Building a social platform with Python? Let us review it.
Expert code review for social platforms built with Python. We fix Python-specific security gaps, optimize performance, and handle deployment. From $19.
Common Python issues we find
Real problems from Python codebases we've reviewed.
Django debug mode in production
DEBUG=True left enabled in production, exposing stack traces, database queries, and configuration to attackers.
Missing CSRF protection
CSRF middleware disabled or bypassed for convenience, allowing cross-site request forgery attacks.
Insecure deserialization
Using pickle or yaml.load with untrusted data, enabling remote code execution.
Slow database queries
ORM queries that generate inefficient SQL, N+1 query patterns, and missing database indexes.
Social Platform challenges to solve
Key social platform concerns that AI-generated code often misses.
Content moderation and safety
Users will post spam, harassment, illegal content, and misinformation. You need automated content filtering, user reporting flows, admin moderation tools, and clear community guidelines enforcement. Launching without moderation is a legal and reputational risk.
Feed algorithm and performance
A chronological feed is simple but doesn't scale — loading thousands of posts to sort them on every request kills performance. AI tools build basic feeds that work with 50 posts but crawl with 50,000. You need pagination, caching, and potentially a ranking algorithm.
User-generated content storage
Images, videos, and files uploaded by users need proper storage — CDN delivery, format optimization, size limits, and malware scanning. AI tools implement basic file upload but skip content delivery optimization and security scanning.
Notification system
Likes, comments, follows, mentions, and messages all generate notifications across multiple channels — in-app, push, and email. Building a notification system that's timely without being spammy, and that handles user preferences, is a complex infrastructure challenge.
What we check
Key areas we review for Python social platform projects.
Content moderation — automated filtering, reporting flow, admin tools
Feed performance — pagination, caching, query optimization
Media handling — CDN delivery, image optimization, upload limits
Privacy controls — blocking, profile visibility, data export
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Python social platform project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a social platform built with Python?
Yes. We regularly audit Python social platform projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Python social platforms?
Common issues include django debug mode in production and missing csrf protection on the Python side, combined with social platform-specific concerns like content moderation and safety and feed algorithm and performance. We check for all of these and more.
How do I make my Python social platform production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Python social platform projects, the typical path is: fix security gaps, address social platform-specific requirements, optimize Python performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Python social platform?
Our code audit delivers a full report within 24 hours. For Python social platform projects, we check security, architecture, performance, and deployment readiness across all Python-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Python by Use Case
Need help with your Python social platform?
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