Dynal Changelog

Dynal became a multilingual LinkedIn workspace

Dynal now supports a multilingual workspace experience across the authenticated app, helping international teams work in the interface language that fits them.

LinkedIn content work is increasingly global. Founders, creators, marketers, and teams need a workspace where planning, Brand DNA, drafts, tools, and account settings feel clear in their own language.

• Interface language moved into the workspace: Users can work with Dynal in supported interface languages across the logged-in product, including the sidebar, settings, workspace controls, and core app copy.
• Brand DNA became easier to use globally: Brand DNA screens now have broader localized copy, including profile context, voice and tone, audience, boundaries, visual identity, knowledge, and output language controls.
• Language switching became smoother after login: Dynal can prompt users to switch interface language after login when their browser language and saved Dynal language do not match.
• More product moments became localized: Tool forms, conversion messages, download watermark prompts, authentication flows, pricing, playbooks, and public content gained wider multilingual coverage.

Users can choose a clearer interface language, manage Brand DNA with localized guidance, generate LinkedIn posts with language-aware tools, and move through Dynal with less translation friction.

Dynal became a more complete LinkedIn content workflow

Plans, post generation, projects, LinkedIn account selection, and publishing feedback now work together in one clearer flow.

LinkedIn content breaks down when strategy, drafts, projects, and publishing live in separate places. This update moved Dynal closer to one operating desk for the full workflow.

• Planning became easier to manage: Plans, topics, post details, and generation states now feel more connected.
• Publishing became more visible: Account selection, publishing status, and feedback are easier to follow from the workspace.
• Projects became more stable: Generated content can sit inside projects and keep moving instead of ending as a one-off result.

Users can plan a direction, generate posts, manage projects, and move content toward publishing in the same workspace.

Free LinkedIn tools and public growth pages went live

Free LinkedIn tools now help users improve profiles, generate content ideas, and find their way into the full Dynal workspace.

Many users start with one clear question: is my profile strong enough, or what should I post next? Public tools let Dynal answer that question before users enter the full workspace.

• LinkedIn Profile Score: Users can analyze their LinkedIn profile and see where their personal brand can improve.
• More LinkedIn generators: Headline, post, About section, profile picture, banner, and engagement tools cover common growth tasks.
• A unified tools hub: A single tools hub gives free utilities a clearer home.

Users can get quick LinkedIn feedback, improve profile assets, generate ideas, and continue into Dynal when they need a full workflow.

Brand DNA helped AI write more like the user

Brand DNA gave Dynal a persistent way to understand voice, audience, positioning, visual style, knowledge, and boundaries.

Generic AI writing breaks trust quickly on LinkedIn. Brand DNA helps generated content stay closer to the user's point of view.

• Voice and audience: Users can define how they sound and who they are writing for.
• Knowledge and assets: Sources, visual direction, and brand materials can support more consistent content.
• Reusable writing context: A default Brand DNA can carry context across plans, chats, and projects.

Users can create a Brand DNA and use it as the context behind future LinkedIn content.

Dynal moved from AI chat into content planning and LinkedIn publishing preparation

Dynal started turning chat output into structured content production: plans, topics, drafts, previews, and publishing preparation.

A single AI answer does not create a publishing rhythm. Users need a repeatable path from idea to ready-to-post LinkedIn content.

• Plans and Topic Draft: Users can organize topics and generate posts around a plan.
• Publishing preparation: Account connection, preview, and publish-ready steps became clearer.
• Faster editing: Custom tone and quick edits help users adjust AI-generated content without restarting.

Users can create a plan, generate topics and posts, and move ideas into a clearer LinkedIn production flow.

Dynal's workspace foundations took shape

Dynal's first foundations brought together AI writing, sources, image editing, projects, LinkedIn sharing, scheduling, and public pages.

LinkedIn content work needs more than a chat box. It needs context, visuals, projects, accounts, and scheduling to live in the same product direction.

• AI writing and sources: Users could generate content, upload materials, and give Dynal more context.
• Image editing: Early image editing and visual generation tools supported richer LinkedIn posts.
• Projects and scheduling: Projects, LinkedIn sharing, calendar scheduling, and account flows created the base for a workspace.

Users could generate content, upload sources, edit images, manage projects, connect LinkedIn, and prepare scheduled publishing.