Smart contracts are automated contracts. They are self-executing with specific instructions written on its code which get executed when certain conditions are made.

Anything that runs on a blockchain needs to be immutable and must have the ability to run through multiple nodes without compromising its integrity. As a result of which, smart contract functionality needs to have three things:

  • Being deterministic.
  • Terminable.
  • Isolated.

Comparing 40 smart contract platform is a tough exercise, you may want to start with a table… 40 lines and up to 50 columns later (2000 cells) it start to be difficult to compare items.

I built https://platform.tokens-economy.comto offer an encompassing and structured overview of the major smart contract platforms. A table rendering like is also now available at

You can filter up to 40 smart contract platform using buttons and sliders!


  • Click each button to refine your search criteria,
  • Hover on logo will open a tool-tip with more details,
  • Clicking on logo will open the project page.

Over the years, Hackers have stolen billion of dollars worth of crypto-coins from various exchanges and platform. Cryptocurrencies attract the attention of some of the world’s most opportunistic hackers and exchanges are still not regulated….the mix of these two components is an explosive cocktail!

✓ 62+ hacks are documented

✓ Browse and filter using categories (Bitcoin, Ethereum, Altcoins, Scam/Phishing)

✓ With Infinite scrolling: a web-design technique that loads content continuously as the user scrolls down the page, eliminating the need for pagination.

Tokens-Economy will maintain a timeline of all hacks in Ethereum and #Bitcoin at

Have information about a hack that we haven’t listed? Leave a comment below and we’ll update the article.

The complete list of 65+ Blockchain Consensus is now available on GitHub! I’m impatient to merge all your Pull Request to improve this documentation so we can make it the best available source!


The innovation speed in Blockchain landscape is just breathtaking and being able to (or to be honest trying to…) follow all these rapid changes is a chance for all software engineers.

At the core of the Blockchain disruption are consensus algorithm:

Consensus algorithms enable network participants to agree on the contents of a blockchain in a distributed and trust-less manner.

And the consensus algorithm plays a crucial role in maintaining the safety and efficiency of blockchain. Using the right algorithm may bring a significant increase to the performance of blockchain application.

But do you know how much consensus type are out there? or where they are applied? my new Consensus Map may help you there exploring the always evolving landscape:

Here is the actual Consensus list:  DPoR, DPoS, DPoS/LPoS, FBA, HPoW, LFT, Limited Confidence Proof-of-Activity, Ouroboros, POBh, PoA, PoB, PoB/PoS, PoC, PoI, PoP, PoP/PoV/PoQ, PoPP, PoR, PoS, PoS/LPoS, PoS/PoB, PoS/PoD, PoS/PoP, PoS/PoW, PoS/PoW/PoT, PoST, PoSign, PoW, PoW/DPoW, PoW/HiPoS, PoW/PoM/PoSII, PoW/PoS, PoW/PoS/PoC, PoW/PoSC, PoW/PoZ, PoW/nPoS, PoWT Proof of Believability, Proof of Existence, Proof of Ownership, Proof of Time, Scrypt-adaptive-N (ASIC resistant), TPoS, Tangle, dPoW/PoW, mFBA

You can filter by any type of Consensus and zoom, learn more about them by hovering over the menu.

The Map will be auto-magically regenerated every week on Sunday evening. The tedious task of maintaining the list of all Consensus algorithms (60+) and their descriptions is (still) maintained manually.

More filters will be added soon, and your feedback is always welcomed. Visit now 

From all ended ICO in each country, the bigger the bubble, the more the amount of money raised.

Switzerland – Russia – Singapore – USA – Estonia – Germany – Liechtenstein

A new set of web technologies are enabling a more distributed economic model based upon the blockchain and token markets

By Häsli and Cédric Walter

Biggest searchable blockchain whitepaper database

Soon you’ll be able to read and search in more than 4000+ blockchain PDF whitepapers/research/eBook in an easy to use online searchable/labelled/tagged database.

For every single 247 country, the official regulation entity is identified. Thanks to Google an official statement or some articles are found detailing the situation in that country.

The database currently contains 180 articles as source and 129 regulation body.

Token economics insights

Usually, a percentage of the tokens is sold to ICO participants and a percentage kept for the company’s needs. The token distribution and allocation of the token is usually a chapter in the future company whitepaper. A pie chart displays how and to whom tokens will be allocated. But how much tokens are allocated (amount) and what are they used for? how much token should I spend for advisor? is 15% of all tokens too much for founder? How many company use reward pool and what is the best size?

I’m trying to answer all these questions at You can discover how much token are given for pre-sale, main sales, or reserved for particular needs across a bit less than 900 ICO!

After analyzing 896 ICO, up to 24 main categories used to describe token distribution have been identified:

advisors, airdrop, bonus, bounty, burned, community, company, crowdsale, ecommerce, foundation, founder, investors, legal, lockup, marketing, operations, pool, premined, presale, referrals, research, reserves, team

The tedious work was to get the data and map categories (people used a huge amount of synonyms: up to 1936 unique words/sentences, including typos) down to 24 categories!

Some examples:

  • crowd-sale: is, sales, crowd sale, crowd-sale, free sale, ICO round, main-ico, coinsale, coin sale, ICO token, public, …
  • bounty: ICO bounty, bug bounty, gift, bounties
  • frozen: frozen, lock-up, vesting, lockup
  • and the list goes on….

After that, graphing all these values was easy thanks to #google charts API 

I will update the data regularly, so keep visiting this page in the future.

How it was done

  • Data are stored in Google Sheet, 2190 ICO, read from Whitepapers using PDFBox.
  • A category parser read and match token distribution categories (> 1936 unique words/sentences) and their respective values
  • A category reducer reduce the number of categories to a more manageable number by mapping similar category together. E.g. Early Bird investors -> preico
  • A category analyzer can query these data using multiple category selector strategies.

What’s next?

I will improve the category reducer over time to catch more and more synonyms and increase the coverage of ICO taken into account by the category analyzer.

I plan to export the rules used in the category reducer and display them beside each pi chart soon.