REPOGEO REPORT · LITE
fastrepl/anarlog
Default branch main · commit 74d5fb36 · scanned 6/30/2026, 12:17:04 AM
GitHub: 8,745 stars · 649 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface fastrepl/anarlog, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README's opening to explicitly state its primary function
Why:
CURRENT> **Note:** The team is now building **char**. **anarlog** remains open-source, MIT-licensed, and maintained as the local-first meeting notetaker in this repo. [](https://deepwiki.com/fastrepl/anarlog) # anarlog An open-source AI meeting notetaker that is local-first, privacy-first, and yours to fork. Granola, rearranged.
COPY-PASTE FIX# anarlog: Your Local-First AI Meeting Notetaker **anarlog** is an open-source, privacy-first AI meeting notetaker that runs entirely on your device. It's designed as a local-first alternative to cloud-based tools like Granola, giving you full control over your data and AI models. > **Note:** While the team is now building **char**, **anarlog** remains actively maintained as the local-first meeting notetaker in this repository.
- highabout#2Update repository description for clarity
Why:
CURRENTOpen source Granola AI Alternative
COPY-PASTE FIXLocal-first, open-source AI meeting notetaker with on-device transcription and bring-your-own LLM support.
- mediumtopics#3Add more specific topics
Why:
CURRENTlocal-first, notetaking, open-source, react, rust, tauri, typescript
COPY-PASTE FIXlocal-first, notetaking, open-source, react, rust, tauri, typescript, ai, llm, transcription, meeting-notes, privacy-first
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- ggerganov/whisper.cpp · recommended 3×
- alphacep/vosk-api · recommended 2×
- openai/whisper · recommended 2×
- laurent22/joplin · recommended 1×
- mozilla/DeepSpeech · recommended 1×
- CATEGORY QUERYI need an open-source AI meeting notetaker that keeps all data local and private.you: not recommendedAI recommended (in order):
- Whisper Desktop (ggerganov/whisper.cpp)
- Joplin (laurent22/joplin)
- Vosk Speech Recognition Toolkit (alphacep/vosk-api)
- whisper.cpp (ggerganov/whisper.cpp)
- Mozilla DeepSpeech (mozilla/DeepSpeech)
AI recommended 5 alternatives but never named fastrepl/anarlog. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are some good local-first meeting transcription tools with bring-your-own LLM support?you: not recommendedAI recommended (in order):
- Whisper.cpp (ggerganov/whisper.cpp)
- llama.cpp (ggerganov/llama.cpp)
- Ollama (ollama/ollama)
- Python `whisper` library (openai/whisper)
- LocalAI (mudler/LocalAI)
- MacWhisper (jordibruin/macwhisper)
- Buzz (chidiwilliams/buzz)
- transformers (huggingface/transformers)
- openai-whisper (openai/whisper)
- llama-cpp-python (abetlen/llama-cpp-python)
- Vosk (alphacep/vosk-api)
- Kaldi (kaldi-asr/kaldi)
AI recommended 12 alternatives but never named fastrepl/anarlog. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of fastrepl/anarlog?passAI named fastrepl/anarlog explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts fastrepl/anarlog in production, what risks or prerequisites should they evaluate first?passAI named fastrepl/anarlog explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo fastrepl/anarlog solve, and who is the primary audience?passAI named fastrepl/anarlog explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of fastrepl/anarlog. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/fastrepl/anarlog)<a href="https://repogeo.com/en/r/fastrepl/anarlog"><img src="https://repogeo.com/badge/fastrepl/anarlog.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
fastrepl/anarlog — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite