RRepoGEO

REPOGEO REPORT · LITE

EpicenterHQ/epicenter

Default branch main · commit aa955da6 · scanned 5/21/2026, 10:51:42 AM

GitHub: 4,560 stars · 345 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 EpicenterHQ/epicenter, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clarify project purpose and tech stack

    Why:

    CURRENT
    <h1 align="center">Epicenter</h1>
  <p align="center">Local-first, open-source apps</p>
    COPY-PASTE FIX
    <h1 align="center">Epicenter: Local-First App Ecosystem</h1>
  <p align="center">An open-source platform for building and running local-first desktop applications with SvelteKit, Tauri, and SQLite. Your notes, transcripts, and chat histories live in a single folder of plain text and SQLite on your machine, synced across all your devices.</p>
  • hightopics#2
    Add descriptive topics to improve category visibility

    Why:

    CURRENT
    svelte, sveltekit, tailwindcss, tauri
    COPY-PASTE FIX
    svelte, sveltekit, tailwindcss, tauri, local-first, offline-first, desktop-apps, data-synchronization, sqlite-database, cross-device-sync

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.

Recall
0 / 2
0% of queries surface EpicenterHQ/epicenter
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Electron
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Electron · recommended 2×
  2. Tauri · recommended 2×
  3. SQLite · recommended 1×
  4. Node.js · recommended 1×
  5. Express.js · recommended 1×
  • CATEGORY QUERY
    How to build desktop applications with local data storage and cross-device synchronization?
    you: not recommended
    AI recommended (in order):
    1. Electron
    2. SQLite
    3. Node.js
    4. Express.js
    5. PostgreSQL
    6. MongoDB
    7. Flutter
    8. Hive
    9. sqflite
    10. Firebase
    11. Cloud Firestore
    12. Realtime Database
    13. Supabase
    14. Qt
    15. MySQL
    16. Tauri
    17. Rust
    18. Microsoft .NET
    19. WPF
    20. WinForms
    21. .NET MAUI
    22. SQL Server LocalDB
    23. Azure App Service
    24. Azure SQL Database
    25. Entity Framework Core

    AI recommended 25 alternatives but never named EpicenterHQ/epicenter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks enable building offline-first desktop apps using Svelte and SQLite?
    you: not recommended
    AI recommended (in order):
    1. Electron
    2. better-sqlite3
    3. Tauri
    4. rusqlite
    5. Neutralinojs
    6. NW.js
    7. Capacitor
    8. SQLitePlugin

    AI recommended 8 alternatives but never named EpicenterHQ/epicenter. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

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 EpicenterHQ/epicenter?
    pass
    AI did not name EpicenterHQ/epicenter — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts EpicenterHQ/epicenter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named EpicenterHQ/epicenter 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 EpicenterHQ/epicenter solve, and who is the primary audience?
    pass
    AI named EpicenterHQ/epicenter 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 EpicenterHQ/epicenter. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/EpicenterHQ/epicenter.svg)](https://repogeo.com/en/r/EpicenterHQ/epicenter)
HTML
<a href="https://repogeo.com/en/r/EpicenterHQ/epicenter"><img src="https://repogeo.com/badge/EpicenterHQ/epicenter.svg" alt="RepoGEO" /></a>
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EpicenterHQ/epicenter — 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