The hottest Implementation Substack posts right now

And their main takeaways
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The power of having the same teacher again

Granted • 3234 implied HN points • 31 Oct 23
🚌 Education Reforms Research Policy Implementation Relationships
  1. Looping, which involves keeping students with the same teacher for multiple years, has shown to have benefits like increased test scores, attendance, and decreased disciplinary incidents.
  2. Small effect sizes in looping studies may have practical significance when aggregated across many students; looping could have stronger effects on attitudes and behaviors than standardized test scores.
  3. When considering looping in education, it's important to address concerns such as potential teacher burnout, unintended consequences, and the misattribution of successful educational practices in other countries to looping.

Running Neural Networks on Meshes of Light

The Asianometry Newsletter • 1522 implied HN points • 28 Jun 23
🕹 Technology Neural Networks Energy Efficiency Implementation Challenges
  1. Human brain uses less energy than computers for similar tasks like running neural networks
  2. Silicon photonics can improve energy efficiency in running neural networks by replacing electrical connections with light-based ones
  3. Photonic meshes have potential for great power efficiency, but face challenges in accuracy and scalability

Insights from the Research Community: Plans for 2024 and Strategies for Implementation

Askwhy: UX Research, Product Management, Design & Careers • 33 implied HN points • 27 Feb 24
💼 Business Research Implementation Planning Strategy Product Management
  1. Avoid unnecessary research by understanding when it's not appropriate, like for problem-solving issues instead of validation.
  2. Prevent overcommitting by scoping projects well, building in time buffers, and looking at historical data to manage workload effectively.
  3. Enhance visibility for your UX research work by selecting the right method for your audience, sharing updates in product meetings, and knowing your stakeholders.

Compensation for Startups: Designing Your Compensation Philosophy

Lessons • 255 implied HN points • 20 Jul 23
💼 Business Compensation Philosophy Startups Performance Implementation
  1. Designing a startup's compensation philosophy is crucial when the company reaches around 50 employees.
  2. Compensation decisions impact people's lives, perpetuate bias, and affect a startup's financials.
  3. Key principles for designing a compensation philosophy include market-based pay, formulaic approach, and pay for performance.

The Learning Leapfrog In Liberia, Sierra Leone

The Future of Education • 235 implied HN points • 29 Mar 23
🚌 Education Technology Learning Implementation Affordability
  1. Using technology to personalize learning is helping children in Liberia and Sierra Leone improve reading and math skills.
  2. Implementing tablet-based learning programs can have a significant impact on education in resource-constrained countries.
  3. Affordable and sustainable solutions, like tablet-based learning, can revolutionize education systems in developing nations.
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Why and How Does Python Use Bloom Filters in String Processing?

Confessions of a Code Addict • 46 HN points • 14 Sep 23
🕹 Technology Programming Data Structures Implementation Python
  1. Python uses Bloom filters in its string data structure to speed up certain string processing functions like strip and splitlines.
  2. The unique Bloom filter implementation in CPython uses an unsigned long type to represent the bit vector, making storing and querying items more efficient.
  3. CPython determines the position in the bit vector for adding and querying characters by using the lower n-bits of the character, avoiding costly hash computations.

Compensation for Startups: Implementing and “Defending” Your Compensation System

Lessons • 58 implied HN points • 05 Aug 23
💼 Business Startups Compensation Implementation Philosophy Management
  1. When implementing a compensation system for startups, focus on simplicity to ensure sustainability.
  2. Establish centralized control to maintain the integrity of the system and avoid potential errors.
  3. Key steps for initial implementation include creating/updating leveling system, designing compensation philosophy, and mapping employees to new levels and bands.

Simula the forgotten programming language

Deus In Machina • 72 implied HN points • 02 Mar 23
🕹 Technology Programming Languages Implementation Classes Functions
  1. Simula was a significant influence on the design of languages like C++ and Java, showcasing Object-Oriented Programming concepts.
  2. Finding an implementation for Simula, like Portable Simula, can be a bit challenging but rewarding.
  3. Simula uses unique syntax like keyword-based blocks, explicit statement endings with semicolons, and different assignment operators for text variables.

How to use Machine Learning for your Small Business [Storytime Saturdays]

Technology Made Simple • 79 implied HN points • 17 Dec 22
🕹 Technology Machine Learning Small business AI Data Analysis Implementation
  1. Machine Learning can be effective for small businesses too, not just large corporations, opening up opportunities for growth and innovation.
  2. Understanding the process of implementing AI can benefit professionals across various roles, not just those directly working in AI fields.
  3. Having the right skills and knowledge about AI implementation can significantly increase your chances of success and career advancement.

Slack's Email Classification Service

Arpit’s Newsletter • 39 implied HN points • 08 Mar 23
🕹 Technology Software Data Implementation Systems Infrastructure
  1. Slack has a feature to classify emails as internal or external during workspace invitations.
  2. Slack uses heuristics like domain matching to classify emails, but may face challenges in diverse email domains.
  3. Implementing a classification service involves maintaining a table with counts and eventual consistency for accurate classification.

25/36 : 🛠️ McKinsey's Problem-solving Process

Product Mindset's Newsletter • 19 implied HN points • 16 Jul 23
💼 Business Problem Solving Analysis Presentation Management Implementation
  1. Problem-solving for Product Managers involves analytical thinking, creative ideation, and data-driven insights to address challenges and meet customer demands.
  2. Problems can be categorized as simple, well-structured, or ill-structured, with ill-structured problems being complex, having multiple solutions, and requiring higher-order thinking skills.
  3. McKinsey's Problem-solving Process focuses on starting with a hypothesis, leveraging intuition, doing efficient research, storytelling with data, prewiring for buy-in, hitting singles, and respecting time.

Step By Step Parsing of Mathematical Expressions From Scratch

Luminotes • 7 implied HN points • 21 Mar 23
🕹 Technology Mathematics Programming Algorithms Evaluation Implementation
  1. Balancing parenthesis in mathematical expressions can be achieved by using an array or stack.
  2. Identifying the correct operators, like handling "**" for power of, is crucial for parsing expressions accurately.
  3. Converting mathematical expressions to postfix notation simplifies the evaluation process, removing the need for brackets.

The extensive guide for Server-Side Tracking

timo's substack • 1 HN point • 16 May 23
🕹 Technology Data Quality Implementation Architecture Control
  1. Take control of event data by implementing server-side tracking for better data quality and faster implementation.
  2. Incorporate the development team in tracking projects from the start to achieve more effective server-side tracking implementations.
  3. Consider different strategies for implementing server-side tracking, such as close to the API layer, stream, database, third-party applications, or application code.

An Essential Guide to Webhooks

Tributary Data • 0 implied HN points • 15 Dec 23
🕹 Technology Implementation Challenges
  1. The post is about an essential guide to webhooks, explaining what they are, how they work, and challenges faced when implementing them.
  2. It includes a link to continue reading the full guide on Tributary Data.
  3. The post invites users to share the information on different platforms like Facebook, Email, and more.

Cost-Saving Machine Learning Deployment Tips!

CodeLink’s Substack • 0 implied HN points • 11 May 23
🕹 Technology Machine Learning Kubernetes Cost Optimization Implementation
  1. Deploying machine learning models on GPU cores can be costly due to server prices and lack of scalability.
  2. Using Kubernetes and KEDA for autoscaling GPU nodes can significantly reduce costs and improve scalability.
  3. Implementing cost-optimized ML on production can be achieved by using K8s and autoscaling GPU nodes, resulting in substantial cost savings.

Discrete-time first order system implementation

Only Wonder Knows • 0 implied HN points • 10 Nov 23
🕹 Technology Engineering Implementation
  1. The discrete-time first order system structure involves a combination of current and past input signals to maintain unity gain.
  2. The value of multiplying factor K in the structure determines the speed of the system's response to input changes.
  3. Implementing the filter in digital systems can involve using integer arithmetic and tricks like shifting, making it practical for FPGA or CPU implementations.

The Art of Anticipation: Embracing Seneca’s Wisdom in a World of Uncertainty

Wayne's Earth • 0 implied HN points • 26 Dec 23
📖 Philosophy Stoicism Psychology Preparedness Flexibility Implementation
  1. Seneca's philosophy emphasizes the importance of anticipating unforeseen challenges to cope with life's uncertainties better.
  2. Preparing for unexpected events can help manage emotional reactions and maintain control over circumstances.
  3. Balancing anticipation with flexibility is key - being prepared but adaptable allows for a calm and collected response to unforeseen events.

How we built the most creative hack of Arcesium Hackathon 2018

Shubhi’s Substack • 0 implied HN points • 17 Mar 19
🕹 Technology Programming Implementation UI Design Software Development
  1. Built a domain-specific language (AXL) to help domain experts write logic, reducing codebase size by 80% and time taken to write code from several days to 2-3 hours.
  2. Focused on creating a DSL with simple, English-like syntax, built-in domain knowledge, and extensibility to allow importing libraries and reusing components.
  3. Implemented the language using Python, with modules for Lexer, Parser, and Interpreter, and developed a UI called 'The AXL Playground' for easier usage by non-technical users.