Launch HN: Tokenless (YC S26) – Automatic model switching to save money
Tokenless fans out your request to a group of models and watches them think. Once a model is clearly on track, we select it and cancel the other models, and you only pay for what you need.We expose an OpenAI and Anthropic compatible endpoint. Spend history & trend: Ramp AI Index — AI spend per employee, Jun 2025–Jun 2026, matched to the cohort your spend sits in and extrapolated at its trailing 12-month growth.Built by AI researchers from Google DeepMind, Princeton, and UC Berkeley.Backed by Y Combinator.Cut the bill.
- ▪Tokenless fans out your request to a group of models and watches them think.
- ▪Once a model is clearly on track, we select it and cancel the other models, and you only pay for what you need.We expose an OpenAI and Anthropic compatible endpoint.
- ▪Spend history & trend: Ramp AI Index — AI spend per employee, Jun 2025–Jun 2026, matched to the cohort your spend sits in and extrapolated at its trailing 12-month growth.Built by AI researchers from Google DeepMind, Princeton, and UC Berke
Hacker News (Front Page) files mainly under programming. We currently carry 772 of its stories. Top-voted stories on Hacker News.
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 | Tokenless |
| Canonical URL | https://usetokenless.com/ |
| Publication time | Wed, 29 Jul 2026 15:55:27 +0000 |
| Retrieval time | 2026-07-29T16:10:59.233Z |
| Last seen | 2026-07-29T16:10:59.233Z |
| 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 | IEhCA9Bk34Tn · 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
TokenlessThe router that cuts your inference bill in half.A drop-in replacement for your API calls — always routed to the right model.Book a demoSign upSame quality, half the cost.Most calls don’t need a frontier model. Tokenless fans out your request to a group of models and watches them think. Once a model is clearly on track, we select it and cancel the other models, and you only pay for what you need.We expose an OpenAI and Anthropic compatible endpoint. Point your models at us and get started today!Get Startedastro-island,astro-slot,astro-static-slot{display:contents}(()=>{var a=(s,i,o)=>{let r=async()=>{await(await s())()},t=typeof i.value=="object"?i.value:void 0,c={rootMargin:t==null?void 0:t.rootMargin},n=new IntersectionObserver(e=>{for(let l of…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Tokenless.
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