~hackernoon | Bookmarks (1962)

Sequels are a major part of the movie industry with many great movies featuring them. Sometimes, sequels are even teased, leaving room for potential sequels, and leaving audiences wanting more. Unfortunately, things dont always work out and we dont get the sequels, despite audiences desperately needing one.

An AI-driven solution for automating the process of filling out PDF forms using Python and large language models.

Sushira Somavarapu led a tech-powered mentorship program that increased promotion rates by 21.6%, reduced attrition, and scaled to 10,000+ employees quarterly. Using behavioral science, automation, and advanced matching, the program cut costs, improved engagement, and set a new benchmark for corporate mentorship at scale.

Bloomer mock tool can generate random mock customised data for free. No limit on number of records that can be generated. Multiple export format supported — JSON, EXCEL, CSV, XML, HTML.

I stopped overthinking and shipped my Advanced CSS Selectors Cheat Sheet. 84 organic views later, the lesson is clear: launch messy, learn faster, improve in public.

Discover how live video chat sales can use trust to boost conversions and bring personal connections back to digital marketing.

Google seems to now have two priorities in AI: integrate gen AI into interfaces where its users are and second, give tool to other passionate developers and let them build cool products using its APIs.

Bitcoin’s decentralization varies across hardware, software, consensus, and governance. The Minimum Decentralization Test (MDT) reveals centralization risks in stablecoins (USDT, USDC) and wrapped tokens (WBTC, HBTC), where single entities control issuance and governance.

The Oracle Cloud Infrastructure is one of the big cloud platforms currently available in the market together with AWS, Google Cloud, and Azure.

LLM Prompts used in a product should be treated as code rather than mere text. Treating prompts as code significantly facilitates the evolution and maturity of AI-powered products.

Geographic decentralization impacts blockchain security across all layers. Physical risks (e.g., outages, equipment loss) and legal challenges (e.g., mining bans, KYC enforcement) can compromise safety, liveness, and stability. A well-distributed network minimizes single points of failure and regulatory threats.

In this content creator economy, I feel I am not contributing, and given that I have never done it in the past, it’s really hard to get started now. Here are some baby steps that you can start with and slowly build your muscle and get better at it. Do this, Try, and Fail.

Software engineers need to prepare for interviews and stand out in the market. We hosted an “Ask Us Anything’ space for JRs and newcomers in the Software Engineering Community on X.

The economic structure of cryptocurrencies influences decentralization. Initial token distribution, ownership concentration, and secondary markets affect security, stability, and usability. Risks include market manipulation, PoS centralization, liquidity issues, and mining profitability volatility.

WOO X tackles liquidity squeeze for early-stage tokens with Swap Spotlight, offering traders access to curated assets amid rising market volatility.

Tokenomics plays a crucial role in blockchain decentralization. Initial distribution models, token ownership concentration, and secondary markets influence system security, stability, and accessibility.

Blockchain consensus mechanisms face centralization risks from mining pools, validators, and MEV attacks. Proposer-builder separation aims to reduce manipulation, but challenges remain in both PoW and PoS models, particularly in power distribution and self-healing capabilities.

Blockchain networks rely on P2P structures for decentralization, but centralization risks in network topology and node bootstrapping introduce safety, liveness, and privacy vulnerabilities. Solutions like diverse peer discovery and Byzantine resilience can mitigate these threats.

Blockchain software decentralization impacts security and stability. Overreliance on a few full node implementations risks systemic failures, while wallet vulnerabilities can lead to asset loss or theft. Diverse implementations and independent development teams enhance resilience.

This paper introduces a structured methodology to measure blockchain decentralization across multiple layers, assessing risks to security, governance, and stability. It defines the Minimum Decentralization Test (MDT) to determine whether a blockchain system is legally and functionally decentralized.

Blockchain hardware decentralization is influenced by the shift from generic to specialized machines (ASICs in PoW) and the growing reliance on cloud providers in PoS. While specialization boosts efficiency, it introduces centralization risks, including security threats, network control, and vendor-specific failures.