Built a social platform with Pythagora?
We'll make it production-ready.
Social platforms are uniquely complex because your users create the content, interact with each other, and expect real-time responsiveness. AI tools can build feeds, profiles, and posting features, but the hard problems — content moderation, abuse prevention, notification systems, and handling viral growth — require careful engineering that AI tools don't provide.
Social Platform challenges in Pythagora apps
Building a social platform with Pythagora is a great start — but these challenges need attention before launch.
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.
Privacy and blocking
Users need to control who sees their content, block other users, and manage their privacy settings. AI tools build public-by-default profiles without the privacy controls users expect and regulations require.
Abuse prevention
Fake accounts, bots, spam rings, and coordinated harassment are inevitable on any social platform. You need rate limiting on actions (follows, messages, posts), bot detection, and account verification to protect your legitimate users.
What we check in your Pythagora social platform
Common Pythagora issues we fix
Beyond social platform-specific issues, these are Pythagora patterns we commonly fix.
Weak input validation
Pythagora validates inputs at the UI level but often skips server-side validation, allowing malicious requests to bypass frontend checks.
Insecure session management
Sessions and tokens are sometimes stored insecurely or don't expire properly, allowing unauthorized access to persist.
Step-by-step accumulation of bugs
Each development step is reviewed individually, but the interaction between steps can introduce bugs that aren't visible in isolation.
Redundant code from iterations
Pythagora's iterative approach sometimes leaves behind old code paths, unused functions, and deprecated approaches from earlier steps.
Start with a self-serve audit
Get a professional review of your Pythagora social platform 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.
Frequently asked questions
Can I build a social platform with Pythagora?
Pythagora is a great starting point for a social platform. It handles the initial scaffolding well, but social platforms have specific requirements — content moderation and safety and feed algorithm and performance — that need professional attention before launch.
What issues does Pythagora leave in social platforms?
Common issues include: weak input validation, insecure session management, step-by-step accumulation of bugs. For a social platform specifically, these issues are compounded by the need for content moderation and safety.
How do I make my Pythagora social platform production-ready?
Start with our code audit ($19) to get a clear picture of what needs fixing. For most Pythagora-built social platforms, the critical path is: security review, then fixing core flow reliability, then deployment. We provide a fixed quote after the audit.
How much does it cost to fix a Pythagora-built social platform?
Our code audit is $19 and gives you a complete report of issues. Fixes start at $199 with our Fix & Ship plan. For larger social platform projects, we provide a custom fixed quote after the audit — no hourly billing.
Get your Pythagora social platform production-ready
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.