TryCase
For developers: TryCase tests your PRs with AI and returns video walkthroughs so you see changes before merging with confidence.
Built by Ben Chomsang · Freemium
TryCase is a Product Hunt listing on Launch Llama with 103 total upvotes, founded by Ben Chomsang who joined in Sep 2026, compared against 5 alternatives.
Product Hunt listing
Listing status
103upvotes
Community score
Ben Chomsang (Joined Sep 2026)
Founder
Compared against 5 alternatives
Market comparison
Launched on Launch Llama Sep 16, 2026 · #19 of 42 that day
About
TryCase is an AI QA agent that automatically tests pull requests end-to-end and reports results on GitHub. It helps developers see what happens when code changes ship, without writing or maintaining test suites. The tool works by reading code changes, identifying affected user journeys, and testing them like a real user would.
Launch Llama's Take
Based on Launch Llama data as of
TryCase has 103 upvotes, including the votes it received on Product Hunt. It has been listed on Launch Llama since September 2026. No Launch Llama members have upvoted it yet and it has no reviews yet.
TryCase is an AI QA agent that automatically tests pull requests end-to-end and reports results on GitHub. Unlike Replay, which lists writing tests automatically as a feature, TryCase states that it works without writing or maintaining test suites. Checksum AI generates and auto-heals end-to-end and API tests as standard Playwright code, while TryCase reads code changes and identifies affected user journeys to test in a browser.
TryCase vs Replay
TryCase is an AI QA agent that automatically tests pull requests end-to-end and reports results on GitHub. Unlike Replay, which lists writing tests automatically as a feature, TryCase states that it works without writing or maintaining test suites. Checksum AI generates and auto-heals end-to-end and API tests as standard Playwright code, while TryCase reads code changes and identifies affected user journeys to test in a browser.
| TryCase | Replay | Checksum AI | Mindcase | |
|---|---|---|---|---|
| What it does | For developers: TryCase tests your PRs with AI and returns video walkthroughs so you see changes before merging with confidence. | For QA teams: Replay QA explores your app, records sessions, finds real bugs, and gives your coding agent the root cause and fix before u… | For engineering teams: Checksum generates and auto-heals end-to-end tests on every pull request so your CI stays fast while coding agents… | For developers: Mindcase extracts structured web data as reliable APIs so you build with live web data without managing scraping infrastr… |
| Pricing | Freemium | Freemium | Freemium | Paid |
| Free plan | Yes, free plan | Yes, free plan | Yes, free plan | No free plan listed |
| Category | Not stated | Software Engineering | Testing and QA software | Unified API |
| Upvotes on Launch Llama | 103 | 448 | 235 | 238 |
| Listed on Launch Llama | September 2026 | July 2026 | August 2026 | August 2026 |
Key Features
- Read pull requests to identify which user journeys are affected by changes
- Test applications by opening them in a browser and clicking through journeys
- Record video walkthroughs with captions showing what the app does
- Report test results directly as GitHub pull request comments and checks
Use Cases
- Developers who want to verify visual changes and user journeys affected by code modifications
Who it is for
- Developers and engineering teams who review and merge pull requests on GitHub.
- Teams running multiple AI coding agents that open pull requests in parallel.
- QA-minded developers who want end-to-end testing without maintaining a browser test suite.
Pricing
Free tier includes 3 small or medium pull requests per month. Paid per-pull-request pricing starts at $1 for small changes, $2.50 for medium, and $5 for large. No subscription required.
TryCase at a glance
- 01What it is
- TryCase: For developers: TryCase tests your PRs with AI and returns video walkthroughs so you see changes before merging with confidence.
- 02Pricing
- TryCase pricing: Free tier includes 3 small or medium pull requests per month.
- 03Best for
- TryCase is best for developers and engineering teams who review and merge pull requests on GitHub., teams running multiple AI coding agents that open pull requests in parallel. and qA-minded developers who want end-to-end testing without maintaining a browser test suite.
- 04Alternatives
- Top TryCase alternatives on Launch Llama: Replay, Checksum AI and Mindcase.
FAQ
What can TryCase test?
Anything that runs on Linux. For a web app or anything else with a user interface, TryCase opens the real thing in a browser and works through it the way a person would, so you get a recording instead of a log. APIs, CLIs, workers and packages are exercised through their real commands. Monorepos are fine: setup finds the apps in the repository once, then every run replays that.
How does the GitHub integration work?
Install the TryCase GitHub App on the repositories you pick, public or private. After that each pull request gets its own check and a comment carrying the result. You choose the trigger: every push, or only when someone asks for it with a /trycase run comment.
Do I have to write tests first?
No. TryCase reads the pull request, works out which user journeys the change affects, and tries them. There is no browser test suite to write or maintain, and you can steer a run by replying on the pull request.
Can I use the AI I already pay for?
Yes. Connect your ChatGPT subscription through Codex, or your own OpenRouter key, and every pull request costs less: a medium pull request is $2.50 with your own AI against $6 with TryCase Auto. Claude subscription support is coming soon.
What if I do not want to connect my own AI?
Use TryCase Auto. TryCase picks and runs the model for you, so there is nothing to connect; the per-pull-request price simply includes the AI.
What comes back on the pull request?
A pass or fail verdict, a captioned video of the run, and a final screenshot. When something fails the comment says what was expected and what actually happened, so you can judge it without rerunning anything yourself.
Where does my code run, and what about secrets?
Every pull request gets its own disposable environment with 4 vCPU and 8 GB, deleted when the run ends. Give it non-production values only. Secrets are stored encrypted, are never printed into logs, chat or the pull request, and reach only the commands that declare they need them.
Will this slow my pull requests down?
No. Runs happen in their own environments alongside your CI, several at a time, and you can keep pushing while one is in flight. A new commit updates the run in progress rather than queueing behind it.
What does it cost to start?
Nothing. Every account gets 3 free Small or Medium pull requests a month and free repository setup, with no card. After that you pay per pull request from a prepaid balance, from $1 for a small change. There is no subscription.
How is a pull request priced?
By size. TryCase counts the changed source files in the diff, ignoring tests, docs, lockfiles and generated code. Up to 5 files is Small ($3 with TryCase Auto, $1 with your own AI), 6–30 is Medium ($6 / $2.50), 31 or more is Large ($12 / $5). The quote appears in the pull request comment before the run starts.
Alternatives
SpleraFor founders building with Lovable, Replit or Bolt: when your AI changes the UI, Splera suggests an A/B test, sets it up in the same chat, and tells you which version wins.
NovixFor development teams: Novix analyzes bug reports, tests fixes in sandbox, and opens pull requests so you approve patches without manual work.New on Launch Llama
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