I agree it takes time! But would be amazing if the author(s) could make a tutorial / step by step on how they did it. I would def pay for that info / tutorial
328 karma · joined July 8, 2010
Looking for someone confortable with python / webasm / cryptography extra point if you re interested in smart contract and blockchain. Overall your goal will be to help us scale the solution to support 100s of thousands of voters while dealing with massive amount of encryptions.
Ask for more info at Franck[at]electis.io
Electis is a non profit developing and promoting open source e-voting solutions for low stake elections for communities / cities / NGOs.
We're looking for someone to join us as a senior Full Stack developer with a good knowledge of encryption technologies (we're using El Gamal with ElectionGuard an open source voting SDK) and an interest in DLT (we're using the Tezos blockchain) our platform is built on Python/Django and produces proof of elections in the form of a smart contract but we're looking to move some of the encryption on the client side with webasm (using a C++ library) at the end of the day we're looking for people passionate about e-voting and encryption so don't be shy to reach out. Our team is distributed (France / Spain / UK / Japan / US)
contact: Franck [At] electis [dot] io our open source e-voting solution is on electis.app and is currently used by students across 80 universities and we're about to do our first city election (more cities to come)
That being said the standard model is very good at predicting outcomes at a small scale. The issue with gravity is things where General relativity applies need to be huge to be observe. If we want to find a quantum model of gravity we need to observe what gravity does at a small scale and try to fit a model within these observations. That’s why this experiment is a step in the right direction. Maybe gravity does “weird” things at a smaller scale… Back to your question we don’t know we just observe :)
It’s also a good signal for the ecosystem to have alternate venture paths and vehicles where founders can keep higher ownership.
Kudos to them
Remote / 6 months / part or full time (depends on experience)
Ideally : Python, zero knowledge, REACT, blockchain, AWS and a passion for voting platforms
Looking for a python engineer with ideally good knowledge or a passion for crypto (Zk / SSL etc..) to develop a semi decentralized open source voting system using election guard (voting open source solution) and decentralize some aspect of it on Tezos (proof of stake chain)
Contact : franck[at]electis.io
It was awful and bloody and many revolutionary were awful people uneducated and prompt to bloodbath. But it soon inspired so many nations to move towards democracy that sometimes if not always history shows that awful people can build great things (pirates in New York etc..)
I remember she hated Lafayette for example to put some USA perspective she must have hated Washington too.
Rulers should be judged indeed on victory or defeat this current fashion of looking back at history to say individuals had good or bad personalities is dangerously capable of transforming the worst people into adorable ones.
Her story is the story of the Romanov in Russia or the Shah in Iran. People who loved to party and who had great education would be people You would love to hang out with today for sure.
But they did so while their own people were on the verge of collapsing... I don’t see a parallel with Hillary neither, if Hillary was burning millions of dollars when her husband was in power and partying all the time in the poorest city with people dying in the street then you would have had Marie Antoinette but Hillary acted as a ruler and worked hard to help her country (wether you like her politics or not)
Sales for a startups depends of course of the product b2b vs b2c is one dimension and venture backed or bootstrap is another.
For b2c I would recommend lean startup (the product should ideally sell itself / marketing is key)
For b2b you need a list of contact and you need to reach out it’s a volume game to conversion like in b2c the difference is “you are the add” you should equally test different message and tweak them and the product for conversion (assuming the product is good)
Venture capitalists / angels also need a sales pitch. The pitch is closer to a story telling each of them is expecting something different and the beat way to get in is via warm intro (works also for b2b)
Nothing mind blowing here as on how to train for it I would suggest to join a software company and do sales (b2b or b2c) it’s easier to start with a known sales pitch and a known product / market than having to work on figuring it out on the way.
I will end with a funny comment yet important I think it was from union square venture who said to be careful to invest in a startup with a great sales person as it might send a false positive on growth (startups especially b2c should grow via marketing not direct sales as for b2b if the founder is an amazing sales person it might be hard to scale that)
Hope that helps
I understand most of the comments but as you grow your startup will come a time when it becomes useful when you have 70+ and even more thousands of employees. The bigger the company the harder it is to manage, google famously hated management and ended up with OKRs. My understanding from a couple of ex-googlers is that now most people are just gaming the system and aiming at a 0.7 score so I'm not sure if they are still as useful as they were at google.
OKRs / KPI etc are not magic, at the end of the day the article is right, the team is what matters, how teams align and communicate with each other is what OKRs can help with (I find them better than the old top down KPIs personally) I was asked by a startup to explain OKRs and I kept getting the CEO to ask me questions related to them not making sense (e.g some teams argued that goal X did not make sense to them etc...) For me this was not an issue with the OKRs per se, but OKRs helped to show very clearly that the organization was not well structured for the general goals, so worst case if OKRs don't work you should be able to tweak things and measure the impact (that's the all idea : measuring to improve)