Show HN: CostHawk Tracks AI Adoption Across Teams, Repos, and Projects
CostHawk is a platform designed to help organizations track AI adoption and spending across various teams and projects. It provides insights into usage trends and costs associated with different AI providers. The tool aims to assist leadership in optimizing AI investments and understanding their value compared to local tools.
- ▪CostHawk tracks AI adoption and spending for engineering teams.
- ▪It supports integration through MCP telemetry, admin API sync, or wrapped proxy keys.
- ▪The platform ensures privacy by only storing usage metadata and not user prompts or code.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,357 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | CostHawk |
| Canonical URL | https://costhawk.ai |
| Publication time | Sat, 23 May 2026 13:34:26 +0000 |
| Retrieval time | 2026-05-23T13:42:26.732Z |
| Last seen | 2026-05-23T13:42:26.732Z |
| 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 | ba_kXRYEtvr8 |
| 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
{"@context":"https://schema.org","@type":"Organization","@id":"https://costhawk.ai/#organization","name":"CostHawk","url":"https://costhawk.ai","logo":"https://costhawk.ai/costhawk-logo.webp","description":"CostHawk helps leadership teams track AI adoption, understand provider spend, and measure equivalent local-tool value across modern software teams.","sameAs":["https://docs.costhawk.ai","https://www.npmjs.com/package/costhawk","https://github.com/cdilling/costcanary","https://www.linkedin.com/company/costhawk/"],"contactPoint":{"@type":"ContactPoint","contactType":"support","email":"[email protected]"},"knowsAbout":["AI adoption tracking","team AI usage monitoring","LLM cost monitoring","AI API pricing","engineering team benchmarks","Claude Code costs","OpenAI billing","Anthropic…
Excerpt limited to ~120 words for fair-use compliance. The full article is at CostHawk.
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