Reviewing “18 Geeky Predictions — 2017 Edition”
Last year it was the first time that I published my predictions and reviewed them publicly. I enjoyed the intellectual exercise of thinking over and subsequently reviewing them. So here I am again, this time reviewing 2017, just before writing about 2018.
It seems like this time I was more conservative, because I got several more right (10/20) 😜
Following the same format as last year, here we go:
- [🤓 correct] Everybody will get hacked: governments, cities, business, apps, SMBs…
We will learn to live with it :)
That was an easy one!
What’s more interesting is that not only do the number of incidents keeps growing, but also the severity of them: in just the first half of 2017, there were more records breached than in all 2016.
In some cases, there weren’t major consequences; in some others… 📉
- [🤓 correct] More investment will go into private/corporate (cyber)security. We won’t trust (anymore?) the security provided by the previous entities.
That was another easy one! 🤔
Cybersecurity spending has been growing for the last decade— in 2017 it grew up to $85bn! There are many opportunities for startups, pitch us, pls! 😇
What’s probably more interesting is to see that compared to the AWS bill:
- [🤓 correct] Data governance & privacy & big brother will be a big topic, again. WhatsApp, Alexa, IoT, Machine learning… all those things are going to clash with regulators
- [🤓 correct] Bitcoin will grow. We will still not know why
Compared with last year, this year growth is exceptional! But with some predictions mentioning +1m USD / BCT— who knows if this is still cheap?
- [💀 fail?] Many Blockchain projects will be abandoned. 💀
There are some high profile projects that are under-delivering, but I don’t know how many projects have been abandoned. To be honest, today, I don’t think this is an important question. If ICOs are going to follow a similar distribution as VC, it will be a power-law, where the only thing that matters is to be involved in the successful ones.
- [💀 fail?] My bet is that the geekier ones will get traction 🚜 — ie. security certs, distributed storage, etc. — we should invest in them!💰
In terms of financial success, at the moment some of those tokens are underperforming, while others are doing pretty well (1, 2, 3). But in terms of adoption it’s too early to tell. Ethereum with +30k nodes (and growing) in the network seems to be the most active one. Most of the others are still in alpha phase.
- [🤓 correct?] An “important” ICO will flop 📉.
To be fair, Tezos is still pre-floating, but it seems to be messy there.
- [💀 fail] But there will be a new very successful ICO (new Ethereum?) 📈
Not really. Or at least, very hard to see through the noise:
- [😮 missed 😱] ICOs are becoming a challenger to VC funding
#3 Dev Tools
- [💀 fail] 📢 Public Announcement: 2017 will be server-less year
😒 meh! Not so much excitement! It feels a bit “incremental” and the incumbents are already aware that this is coming, so it doesn’t seem to be creating great opportunities for startups.
- [😒 meh] Big businesses will be built by encapsulating business processes into APIs. Developers will keep building the software to eat the world, and they need APIs for that!
- [🤐 dunno] Every developer will have a side SaaS business :)
It’s hard to get data on this.
One proxy could be to look at the results of Hacker News. There, the number of articles about bootstrapping or side project topics didn’t grew much (400–600 a year, 2016 and 2017). In google trends is also a pretty flat trend.
Anecdotally, as my colleague Clement Vouillon pointed, we have seen recently a new trend of Non “VC Compatible” companies.
#4 ML, AI
- [🤓 correct?] ML will get commoditised.
No researchers needed. We will see it everywhere
Definitely, it’s in every pitch 🤠.
AWS et al are “democratizing” the access to ML, but some problems still require highly technical skills.
- [🤐 dunno] The “war” in ML will be about training data.
“How do we acquire more for initial training?” “How do we create more?” “How do we tag it in a smarter way?”…
btw, now that people will stop thinking about improving ML algorithms, somebody might win by doing better algorithms…
I will not call it “war”, but startups with proprietary data — or smart ways to obtain it—get extra points from investors. 😘
There’s also good theoretical progress to reduce the amount of initial data required. For example, Deep Image Prior uses the initial image as the training set and AlphaZero Go uses scenario simulations to eliminate the need for initial training data.
- [🤓 correct] We will invest in at least one Vertically-Focused-ML-Startup® Or an ML-First-Company™
#5 Hardware, IoT, Drones, AR&VR
It will be an Alexa & Google home year. That will have two implications:
- [🤓 correct] (a) It will be a Voice-Powered-Anything™ year and
Amazon already sold over 20m echo devices — as a benchmark, Apple is shipping around 200m iPhones a year. That’s not the only impressive stat, the number of skills available for the Echo — the equivalent of apps in the voice world — is also growing very fast to +15k available.
This seems to be the beginning of a great new platform. If you’re building something into this space, my colleague Savina van der Straten has been writing about why we are so bullish about voice as the next platform here, here and here.
- [🤓 correct] (b) Amazon will become even more valuable
- [💀 fail] Fog computing or computing at the edge will be relevant again.
- [💀 fail?] Consumer drones will flop. Sorry :(
Not a real flop, but except for DJI, it seems like nobody is able to capture that business — 3DRobotics crash, GoPro recalls, Lily out, Parrot layoffs…
The market growth of 35% YoY is quite disappointing for such a nascent technology.
- [🤓 correct] But VR will get traction in eSports
It is still small, but more than a million headsets were sold last quarter.
PSVR accounts for half of the sales and accumulates +1m devices sold a couple of quarters after launch.
VR is coming and is going to be ‘yuuge’ 😲
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