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JavaScript LinkedIn

Refactoring LinkedIn Share Post Generation for a Personal Touch

This post details a small but important change in how we generate content for sharing on LinkedIn, focusing on aligning the tone with the platform's user experience.

The Goal

The primary goal was to shift the voice of automatically generated LinkedIn share posts to a first-person perspective. Since the posts are published from the user's profile, using "I" instead of third-person references

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Refactoring Database Columns for Clarity in devlog-ist/landing

In the ongoing development of devlog-ist/landing, a project focused on creating engaging landing pages, a recent refactoring effort centered on enhancing the clarity and maintainability of our data structures. Specifically, we focused on the PostResource table.

The Problem

The original PostResource table included a column labeled 'Post Reports'. This name was ambiguous and didn't clearly

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Refactoring Database

Refactoring for Clarity: Improving the Post Resource Table in Landing

This post delves into a recent refactoring effort within the devlog-ist/landing project, focusing on enhancing the structure and clarity of the PostResource table. The primary goal was to replace the 'Post Reports' column with 'Scheduled For', aiming for a more intuitive and maintainable data model.

The Initial Design

Initially, the PostResource table included a column named 'Post Reports'.

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JavaScript Node.js

Independent Control for LinkedIn Post Generation

When developing tools for content generation, flexibility is key. A recent update to the devlog-ist/landing project focuses on providing more granular control over how content is generated for different platforms. Specifically, we've decoupled the random mode setting for LinkedIn from the portfolio's random mode.

The Problem: One Size Doesn't Fit All

Previously, a single "random mode"

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Enhancing User Engagement: Implementing LinkedIn Share for Landing Pages

Introduction

We recently added a "Share on LinkedIn" feature to our landing page project, devlog-ist/landing. The goal was to increase user engagement and expand the reach of user portfolios by enabling seamless sharing on LinkedIn. This post details the implementation process, covering AI-powered post generation, direct publishing via the LinkedIn API, and considerations for different user

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Enhancements to Referral Program, Dev.to Integration, and Terms Update

Overview

This update introduces an enhanced referral program with tiered commissions, seamless Dev.to integration, and updated terms and conditions to reflect these changes.

Referral Program Enhancements

The referral program has been expanded with the addition of a dedicated landing page, complete with details about the program, commission rates, and automated tools.

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Enhancing Content Discoverability for AI

Making content easily discoverable for AI search engines is crucial for broader reach. Here's how we improved the accessibility of our tenant portfolio content.

The Goal

Our primary objective was to enable AI search engines to easily discover and consume tenant portfolio content. This involved providing machine-readable endpoints that expose content in a structured and easily parsable manner.

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