A Trillion Characters
The 'Trillion Characters' project is a real-time collaborative writing tool built using the Datastar framework. It operates by streaming updates from the server to the client, allowing multiple users to type simultaneously while maintaining performance. The architecture focuses on efficient data handling and compression, making it a lightweight yet powerful solution for collaborative applications.
- ▪The application uses a unique architecture that moves interactive logic to the backend, reducing client-side processing.
- ▪Server-sent events (SSE) enable efficient streaming of updates, achieving significant compression ratios.
- ▪Character data is stored in a fast memory-mapped database with advanced compression techniques applied.
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Story provenance
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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 | Fastserial |
| Canonical URL | https://characters.fastserial.com |
| Publication time | Fri, 29 May 2026 20:32:56 +0000 |
| Retrieval time | 2026-05-29T20:50:10.690Z |
| Last seen | 2026-05-29T20:50:10.690Z |
| 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 | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| 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
'Trillion Characters' is a realtime collaborative experiment built with Datastar. Click anywhere on the canvas to place your cursor and start typing. You can see other people's cursors typing as well. This page uses no clientside JavaScript except for Datastar & Datastar attributes. Datastar is a lightweight JavaScript framework (11kB) with a completely radical architecture: Compared to other JS frameworks (e.g. React, Vue, Svelte), Datastar eliminates state and logic on the client-side. Instead, all interactive logic is moved to the backend. Page updates are streamed to the client as server-rendered templates over a persistent SSE stream. This is a bit like streaming a movie, except the movie is HTML and you receive new content from updates and UI interactions.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Fastserial.
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