tracsio.

Changelog

Discover the latest updates, new features, and improvements to our GTM system. Stay informed about how we're enhancing your experience with Tracsio.

Chat Shows Thinking and Blocks Double Sends

Project chat now handles the assistant's busy state more clearly. Reasoning appears when the assistant is thinking, and users cannot send another prompt while a response is still being sent or streamed.

  • Assistant reasoning display: reasoning parts are rendered in chat messages, so the assistant's thinking state is visible instead of being dropped from the thread.
  • Unified busy state: local send state and assistant streaming state now feed the same chat-busy check.
  • Duplicate message prevention: the prompt submit button is disabled while a message is sending or the assistant is still responding.
  • Busy submit feedback: the submit control now shows a submitted state during sending or streaming instead of looking ready for another prompt.

Hypotheses Get Evidence Summaries

The Hypotheses page now has a real evidence layer. Founders can save evidence against experiments, see generated reports and raw results in one place, and refresh an AI summary for each hypothesis.

  • Evidence records: users can add text evidence to an experiment with a name, type, source, date, and evidence body.
  • Evidence table: each hypothesis now shows saved evidence, generated research reports, and experiment results as one timeline of validation material.
  • AI evidence summary: hypotheses can generate a concise Markdown summary of the available evidence, including pending, ready, and failed states.
  • Evidence backend: new Convex tables store user evidence and hypothesis-level evidence summaries so the evidence layer can persist across sessions.
  • Hypothesis detail view: evidence now sits next to related experiments and decisions, so validation calls are grounded in visible proof instead of only status labels.
  • Experiment detail drawer: experiment details now include generated reports, saved evidence, and result context for the selected experiment.
  • Evidence refresh flow: users can manually request a new evidence summary after adding or changing evidence.

Projects Get Collaborator Access

Project owners can now invite existing Tracsio users to collaborate by email. Shared projects appear in the project list and editors can work across project data without owning the project.

  • Collaborator dialog: project owners can open project actions from the sidebar, invite collaborators by email, and remove existing collaborators.
  • Shared project access: invited users now see shared projects in their project list with an editor role.
  • Project member records: collaborator access is tracked through project-member records, with email and account-token matching for reliable access checks.
  • Access checks expanded: project chat, experiments, feedback, ICP, public onepagers, and project queries now respect owner or editor access instead of owner-only assumptions.
  • Sidebar project actions: owners get a project action menu for managing collaborators while editors keep a simpler project list.
  • Project list roles: project list results now include whether the viewer is an owner or editor, so the UI can show the right controls.
  • Legacy editor compatibility: existing editor emails are still honored while the new project-member access model takes over.

Onepagers Can Be Claimed and Edited

Public startup onepagers can now become protected Tracsio projects. Founders can claim a generated onepager into their account, edit its public content from the workspace, and rely on cleaner PDF export.

  • Onepager claiming: after generating a public onepager, founders can either keep it anonymous or claim it into their Tracsio account.
  • Claim recovery page: account creation can continue through a dedicated claim route, so a generated onepager can still be attached after signup.
  • Project onepager workspace: claimed onepagers get a protected project page with a live public preview and project switcher.
  • Onepager editor: owners can update public basics, website, tags, generated report text, ICP copy, market-size text, hypotheses, competitor labels, quick facts, and CTA links.
  • Project seed from onepager: claiming creates a project with onboarding context, an active ICP, problem hypotheses, and solution hypotheses derived from the snapshot.
  • Sidebar navigation: Onepager becomes a first-class project section alongside Home, Customer Profile, and Hypotheses.
  • Public snapshot updates: edited onepagers refresh their searchable text, tags, website metadata, and displayed snapshot data.
  • PDF generation: onepager PDF export now captures the full rendered report with a stable white background and correct page slicing.

Idea Snapshot Becomes a Public Onepager Flow

Idea Snapshot moves from a mocked report into a generated public onepager flow. Founders can answer onboarding questions, create a validation snapshot, publish it into a public directory, and share or export it.

  • Snapshot onboarding: founders now move through a staged form for the idea, market context, problem, and validation constraints before generating a onepager.
  • AI snapshot creation: the `/api/idea-snapshot` endpoint turns onboarding answers into structured snapshot data and stores a public onepager record.
  • Public onepager directory: generated snapshots can appear in a browsable directory with search, business-type filters, newest sorting, and most-upvoted sorting.
  • Onepager detail pages: each public snapshot has its own page with the validation report, project link, related snapshots, social sharing, and PDF export.
  • Community voting: visitors can like or dislike public onepagers, with counts shown on cards and detail pages.
  • Idea Snapshot layout: the report is reorganized into clear sections for quick facts, project brief, ICP, market size, problem hypotheses, solution hypotheses, competitor comparison, and CTA.
  • Project brief section: opportunity, problem, solution, risks, and opportunities are grouped into a more readable brief instead of scattered report fragments.
  • ICP and market sections: customer profile and market size blocks are tightened so marketplace sides, market layers, and key facts are easier to compare.
  • Header and CTA polish: the report header and bottom call-to-action are adjusted to frame the snapshot as a shareable validation artifact.
  • Public report framing: the Idea Snapshot becomes a shareable startup onepager instead of only a private mock preview.
  • Snapshot card density: hypothesis, validation question, validation risk, next-move, comparison, and market-size cards get spacing and hierarchy fixes so the page scans better.
  • Project brief UI: the project brief section gets dedicated layout and icon treatment instead of inheriting less precise report-card structure.

Experiment Proposals Get Research Guardrails

AI-generated experiment proposals now have to use the right playbook and current benchmark research before they reach approval. The day also introduces a mocked Idea Snapshot page that shows the shape of a concise founder-facing validation report.

  • Experiment playbooks: each AI-proposed experiment is now tied to a matching guidance set for customer research, social content, cold email, or customer interviews.
  • Metric research step: the agent runs one current benchmark lookup before proposing an experiment, so success metrics are grounded in external context instead of guesswork.
  • Experiment metadata: proposed experiments now store the skill name, source URL, metric research query, research summary, and supporting sources for later review.
  • Idea Snapshot preview: a new `/idea-snapshot` route shows a mocked validation report with quick facts, ICP, market size, hypotheses, competitor comparison, and next-step CTA.
  • Project chat experiment flow: the agent now proposes one experiment at a time, uses project context before acting, and avoids creating experiments when metric research cannot be completed.
  • Experiment types expanded: validation work now covers market research, Reddit scaffolding, social media marketing, direct outreach, and customer interviews.
  • Tool-call visibility made explicit: project-chat tool cards are hidden unless an environment flag enables them, keeping the default chat experience cleaner.
  • Third-party notices updated: new external skill sources and research dependencies are documented in the app notices.

Hypotheses and Customer Profiles Get Their Own Pages

Tracsio adds dedicated Hypotheses and Customer Profile workspaces inside each project. Founders can now inspect assumptions, manage validation experiments, edit the active ICP, and move between project sections from the sidebar.

  • Hypotheses page: problem and solution hypotheses now have a dedicated project page with type filters, status filters, priority order, and detail views.
  • Hypothesis management: users can add, edit, delete, approve, reject, and reorder hypotheses without leaving the project workspace.
  • Experiment controls: hypotheses can receive manual validation experiments or route into chat for AI-generated experiment suggestions that go through approval.
  • Customer Profile page: each project now has a dedicated ICP page covering target company, buyer, end user, characteristics, and project context.
  • ICP editing from the page: users can update the active customer profile directly, while AI improvement still hands off to chat when a more guided rewrite is useful.
  • Project navigation in the sidebar: projects, conversations, customer profile, and hypotheses are now reachable from the main sidebar instead of being split across page headers.
  • Custom account menu: the Clerk user menu is replaced with an app-styled menu that also keeps credits visible in the same flow.
  • Project switching preserves context: changing projects keeps the current section, so a founder reviewing hypotheses or the customer profile does not get dropped into the wrong view.
  • Onboarding copy tightened: the first-run project setup copy is adjusted around the newer project and chat workflow.
  • New project generation narrowed: fresh projects no longer create solution hypotheses up front before the problem space is clear.
  • Hypotheses UI flattened: the page moves toward a quieter hierarchy with breadcrumbs, fewer shadows, and more scannable controls.

The App Consolidates Around Chat-First Projects

Tracsio completes a major consolidation around the chat-first project model. Older standalone pages, API routes, Convex modules, and workspace resources are retired so the product has one primary project surface again.

  • Legacy routes redirected home: dashboard, workspace, validation, overview, test, and lean canvas routes now send users back to the main chat-first project surface.
  • Legacy product surfaces retired: older dashboard, workspace, validation, overview, home-validation, lean-canvas, and test-page components are removed instead of being kept as parallel product paths.
  • Old API and AI wiring removed: legacy home-validation, validation-method, hypothesis-report, workspace assistant, resource-generation, and summary endpoints are removed from the app.
  • Convex backend pruned: older dashboard, home, workspace, validation, overview, resource, and generation modules are removed so backend logic matches the newer project-domain model.
  • Project creation moved into projects: the new-project dialog now lives with project components and creates a project plus kickoff chat thread in the new flow.
  • Project switcher centralized: project route header and switcher logic move into the projects area so the chat-first UI can reuse them cleanly.
  • Lean canvas schema moved under project AI: lean-canvas generation now imports from the project AI namespace, matching the newer project-domain structure.
  • Sidebar simplified: layout rules and sidebar project history are aligned with the new primary chat route instead of the older page collection.
  • Old page dead ends removed: older standalone views no longer compete with or strand users away from the current project chat experience.

Cleaner Approvals & Stronger ICP Bootstrapping

The new project chat gets a reliability pass around tool approvals, onboarding kickoff, ICP seeding, and brand color. The result is a smoother first project handoff into the co-founder chat.

  • Project chat tool cards: tool calls now render through dedicated project-chat cards, making approvals, inputs, outputs, errors, and pending states easier to understand.
  • Reusable kickoff prompt: new projects can start with a shared kickoff prompt that asks the chat to summarize the project, surface hypotheses, and recommend first steps.
  • ICP seed derivation: projects created from onboarding can now seed active ICP data, problem hypotheses, and solution hypotheses from the lean canvas.
  • Approval handling tightened: approving or rejecting agent actions now tracks pending approval IDs, prevents ambiguous button states, and keeps the UI responsive while the mutation runs.
  • Onboarding handoff refined: after onboarding, Tracsio creates the project, generates the ICP, starts a co-founder chat thread, and routes the user directly into that thread.
  • Primary brand color updated: the global primary and sidebar colors move to the green Tracsio brand tone, with matching brand utility tokens.
  • AI chat approval bugs: the approval path for project-chat tools is cleaned up so user decisions are submitted through the right mutation and reflected in the message UI.
  • New project dialog coverage: project creation paths get tests around the chat-first handoff and seeded project state.

Project Chat Becomes the Main Surface

Tracsio starts moving into a chat-first product experience. The main route now opens a project chat with streaming AI responses, reusable AI UI elements, project-aware tools, and approval flows for actions that change the workspace.

  • Project chat on the main route: the app home now opens a project-aware chat experience instead of the previous validation page.
  • Streaming project agent: chat threads can stream assistant responses backed by Convex Agent, with project context, thread storage, and live message updates.
  • AI elements library: the interface gains reusable message, reasoning, tool, prompt input, artifact, confirmation, and conversation components for richer agent interactions.
  • Generated UI blocks: chat responses can render structured project views like leads, reports, outreach copy, experiments, ICP profiles, hypothesis boards, job status, and next actions.
  • Tool approval flow: agent tools that propose experiments or hypothesis decisions can ask for user approval before changing project data.
  • Message feedback: assistant messages can receive thumbs-up or thumbs-down feedback, giving the product a path to learn from user reactions.
  • Sidebar and layout adapted for chat: the shell, sidebar navigation, and route layout are adjusted so the chat interface can function as the primary workspace.
  • Project data model expanded: new tables support project chat threads, pending actions, ICP records, problem and solution hypotheses, experiments, and chat feedback.
  • Starter suggestions refreshed: the chat now opens with prompts focused on ICP, hypotheses, validation experiments, and project evidence.

AI Overview Turns Validation Into a Page

Tracsio adds a generated project overview page that turns completed validation research into market summary, market size, ICP, and validation plan cards. The page now gives founders a clearer readout once validation work is done.

  • Project overview page: a new overview surface lets users generate a founder-ready summary from onboarding data and completed validation research.
  • Market summary card: generated overviews now include a compact summary of the opportunity, problem, solution, and supporting signals.
  • Market size and ICP cards: the overview can show TAM, SAM, SOM, target company details, buyer profile, user profile, and key customer traits in structured cards.
  • Validation plan: Tracsio can now present a recommended four-step validation path with estimates, giving the generated overview a concrete next-action section.
  • Overview generation agent: a new AI agent turns existing project and validation context into structured page data instead of asking users to assemble the overview manually.
  • Overview requires completed validation: if the project has not finished its validation overview yet, the page now points users back to validation before generating the final overview.
  • Overview layout refined: the generated content grid is adjusted so market summary, market size, ICP, and validation plan cards fit together more cleanly across desktop layouts.
  • Overview grid spacing: the generated overview layout now avoids the cramped card arrangement from the first pass.

Top-Ups Move Up & Reports Fit Better

Billing top-ups are easier to find, and the validation report preview gets a desktop layout fix. This is a small cleanup pass after the larger validation workflow landed.

  • Billing top-up card moved higher: the one-time credit top-up option is now immediately visible inside billing instead of being buried lower on the page.
  • Research report preview width: the validation report preview now keeps a sensible minimum width on desktop, making generated reports easier to scan.

Validation Becomes the Main Workflow

The validation page gains the mechanics behind market overview, direct outreach, Reddit research, and search-led content. Billing guardrails, onboarding layout fixes, and report polling cleanup make the new flow more usable end to end.

  • Validation overview: Tracsio can now generate a market validation summary with sources, market size, opportunity, competitor, product, and ICP signals before recommending next actions.
  • Direct outreach validation: the validation flow can find companies and employees, import lead data, generate outreach bundles, and analyze outcomes after a user records what happened.
  • Reddit validation: Tracsio can now find relevant subreddits and discussion threads, summarize the customer pain, and turn the results into follow-up memory for future validation work.
  • Search optimization validation: the workflow can generate keyword research, GEO opportunities, markdown content, additional posts, and outcome analysis for search-led validation.
  • Home route points at validation: the root product entry now opens the validation experience, making validation the first working surface instead of a secondary page.
  • Validation UI rebuilt around methods: direct outreach, Reddit, and search validation get clearer method tabs, empty states, headers, previews, loading states, and next-action cards.
  • Billing redirects added for zero balance: AI actions now send users toward billing when credits are insufficient instead of leaving the action in a failed or confusing state.
  • Onboarding layout refined: onboarding steps get a layout pass across idea, problem, audience, competitors, project info, and stage selection.
  • Report polling errors: validation report polling is tightened so background Tavily runs do not surface avoidable errors while research data is still being collected.
  • Validation path UI issues: tab layout, method sections, lead previews, and ready-state report views get fixes so the new workflow holds together across more states.

Onboarding Lands in the Right Place

After onboarding, new projects now land on the current home path instead of the older workspace route. The handoff from project setup into the product is shorter and less confusing.

  • Onboarding redirect updated: completed onboarding now sends users to the main home path, so the first post-setup experience matches the current product flow.
  • Standalone onboarding fallback aligned: when the standalone onboarding flow finishes or recovers from an error, it now returns to the same home entry point instead of the old workspace route.

Smoother Onboarding & a Reworked Hypothesis Dialog

The onboarding flow gets cleaned up step by step, and the lean-canvas hypothesis dialog is reworked so creating and editing hypotheses feels more reliable.

  • Onboarding flow updated: the project setup flow gets a tighter pass across project info, stage selection, and constraints, making the sequence clearer and easier to complete.
  • Hypothesis dialog reworked: the lean-canvas hypothesis dialog has been substantially restructured, which should make it easier to open, edit, and move through without odd state issues.
  • Hypothesis dialog bugs: several broken or brittle behaviours inside the dialog are addressed, especially around how it interacts with the workspace and lean-canvas pages.

Billing Top-Ups, Refinements & Lean Canvas Polish

Tracsio adds credit top-ups and updated billing pricing, introduces a refinement flow for generated validation content, and continues polishing both the lean canvas and research workflows.

  • Credit top-ups: billing now supports one-time top-ups, so you can buy additional credits when the daily allowance is not enough.
  • Refinement flow for generated content: validation outputs can now be refined instead of accepted as-is. This makes AI-generated research and analysis feel iterative instead of one-shot.
  • Evidence upload in validation flows: file uploads are now wired into the validation workflow, so supporting material can feed into generated outputs more reliably.
  • Standalone lean canvas UI refreshed: the dedicated lean canvas page gets a broader interface pass, making the canvas easier to read and interact with outside the main workspace.
  • Research and interview flows refined: the later stages of research-agent and conduct-interviews flows get several UX passes, making them easier to follow and less awkward in edge states.
  • Billing page and monthly pricing updated: the billing area now reflects the top-up model and refreshed pricing structure more clearly.
  • Sidebar logo color: the Tracsio mark now renders correctly in the sidebar instead of clashing with the surrounding UI.
  • Refine button and generated-content UI issues: several rough edges in the refinement interaction are cleaned up so the new flow behaves more consistently.
  • Favicon added: the app now has a proper browser icon instead of falling back to a generic placeholder.

Smoother Job Flows & Expandable Experiment Cards

The home experience gets a polish-heavy pass: validation jobs are broken into clearer components, experiment items become expandable, and transitions across the page feel much smoother.

  • Expandable experiment cards: experiment and validation items can now open into richer detail views without forcing you into a separate context.
  • Home transition system: the home screen now has dedicated transition logic for moving between states and layouts, making the page feel more fluid.
  • Ongoing job UI rebuilt into specialized components: each validation flow now has more tailored steps and presentation instead of sharing one oversized generic renderer.
  • Experiment item design refreshed: list items for experiments get a clearer visual structure and better open-state behaviour.
  • Research and job details cleaned up: noisy elements inside the home dialog are reduced so the important actions and information stand out faster.
  • Animation glitches and awkward motion in open job states.
  • Overflow issues when an expanded job card opened.
  • Small UI inconsistencies across experiment cards and research widgets.

Hypotheses Table, KPI Dashboard & Clearer Navigation

Tracsio gets a more usable hypotheses view, a data-backed dashboard with validation metrics, and a standalone lean canvas page that gives the product a clearer structure.

  • Hypotheses table view: the project hypotheses panel now uses a table instead of tabbed views, making it much easier to scan statuses, compare items, and understand the shape of the validation work at a glance.
  • Validation dashboard KPIs: the dashboard is now wired to the newer data model and can surface metrics and charts that reflect the actual state of project validation.
  • Standalone lean canvas page: the lean canvas now has its own dedicated page, separate from the embedded workspace version. Useful when you want to focus on the business model itself without the rest of the canvas around it.
  • Retry for failed experiments: when a validation run fails, you can now trigger it again instead of being left with a dead end.
  • Methods renamed to experiments: language across the product is cleaned up so the UI matches how users actually think about validation work.
  • Sidebar simplified: workspace-level navigation is trimmed back, which makes the app structure easier to understand.
  • Ongoing job rendering modularized: different validation flows now get more tailored rendering instead of being forced through one generic presentation.
  • Hypotheses table styling and column sizing, so the new table stays readable instead of collapsing into awkward widths.
  • Several title, description, and layout issues across the home experience.

Home Becomes the Validation Command Center

The new home view grows into a real operating surface for the project, with stage progress, customer development, AI guidance, and a full hypotheses panel all working together.

  • All project hypotheses panel: every project hypothesis is now visible in one dedicated panel. Instead of hunting across the workspace, you can review the whole validation tree in one place.
  • Stage progress panel: the home screen now shows where the project sits in its validation journey. It gives you a clearer sense of progress instead of leaving stage tracking implicit.
  • Customer development panel: interview and discovery work now has a dedicated area on home, making customer-facing research feel like a first-class part of the product.
  • AI panel on home: AI guidance is now surfaced directly on the home screen rather than hidden deeper in the workspace.
  • Home validation setup: Tracsio now has the first full validation workflow behind the new home area, including the backend plumbing needed to start, sync, and manage validation jobs.
  • Home layout upgraded: the page moves toward a structured 12x12 grid, giving each panel a defined place and making the screen feel intentional rather than experimental.
  • Ongoing job behaviour improved: long-running validation jobs now behave more predictably inside the home experience.
  • Layout issues across the home screen, including panel positioning and spacing, so the new interface holds together better as it fills up.

Interactive Lean Canvas & a New Home Preview

The lean canvas is now an interactive part of the workspace, and Tracsio starts introducing a new home view that brings hypotheses, next steps, and research materials into one place.

  • Interactive lean canvas in the workspace: the lean canvas now lives inside your project as a working node, not just a static artifact. You can interact with it directly and use it as part of the flow of building and validating an idea.
  • Home preview: Tracsio begins surfacing a new home view with hypothesis cards, next steps, and supporting context so your project has a clearer starting point than a blank canvas.
  • Resources panel: generated materials now have a dedicated home in the interface, with clearer visual treatment for different asset types like reports, scripts, and analysis.
  • Lean canvas UI refined: the first version of the interactive canvas gets a follow-up polish pass so it feels cleaner and easier to use.
  • Hypothesis report flow wired in: analysis and research routes are now connected into the product flow, making it easier to move from an idea to a written validation artifact.

Credits-Based AI Billing & Onboarding Without Login

AI usage is now metered with a credits system — every AI action spends from a daily and one-time credit balance. You can also complete the full onboarding form before creating an account.

  • Credits-based billing: AI features now run on credits instead of a flat subscription gate. Every AI action — chat messages, lean canvas generation, hypothesis generation, summaries — has a defined credit cost. Your balance resets daily if you're on an active plan, and one-time credits carry over.
  • Credit balance in the sidebar: your current credit balance is visible in the sidebar at all times. No surprises before you run an AI action.
  • Idempotent AI usage tracking: every AI request is tracked with a stable operation key. If a request fails, the credits are refunded. No charge for broken responses.
  • Onboarding without a login: you can now fill out the full project onboarding form before creating an account. At the final step, your data is saved locally and you're prompted to create an account — after which your workspace is generated automatically.
  • Billing settings page redesigned: the settings page now shows your credit balance, daily reset time, and usage history alongside your plan details.
  • Dashboard and workspace no longer gated by subscription: access to your dashboard and workspace is no longer blocked by subscription status. The credit balance governs AI usage; everything else stays open.
  • AI chat shows insufficient-credit errors: if you run out of credits, the chat panel surfaces a clear message rather than a generic error.

Video Walkthrough, Smarter Experiments & UI Polish

A guided video walkthrough is now built into the app, experiment templates have descriptions and context, and a round of UI polish touched the dashboard, billing, onboarding, and canvas.

  • Video walkthrough: a five-step guided tour is now accessible from the dock. Each step plays a short video covering canvas basics, the floating dock, experiments, tasks and resources, and project management. If you're new or handing off to someone, this is the fastest way to get oriented.
  • Experiment variant descriptions: every experiment template now shows a description explaining what it tests and why it matters. No more guessing what 'Pricing Sensitivity' or 'Value Prop' mean in context.
  • Experiment variant context: templates now include background context — a brief explanation of the experiment category's purpose. Helps you pick the right template before you build.
  • App title and logo updated: Tracsio's branding inside the app has been refreshed with a new title and logo.
  • Onboarding form cleaned up: the category, stage, and constraints steps in the new project form got a visual pass. Cleaner layout, better spacing, easier to move through.
  • Billing and dashboard empty states: when you have no projects yet, the dashboard and billing pages now show a sensible empty state instead of a broken or confusing layout.
  • Billing settings copy and layout adjusted: text and structure in the billing settings panel were tightened up.
  • Node alignment on the canvas — nodes, task cards, and generated resource cards now position and connect more predictably.
  • Expanded resource markdown height — the expanded view for AI-generated resources no longer clips content.
  • Dashboard width — the layout now fills the available space correctly.

Settings, Billing Management & a Smarter AI

Tracsio now has a proper settings area with full billing management, the AI assistant understands your entire canvas when it responds, and generated resources render in rich markdown.

  • Settings page: a dedicated settings area accessible from the sidebar. This is where you manage your account, plan, and billing — all in one place.
  • Full billing management: see your current plan, usage status, and billing history directly inside Tracsio. Past-due alerts surface automatically so you're never caught off guard.
  • Promo code support: enter a promo code at checkout and it gets applied before you pay. Useful if you're coming from a campaign or partner.
  • Workspace summarize: the AI can now generate a summary of your entire workspace — what you're building, where you are, what's open. A fast way to orient yourself or hand off context.
  • Markdown preview for generated resources: AI-generated hypotheses, tasks, and insights now render as formatted markdown inside the canvas. Easier to read, easier to act on.
  • AI assistant is now canvas-aware: when you ask a question in the chat panel, the assistant has full context of your canvas — your nodes, connections, and current state. Answers are grounded in your actual workspace, not just general knowledge.
  • Canvas layout algorithm improved: the script that positions new elements on the canvas has been reworked. Nodes land in better spots and collide less with existing content.

Dashboard, Payments & Your First Real Session

Today Tracsio became a product you can actually pay for. Payments are live, accounts are secure, and the dashboard gives you a real view of everything happening in your workspace.

  • Dashboard overview: a home screen that means something. At a glance you see your projects, recent activity, and workspace status. It's the first thing you land on after logging in and it actually tells you something useful.
  • Payments are live: you can now subscribe to Tracsio. Checkout works, plans are tracked, and access is gated properly. If you're on the alfa list, you're first.
  • App is now fully secured: every screen inside Tracsio requires an account. No more landing on empty workspace pages while signed out.
  • Cleaned up leftover navigation routes from early prototyping. Fewer dead ends, cleaner structure.
  • Removed a stray icon from the dock that had no purpose.

Canvas Works, AI Is In, Lean Canvas Generates Itself

The canvas is now persistent, the AI assistant is live inside the workspace, and when you finish onboarding, your lean canvas generates automatically. This is the core of the product starting to click.

  • Your canvas now saves: nodes and connections you create in the workspace persist across reloads. Previously your work would disappear. Now it sticks.
  • AI assistant in the workspace: the chat panel is connected and working. Ask it about your experiment, get suggestions on your GTM approach, or just think out loud. It responds in context.
  • Lean canvas auto-generation: finish onboarding, describe your product and target customer, and Tracsio generates a lean canvas for you. It's a real starting point, not a blank screen.
  • AI resource generation: generate hypotheses, tasks, and insights using AI directly inside the workspace. One click, structured output.
  • Onboarding flow for new projects: a guided flow that collects what we need to generate useful content from the start.
  • Lean canvas quality improved: we iterated on the generation several times today. Output is now structured and specific to your business, not generic startup advice.
  • Onboarding connects directly to workspace: after completing onboarding, you land in your workspace with the lean canvas already pre-populated.
  • Fixed a reactivity issue inside the workspace where the UI would get out of sync with your actual data. State updates now propagate correctly.

Accounts, Projects & Experiment Nodes That Actually Do Things

You can now create an account, set up a project, and work with experiment nodes that have real statuses, iterations, and a way to mark things done. The foundation is in.

  • Account creation and login: you can now sign up and log in to Tracsio. Sessions are secure and persistent.
  • Projects and team members: create projects, see who's on your team, and manage workspace membership from a dedicated table view.
  • Experiment nodes with statuses: every node in your experiment canvas now has a status: not started, in progress, or done. You can see the state of your whole experiment at a glance.
  • Iterations: run multiple iterations of the same experiment without overwriting previous results. Each run is tracked separately.
  • Mark tasks as done: task nodes now have a done toggle. Simple, but satisfying to use.
  • Customer discovery section: experiment canvas now has a dedicated group of node types focused on customer discovery.
  • Onboarding form rebuilt: the first version wasn't collecting the right information in the right order. We rebuilt it from scratch with a cleaner, more logical flow.
  • Project settings validation: added character limits to project name and description fields. Small thing, but important.
  • Fixed incorrect project names showing in the workspace dropdown.
  • Fixed the default redirect after login to land on the right page.
  • Resolved UI glitches caused by server and client rendering getting out of sync.