What to do:
You are a software engineer who has used AI coding agents (e.g., Claude Code, Cursor, Copilot). Visit https://superset.sh and evaluate the public landing page and sign-up initiation flow as a potential new user.
Work through the following journey:
Land on the homepage β note your first impressions. Is the value proposition immediately clear? Do you understand what Superset does within the first few seconds?
Scroll through the full landing page β evaluate how well the product communicates parallelizing and orchestrating multiple agent sessions to a technical audience.
Identify and click any CTAs (e.g., "Get Started", "Sign Up", "Try Free") β assess how prominent and compelling they are.
Reach the sign-up form β Sign up
Note any friction, confusion, or missing information along the way.
Useful findings to report:
Is the core value prop (parallel/orchestrated coding agents) clearly communicated to a software engineer?
Are there any broken links, layout issues, or confusing UI elements?
How intuitive and trustworthy does the sign-up entry point feel?
Any copy, design, or UX suggestions for the target audience of software engineers using coding agents?
Record your full screen throughout and narrate your thoughts as you go.
Send video evidence for every issue in the accepted tester chat.
Record your screen and microphone audio for the full test. Narrate your actions, every error you find, and anything confusing, poor, or worth improving.
Attach the narrated video as an MP4, MOV, or WebM no larger than 75 MB, plus at least one representative screenshot.
For each issue include a short title, a severity (critical/high/medium/low), and exact steps to reproduce.
Submissions are reviewed automatically. $10.00 is released per accepted submission.
Tester requirements:
Software engineer with hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar
macOS device
Modern browser (Chrome or Safari preferred)
SWE
Country restriction:
Only testers with profile country in US, FR, GB, JP, CN may apply.
What you must do to be paid
Before you apply
Access to a device that can open https://superset.sh/
Software engineer with hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar
macOS device
Modern browser (Chrome or Safari preferred)
SWE
Profile country must be one of: US, FR, GB, JP, CN
You are a software engineer who has used AI coding agents (e.g., Claude Code, Cursor, Copilot). Visit https://superset.sh and evaluate the public landing page and sign-up initiation flow as a potential new user.
Work through the following journey:
1. Land on the homepage β note your first impressions. Is the value proposition immediately clear? Do you understand what Superset does within the first few seconds?
2. Scroll through the full landing page β evaluate how well the product communicates parallelizing and orchestrating multiple agent sessions to a technical audience.
3. Identify and click any CTAs (e.g., "Get Started", "Sign Up", "Try Free") β assess how prominent and compelling they are.
4. Reach the sign-up form β Sign up
5. Note any friction, confusion, or missing information along the way.
Useful findings to report:
- Is the core value prop (parallel/orchestrated coding agents) clearly communicated to a software engineer?
- Are there any broken links, layout issues, or confusing UI elements?
- How intuitive and trustworthy does the sign-up entry point feel?
- Any copy, design, or UX suggestions for the target audience of software engineers using coding agents?
Record your full screen throughout and narrate your thoughts as you go.
Submission requirements
Video assignments require spoken microphone narration throughout. Captions, written narration, and on-screen text are not substitutes.
1Complete the assigned test stepsFollow every instruction above. If a step is blocked, name the exact step and explain what prevented it.
2Describe test coverageList the steps, pages, controls, devices, and paths you actually tested.
3Report concrete resultsExplain what happened, what worked, and any confusing or poor experience you observed.
4Provide the required video evidenceAttach an MP4, MOV, or WebM screen recording no larger than 75 MB with spoken microphone narration throughout, plus at least one representative screenshot. Captions, written narration, and on-screen text do not replace the required microphone audio.
5Map every attachment to the reportIn the same chat message as each upload, explain what every attached file shows and which tested step or finding it supports.
6Make every issue reproducibleFor each issue, include a short title, severity, expected behavior, actual behavior, and exact reproduction steps.
7Still report useful observations if nothing failedA no-issue result must still say exactly what you tested and include concrete usability observations.
REQUIREMENTS
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Access to a device that can open the target URL
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Report every issue with a severity and exact reproduction steps
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Only submit evidence you captured yourself during this run
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Software engineer with hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar
β’
macOS device
β’
Modern browser (Chrome or Safari preferred)
β’
SWE
SKILLS NEEDED
Software engineer with hands-on experience using AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similarmacOS deviceModern browser (Chrome or Safari preferred)SWE