Show HN: TokenSpend, the AI ROI Solution

Aug 9, 2026 · 3:44 PM UTC ·2 min read · 0 reactions · 0 comments · 4 views

TL;DR · WeSearch summary

{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://tokenspend.dev/#organization","name":"TokenSpend","url":"https://tokenspend.dev","logo":"https://tokenspend.dev/logo.png","description":"TokenSpend is an AI coding spend attribution platform for engineering teams. Read every receipt.One endpoint for Claude, GPT, Gemini and open models. Usage and cost stay visible by engineer.Try a modelTry it ModelClaude Sonnet 5GPT-5.6 LunaGemini 3.5 FlashBrowse all modelsRead API docsNo provider key needed to tryLive registryPick the model.

Key facts

▪{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://tokenspend.dev/#organization","name":"TokenSpend","url":"https://tokenspend.dev","logo":"https://tokenspend.dev/logo.png","description":"TokenSpend is an AI c
▪Read every receipt.One endpoint for Claude, GPT, Gemini and open models.
▪Usage and cost stay visible by engineer.Try a modelTry it ModelClaude Sonnet 5GPT-5.6 LunaGemini 3.5 FlashBrowse all modelsRead API docsNo provider key needed to tryLive registryPick the model.

About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 4,176 of its stories.

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Original article

TokenSpend

Read full at TokenSpend →

Story provenance

Source · retrieval · rights · ranking — open for full record

inspect →

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	TokenSpend
Canonical URL	https://tokenspend.dev/
Publication time	Sun, 09 Aug 2026 15:44:22 +0000
Retrieval time	2026-08-09T15:50:42.916Z
Last seen	2026-08-09T15:50:42.916Z
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	futAawhytL37 · 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)

Publisher-declared

No publisher-confirmed rights record for this source yet.

Machine-readable

No source-specific machine-readable restriction detected beyond the public feed.

WeSearch interpretation

WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.

Unknown

Retrieval and training permissions are not asserted unless the publisher confirms them.

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.

Open original publisher → Source rights JSON → Machine-readable provenance → Rights framework → WESEARCH-STORY-PROVENANCE-V1

Opening excerpt (first ~120 words) tap to expand

{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://tokenspend.dev/#organization","name":"TokenSpend","url":"https://tokenspend.dev","logo":"https://tokenspend.dev/logo.png","description":"TokenSpend is an AI coding spend attribution platform for engineering teams. It connects Claude Code usage with GitHub pull requests so teams can see which AI coding spend became shipped code."},{"@type":"SoftwareApplication","@id":"https://tokenspend.dev/#software","name":"TokenSpend","applicationCategory":"BusinessApplication","operatingSystem":"Web","url":"https://tokenspend.dev","description":"TokenSpend reconciles AI coding spend from tools like Claude Code to shipped code in GitHub pull requests, so engineering teams can measure which spend became merged work, which…

Excerpt limited to ~120 words for fair-use compliance. The full article is at TokenSpend.

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