Build your own Typeform.
A complete AI build prompt for a conversational form builder with publishing and response collection. Your own code, identity, and workflow.
What your Typeform-inspired app will do
Build an original conversational form builder called Onequestion, inspired by Typeform. It is for creators collecting feedback or simple applications. The core flow is building an ordered form, previewing it, publishing it, and reviewing real submitted responses.
- Form editor: add, edit, reorder, and remove short text, long text, email, number, yes/no, single-choice, and multiple-choice questions. Configure required status and helper text.
- Flow: add welcome and thank-you screens; allow one-level conditional branching from choice questions to a later question; validate routing to prevent loops or invalid targets.
- Preview and publish: preview the exact respondent experience. Publish an immutable version behind a shareable slug so editing drafts does not silently change active submissions.
- Respondent experience: show one question at a time, validate on continue, preserve previous answers, support keyboard navigation, and submit once with a visible retry state.
- Responses: list submissions, view answers by question, show counts for choice answers, and export properly escaped CSV. Responses remain tied to the version answered.
Is a DIY Typeform alternative right for you?
A DIY Typeform alternative fits a focused collection flow where the question order and respondent experience matter. Keep branching simple and provide a useful editor preview.
A useful first project: A feedback questionnaire or application flow that asks one question at a time and exports real submitted answers.
Start with a smaller version
Build a five-question form, publish it, submit an answer, and export the response. Edit the draft and confirm that existing answers still match the version that was submitted.
Know the tradeoffs
Draft changes must not corrupt active submissions. The brief separates published form versions from editable drafts and requires a backend for real responses. Payments, file uploads, and deep logic are outside scope.
Understand the build-vs-buy tradeoffsInside the build brief
- Product & audience
- Design
- Features
- Tech stack
- Data & behavior
- Originality & asset guidance
- Delivery & verification
No account required.Official Typeform website
Building your own Typeform: useful answers
Is this a ready-to-use Typeform alternative?
This page provides a customizable build brief for a conversational form builder with publishing and response collection. It is not a hosted app. Your AI coding agent implements the software; you then need to test, run, and maintain it.
Can I customize the Typeform clone prompt?
Yes. Choose Product & audience, Design, Features, Tech stack, or Data & behavior in the editor. Save and copy the complete assembled prompt, or download it as Markdown. Edits are saved in this browser.
What does the starting version leave out?
Test required answers, email validation, moving backward, choice branching, repeated submission retries, and export after a question is changed in a later version. Do not expose responses publicly. Exclude payments, file uploads, deep conditional logic, and third-party integrations from the MVP.
Original software. Familiar inspiration.
Use your own brand, code, layout, and assets. Clone4.me is independent and is not affiliated with Typeform. Read our approach.
Curated by Clone4.me · AI-assisted build briefs · Scope reviewed October 14, 2026
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The complete Typeform clone prompt
# Build an original app inspired by Typeform
You are an experienced product designer and full-stack engineer. Build a working, polished MVP from the brief below. Implement the core journeys end to end; a static mockup is not sufficient. Inspect the current environment, make sensible implementation decisions, and get started. Ask a question only if a missing answer genuinely blocks implementation.
Starting platform: Web. Explicit customized Product & audience and Tech stack requirements take precedence over this starting target.
## Product & audience
Build an original conversational form builder called Onequestion, inspired by Typeform. It is for creators collecting feedback or simple applications. The core flow is building an ordered form, previewing it, publishing it, and reviewing real submitted responses.
## Design
Use an editor with a question outline, live preview, and settings panel. Respondents see one large readable question at a time, comfortable input controls, a progress indicator, and explicit navigation buttons. Provide original themes and accessible motion that respects reduced-motion preferences.
## Features
1. Form editor: add, edit, reorder, and remove short text, long text, email, number, yes/no, single-choice, and multiple-choice questions. Configure required status and helper text.
2. Flow: add welcome and thank-you screens; allow one-level conditional branching from choice questions to a later question; validate routing to prevent loops or invalid targets.
3. Preview and publish: preview the exact respondent experience. Publish an immutable version behind a shareable slug so editing drafts does not silently change active submissions.
4. Respondent experience: show one question at a time, validate on continue, preserve previous answers, support keyboard navigation, and submit once with a visible retry state.
5. Responses: list submissions, view answers by question, show counts for choice answers, and export properly escaped CSV. Responses remain tied to the version answered.
## Tech stack
Use the existing repository and conventions if there is one. If starting from scratch, use React with TypeScript and a practical, lightweight styling approach. Pick well-maintained libraries only when they materially help. Keep components, domain logic, and data access separate. Explain your chosen stack briefly, then begin implementation.
Follow the persistence requirements in Data & behavior. Personal tools may use IndexedDB. Products with public submission, bookings, permissions, or shared messaging require an authenticated backend with server-side authorization and durable storage. Use infrastructure already available in the environment. Do not put secrets in frontend code. If external infrastructure is unavailable, build a clearly labeled local demo, provide the schema and setup instructions, and state which shared features need configuration. Do not present simulated sharing or authentication as production functionality.
## Data & behavior
Form {id, ownerId, title, slug}; DraftQuestion {id, formId, type, label, required, options, order, branchRules}; PublishedVersion {id, formId, schema, createdAt}; Submission {id, versionId, answers, submittedAt, idempotencyKey}. Use authenticated backend storage for authors and a constrained public submission endpoint. Store draft schemas independently from published versions.
Acceptance checks and scope:
Test required answers, email validation, moving backward, choice branching, repeated submission retries, and export after a question is changed in a later version. Do not expose responses publicly. Exclude payments, file uploads, deep conditional logic, and third-party integrations from the MVP.
## Originality and assets
The named product is a reference for general workflows only. Use an original product name, visual identity, wording, layout, and assets. Do not copy proprietary code, branded logos, distinctive screens, private APIs, paid templates, or protected media. Use original or appropriately licensed sample data and assets. Build from this brief rather than scraping the reference service. Do not imply affiliation with the referenced company.
## Implementation quality
- Make every visible control work, with clear loading, success, empty, validation, and failure states. Remove controls for unimplemented features.
- Support the target platform and responsive or resizable layouts where appropriate. Use platform-appropriate accessibility semantics, labels, keyboard operation, visible focus, sufficient contrast, and reduced-motion preferences. Provide alternatives for drag-only interactions.
- Validate inputs at the relevant boundary. Treat imported or user-generated content as untrusted; render it safely. Confirm destructive actions or offer undo.
- Keep state changes reliable across navigation and reloads. Never silently lose edits. Handle persistence and network errors with an actionable message.
- Keep the scope realistic. Prioritize the complete primary journey. If a custom Features section differs from the baseline, update the data model, design, and acceptance checks to match it; explicit custom requirements take precedence over baseline assumptions.
- Provide realistic original sample content and a useful empty state. Keep sample data clearly separate from user-created data.
## Delivery and verification
1. Inspect the repository and outline the implementation in a few sentences.
2. Implement the app and connect its actual data flow. Continue until the primary journey works.
3. Run appropriate checks and test the acceptance cases above on the target platform. Verify responsive layouts and keyboard navigation when browser tools are available. For native projects, build with the available SDK and test an emulator or device when possible; report any missing native verification honestly. For games, verify the rules and gameplay loop, not only the menus.
4. Fix observed failures, then provide the runnable result, setup/run instructions, a brief explanation of what is implemented, and any specific configuration or verification limits.
This is a focused MVP. Do not add billing, AI services, or unrelated features unless explicitly requested in the brief. Start building now.
Change just what matters. Customize a section and keep the rest of the brief included.