HackerReposA FIELD GUIDE TO OPEN SOURCE
ProSponsor the shelf♧ 0
← Back to top all-time
EOSIO
Documentation
Learning & Reference2017–2018
EOSIO / Documentation

Documentation

EOSIO Documents

7Distinct people
10Mentions
0Explicit recommenders
2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

EOSIO Documents

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month10 dated mentions

Observed mentions: 2017-07-20 09:34:01 UTC to 2018-08-07 01:16:57 UTC.

01232017-07-01 00:00:00 UTC to 2017-08-01 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 commentsJul 20172017-08-01 00:00:00 UTC to 2017-09-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 comments2017-09-01 00:00:00 UTC to 2017-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-10-01 00:00:00 UTC to 2017-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-11-01 00:00:00 UTC to 2017-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2017-12-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2018-01-01 00:00:00 UTC to 2018-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 20182018-02-01 00:00:00 UTC to 2018-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-03-01 00:00:00 UTC to 2018-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-04-01 00:00:00 UTC to 2018-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-05-01 00:00:00 UTC to 2018-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-06-01 00:00:00 UTC to 2018-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-07-01 00:00:00 UTC to 2018-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-08-01 00:00:00 UTC to 2018-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 2018

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jul 20172017-07-01 00:00:00 UTC2017-08-01 00:00:00 UTC330
Aug 20172017-08-01 00:00:00 UTC2017-09-01 00:00:00 UTC312
Sep 20172017-09-01 00:00:00 UTC2017-10-01 00:00:00 UTC000
Oct 20172017-10-01 00:00:00 UTC2017-11-01 00:00:00 UTC000
Nov 20172017-11-01 00:00:00 UTC2017-12-01 00:00:00 UTC101
Dec 20172017-12-01 00:00:00 UTC2018-01-01 00:00:00 UTC202
Jan 20182018-01-01 00:00:00 UTC2018-02-01 00:00:00 UTC000
Feb 20182018-02-01 00:00:00 UTC2018-03-01 00:00:00 UTC000
Mar 20182018-03-01 00:00:00 UTC2018-04-01 00:00:00 UTC000
Apr 20182018-04-01 00:00:00 UTC2018-05-01 00:00:00 UTC000
May 20182018-05-01 00:00:00 UTC2018-06-01 00:00:00 UTC000
Jun 20182018-06-01 00:00:00 UTC2018-07-01 00:00:00 UTC000
Jul 20182018-07-01 00:00:00 UTC2018-08-01 00:00:00 UTC000
Aug 20182018-08-01 00:00:00 UTC2018-09-01 00:00:00 UTC101

What Hacker News says

10 sources
Will try not to reply here since it can be inflammatory (any cryptocurrency topic here HN). That's been said, can you find any mention of "messages" in this article: https://steemit.com/dpos/@dantheman/dpos-consensus-algorithm... which directly referenced as their DPoS algorithm here: https://github.com/EOSIO/Documentation/blob/master/Technical... (I am not saying these are wrong, just under-specified scheme will essentially become implementation-specified and doesn't help anyone here).
In The Byzantine Generals Problem (1982) [pdf]
IOTA fans say that IOA is scalable and capable of microtransactions. They often say that it gets faster and faster as there are more transactions, which seem to be an incredible bullshit to me. I started to read the whitepaper, but I just don't understand how it is scalable. The whitepaper goes into details about how the transaction DAG is maintained, but absolutely basic things seem to be missing: Are nodes all full nodes? Is the history stored on all nodes? Is account state stored on all nodes? There is another project which is designed specifically to be extremely scalable, called EOS (https://github.com/EOSIO/Documentation/blob/master/Technical...). Reading its whitepaper I understood how EOS is scalable pretty clearly. I cannot understand the IOTA whitepaper at all. At least not how it is scalable. Currently IOTA seems to me a projec
Read the rest
t that wants to impress people with good-sounding concepts like DAG, ternary number system, etc... but does not seem to be good engineering to me. Or at least its whitepaper is extremely poorly written and missing critical information IMHO.
In IOTA Surges Past Ripple
Not even Elon Musk on meth could write this: https://github.com/EOSIO/Documentation/blob/master/Technical... "The EOS.IO software introduces a new blockchain architecture designed to enable vertical and horizontal scaling of decentralized applications. This is achieved by creating an operating system-like construct upon which applications can be built. The software provides accounts, authentication, databases, asynchronous communication and the scheduling of applications across hundreds of CPU cores or clusters. The resulting technology is a blockchain architecture that scales to millions of transactions per second, eliminates user fees, and allows for quick and easy deployment of decentralized applications." Praise to the horned one! I could spend the rest of the day just listing the number of grotesquely hard problems that spring forth
Read the rest
fractal-like from that paragraph. A lot of them are unsolved problems in computer science and engineering, as in "armies of hackers and Ph.D candidates have not done these things." Let's just start with "blockchain architecture that scales to millions of transactions per second," or that one word horror "database." The streets are lined with the festering corpses of those who thought they would just go and build a (non-trivial) database. Grab some popcorn. A lot of dumb money is about to be vaporized.
In EOS ICO about to hit 800M USD in ETH
Read this until fully understood https://github.com/EOSIO/Documentation/blob/master/Technical... And decide For investment only outlook Token Model and Resource Usage PLEASE NOTE: CRYPTOGRAPHIC TOKENS REFERRED TO IN THIS WHITE PAPER REFER TO CRYPTOGRAPHIC TOKENS ON A LAUNCHED BLOCKCHAIN THAT ADOPTS THE EOS.IO SOFTWARE. THEY DO NOT REFER TO THE ERC-20 COMPATIBLE TOKENS BEING DISTRIBUTED ON THE ETHEREUM BLOCKCHAIN IN CONNECTION WITH THE EOS TOKEN DISTRIBUTION. All blockchains are resource constrained and require a system to prevent abuse. With a blockchain that uses EOS.IO software, there are three broad classes of resources that are consumed by applications: Bandwidth and Log Storage (Disk); Computation and Computational Backlog (CPU); and State Storage (RAM). Bandwidth and computation have two components, instantaneous usage and long-term
Read the rest
usage. A blockchain maintains a log of all messages and this log is ultimately stored and downloaded by all full nodes. With the log of messages it is possible to reconstruct the state of all applications. The computational debt is calculations that must be performed to regenerate state from the message log. If the computational debt grows too large then it becomes necessary to take snapshots of the blockchain's state and discard the blockchain's history. If computational debt grows too quickly then it may take 6 months to replay 1 year worth of transactions. It is critical, therefore, that the computational debt be carefully managed. Blockchain state storage is information that is accessible from application logic. It includes information such as order books and account balances. If the state is never read by the application then it should not be stored. For example, blog post content and comments are not read by application logic so they should not be stored in the blockchain's state. Meanwhile the existence of a post/comment, the number of votes, and other properties do get stored as part of the blockchain's state. Block producers publish their available capacity for bandwidth, computation, and state. The EOS.IO software allows each account to consume a percentage of the available capacity proportional to the amount of tokens held in a 3-day staking contract. For example, if a blockchain based on the EOS.IO software is launched and if an account holds 1% of the total tokens distributable pursuant to that blockchain, then that account has the potential to utilize 1% of the state storage capacity. Adopting the EOS.IO software on a launched blockchain means bandwidth and computational capacity are allocated on a fractional reserve basis because they are transient (unused capacity cannot be saved for future use). The algorithm used by EOS.IO software is similar to the algorithm used by Steem to rate-limit bandwidth usage.
In What Goldman Is Telling Big Money Clients About Bitcoin

MAKE YOURSELF AT HOME

A few shortcuts

/
Search the collection
?
Open this guide
Esc
Close dialogs and navigation

Your saved repositories and interests stay in this browser.