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[OC] Which front offices and agents are the 3 major newsbreakers connected to? I went through 6000+ tweets to find out!
If this sounds somewhat familiar, that's because I did a 2019-2020 version and posted it back in March. In terms of changes from that post:
I've expanded the timeline to tweets from September 27, 2018. This is the first official day where each of Shams, Woj and Haynes were at their own respective companies. Shams moved to the Athletic from Yahoo in August, and Haynes moved from ESPN to Yahoo in September.
I've also expanded the criteria on when a tweet could possibly be linked to an agent
TL;DR Tracked tweetsof Woj, Shams and Haynes from 2018-2020 to see whether any of them report on a certain team or a certain agent's players more than their counterparts.Here is the main graphconcerning a reporter's percentage of tweets per team separated into three periods (2019 season, 2020 offseason, 2020 season). Here is aseparate graphwith the Lakers and Warriors, because Haynes's percentages would skew the first graph. During times like the NBA trade deadline or the lifting of the NBA free-agency moratorium, it’s not uncommon to see Twitter replies to (or Reddit comments about) star reporters reference their performance relative to others. Woj is the preeminent scoop hound, but he is also notorious for writing hit pieces on LeBron (sources say it’s been widely rumoured that the reason for these is that Woj has always been unable to place a reliable source in LeBron’s camp). On the other end of the spectrum, it has been revealed that in exchange for exclusive intel on league memos and Pistons dealings, Woj wrote puff pieces on then-GM Joe Dumars (see above Kevin Draper link). Last summer, Woj was accused of being a Clippers shill on this very discussion board for noticeably driving the Kawhi Leonard free agency conversation towards the team. This is the reason I undertook this project: to see whether some reporters have more sources in certain teams (and certain agencies) than other reporters. First I’ll explain the methodology, then present the data with some initial comments.
To make this manageable on myself, I limited myself to tracking the 3 major national reporters: Shams Charania of the Athletic, Chris Haynes of Yahoo Sports and the aforementioned Adrian Wojnarowski of ESPN.
I didn’t use beat reporters, as most (if not all) of their sources would be concentrated on their local team
Others that I considered but ultimately decided not to track:
Brian Windhorst of ESPN (double-dipping in ESPN)
Zach Lowe of ESPN (I consider him more of an analyst)
Marc Spears of ESPN (harder to sift through Twitter feeds, as he posts a lot more unrelated/non-news-breaking content)
Marc Stein of the New York Times (same as Spears)
Kevin O'Connor of The Ringer (same as Lowe)
The time period I initially tracked for was from January 1, 2020 to the end of the regular season March, but after finding a Twitter scraping tool on GitHub called Twint, I was able to easily retrieve all tweets since September 27, 2018. However, a month ago, Twitter closed their old API endpoints, and Twint ceased to work. I used vicinitas.io but the data loading became more time-consuming. Therefore, the tweets are up to the date of October 15 2020. How I determined information was by manually parsing text tweets by the reporter (no retweets):
This means I did not include images or multimedia appearances such as television, radio or podcasts. The rationale for this is that I simply don’t have the time to listen/watch and record all the instances of providing information through sources on these mediums.
Now, I didn’t take every single text tweet:
I didn’t include direct statements, be they from players or front office folks
I separated them, along with podcast guests in another tab
I didn’t include the summary tweet that Woj & Shams love to do: “Story filed to/Story on [employer]:..” because it doesn’t add anything apart from a link to a story (also, I personally don’t want to be called an ESPN/Yahoo/Athletic shill)
If the tweet added a reporter’s own analysis to someone else’s tweet, it was not included
If it was new information, the tweet was retained
Tweets that related solely to retired players were not included: mainly Haynes reporting Dwyane Wade joining CAA, as well as the unfortunate passing of Kobe Bryant on January 26
I grouped multiple tweets about the same subject delivered around the same time frame (such as trades) into one, as doing otherwise would arbitrarily inflate totals
There’s no hard and fast rule for whether or not to group tweets
For example, the big 4-team trade that created the Pocket Rockets was grouped in full
On the other hand, the Miami-Memphis trade was split up because the full details came like a day later
Sometimes, I used my judgment to determine whether a tweet’s underlying information would have come from a source, and therefore whether I should include that tweet or not
For example, consider the All-Star tweets: Haynes and Shams both posted the All-Star starters, but looking at the time signatures led me to believe that this was simply relaying the information from the TNT reveal
On the other hand, both Shams and Haynes posted tweets disclosing the All-Star Reserves before the TNT reveal
Next, I had to assign possible teams to each tweet:
Items such as changes to the league calendar, the naming of All-Star Reserves and salary cap projections were immediately attached to an NBA source
Injuries and trades were fairly straightforward, assigning these tweets to the participating teams
Items such as league mandated fines/suspensions, invitations to All-Star competitions and game protests were credited to both a general NBA source, as well as the related team(s)
Direct sources from agents or mentions of specific agents were attributed as a catch-all “Agent”
In the former, team was not included: examples include Matisse Thybulle’s agent on not being selected for the Rising Stars Game or Royce O’Neale’s agents confirming his contract extension with the Jazz
In the latter, team was included: examples include two Knicks switching their agent to Rich Paul
New addition: anything related to a player's status with a team were also attributed to agents (qualifying offers, extensions, option decisions, waivers, and contracts/deals)
I then found which agents correspond to which players (big shoutout to realgm.com and the Wayback Machine)
Rumours were slightly more difficult
As we know very well, league sources is an exceedingly vague term
Instead of attempting to pinpoint a rival executive with a motive to make a comment, I took the “Occam’s Razor” approach and assumed that the teams involved had someone talk to the reporter
When it was impossible to even determine a participant team, it was the general “NBA” source to the rescue
Chris Haynes has the highest percentage of tweets relating to the Detroit Pistons in all three periods. He also reports on far more Portland news than Shams or Woj.
Shams' Brooklyn edge is evident. The Athletic was also the outlet that Kevin Durant felt comfortable talking to about his positive coronavirus test. As well, Shams reported on Spencer Dinwiddie's quest to tokenize his contract (similar to bitcoin).
Adrian Wojnarowski has increased his percentage of tweets regarding the LA Clippers period-over-period, but so have the other two reporters.
It's surprising that Dallas's numbers are so low, considering they're a good team with an international superstar.
My hypothesis from my previous post is that Shams and Woj each have capable Mavericks deputies in the Tims (Cato and MacMahon, respectively) and decide to leave that market alone
Shams does have the highest percentage of Mavericks tweets in all three seasons however.
Now, you'll notice that there's two teams missing from the above graph: the Golden State Warriors and the Los Angeles Lakers. Here's the graphs for those two teams. As you can see, they would skew the previous graph far too much. During the 2019 NBA season, 27% of Chris Haynes's qualifying tweets could be possibly linked to the Warriors, and 14% of his qualifying tweets could be possibly linked to the Lakers.
Here's the top 10 agents in terms of number of potential tweets concerning their clients.
Woj has the most tweets directly connected to agents by far. It wasn't uncommon to see "Player X signs deal with Team Y, Agent Z of Agency F tells ESPN." The agents that go to Woj (and some of their top clients):
Mark Bartelstein of Priority Sports (Bradley Beal, Kyle Lowry, Gordon Hayward)
Jeff Schwartz and Sam Goldfeder of Excel Sports (Khris Middleton, Nikola Jokic, CJ McCollum and Kevin Love)
Steven Heumann and Austin Brown of Creative Artists Agency (Andrew Wiggins, Chris Paul, Donovan Mitchell and Zion Williamson)
One thing I found very intriguing: 15/16 of tweets concerning an Aaron Turner client were reported on by Shams. Turner is the head of Verus Basketball, whose clients include Terry Rozier, Victor Oladipo and Kevin Knox. Shams also reported more than 50% of news relating to clients of Sam Permut of Roc Nation. Permut is the current agent of Kyrie Irving, after Irving fired Jeff Wechsler near the beginning of the 2019 offseason. Permut also reps the Morris brothers and Trey Burke. As for Chris Haynes, he doesn't really do much agent news (at least not at the level of Woj and Shams). However, he reported more than 50% of news relating to clients of Aaron Goodwin of Goodwin Sports Management, who reps Damian Lillard and DeMar DeRozan. Here are the top 10 free agents from Forbes, along with their agent and who I predict will be the first/only one to break the news.
Most Likely Reporter
Too close to call, leaning Shams
Too close to call, leaning Shams
Alexander Raskovic, Jason Ranne
Limited data, but part of Wasserman, whose players are predominantly reported on by Woj
Thanks for reading! As always with this type of work, human error is not completely eliminated. If you think a tweet was mistakenly removed, feel free to drop me a line and I’ll try to explain my thought process on that specific tweet! Hope y’all enjoyed the research!
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You'd have to have at least one participant who has access to the paywalled content, but ideally many more than that who can all participate in tossing the content back over the paywall.
You would need to have an immutable and accessible place to put the paywalled content so that other people could point their browsers to that location and see the same content that they would if they were looking at the source.
As noted, you'd want to eliminate as much legal risk as possible. That goes for both the content "suppliers" and the content "consumers" (or, Robinhood and those he gives to).
I am not sure exactly what would happen if I just started copying and pasting paywalled content on, say, Reddit, but I am pretty sure it would catch up with me eventually because I am explicitly re-publishing. This solution would need to be so foolproof that it would put those who would otherwise enforce against it in an untenable position. So, bear with me, here's what I want to know: how flawed, immoral, antisocial, and generally lacking is the following idea? My suspicion is that it is a pretty bad idea and is also pretty naive, but it's still been fun to think about and maybe some of you would like to discuss it. I am interested in any implications that come to mind. ~ The idea: If you want to participate in this scheme, you install a browser extension. If you have access to any paywalled content, then every time you visit a page and view that content, the browser extension grabs the text and compresses it to its smallest possible representation. Next, the browser extension make the smallest possible arbitrary transaction on the blockchain (looks to be about $0.06 currently), and stores as much of the article as it can fit in the OP_RETURN field, which is basically just a blank field for arbitrary text and currently has a size limit of 256 bytes (Note: There are tons of similar ways to accomplish the same thing, any many better blockchains for this use case. I just don't really keep up with the smaller blockchains and think that we can use the Bitcoin blockchain as a simple way to demonstrate the idea). It may take a few transactions to store an entire article, but once it's part of the blockchain, it's there forever, and anyone who would want to subsequently view that article would only need to have access to the indices of the transactions and software that can de-compress the OP_RETURN values and reconstruct the article. I imagine this would also happen in the browser extension. In this way, it's a lot like private torrent trackers. Everybody shares what they have access to, and the pieces of data that comprise the underlying media fly around the network freely. The software client is responsible for piecing them together and making the data cohesive for a given end user. Today, a torrent client is completely legal, but having pirated media on your computer is not. Also, I'm pretty sure that opening your media collection to peers is also illegal, but I'm not actually sure. Using the blockchain as the storage mechanism changes the calculus a little bit. You're not storing any pirated data on your machine, rather, you are stashing bits and pieces of it in a decentralized ledger, which nobody owns, meaning that nobody is really accountable for it. It's also impossible to take down. The question of legality here is something like "are you allowed to include copyrighted works in transaction text on the blockchain?". And if not, how many chunks would the article need to be broken apart into to make it no long "The Article", but rather just pieces of arbitrary data which, if put together in the right order, would happen to reproduce "The Article"? Someone who is more knowledgable than I am would need to chime in here. ~ I wanted to get a sense of if this is even practical so I grabbed the text from a NYT article called "Opinion | No, the Democrats Haven’t Gone Over the Edge" by David Brooks. After running the text through 1000 rounds of compression I got it down to 2702 bytes. The current OP_RETURN size limit for a BTC transaction is 256 bytes, so you would need to make around 10 transactions to store this single article. And each transaction has a fee that goes to miners, which appears to be around 128 satoshis/byte according to https://privacypros.io/tools/bitcoin-fee-estimato The BTC sent in a given transaction is recoverable, because it could be sent to a wallet that is owned by the sender, but the fees are unavoidable. Given the current rate, storing a NYT Opinion article on the Bitcoin blockchain, forever, would cost about 2707 * 128 Satoshis, or roughly $37. So my immediate thought is wow that's expensive. I also know that it's frowned upon by the Bitcoin community and would be perceived as antagonistic by the miners. But my guess is that there's a better way to accomplish the same thing (again, off-chain transactions or using a totally different blockchain such as Ethereum, or BSV). In fact, in "The unfuckening of OP_RETURN", Shadders shows that one can practically store up to 100kb of text in a given BSV transaction (BSV is a fork of bitcoin, which aims to align more with Satoshi's "original" vision). The result of Shadders experiment? Well, here's the complete prequel to "Alice and Wonderland" in a single transaction, on the blockchain, forever: https://whatsonchain.com/tx/ef21e71d00b9fce174222e679640b09e29ac8a55f321c93e64b16cc3109959f8 Good thing Alice and Wonderland is in the public domain, right? Or... should it even matter what's "public" and what's "paywalled"? What do you think?
What is the oldest Node that could still connect to the network (v0.9.1)?
The oldest nodes I've found to date have been v0.9.1. Based on protocol rules and backward compatibility, what is the oldest node that would be allowed on the network? Was there something between 0.8.0 and 0.9.1 that broke older clients? I'm interested in the old clients as an educational exercise. v0.1.5 is only 20k lines and very simple to understand. v0.9.1 is 71k lines and much harder to get my head around. v0.20.1 is 200k lines and well beyond what I can simply passively study. Any thoughts on creating a bitcoin time machine? Any ideas on how to get something like that off the ground? Could I just dd the genesis block by hand for those older version and just set up a VLAN with two nodes?
Hi friends, i want to tell you about UniLend project which will be listed soon. First of all i want to tell you, Unilend team announced that CertiK has audited UFT smart contract. The blockchain security pioneer is one of the most advanced auditors in whole-chain, smart contracts, and VAPT verification in the scene. Certik's best-in-class cybersecurity experts have delivered end-to-end security audits for over 220 clients, including over 118k lines of code, and now UFT smart contracts as well. Here is the announcement by the CertiK: UniLend is a permission-less decentralized protocol that combines spot trading services and money markets with lending and borrowing services through smart contracts. UniLend Features *Permissionless listing: Any ERC20 token will be able to list without any entity controlling the listing process, making UniLend’s features accessible to every token. *Lending & borrowing: Users have the capability to unlock their token’s functionality for lending to receive an interest rate and for borrowing by paying an interest rate. *Trading: A corresponding trading pair will also operate on UniLend's platform to include decentralized spot trading functionality for platform users. *Governance: The protocol will be governed by its token holders through proposals in order to ensure adjustments to the protocol are made with a majority consensus. *Liquidity: By providing liquidity for asset trading and loans on Unilend's platform, users are able to receive fees in proportion to their liquidity pool stake. *Native Utility Token: The native utility token of UniLend will be UFT, Unilend Finance Token. The token will have multiple use cases for governance, platform utility, and much more. How is UniLend different to existing DeFi protocols? Existing DeFi solutions have left the majority of digital assets outside of the DeFi ecosystem. There are over 6000 tokens listed on coinmarketcap. However, the current platforms such as Compound, Aave, Maker DAO, and many more, support less than 30 assets.Some protocols offer lending and borrowing with a limited set of tokens while others offer the freedom to trade any ERC20 assets but neglect the lending and borrowing aspect. UniLend is bridging that gap by combining the decentralization aspect of enabling any ERC20 to be utilized as collateral for lending & borrowing whilst providing the flexibility for users to also trade their assets in-platform. Ultimately, UniLend aims to unlock the full potential of digital assets for their owners. Investors UniLend Successfully Raises $3.1M in Seed and Private Sale Rounds Amid Overwhelming Strategic Investor Support Unilend funding rounds attracted the attention of some of the industry’s heaviest hitters, including Woodstock Fund, Signal Ventures, 3Commas, Danish Chaudhry (Head of Bitcoin Exchange), Jay Putera (Partner at CryptoBriefing ), TRG Capital, BTC12 Capital, AU21 Capital, Youbi Capital, TomoChain, Bidesk, Bibox, Tenzor Capital, and Sandeep Nailwal (Co-founder of Matic Network). Tokenomics *Platform: ERC20 *Total Supply: 100,000,000 UFT *Initial Circulating Supply: 7,777,778 (7,78%) *Seed Round Price: $0,07 (25% released after 6 months, 25% after 12 months, 25% after 15 months and 25% after 18 months) *Seed Round Hardcap: $700,000 (reached) *Private Round Price: $0,12 (25% release at TGE, 25% after 3 months, 25% after 6 months and 25% after 9 months) *Private Round Hardcap: $2,400,000 (reached) *Public Sale: Interest form is cloesed,lottery done with partneeship Chainlink VFR, KYC process ongoing. (Hardcap: $150,000, oversubscription) There will be a voting for Bithumb Global Listing on October 15th - 12:00 to 16:59 (UTC+8) Conclusion UniLend protocol is working to create a new niche in the market which has been neglected and untapped by current solutions in the DeFi space. I believe team efforts will create a level playing field in the market by enabling every token to be a part of the growing DeFi ecosystem.
XMR Atomic Swaps Now Support PART | Anonymous Decentralized Marketplace Integration Coming Soon
Hey guys, Cryptoguard from Particl here. We're happy to announce that we've recently added PART atomic swap support to the xmr-btc-atomic-swap protocol on mainnet and have pushed the protocol on Particl's Github.
The ability to atomically swap XMR <> PART opens up a lot of doors for the advancement of anonymous eCommerce solutions and solidifies the sustainability and resiliency of decentralized marketplaces, a strong win for all proponents of free market, personal freedom, and self-determination. For those not aware of Particl, it is Bitcoin-based blockchain (currently 0.19.1.1, about to release 0.20) with a native currency (PART) that has a variable level of privacy (public, blind (CT), and anon (RingCT)). We've built a completely decentralized, trustless, and unstoppable marketplace where you can buy and sell anything online without using any third-party, without paying any fee (other than regular crypto transactions), and without leaving any sort of digital footprint behind. The entire marketplace experience, just like its transactions/sales, is private by default thanks to a combination of CT, RingCT, stealth addresses, Tor, SecureMessaging/BitMessage, and etc. The marketplace has been on mainnet for a year now, as an open Beta, and we're about to push our biggest update since launch—a brand new desktop application as well as a completely refactored marketplace. This will dramatically improve the user experience and the performance, making the private decentralized marketplace as user-friendly as it's ever been. We now plan on adding native XMR <> PART swap support into the desktop client and marketplace application, allowing anyone holding XMR to easily buy and sell anything on a decentralized marketplace that respects your privacy. It also ensures that you can now get in and out of Particl's ecosystem without having to go through any third-party such as an exchange or payment processor. XMR <> PART support will add a tremendous level of privacy to the marketplace and expand on what's possible to do now with Monero. Here's a mockup of what an XMR <> PART swap engine may look like in Particl Desktop's Swap module (independent module from the marketplace). WIP, not a screenshot but a mock up, final look may differ Additionally, we're equally happy to announce that we will be adding XMR <> PART support to the marketplace and Particl Desktop application as soon as Particl V3, the upcoming massive release, is out on mainnet. The integration will use both StealthEX and SimpleSwap exchanges to provide you with an easy way to swap coins before atomic swaps are pushed to the client, once ready. --- We'd like to thank everyone involved in the development of the XMR <> BTC swap protocol that made this possible, especially h4sh3d for cracking the code on how to execute an XMR <> BTC atomic swap and the Monero community for funding the research. The ability to swap XMR and BTC together is probably one of the biggest wins in crypto since the last few years, and we're super excited to see all that's going to be possible from now on. Let's keep pushing crypto forward and make it as private as it should!
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CoinPot Multiplier Tips A trick I use for the Coinpot multiplier is to have at least 1000 tokens, then run 1-5 multipliers at a time with autoroll. I set the client seed as fixed and type in my own (just type anything, ie "goldfish"). I then set my settings as:
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Bitcoin: Blockchain-Anwendung wieder im iOS-App-Store verfügbar Nachdem Apple die Bitcoin-Walletanwendung Blockchain zunächst aus seinem Softwareladen verbannt hatte, ist sie nun wieder da. Beiträge über iOS von Christoph Bergmann. Seit dieser Woche gibt es eine iOS-App für Bitcoin.de. Kunden, die auch den Express-Handel benutzen, können damit bequem von unterwegs aus handeln. An implementation of BitCoin for iOS devices (iPhone, iPad, iPodTouch). The App acts as a client and communicates using the regular RPC-JSON with bitcoind which runs on a separate thread inside an App. The wallet is thus stored on the device. History. The project was announced on April 8th, 2011. External Links. bitcoinApp project on GitHub Einen eigenen Bitcoin Client gibt es mittlerweile für alle gängigen Betriebssysteme, darunter Windows, iOS bzw. MAC, sowie Linux. Daneben lassen sich die Clients bzw. Bitcoin Wallets in die Kategorien softwarebasiert, mobil und webbasiert kategorisieren. Webbasierte Wallets bieten den Vorteil, dass Bitcoins überall zur Verfügung stehen und Bitcoins zudem nicht lokal gesichert werden ... iOS Wallets – The most popular Bitcoin wallets for iOS. Android Wallets – The most popular Bitcoin wallets on Android. Desktop Wallets – The most popular Bitcoin wallets for desktop. Now that we understand mining software and how it helps in the mining process, and you have your Bitcoin wallet and address, let’s look at different software on different operating systems. Mining Software ...
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