Avian Visitors
Teddy Warner has created a project called Avian Visitors, which allows users to monitor birds visiting their locations. The project utilizes a Raspberry Pi and a microphone to capture bird sounds and identify species using BirdNET-Pi. Warner provides a detailed guide for building a bird tracking station and accessing the audio collage online.
- ▪Avian Visitors is a project that captures bird sounds using a Raspberry Pi and a USB microphone.
- ▪The project is a fork of BirdNET-Pi, which identifies bird species through audio analysis.
- ▪Users can access the audio collage online and follow a guide to set up their own bird tracking station.
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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 | Theodore |
| Canonical URL | https://theodore.net/projects/AvianVisitors/ |
| Publication time | Sun, 31 May 2026 06:13:59 +0000 |
| Retrieval time | 2026-05-28T23:29:38.979Z |
| Last seen | 2026-05-31T07:48:30.850Z |
| 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
01 Home 02 Projects 03 Writing document.addEventListener('DOMContentLoaded', function() { initializeHeader(); }); // Load stylesheets embedded in content after instant navigation (function() { const loadedStylesheets = new Set(); document.querySelectorAll('link[rel="stylesheet"]').forEach(link => { loadedStylesheets.add(link.href); }); function loadContentStylesheets() { const content = document.querySelector('.md-content'); if (!content) return; content.querySelectorAll('link[rel="stylesheet"]').forEach(link => { const href = link.href; if (!loadedStylesheets.has(href)) { loadedStylesheets.add(href); const newLink = document.createElement('link'); newLink.rel = 'stylesheet'; newLink.href = href; document.head.appendChild(newLink); } }); } loadContentStylesheets(); if (typeof document$…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Theodore.
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