Show HN: SmokeOps – describe a flow, get checks you rerun without AI
SmokeOps drives your site, keeps only steps that actually passed, and leaves you a Playwright check you can rerun in CI — no agent required after you approve. SmokeOps is local-first synthetic monitoring. You describe a user flow in plain language; it turns that into a browser check you review, save in your repository, and run on a schedule.
- ▪SmokeOps drives your site, keeps only steps that actually passed, and leaves you a Playwright check you can rerun in CI — no agent required after you approve.
- ▪SmokeOps is local-first synthetic monitoring.
- ▪You describe a user flow in plain language; it turns that into a browser check you review, save in your repository, and run on a schedule.
Hacker News (AI / LLM) files mainly under ai. We currently carry 4,509 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/gate3/SmokeOps |
| Publication time | Tue, 11 Aug 2026 18:12:40 +0000 |
| Retrieval time | 2026-08-11T18:20:42.106Z |
| Last seen | 2026-08-11T18:20:42.106Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | fZ_4Hp73fQOF · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
SmokeOps Describe a critical flow. SmokeOps drives your site, keeps only steps that actually passed, and leaves you a Playwright check you can rerun in CI — no agent required after you approve. What is SmokeOps? SmokeOps is local-first synthetic monitoring. You describe a user flow in plain language; it turns that into a browser check you review, save in your repository, and run on a schedule. An AI agent can open your site and click through a flow, or write you a Playwright script. SmokeOps is built around a tighter create loop on the live page: look at what’s interactive, propose the next steps, run them in Playwright, and if a step fails, take fresh page context and try again. It only keeps what already passed. You approve once; the check is saved in your repo.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.