches with the address given in the app, the delivery is confirmed and the courier knows they dropped off the order correctly, and the customer is notified. The courier can also take a photo of the delivery at the correct door, for proof.
  • If the address doesn’t match, the courier can call the customer for further instructions.

This way, the courier proves they delivered in the right place, and the customer has no way of arguing that there was a mis-delivery if the courier scanned the code at their door and left a photo proof of the delivery.

I hope these apps get better, so less people have to go through the hassle of not having their food delivered correctly.

Photo by ivan Torres on Unsplash

Venture Capital

Top US universities are VC institutional partners

I tried sharing this story directly on LinkedIn, but it didn’t work, so I’m posting it here.

If you didn’t graduate from a top 5 school and wonder why top VCs are primarily funding certain types grads, then here’s a story for you.

Elena, who recently launched a really cool resume and career coaching service called Inner Stories, is reading a book called “Alpha Girls“, about women in the VC world from back in the 80s-90s. One of the things she shared with me is that Accel, named in the book, had Harvard University, Massachusetts Institute of Technology & Princeton University as institutional investors.

Think about it. That way, they are 2x incentivized to fund their graduates. Looking at funding patterns, it’s now starting to make sense how the system works over here. Here’s an extra article outlining how the university endowment funds ended up boycotting Accel’s VC fund fees in 2001, and other interesting tidbits of VC history.

So the money you pay for that Harvard tuition might end up on your cap table at seed or Series A, if you graduate and start a company. Not a bad deal for students. Not great for diversity, though, and opening up the funding circle.

Photo by Nathan Dumlao on Unsplash


Understading AI as a Marketer

Recently, I accepted the invite to be on the MorphL “Get your AI On” podcast, where we talked about AI and marketing. Ciprian and I walked away understanding that this process to build AI is very similar to how we think about marketing campaigns. And we got excited, his team wrote an article. But before that, here’s the comparison that got us here:

Business problem -> Data -> Models -> Measurement -> Active learning/Tuning, rinse, repeat; 

If you think about it this way, as a marketer, then it’s not as complicated as it may seem at first glance. Sure, there’s matrix multiplications, there’s big data, algorithms, frameworks, but to know enough to be dangerous, you just need to understand the principles. That point above, plus the amazing list of insight are in the article that I linked below.

Check out MorphL’s full article on how marketers and AI can become better friends.

Photo by Campaign Creators on Unsplash


Thinking big and doing the work

It’s funny that I have to write an article about this, but I recently talked with someone I trust and respect a lot about this topic. He’s been around much longer than I have and has worked with Steve Jobs directly at some point in his life. He’s also consulted with a ton of companies in the Bay Area.

He said that it’s rare to find people that think big and do the work required to implement their ideas. Most people do either one or the other well, and there’s people that don’t do either.

I used to be an ideas only person, well, frankly, because I was lazy. I though I was special just because I existed, so my ideas were great off the bat, so I should have to do any work, let alone hard work to get stuff done. But as I met more and more cool, interesting and successful smart people, I noticed something about them. They all did the hard, grueling work. They stayed up all night to perfect their pitch, the campaign, the proposal, the deck. They didn’t say “it’s good enough”, they pushed for great.

Of course, my lazy nature tried to fight back, but by pushing myself, I saw that if I put in the extra hour, or the extra iteration, I got better and better results. It got me more budgets, raises, promotions, an MBA degree, experience working in competitive markets like London or San Francisco. But even now it’s still hard to do the work, unless I remember why I’m doing it. If it’s meaningful, I’ll put in the hours and deliver my best self.

Something to think about on a Friday evening, as you’re going into the weekend.

Photo by Daniel Chekalov on Unsplash

Venture Capital

My investment thesis

I realized I joined Republic in early 2018, and I have used that time to invest in a few of companies. This was just one of the ways I managed to beat the accredited investor limitation in the US, which keeps less wealthy people from gaining wealth as fast as rich people.

Between now and then, I have tried to form an educated opinion on every company that I was interested in from an investment perspective and I wanted to formalize that in this article. I talked with a more experienced investor lately and he mentioned how writing down your investment thesis will keep you accountable and focused.

I can definitely see that happening, since one can get distracted by a great pitch and ignore certain points, if you don’t have a clear list.

So here are my criteria for my next few years of investing:

  • invest in what I know: marketing technology, artificial intelligence practical applications, customer experience technology, blockchain technology, fintech
  • invest in strong founding teams: vetted backgrounds, big-tech alumni, serial entrepreneurs, track record for success; AND/OR great to work with, smart, driven, resourceful, growth mindset (if it’s meaningful enough to get involved personally)
  • look for traction or early interest: they have already some paying customers, there is a long waitlist for their product/service, people are willing to use their app, any kind of proof that they are on to something
  • the market size is meaningful: they are not limited to local geos, the vision is to address a global market and scale massively; minimum TAM of $10B in 5 years and growing
  • investor signaling: if someone wealthier, more experienced than me (a.k.a. top tier accelerators, angels, VCs) already risked early money with them, then I’m more likely to consider investing.

This list is likely to evolve, as I get more experience in the space, so I welcome any suggestions, ideas or feedback!

Photo by Lily Zhou on Unsplash

Artificial Intelligence

Podcast: Get your AI On with MorphL – Marketing AI Products

Since coming to the US in 2016, I’ve had on and off attempts to get back to public speaking, with some webinars, virtual events, but not podcasts.

So when Ciprian from MorphL – the AI platform for e-commerce. reached out to me about being on Get your AI On, I was excited to jump in.

I’m really happy with how it turned out! You can listen to me and Ciprian talk about AI, marketing and entrepreneurship for about 36 minutes.

Preview: A marketing campaign is not that different to how people think about AI projects, at a high level.

It took me 10 years of marketing and 4 years in the AI industry to figure this one out. I’m not going to spoil it by talking about the content anymore. You have to listen to it to get details.

Let me know if you liked it. Let me know if you didn’t. I won’t be offended.

As usual, I represented myself in the podcast, on my own free time, as a marketer and AI industry member. Ideas and thoughts are my own.

Photo by Hal Gatewood on Unsplash

Advertising Digital Tips

eBook Review: How to get started with Facebook Ads in B2B

Earlier this week, a friend of mine announced that he published a B2B Facebook ads guide. I got the ebook almost the same day and wanted to share a few thoughts about it here (with his permission).

I think how to’s are great subtitles, and here, “How to get started with Facebook Ads in B2B,” feels like it needs a bigger story to attach to. I would recommend going for an evocative title, something that speaks to the value of getting started with those ads – maybe brand awareness, cost optimization or untapped audiences.

The eBook starts with a contrarian view on B2B marketing trends, and tries to challenge the myth that Facebook only works for B2C/DTC brands. I would have loved to see a few goals to expect, or some sense of scope for using Facebook as a B2B channel. They anchor the ads then to the funnel – mid- and top of the funnel activities, that complement SEM and other intent based efforts. Arguing that there’s behavioral data on Facebook you can use for tracking makes sense, but an example would have helped me understand the thinking behind the theory. What are some of the attributed you use on Facebook to target a buyer audience?

I agree that Facebook is underutilized for B2B, but you compete with B2C brands, and the people you may be targeting with your B2B ad might be prime buyers for DTC brands, so your costs won’t go down that well. Something to think about.

The SMB argument is interesting, since it seems that the goal of the ebook is less about brand awareness and engagement, but more direct buys via Facebook. This certainly doesn’t work for B2B enterprise solutions, but I wouldn’t discount the leadgen component for that segment.

The options discussed below seems to steer back into enterprise, since option B specifically talks about CMOs being the target audience. I would have loved to see a more SMB example here. I’m also confused on why you would need 10-15k users for Option A, and only 200 for Option B. I would also want to understand more about collecting event data, and intent actions – what tools, what events etc.

I’m assuming that’s the pixel installation and config, but a transition would help clarify that. I would also add additional structure to the pixel setup, based on event types, going beyond the click. That’s very well done in the audience setup part of the eBook, where you leverage that traffic you collected in the pre-requisites.

Do not spam with retargeting is always good advice. No one wants to be followed around by ads.

As the eBook continues with tips and tricks, the advice is great, but I feel the need to anchor it to an example that is used throughout the book, unpacking it piece by piece, and showing what worked and what didn’t at each stage of the experimentation. This is especially important for creatives and messaging examples, as well as targeting.

I wanted to see more in the learning phase, almost expecting their story and learning, and some guidance on how many experiments to run, how big those experiments should be and where common pitfalls are, with specific examples. I’m sure they spent a sizable amount of money and time learning, it’s just not reflected here clearly enough.

Here’s what’s not that great – in the lead magnets section, the narrative shifts specifically to the SaaS platform that’s authoring the book. In the shift is not clear whether they are using this as an example or promoting some of their features, so I would recommend clarifying that. The deep dive into the platform screenshot then feels too sales-y for this eBook, which promised me Facebook Ads for B2B and instead is promoting a platform/CRM. I get the need to connect it to the product, but there are better ways to do it and you can wait until the end, or invite the reader to a separate mid-funnel doc.

The experiment section is great advice, and I would add some more detail on structuring, measuring and iterating on experiments – KPIs, duration, methods to launch, track and iterate.

The conclusion page could expand on the types of goals B2B marketers have and summarize how they can achieve them by following this eBook’s advice. This is where you can invite people to check out the platform and combine their B2B Facebook efforts with

Overall, I think the eBook helps people think differently about B2B ads, but it takes a bit of time and I had to read it a few times to extract that “what would be applicable for my use case” essence.

Photo by Joshua Earle on Unsplash


33 cool things I did before I turned 33

Yeah, it happened.

I managed to get to the great palindromic age of 33.

Some people imagine their lives as adults when they are still kids, how their lives would look like. For me, it wasn’t that. I mostly tried to make it at least 5 years into the future. After all, I couldn’t really imagine much from post-communist Romania, in a quiet corner of north-west Transylvania.

But little did I know.

Without further ado, here it goes:

  1. I traveled to over 30 countries. I think this year I was supposed to be up to 33, but then corona happened.
  2. I rode a 1700 cc Harley at sunset, near the Golden Gate bridge, in San Francisco.
  3. I went snowboarding for over 20 days in a season, up at Tahoe.
  4. I lived in London, UK, for 2 years.
  5. I moved far, far away from my hometown for college. Like a 12 hour train ride away, or 600km in Romania.
  6. I lived in Salt Lake City, UT, for a month just to snowboard and work remotely while at a crypto startup.
  7. I moved to San Francisco with about 2 months of runway in the bank and zero safety nets.
  8. I got married in a foreign country. After meeting her on a beach, at 3am, on the Romanian seaside.
  9. I camped in the mountains and on the beach.
  10. I built a website in 2009 and bought my first car with the money from it. Then decided to become a marketer.
  11. I graduated from an Executive MBA at 26, an age where most of my colleagues had more business experience than I had life. Also, I didn’t really know how I would eventually pay for it.
  12. I commuted by plane from Bucharest to London every month, for 2 years.
  13. Swam and snorkeled between continents in Iceland.
  14. Saw the northern lights, several times, also in Iceland.
  15. Saw the Niagara Falls while in Toronto at a decentralized identity event.
  16. Bought an investment property in Ohio.
  17. Paid $4,000 rent for a 1 bedroom. Per month.
  18. Earned $1.5/hour as my first real job, without a college degree, in 2009.
  19. Dropped out of my first college adventure in finance, banking and stock exchange.
  20. Finished college as a distance learner, with career switchers and high-school exam second timers. Also graduated at the same time as my wife, even though she’s almost 4 years younger than me.
  21. Lost money on the stock market using leveraged instruments and derivatives.
  22. Lost money in crypto ICOs
  23. Made enough money to pay that $4,000 per month rent in SF.
  24. Worked from home for over 10 months before we all had to. It sucked then, still sucks now.
  25. I organized tech and entrepreneurship meetups in London and San Francisco. Still organize them in SF, only virtually while we get rid of the virus.
  26. Worked in advertising, mining, consulting, food delivery, fintech, AI, crypto and identity, with vending machines, data. I’m actively interested in quantum computing, so who knows what’s next.
  27. Owned an Audi A1 at 23, bought with my own money.
  28. I surfed in the Pacific Ocean. It’s cold.
  29. Got laid off from a controversial gold and silver mining project and left my birth country to pursue tech.
  30. Won the Green Card lottery, even though when I first found out about it in 2012, i thought it was a scam. Applied a few years in a row to get it. It’s real.
  31. I jumped from a plane, at 30,000 ft, with a parachute.
  32. I traveled to Hong Kong in a business class seat with my wife, for fun.
  33. I started writing, again and again.

There’s a ton more things I could add here, but I’ll save some for other years. I’m sure there’s plenty more to come.

Happy birthday to me!

Photo by Flora Mipsum on Unsplash