Startup School Guide: Growing Technologies

Something else to be aware of is if you develop something now you are most likely to see it's production use within 3-5 years of development and then you are most likely to see it's market either growing or not in 10 years. This is an interesting dichotomy because it means picking things that may be hard but boring, or fun depending on how you look at them.

I am not affiliated with any of these companies. I just think some of them are well-placed in the market.

-Devops (mostly containers and virtualization software, but also fast/easy build software, customizable configs that adapt better and searchable/informative apis)

-Devops massive ssl/managing keys/passwords deployment software (there are a few automated tools that may help with this but there is in general not too many companies currently handling it)

-Devops massive worker model software or software that helps automation in newer/interesting ways like stackengine (http://stackengine.com/blog/) just got $1 million in funding and provides a way to convert vagrant images to docker images and back again in a fast fashion

-Devops with companies that provide continuous integration at scale or preconfigured devops things that require too much learning to integrate etc, or alternatively lease integration tools. Also managed data worflow between many integrative models. https://jidoteki.com/

-Saas, PaaS, etc software as a service especially in devops looks to be going in several directions or so: 1)safe php applications using sandstorm sandbox and type-safe php llvm type stuff (integrating some of parse: https://parse.com/docs/php_guide which makes traveling from one php application to another seamless, and Hoa which makes dsls more manageable http://hoa-project.net/En/ ) 2)devops delivered through docker + automated binary releases 3)devops in nodejs that controls docker and other things or just low latency/fast productive js (dart could be a good useful bet) 4)determinable execution type programming mostly ocaml and haskell which are considered 90% correct and safer languages 5)clojure immutable data that can be shared between large amounts of web online applications

-safe low latency/low requirement distributed services

-large data crunching (think distributed versus not distributed, purpose of what it is doing, competition)

-the coming large amount of "internet of things" in the next few years will be tons of small robots because of finally cheap enough robotics that they will be buyable + good software markets from many different companies working together The internet of things opens a new dimension for SaaS products that interact seamlessly this is an idealistic idea for how to structure something like that as many multiple agents: http://eve.almende.com/ Also training an AI in a massive simulation with cloud/distributed tech with machine learning algorithms for real usage is a definite possibility

-privacy software (anonymous logins like facebook did, garbled circuits and homomorphic encryption, encrypted multiparty applications like auctions for bidding etc and cloud computing)

-artificial intelligence (not just "deep learning" on it's own like convnets which are doing good performance wise but lack overall structural use, but intelligent software that can solve problems using many other algorithmic components like bloom filters, mark...