Dynal Changelog

New Project turns a LinkedIn goal into a working content system

New Project gives every LinkedIn goal a dedicated workspace, starting with the right Brand DNA and carrying the work through strategy, content planning, publishing, and review.

A content goal needs more than a collection of drafts. Founders and teams need one place to define what they want to achieve, keep their brand context intact, decide what to publish, and learn from the work over time.

• Start with the goal and context that matter: New Project begins with a LinkedIn content goal, a chosen Brand DNA, a project name, and a timezone. The workspace starts with the audience, voice, and working context that should shape the content from day one.
• Shape a Project Strategy before creating content: Each Project has a dedicated strategy layer for its goal, audience, positioning, content pillars, and posting plan. Users can turn an objective into a clearer publishing direction before they begin producing individual posts.
• Keep the working material together: Knowledge, topics, posts, project settings, and review now live around the same Project. This gives users a place to build on prior research and ideas instead of recreating context whenever they return to a content initiative.
• Move from a plan to a repeatable publishing rhythm: Projects connect the planning view with scheduled work and performance review, making it easier to turn a strategy into ongoing LinkedIn activity and see what deserves the next iteration.

Users can create a Project around a real LinkedIn objective, set the brand and strategy context once, then use one workspace to develop topics, create posts, keep a publishing rhythm, and improve the system over time.

Dynal 2.0 is your AI LinkedIn content team

Dynal 2.0 rebuilds the workspace around each LinkedIn account, connecting strategy, projects, AI conversations, content creation, scheduling, publishing, and performance in one system.

LinkedIn content gets harder to sustain when account context, ideas, drafts, and performance live in different tools. Dynal 2.0 brings them together as an AI LinkedIn content team, so context carries from direction to execution.

• A LinkedIn Space for every account: Each LinkedIn profile or company page can have its own Space for Brand DNA, strategy, projects, posts, resources, conversations, and performance. Switching accounts switches the working context too, keeping the right brand information and history together.
• Onboarding builds the content foundation with you: The new setup connects a LinkedIn account, learns how the user communicates and who they want to reach, establishes Brand DNA and content direction, and prepares the first personalized posts. Existing users can move into 2.0 while keeping their previous work.
• An Assistant that understands the current page: Ask Dynal is available across the workspace and understands the active Space, Project, Topic, or Post. AI Call helps users talk through ideas that are not clear yet, then turn the conversation into useful next content actions.
• Projects turn strategy into an ongoing workflow: Projects keep goals, strategy, topics, posts, settings, and review together. Scheduled Tasks regularly prepare publish-ready drafts, so the workflow keeps moving without starting from a blank page every week.
• Posts move from creation to publishing in one flow: Users can create and edit copy, generate or update visuals, choose a LinkedIn account and time, schedule or publish, review history, and handle common publishing failures without leaving the Post workflow.
• Dashboard and Analytics make the next step clearer: The new Dashboard brings together recommended actions, suggested topics, account status, and Growth Review. Analytics and diagnostic views add more specific performance context, helping users decide what to create, improve, or repeat next.

Users can start with LinkedIn account context and Brand DNA, then continue through strategy, conversations, projects, posts, publishing, and performance without rebuilding the workflow across separate tools.

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.