m0wer 4 weeks ago

"We backed up Spotify (~300TB)" - Anna’s Blog https://annas-archive.org/blog/backing-up-spotify.html Original article for

Stacker News

The internet just made a 300TB copy of Spotify! \ stacker news

"Spotify’s statement stops short of confirming the scale described by Anna’s Archive. While the platform says only “some” of its audio file...

Stacker News

"We backed up Spotify (~300TB)" - Anna’s Blog \ stacker news

Original article for https://stacker.news/items/1368018

m0wer 4 weeks ago

Japan's Debt Problem Visualized - YouTube

Stacker News

Japan's Debt Problem Visualized - YouTube \ stacker news

@m0wer stacked 54 sats posting https://www.youtube.com/watch?v=Njp8bKpi-vg

m0wer 4 weeks ago

AdNauseam: The Browser Extension That Fights Back by Clicking Every Ad

AdNauseam - Clicking Ads So You Don

A browser extension that clicks on every blocked ad to fight advertising surveillance.

AdNauseam is a privacy tool built on uBlock Origin that automatically clicks on every blocked ad, poisoning ad networks' tracking data with noise. By creating an omnivorous click-stream, it renders user profiling and targeted advertising futile. It's obfuscation as protest—fighting surveillance capitalism by making tracking data worthless. Banned by Google, recommended by Firefox, and free to use.

Stacker News

AdNauseam: The Browser Extension That Fights Back by Clicking Every Ad \ stacker news

AdNauseam is a privacy tool built on uBlock Origin that automatically clicks on every blocked ad, poisoning ad networks' tracking data with noise. ...

m0wer 1 month ago

Analyze JoinMarket Bitcoin CoinJoin transactions using ILP.

GitHub

GitHub - m0wer/joinmarket_analyzer: Analyze JoinMarket Bitcoin CoinJoin transactions using ILP.

Analyze JoinMarket Bitcoin CoinJoin transactions using ILP. - m0wer/joinmarket_analyzer

# JoinMarket Analyzer: Understanding CoinJoin Change Outputs I've released a tool called **joinmarket-analyzer** to match inputs and change outputs in JoinMarket transactions, identifying who the taker was. **Goal:** The purpose is **not to spread FUD**, but to raise awareness. It's crucial to understand that this analysis **only affects change outputs**. The equal-amount outputs—which provide the actual privacy in a CoinJoin—remain indistinguishable. The tool uses Integer Linear Programming (ILP) to match inputs with their respective changes and determine which participant is the likely "Taker" (the one initiating the transaction and paying fees) and which are the "Makers" (liquidity providers earning fees). ## Example Usage You can run it easily with Docker: ```bash docker run --rm ghcr.io/m0wer/joinmarket_analyzer:master \ 0cb4870cf2dfa3877851088c673d163ae3c20ebcd6505c0be964d8fbcc856bbf \ --max-fee-rel 0.001 --max-solutions 1 ``` ## Results The tool outputs the probable structure of the transaction: ``` ... Taker: Participant 4 (pays 21,368 sats) 💰 Participant 1 (maker) Inputs: [0] Outputs: Equal=6.3M sats, Change=113M sats Fee receives: 458 sats ... 🎯 Participant 4 (taker) Inputs: [4] Outputs: Equal=6.3M sats, No change output Fee pays: 21,368 sats ... ``` [View this transaction on mempool.space](

The Mempool Open Source Project®

Explore the full Bitcoin ecosystem with The Mempool Open Source Project®. See the real-time status of your transactions, get network info, and more.

) ## Future Possibilities This tool lays the groundwork for more advanced privacy research: * **Entropy Evaluation:** Measure how "ambiguous" change outputs are. If multiple valid solutions exist, the Taker is harder to pinpoint. * **Algorithm Design:** Evaluate and improve taker algorithms to intentionally create ambiguous change structures. * **Market Stats:** Analyze historical CoinJoins to gather statistics on fee limits used by takers and earnings by makers. Check out the code and contribute: https://github.com/m0wer/joinmarket-analyzer

Stacker News

Analyze JoinMarket Bitcoin CoinJoin transactions using ILP. \ stacker news

JoinMarket Analyzer: Understanding CoinJoin Change Outputs I've released a tool called joinmarket-analyzer to match inputs and change outputs in Jo...

m0wer 3 months ago

Primexz/lndnotify: ⚡️ LND Lightning Notification Client

GitHub

GitHub - Primexz/lndnotify: ⚡️ LND Lightning Notification Client

⚡️ LND Lightning Notification Client. Contribute to Primexz/lndnotify development by creating an account on GitHub.

A notification system for Lightning Network nodes that monitors and notifies about important events. This project is heavily inspired by balanceofsatoshis, but with the aim of offering much greater customisation and a wider range of notification destinations.

Stacker News

Primexz/lndnotify: ⚡️ LND Lightning Notification Client \ stacker news

A notification system for Lightning Network nodes that monitors and notifies about important events. This project is heavily inspired by balanceofs...

m0wer 4 months ago

OCEAN mining pool update: https://xcancel.com/ocean_mining/status/1961071690483442024

m0wer 4 months ago

Computer User Iceberg

m0wer 5 months ago

Tech vs. Media: Balaji Srinivasan on the Battle Shaping Our Future - YouTube What really caused the breakdown between tech and media—and what comes next? In this episode, Erik Torenberg sits down with Balaji Srinivasan (entrepreneur, investor, and author of The Network State) to explore the long-building conflict between Silicon Valley and legacy journalism. Balaji explains how the collapse of traditional media business models gave rise to political capture, clickbait, and adversarial coverage of the tech industry. They discuss why “going direct” is no longer optional, how tech became the villain in establishment narratives, and what it would take to build a new truth infrastructure—from decentralized content creation to cryptographic verification. This episode dives deep into power, distribution, and the future of media, with a signature mix of historical insight, social analysis, and Balaji’s forward-looking frameworks. Timecodes: 00:00 Introduction: State vs. Network and the Media Landscape 01:05 The Collapse of Newspaper Revenue and Rise of Tech 02:45 Media, Wokeness, and Political Realignment 07:00 The State vs. Network Framework Explained 13:00 The Power Structure of Media Institutions 18:00 The Role of Distribution and the Scarcity of Attention 23:00 Social War: Red vs. Blue America and the Internet 30:00 Cancel Culture, Social Media, and Institutional Capture 37:00 Building Direct Distribution: Advice for Technologists 44:00 Individual vs. Institutional Media: The Rise of Creators 50:00 Decentralized Truth: Crypto, Blockchain, and the Ledger of Record 57:00 The Future of Democracy and Media in a Networked World 01:02:00 Tech Envy and Media’s Obsession with Control 01:05:47 Woke Media Tactics: From CIA Playbook to Cancel Culture 01:11:00 The Journalists Who Helped Build Communism 01:14:51 Aid vs. Investment: Redefining Global Help 01:21:14 Advice for the Next Generation of Builders 01:22:28 From Reaction to Creation: Building Better Media 01:25:02 The Ledger of Record: Blockchain as Truth Infrastructure 01:28:02 Why Commentary Alone Isn’t Enough 01:31:26 AI, Robo-Journos, and Russell Conjugation 01:34:32 Media Hypocrisy: NYT vs. NYT 01:37:58 New Media Needs New Truth Standards 01:42:00 Conclusion: Reclaiming Democracy and Truth