REPOGEO REPORT · LITE
lealone/Lealone
Default branch master · commit 8624be45 · scanned 5/10/2026, 5:02:29 PM
GitHub: 2,561 stars · 521 forks
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 lealone/Lealone, 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 emphasize 'AI Agent Platform'
Why:
CURRENT### Lealone 是什么 * 是一个高性能的全栈自进化通用智能体 * 能够彻底颠覆现有的应用软件开发模式 * 适用于个人助理和各种规模的企业应用
COPY-PASTE FIX### Lealone 是什么 * Lealone 是一个高性能的全栈自进化通用智能体平台,专为构建企业级 AI 应用、个人助理和氛围编程而设计,旨在彻底颠覆现有的应用软件开发模式。
- mediumtopics#2Add AI application and platform-centric topics
Why:
CURRENTacid, agent, ai, async, database, lealone, llm, microservice, newsql, oltp, orm, rdbms, replication, sharding, sql
COPY-PASTE FIXacid, agent, ai, async, database, lealone, llm, microservice, newsql, oltp, orm, rdbms, replication, sharding, sql, ai-platform, enterprise-ai, generative-ai, low-code-ai, intelligent-agent, ai-development, ai-agent
- lowreadme#3Clarify the project's license in the README
Why:
COPY-PASTE FIXLealone is licensed under [Specify License Name(s) and terms, e.g., 'a custom license combining Apache 2.0 and MIT terms']. Please refer to the LICENSE file for full details.
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.
- Azure Machine Learning · recommended 2×
- Microsoft Azure OpenAI Service · recommended 1×
- Azure Logic Apps · recommended 1×
- Power Automate · recommended 1×
- Google Cloud Vertex AI · recommended 1×
- CATEGORY QUERYHow to build enterprise AI applications with a self-evolving intelligent agent and minimal code?you: not recommendedAI recommended (in order):
- Microsoft Azure OpenAI Service
- Azure Machine Learning
- Azure Logic Apps
- Power Automate
- Google Cloud Vertex AI
- Dialogflow CX
- Google Cloud Workflows
- AppSheet
- Hugging Face Transformers
- Hugging Face AutoTrain
- LangChain
- LlamaIndex
- Streamlit
- Gradio
- DataRobot
- DataRobot AI Cloud
- C3 AI Platform
AI recommended 17 alternatives but never named lealone/Lealone. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a full-stack platform for AI-driven microservices with built-in database capabilities.you: not recommendedAI recommended (in order):
- Google Cloud Platform (GCP)
- Cloud Run
- Google Kubernetes Engine (GKE)
- Cloud Functions
- Vertex AI
- AI Platform
- Vision AI
- Natural Language AI
- Speech-to-Text
- Cloud Spanner
- Cloud Firestore
- Cloud SQL
- BigQuery
- Pub/Sub
- Cloud Endpoints
- Amazon Web Services (AWS)
- AWS Lambda
- Amazon ECS (Elastic Container Service)
- Amazon EKS (Elastic Kubernetes Service)
- AWS App Runner
- Amazon SageMaker
- Amazon Rekognition
- Amazon Comprehend
- Amazon Polly
- Amazon Aurora
- Amazon DynamoDB
- Amazon RDS
- Amazon Redshift
- Amazon SQS
- Amazon SNS
- Amazon API Gateway
- Microsoft Azure
- Azure Functions
- Azure Kubernetes Service (AKS)
- Azure Container Apps
- Azure Machine Learning
- Azure Cognitive Services
- Azure Bot Service
- Azure Cosmos DB
- Azure SQL Database
- Azure Database for PostgreSQL/MySQL/MariaDB
- Azure Synapse Analytics
- Azure Service Bus
- Azure Event Grid
- Azure API Management
- Firebase
- Firebase Cloud Functions
- Firebase Realtime Database
- Vercel
- Vercel Serverless Functions
- OpenAI
- Hugging Face
- PostgreSQL
- Neon
- Supabase
- MongoDB Atlas
- PlanetScale
- FaunaDB
- Heroku
- Heroku Dynos
- Heroku Private Spaces
- Heroku Postgres
- Heroku Data for Redis
- JawsDB MySQL
AI recommended 64 alternatives but never named lealone/Lealone. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- 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 lealone/Lealone?passAI named lealone/Lealone explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts lealone/Lealone in production, what risks or prerequisites should they evaluate first?passAI named lealone/Lealone 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 lealone/Lealone solve, and who is the primary audience?passAI named lealone/Lealone 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 lealone/Lealone. 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/lealone/Lealone)<a href="https://repogeo.com/en/r/lealone/Lealone"><img src="https://repogeo.com/badge/lealone/Lealone.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
lealone/Lealone — 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