Unless you’re a mind reader, it’s almost impossible to know exactly how someone feels about you. However, there are a fe

Author : zyassi.ne.9693u
Publish Date : 2021-01-07 05:16:05


Unless you’re a mind reader, it’s almost impossible to know exactly how someone feels about you. However, there are a fe

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s hoping to raise your scores. I have no idea if talking to students will mean higher numbers for you. My evidence is anecdotal. I haven’t conducted a scientific study on this. If you know of one, please share it with me! More than that, I think it’s a good idea to not go into a conversation about evals with a “gaming the system” mentality, as problematic as the system is. Go into it with a commitment to transparency and don’t focus on the numbers. Yes, the numbers are important and many careers depend on them. The long game is to change how the university assesses us. It shouldn’t be to bump up our scores.

When someone is genuinely into you, instead, they will remember most of what you told them. They might remember small details such as something you did during your dates or even the shoes you wore. Because in the end, we remember the things we care about.

The following is the complete list of 39 companies (according to the criteria mentioned above) I invested during 2012–2016 and their current multiples. I am publishing the list here for transparency and accountability. I also want to demonstrate that people don’t have to invest in Uber or Coinbase to get good enough returns. I am lumping companies into groups if they haven’t achieve at least 5X markup. I just don’t feel it’s the right thing to do to point out in public that a company lost or is likely to lose 100% of my investment. Loss is part of the game. For companies that have been around for a long time but are not in a good trajectory to succeed (or failure), I marked them down to 10% of my investment amount. Chances are they are probably worth more than that from the revenue or EBITA perspective. But I am being super conservative for this study. I am assuming the same amount is invested for each company. In reality, it varies a bit but the overall return remains the same.

I consider myself a pretty average angel investor. I don’t keep a high profile so my deal flows are probably not amazing. I didn’t invest in super hot companies like Uber or Coinbase. I was also really naive when I first left Facebook and really had no idea about running a startup or sales or marketing. I was an engineer so I know infrastructure, machine learning and full stack engineering. But that’s all I knew when I left Facebook. I have come a long way since then. I am somewhat amazed despite all these, I am still generating acceptable returns.

We don’t know where the final return is going to land but I will be personally satisfied with a 3X return and based on the estimate, it’s very likely the return will actually be much higher than that.

According to an article published in Psychology Today, when someone is genuinely attracted to you, they typically smile more than usual, making direct eye contact, often with a slow glance away, but still holding the smile. And that’s the exact type of smile Pedro had on his face when he saw me.

You see, if someone is not emotionally attracted to you, they won’t bother to retain information about you. This means that sometimes they’ll remember something, while at other times — actually most of the time — they won’t.

Years ago, while I was spending a semester in Barcelona to learn Spanish, I had a crush on a guy — let’s call him Pedro — who I perceived unattainable. I thought he would never notice this shy Italian girl who could barely speak his language. We hang out with the same group of friends; he was nice and friendly with me, but nothing more.

9 out of the 39 investments could be considered breakouts. Almost all of them generate $10M annual run rate. KiwiCo and Reddit generate more than $100M annual revenue already. Iterable and MatterPort are probably reaching $100M in the next couple of years. I didn’t have any insider information here. I looked up these revenue numbers through clever googling. Their aggregate multiple is 12.5 based on the valuation from the most recent financing round but they are all still growing like weeds with good unit economics so the more realistic multiple of 26.3 is probably still an underestimate.

It’s a bit hard to give one number for the returns as if they are factual. The reality is these investments are illiquid and it’s hard to pinpoint the exact outcome. But here are some estimates:

Moxxly, meetup, Balanced, pic6 Studios, Flurry, Evertoon, MightySignal, Blue Bottle Coffee, LoveWithFood, LaunchTrack, Beepi, SlidePay, Freshplum, Shopgenius, Bento, Munchery

An interesting exercise will be to compare this return to public market returns. In particular, to compare this return to SPY and QQQ. To do that, I decided to calculate the public market multiple based on the return from January 1st, {Investment Year} to Dec 31st, 2019. The basic idea is that if I were to invest in the money in SPY or QQQ instead of company X at the time, what’s my expected investment multiple from SPY or QQQ? For example, the investment multiple of SPY and QQQ from 2012 would be 3.01 and 4.15 respectively and the investment multiple of SPY and QQQ from 2016 would be 1.71 and 1.91 respectively. Using this, the blended multiple of SPY and QQQ based on my investment timing will be 2.29 and 3.04 respectively. In any measure, my angel investments still do better. Again, if you are interested in crunching the number please visit the spreadsheet.

Then, we slowly got to know each other, found out we had plenty of things in common, and he gradually started to open up. After a while, I noticed he tended to spend more time talking to me than to the rest of our group and smiled a lot when he was around me. It was that type of smile which involves not only your mouth but also your eyes and that you can hardly contain.

If you look through the breakout list, they are also pretty well distributed. It’s not like I only invested in breakout companies in a short timeframe. Every single year between 2012–2016 I invested at least one breakout. From the second half of 2015, I did slow down my angel investment pace due to a new child and a new job I took in late 2016. I picked up the pace again in 2020 and I have made 16 direct investments this year. I am pretty sure that at least one of them will become a breakout. But I will report back in 2025.

WonderSchool(Soldsie), BackTotheRoots, Volta, PicCollage, Postmates, FundersClub, Indinero, Hapara, Women.com, BountyHunter, BoxC, Change.org, Microventures, Onera Commerce



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