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Posts

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The Posts mind map template provides a comprehensive technical and functional breakdown of a social media feed system, specifically modeled after the Veeka platform. Covering over 200 nodes, this Posts cheat sheet details the intricate architecture required for modern social discovery apps, including UI components like Display elements and backend processes like Recommendation logic. It serves as a blueprint for product managers and developers to map out user journeys, from the initial Post uploads to complex interactions on Posts such as liking, commenting, and reporting. The template specifically addresses advanced features like collaborative filtering (user_cf and item_cf) and location-based browsing, ensuring a robust framework for content distribution and community engagement.

content creationsocial mediawriting
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このテンプレヌトを䜿うタむミング

Product Managers and UI/UX Designers

Designing the functional requirements and UI specifications for a new social media feed

Backend Engineers and Data Scientists

Architecting the backend recommendation engine and content recall logic for a discovery app

Technical Leads and Project Stakeholders

Planning a version 1.0 feature roadmap for post creation and media upload enhancements

このテンプレヌトの䜿い方

ステップ 1

Import the template file

Open the .xmind file in Xmind desktop or web to access the full 204-node structure of the Veeka Posts map.

ステップ 2

Customize the logic branches

Modify the Recommendation logic or Display elements nodes to match your specific application's technical requirements and branding.

ステップ 3

Export for documentation

Use the Xmind export feature to share the finalized post interaction flow as a PDF or PNG for your development team.

よくある質問

The template includes several sophisticated recall strategies under the Recommendation logic node, such as collaborative filtering (user_cf/item_cf), popularity-based recall (posts with like rates > 0.05), and freshness-based recall for content published within the last 48 hours.

It details a version 1.0 roadmap for media handling, including UI improvements for thumbnails, video trimming capabilities, photo editing, and advanced privacy controls like custom friends lists for post visibility.

Yes, while it references Veeka Posts, the structural logic for Tabs, Notifications, and Display elements is universal for any social discovery or feed-based application and can be fully customized in Xmind.

The Posts notifications branch categorizes alerts into in-app notifications and chat-based alerts, specifically tracking user interactions like likes and comments sorted by recency.

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