Resurf
realistic, reproducible test framework for AI browser agents
Details
- External ID
- 48054659
- Source
- HN
- Company
- —
- Product
- Resurf
- Website domain
- github.com
- Launched
- May 7, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.1147011308562197
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Systematic testing of browser agents today is not easy: testing on real websites is flaky, rate-limited and potentially expensive (e.g. using proxies or bypassing Captcha), while static-HTML benchmarks lack state and dynamic behavior.Resurf gives your browser agent a realistic, stateful, instrumented framework — built on synthetic websites with failure-mode injection:- Realistic, dynamic, interactive environment - Deterministic & reproducible - Failure-mode injection (latency, payment errors, 5xx) - Auditable success eval (DB state, not LLM judge) - No dependency on live websites - Browser Use and Stagehand supported out of the box
Enrichment
- Theme
- browser automation and scraping for AI
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- testing framework for ai browser agents
- Manually corrected
- False
Could you build this?
Partial The browser orchestration wrappers and test runner are straightforward, but building a reproducible, stateful, deterministic simulation environment of complex dynamic websites is fundamentally non-trivial.
What it would actually take: The architecture involves Playwright/Puppeteer running against containerized mock web applications with seeded databases and record-replay HTTP proxies (e.g., Polly.js or custom Har-based interceptors). The hardest part is deterministic state management across asynchronous client-side events, animations, and non-deterministic third-party scripts. This requires experienced systems testing engineers with expertise in browser automation and sandboxing.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 104 launches clear the similarity bar, closest 8 shown.
Attention rank: #97 of 105 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 184 days after the earliest competitor.
- Agent Readiness Score · hn · 2026-02-17 · 5 upvotes · similarity 0.43
- Tabstack · hn · 2026-01-14 · 130 upvotes · similarity 0.43
- Open-source browser for AI agents · hn · 2026-03-11 · 155 upvotes · similarity 0.40
- StableBrowse - Browser Layer For AI Agents · yc · 2026-05-26 · 37 upvotes · similarity 0.40
- Resurf · ph · 2026-09-13 · 297 upvotes · similarity 0.39
- Ashr: Mimic Your Production Environment and Users to Catch Agent Fails · yc · 2026-02-27 · 9 upvotes · similarity 0.38
- BrowserAct · ph · 2026-06-25 · 561 upvotes · similarity 0.38
- BrowserAct: Browser Layer for Your AI Agent · hn · 2026-07-28 · 16 upvotes · similarity 0.38
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.