Autonomous QA — always on

Every bug ends up in the web.

QA Spider tests your product the way users break it — every page, every flow, every API endpoint, on every deploy. Regressions die in staging, and confirmed bugs land where your team already works — not in a report nobody reads.

Free · no signup · a coverage plan in seconds

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How it works

The loop that ends 2 a.m. hotfixes.

  1. 01

    Your product

    A URL and staging credentials. No SDK, no code access, nothing to install.

  2. 02

    The spider crawls & tests

    Every page mapped, every flow driven in a real browser, every API endpoint checked — re-run on each deploy.

  3. 03

    Your team gets pinged

    Failures land in Slack, Discord or Telegram the minute they happen — with a screenshot and a trace, not a log dump.

  4. 04

    Bugs file themselves

    Confirmed bugs become deduped tickets in Jira, Azure DevOps, ClickUp, Linear or GitHub — with repro steps attached. Devs just fix.

  5. 05

    Fixes get retested

    When the fix ships, the spider re-runs the exact scenario, confirms it, and locks it in as a permanent regression guard.

Step 05 loops back to 02 — every fix becomes a guard, forever.

Why teams switch

A QA engineer that never sleeps, never skips a case, never forgets to file.

01 / UI

Tests like your users

Real browser sessions against your real app — sign-up, checkout, uploads, the weird edge cases. If a user can click it, the spider covers it.

02 / API

Tests beneath the UI

REST and GraphQL contracts, auth boundaries, error codes and response shapes. Backend regressions get caught even when the frontend still looks fine.

03 / Ship

Fewer bugs reach production

Every deploy re-runs the whole suite. The regression that would have paged you at 2 a.m. dies quietly in staging — with a screenshot, a trace and repro steps attached.

04 / File

Bugs file themselves

The ticket writes itself: deduped, with repro steps, a screenshot and a trace, straight into Jira, Azure DevOps, ClickUp, Linear or GitHub. Your developers do the only part that needs a human. The fix.

Who it’s for

Built for the business. Loved by devs and QA.

For the business

Ship faster, without the risk

  • Fewer production incidents — quality you can put in front of customers
  • A full QA function at a fraction of the headcount cost
  • Coverage you can show auditors, partners and your board

For engineering teams

Ship without the regression tax

  • No test suite to write or maintain — the spider does both
  • Deploy-time feedback in minutes, not a QA cycle later
  • Production incidents drop because staging catches them first

For QA engineers

Automation that works for you, not instead of you

  • Test cases drafted from a real crawl of the product — you review, not write
  • Automation and self-healing handled; you own coverage strategy
  • More time for exploratory testing and the judgment calls tools can’t make

From the web — last 90 days

Bugs stopped reaching production. The web caught them first.

Bugs caught

1,204

Flows covered

81%

Prod incidents

−72%

Median time to file

3.4 min

Aggregate across active suites · illustrative

Works with your stack

Nothing new for your team to learn. The spider files, alerts and reports into the tools you use today — and a custom adapter covers anything with an API.

Files bugs into

  • Jira
  • Azure DevOps
  • ClickUp
  • GitHub Issues
  • Linear

A confirmed regression lands as a deduped ticket in the tracker your team already lives in.

Alerts your team in

  • Slack
  • Discord
  • Telegram

Failed run or freshly filed bug — the message arrives where you already talk, with the link.

Runs against

  • GitHub Actions
  • REST & GraphQL
  • Web3 wallets
  • EVM testnets
  • Anything with an API

Your real app and its real API — on the CI you already deploy with.

Pricing

A QA team for less than a QA hire.

Hatchling

$0

See what it finds on your product.

  • 1 project
  • AI-generated smoke suite from your live pages
  • Run any test on demand
  • Full run reports with screenshots

Spiderling

$290/mo

One product, a nightly safety net.

  • 1 project · smoke + core user flows
  • Nightly automated runs
  • Bugs filed to your tracker — Jira, ADO, ClickUp, GitHub or Linear
  • Write your own tests in the visual editor
  • Describe a test in plain English and get it generated
  • Monthly coverage report

Orb Weaver

Most teams

$990/mo

For teams shipping daily.

  • 3 projects · full UI + API regression coverage
  • Runs on every deploy, up to 8 scheduled runs a day
  • Everything in Spiderling, plus:
  • Chat alerts in Slack, Discord or Telegram
  • AI failure triage — flaky test vs real bug, and flaky-locator healing
  • A QA engineer from our team sets your suites up
  • Coverage growth reports

Colony

Custom

Platforms & agencies.

  • Unlimited projects
  • Any cadence · parallel runners
  • Custom adapters · SSO · on-prem runners
  • Live cloud-browser recording
  • Dedicated QA engineer · SLA

Contact

Talk to the humans behind the spider.

Tell us what you’re shipping. You’ll get a reply within one business day — usually with a pilot crawl of your staging environment already attached.

  • 01 — intro call or async, your pick
  • 02 — pilot crawl of your staging env
  • 03 — coverage report + suite proposal

FAQ

The questions engineers actually ask.

Something missing? Ask the humans — there’s a form right below.

How is this different from writing automated tests ourselves?

Nothing stops you — QA Spider writes standard, open-source test code your team could write by hand. The difference is who does the work: the spider maps your app, drafts the test cases, automates them, runs them on every deploy, repairs selectors when your UI changes, and files the bugs. Your engineers review results instead of maintaining test code.

Do you test APIs or just the UI?

Both, and the API layer is a first-class citizen: REST and GraphQL contract checks, auth boundaries, error handling and response shapes. Many regressions never show up in the UI — API checks catch them earlier and run in seconds instead of minutes.

What is the difference between surface and deep coverage?

Surface coverage needs nothing but a URL — we test everything publicly reachable and you get a report in days. Deep coverage plugs into your project: staging credentials, repositories and your internal tools, covering authenticated flows, API contracts and data integrity. Every deep engagement starts with a signed NDA.

Do you need access to our source code?

Not for surface coverage — the spider tests your product the way a user experiences it, through the browser and your public API. Deep coverage can go further with repository and tooling access (under NDA), which unlocks contract tests and coverage mapped to your actual routes.

How do you handle login, payments and test data?

You provide test accounts for staging, and the spider drives real sessions with them — sign-in, checkout with test cards, form submissions. Mutating flows run only against dev and staging. Production gets read-only checks, never writes.

Won't this flood our bug tracker with noise?

Every failure goes through triage before anything is filed: flaky tests get repaired, infrastructure blips get retried, and only confirmed product bugs become tickets — deduplicated, with repro steps, a screenshot and a trace attached. Bug filing is approval-gated, so nothing lands in your tracker without a human saying yes.

What happens when our UI changes?

The suite heals itself. When a locator breaks because you shipped a redesign — not a bug — the spider repairs the test and notes the change. When behavior actually regresses, it files a bug instead of silently patching the test to stay green. That distinction is the whole point.

Which stacks do you support?

Anything a browser can reach: React, Vue, Angular, server-rendered apps, plain HTML. API checks cover REST and GraphQL. If your users can click it, the spider can test it.

Do you test Web3 / blockchain products?

Yes — dApps are first-class. The spider drives wallet flows with emulated wallets (connect, network switch, sign, reject), exercises smart-contract interactions against testnets or a forked mainnet, and cross-checks what your UI shows against actual on-chain state. Contract-repo-level coverage is part of a deep engagement, under NDA.

Is it safe to run against production?

Yes — production runs are restricted to read-only smoke checks (page loads, critical rendering, API health). Anything that creates, edits or deletes data is tagged mutating and only ever runs on dev or staging.

How long does onboarding take?

The first crawl and draft coverage plan take minutes — try it right on this page. A reviewed, running suite with tracker and chat integrations is typically live within a few days, not weeks.

I'm a QA engineer. Does this replace me?

No — it eats your busywork. The spider drafts test cases, automates them and keeps them green, so you spend your time on coverage strategy, exploratory testing and the judgment calls automation cannot make. On the Orb Weaver plan, a QA engineer from our team also helps set up and maintain your suites.

Start today

Ship without holding your breath.

Point the spider at your product. The first coverage plan lands in minutes.

Start crawling