Show HN: Trainy, an AI team that fires you
Trainy is an AI-driven simulation tool designed for project managers to practice decision-making in a team environment. It presents realistic scenarios where team members challenge the PM's ideas, requiring them to defend their proposals or face potential consequences. The tool aims to enhance skills in managing stakeholder expectations and navigating team dynamics.
- ▪Trainy simulates real team interactions for project managers.
- ▪The tool allows PMs to practice defending their ideas against challenging stakeholders.
- ▪Decisions made in the simulation can lead to various outcomes, including project approval or removal from the team.
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,386 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Trainy |
| Canonical URL | https://www.trainy.me/roleplay |
| Publication time | Wed, 20 May 2026 17:37:42 +0000 |
| Retrieval time | 2026-05-20T17:45:02.814Z |
| Last seen | 2026-05-20T17:45:02.814Z |
| 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 | aoOAbgI0JUfz |
| 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
Practice scenariosPractice the decisions. A real team pushes back.You’re the PM at Vento, a consumer investing app. You’re building an AI feature that shows customers what their money could become over time — a projection, not financial advice.A stakeholder messages you first. Push back, change their mind, or watch what happens when you don’t. They act like real people.Alex Volkov opensWeekly with Alex8 turnsalex pinged you for the weekly check-in on wealth-projection. no slides, no agenda — he wants to hear how it's actually going.AlexHelena Lin opensWhy AI at all?8 turnsyou're the pm for the wealth-projection feature. helena read your one-pager and isn't sold this needs ai instead of a slider and a chart.Helena · Daniel · SaraOlena Whitfield opensSurvive Compliance8 turnsyou're the pm.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Trainy.
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