A project that turns ads into bitcoin donation solicitations when adblockers are enabled.Turns Install directly from Wordpress Plugin Directory Thesis of this project is that publishers that have a loyal following might be able to get close to PPC unit economics with bitcoin donations.While we are building relationships with publishers to test this thesis empirically, I've conducting a rather-unscientific poll suggesting that a small sample of users would be willing to pay for ad-free content, but not if they are forced: Special thanks to these guys, who did much of the work and upon whom this project is based: //adblock-to-bitcoin/demo.html Demo code is tested with Adblock Plus and uBlock on Google Chrome on a Mac.Any other combinations, use at your own risk (and this is open source software, feel free to submit PRs).Contact @owocki on twitter.If there is enough interest, I will set up a google group for the project.You can donate to the author at 1A3KJ7f3YAS9jvhPjotLEzEMd1dNKZ9EPE.

Suggested donation for use on your ad-supported site: 0.045 BTCOn April 1st 2017, Reddit unleashed /r/place to the world.I like to think of it as a modern art experiment.A user could change the color of a single pixel on a canvas every 5 minutes.This is what came out of it: A similar experiment happened in 2005 when a student sold pixels on a canvas to fund his university education.litecoin http poolIt was dubbed The Million Dollar Homepage.iphone bitcoin wallet reviewMore on that here.bitcoin stock market tickerThe experiment starts with a 100x100 grid, each pixel having 16 BTC addresses attached to it, one for each possible color.litecoin mining package dogecoin

The address with the most bitcoin received, decides the color of the pixel.Let’s look at the pixel at coordinates [45,52].The green color of that pixel has the address 1Fdi1pTd4rhUyDVtFPmCzTXpdVaxYKPzFi and a balance of 0.01 BTC.Out of all the colors which correspond to that pixel, green has the most BTC received so the pixel is green.ethereum log chartIf you would like to make it red, you would need to donate so the red address has more balance than the green balance.bitcoin on 4chanI was really curious about using the blockchain as a database.true poker bitcoinI guess I found a way :) How does it work?bitcoin faucet automaticOn a server, I am running bitcoind in prune mode, I pre-generated the addresses for each pixel and labeled them.bitcoin bronx

A cronjob asks the bitcoind through the RPC interface for the balance of each pixel and computes a JSON file and an image.These 2 output files are than transferred to a server which serves cryptoplace.For the frontend, I am using Leaflet and imgViewer2.After experimenting I think I would have been happier if I implemented the UI from scratch - although the libraries saved me a lot of time.The code is open source, you can find it here.Would you like to see support for other crypto currencies?I am happy to answer any question you might have.Go ahead, you can draw anything!https://ofek.github.io/bit bitcoin python libraries cryptocurrencies payments commits branches releases Fetching contributors MIT Latest commit 2b890e1 May 10, 2017 upgrade pip Permalink README.rst Bit: Bitcoin made easy.Bit is Python's fastest Bitcoin library and was designed from the beginning to feel intuitive, be effortless to use, and have readable source code.

It is heavily inspired by Requests and Keras.Bit is so easy to use, in fact, you can do this: Here is the transaction https://blockchain.info/tx/9f59f5c6757ec46fdc7440acbeb3920e614c8d1d247ac174eb6781b832710c1c.Features Python's fastest available implementation (100x faster than closest library) Seamless integration with existing server setups Supports keys in cold storage Fully supports 25 different currencies First class support for storing data in the blockchain Deterministic signatures via RFC 6979 Access to the blockchain (and testnet chain) through multiple APIs for redundancy Exchange rate API, with optional caching Optimal transaction fee API, with optional caching Compressed public keys by default Multiple representations of private keys; WIF, PEM, DER, etc. Standard P2PKH transactions If you are intrigued, continue reading.If not, continue all the same!Installation Bit is distributed on PyPI as a universal wheel and is available on Linux/macOS and Windows and supports Python 3.5+ and PyPy3.5-v5.7.1+.

pip >= 8.1.2 is required.Documentation Docs are hosted by Github Pages and are automatically built and published by Travis after every successful commit to Bit's master branch.Credits Logo courtesy of https://textcraft.net Gregory Maxwell (Bitcoin core dev) for teaching me a bit of ECC math arubi in #bitcoin for helping me understand transaction gotchas fuzeman for bestowing me the name bit on the Python Package IndexMáme tu ďalšiu digitálnu menu, ktorá si získava srdcia a hlavne peňaženky nadšencov kryptomien po celom svete.Based on casual observation, the crowd at HackerNews seems to be totally obsessed with Bitcoin and it seems to be reaching a fever pitch.What better way to look at the HN Bitcoin obsession than with a visualization?In this post we’ll use InfluxDB and Rickshaw to create a visualization of the number of posts with Bitcoin in the title on HN.InfluxDB has a straightforward and snappy HTTP API that makes it easy to pull your time series data out in real-time for use in user interfaces and visualizations.

This makes it a great pairing with D3, a data visualization library written in JavaScript.First, we need to load InfluxDB with the data of Bitcoin posts over time.We’ll use an open Hacker News API to get a list of the last 1,000 posts containing the phrase bitcoin in the title.Here’s a quick ruby script that also leverages the InfluxDB rubygem for writing data into the database: If you don’t have a local installation of InfluxDB handy, head on over to our InfluxDB Playground and create a free database to experiment with.Once we have our data available, we can turn to the fun part – visualization.To make things easier, we’re going to use a wrapper for D3 called Rickshaw, which was written by the gang over at Shutterstock.We’ll just use the InfluxDB Javascript Library to fetch the data, and then feed that right into a simple line chart in Rickshaw.Since InfluxDB lets us easily query the time series data, all we need is a simple transformation and then it’s ready to feed directly into Rickshaw.