Developer Builds Free Automated Social Media Pipeline Using Make.com and AI

·1 views

A developer has built and tested an end-to-end social media post automation system using entirely free tools including Make.com, Hashnode, Google AI Studio, Buffer, and Dev.to. The pipeline centralises content on Hashnode and distributes it across platforms, with Google AI Studio adding hooks and tags to improve engagement and reach. Because Make.com dropped native X (Twitter) integration following policy changes, Buffer was added as a workaround to cross-post content there. Key challenges included free-tier usage limits on each tool, X's short character cap, and Hashnode's GitHub Actions integration becoming a paid feature. The developer plans to publish posts weekly, treating the content as a personal learning journal while exploring future improvements such as custom GitHub Actions workflows.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

OpenAI's Head of Ethics Chloé Bakalar Departs, Raising Questions

Chloé Bakalar, who served as OpenAI's Head of Ethics, has left the company, prompting discussion about the circumstances of her departure. Her exit has drawn attention given the critical nature of her role overseeing ethical standards at one of the world's most prominent AI organizations. The departure raises broader questions about OpenAI's commitment to ethics leadership amid rapid product development. Details surrounding the exact reasons for her leaving have not been fully disclosed publicly.

0 comments Read more at Hacker News

ProgrammingDEV Community ·

Limen library enables multi-tenant auth with org roles and scoped data in Go

A new developer guide demonstrates how to build multi-tenant authentication in Go using the open-source Limen library and its Organization plugin. The setup allows a single user to belong to multiple organizations, each acting as an isolated tenant with its own members, roles, invitations, and project data. Developers can define tenant-scoped roles such as owner, admin, and member, alongside app-specific permissions like project:create. The guide uses Go 1.25+ and PostgreSQL, with optional Node 20+ support for frontend integration. A protected API endpoint is built to enforce permission checks before allowing tenant-scoped actions such as creating a project.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Solo Maintenance Tech Builds Custom Tool to Manage Seven Sites and Service Trucks

A single maintenance technician responsible for seven business locations — including a dealership, body shop, parts warehouse, and five auto parts stores — built his own digital management system after commercial work order software failed to meet his needs. Work requests previously arrived through informal channels like personal texts and verbal mentions, with no central record for tracking or follow-up. The custom tool allows anyone at any location to submit a problem report without an account, while all requests funnel into one dashboard for the technician. It also tracks scheduled maintenance and manages parts inventory separately for each physical site and each service truck, preventing the technician from arriving at a job without needed supplies. A key design choice was keeping truck inventory visible only on the back end, so public report forms show only the seven physical locations, reducing confusion for staff submitting requests.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer builds FRIDAY, an agentic Android AI assistant with memory and permission controls

A developer is building an Android AI assistant called FRIDAY, designed to go beyond simple chatbot functionality by incorporating memory, tool use, and permission-aware action execution. Unlike basic LLM interfaces, FRIDAY uses a layered architecture where the language model is just one component, surrounded by systems for context retrieval, intent routing, and policy enforcement. The assistant is designed to selectively remember information rather than storing everything, and to route user requests through specific tools rather than granting the AI unrestricted device access. A permission layer evaluates proposed actions before execution, distinguishing between low-risk tasks and sensitive operations that require user approval or are outright blocked. The project also explores when web search is genuinely needed versus when the model's existing knowledge is sufficient, aiming for controlled rather than maximum autonomy.

0 comments Read more at DEV Community