REPOGEO REPORT · LITE

SouravRoy-ETL/duckle

Default branch main · commit a5594bcb · scanned 6/17/2026, 10:02:16 PM

GitHub: 537 stars · 31 forks

AI VISIBILITY SCORE

40 /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

3 / 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 SouravRoy-ETL/duckle, 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.

OVERALL DIRECTION

highreadme#1

Explicitly state the visual, desktop nature and core tech stack in the README's opening.

Why:

CURRENT

<h3>The local-first data studio with a built-in AI assistant.</h3><p><b>Duckle</b> is an open-source desktop ETL / ELT studio. Drag a pipeline onto the canvas, describe what you need in plain English to <b>Duckie</b> (the on-device AI assistant), and execute at native speed through DuckDB.

COPY-PASTE FIX

<h3>Duckle: The local-first, visual ETL/ELT desktop studio with a built-in AI assistant.</h3><p><b>Duckle</b> is an open-source, drag-and-drop desktop ETL / ELT studio built with Rust, Tauri, and React/TypeScript. Visually design data pipelines on a canvas, describe transformations in plain English to <b>Duckie</b> (the on-device AI assistant), and execute at native speed through DuckDB.

mediumtopics#2

Add specific topics for 'visual', 'AI assistant', and 'no-cloud' features.

Why:

CURRENT

data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop, duckdb, elt, embedded, etl, local-first, react, rust, sql, tauri, typescript, vector-database

COPY-PASTE FIX

data-engineering, data-integration, data-pipeline, data-quality, desktop-app, drag-and-drop, duckdb, elt, embedded, etl, local-first, react, rust, sql, tauri, typescript, vector-database, visual-etl, ai-assistant, generative-ai, no-cloud, on-device-ai

lowreadme#3

Add clarifying context to 'Server deployment' and 'MCP server' links.

Why:

CURRENT

Server deployment
MCP server (Claude / LLM integration)

COPY-PASTE FIX

Server deployment (optional, for advanced external integrations)
MCP server (connect Claude or any LLM; core Duckie AI runs on-device)

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 SouravRoy-ETL/duckle

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

KNIME Analytics Platform

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

KNIME Analytics Platform · recommended 2×
RapidMiner Studio · recommended 2×
Pentaho Data Integration (Kettle) · recommended 1×
Apache NiFi · recommended 1×
Talend Open Studio for Data Integration · recommended 1×

CATEGORY QUERY
visual ETL tool for local data processing without cloud server dependencies
you: not recommended
AI recommended (in order):
1. KNIME Analytics Platform
2. Pentaho Data Integration (Kettle)
3. Apache NiFi
4. RapidMiner Studio
5. Talend Open Studio for Data Integration
AI recommended 5 alternatives but never named SouravRoy-ETL/duckle. This is the gap to close.
Show full AI answer
CATEGORY QUERY
recommend a desktop application for building data pipelines using an embedded AI assistant
you: not recommended
AI recommended (in order):
1. Dataiku DSS
2. KNIME Analytics Platform
3. RapidMiner Studio
4. Alteryx Designer
5. Microsoft Power BI Desktop
6. Azure Machine Learning
AI recommended 6 alternatives but never named SouravRoy-ETL/duckle. 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 SouravRoy-ETL/duckle?
pass
AI named SouravRoy-ETL/duckle explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts SouravRoy-ETL/duckle in production, what risks or prerequisites should they evaluate first?
pass
AI named SouravRoy-ETL/duckle 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 SouravRoy-ETL/duckle solve, and who is the primary audience?
pass
AI named SouravRoy-ETL/duckle explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Live preview

MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/SouravRoy-ETL/duckle"><img src="https://repogeo.com/badge/SouravRoy-ETL/duckle.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite