Getting started
Lupr helps you collect structured feedback, generate AI-powered improvements, and dispatch work to your issue tracker. Get up and running in five minutes.
Create a project
A project represents the idea, product, or feature you want feedback on. There are two ways to create one:
Quick start (AI-powered)
Paste a URL or describe your idea in one paragraph. AI generates the project page, structured fields, and custom feedback questions automatically.
Manual creation
Fill in the fields yourself: title, summary, problem, solution, differentiation, and risks. Full control over every detail.
Protection levels
Choose how reviewers access your project. Higher protection adds friction but protects sensitive ideas.
| Level | What reviewers see | Friction |
|---|---|---|
| None | Direct access, no gating | Lowest |
| Pledge | Good-faith confidentiality pledge before viewing | Low |
| NDA Template | Built-in one-way or mutual NDA to sign | Medium |
| Custom NDA | Your own NDA text, rendered and signed | Highest |
Invite reviewers
Add reviewer email addresses from the project detail page. Each reviewer receives a unique, cryptographically secure invite link. You can also build a reviewer pool of contacts you invite frequently.
Individual invites
Enter email addresses one at a time. Each gets a unique secure token.
Reviewer pool
Save contacts you invite often. Select from your pool when creating new invites.
Security: Invite tokens are 256-bit random values. Only the SHA-256 hash is stored in the database. Tokens cannot be reconstructed from stored data.
Collect feedback
When a reviewer clicks their invite link, they go through a structured flow:
Preview
See the project title, summary, and protection level. Decide whether to proceed.
Accept
If the project is protected, read and accept the confidentiality pledge or NDA.
View
Read the full pitch content. The page is watermarked with the reviewer's email and timestamp.
Submit feedback
Rate the idea (1-5), answer "Would you use this?", respond to custom questions, and leave written feedback.
Review results
Your project dashboard gives you a complete picture of all feedback:
Feedback list
All responses with ratings, status labels, tags, and vote counts. Filter, sort, and respond.
Analytics
Aggregate scores, rating distribution, sentiment analysis, and feedback trends over time.
Validation score
Score calculated from "Would you use this?" responses. Track user demand over time.
Invite management
Track invite status, resend, or revoke access. Full audit trail of all actions.
What's next?
Once you're collecting feedback, explore these features to close the loop:
AI Improvements
Let AI analyze feedback and suggest actionable improvements
Integrations
Connect GitHub, Linear, and Slack to dispatch work automatically
Core Loop Agents
Automate the full feedback-to-PR pipeline with governed AI agents
Embedding & API
Embed a feedback widget or build a custom UI with the REST API