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WeMAIde Content Operator

A local-first workspace for multi-platform content

Productivity
Social Media
Artificial Intelligence
Visit WebsiteSee on Product Hunt

Hunted byAlex WemaideAlex Wemaide

Turn verified brand knowledge into platform-native drafts for LinkedIn, X, Threads, Telegram, Instagram, and Facebook. Create with AI or add finished copy, review every version, track Draft, Ready, Scheduled, and Published states, and plan it in a local editorial calendar. Built for Windows with local workspace data and human approval at every step. Live social publishing is not enabled in this milestone.

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Hi Product Hunt 👋 I’m Alexandr from WeMAIde, and we built Content Operator because our content workflow had become a collection of prompts, documents, browser tabs, and mental reminders. Generating text was not the main problem. The difficult part was keeping the operation reliable: - Which product facts are approved? - Did an AI draft introduce a claim we cannot support? - How should the same idea change for each platform? - Which version was actually reviewed? - What is ready, scheduled, or already published? - What happens if someone edits a scheduled post? WeMAIde Content Operator brings that workflow into one local-first Windows application. It separates context into three clear layers: 🧭 Brand Profile — positioning, audience, tone, goals, and communication boundaries. 📚 Knowledge — imported local files and folders containing verified product and project information. 📝 Notes — direct facts or instructions that matter for the current content task. From that source material, the application can prepare independent drafts for LinkedIn, X, Threads, Telegram, Instagram, and Facebook. Each version can have its own language, length, CTA, hashtag preference, visual direction, status, and calendar position. The current workflow uses four visible states: Draft, Ready, Scheduled, and Published. If a scheduled draft is edited, it is removed from the calendar and must be reviewed again. Approval belongs to the version that was reviewed — not permanently to the title. Content Operator also supports manual content creation, search, version history, a recoverable archive, controlled deletion, and a working local editorial calendar. The workspace stays on the Windows computer, credentials use Windows secure storage, and selected context is sent directly to the configured OpenAI provider through the Responses API with store: false only when generation is requested. An important note about this milestone: social OAuth, automatic publishing, background retries, and final image rendering are not enabled yet. We are validating the full knowledge → creation → review → scheduling workflow before connecting external accounts. We would especially value feedback from founders, content operators, agencies, and small product teams: 1. Which part of your multi-platform workflow creates the most friction today? 2. What would you need to trust scheduled automatic publishing? 3. Would you prefer a local-first desktop tool or a shared cloud workspace for this kind of system? Thanks for checking out what we’re building. I’ll be here to answer questions and share what we learn. — Alexandr, WeMAIde

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About WeMAIde Content Operator on Product Hunt

A local-first workspace for multi-platform content

WeMAIde Content Operator was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #51 on the daily leaderboard. Turn verified brand knowledge into platform-native drafts for LinkedIn, X, Threads, Telegram, Instagram, and Facebook. Create with AI or add finished copy, review every version, track Draft, Ready, Scheduled, and Published states, and plan it in a local editorial calendar. Built for Windows with local workspace data and human approval at every step. Live social publishing is not enabled in this milestone.

WeMAIde Content Operator was featured in Productivity (661.2k followers), Social Media (89.4k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 309.8k products, making this a competitive space to launch in.

Who hunted WeMAIde Content Operator?

WeMAIde Content Operator was hunted by Alex Wemaide. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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