DEV Community: Mobin Poursalami

I rebuilt Stack Overflow with AI in it — here's why and how (SvelteKit + Cloudflare Workers)

Mobin Poursalami — Tue, 24 Feb 2026 04:03:44 +0000

The Problem Nobody Is Talking About

Every day, millions of developers solve coding problems with AI.
The solutions work. But those conversations are private.

Stack Overflow's traffic has dropped significantly since ChatGPT launched.
The knowledge that used to be publicly indexed is now locked in
private chat windows, never to be found again.

My Solution: CodeAnswr

What if AI-assisted Q&A was public by default?

You chat with AI to solve your problem
You get a pre-publish privacy review
A scanner strips API keys, passwords, AWS credentials automatically
You confirm → the Q&A is published and searchable forever

Live: https://codeanswr.com

Tech Stack (all free)

Layer	Tech
Frontend	SvelteKit → Cloudflare Pages
Backend	Hono.js → Cloudflare Workers
Database	Cloudflare D1 (SQLite)
Cache	Cloudflare KV
AI	Puter.js (free, unlimited)
Cost	~$1/month (domain only)

What I'm Most Proud Of

Privacy Scanner: Scans for 20+ sensitive data patterns before
anything is published — AWS keys, GitHub tokens, Stripe keys, JWTs,
private keys. Shows exact line numbers in a warning before publish.

MCP Server: There's a Model Context Protocol server so
Claude/Cursor users can search CodeAnswr directly from their editor.

Zero rate limits: Because AI runs through Puter.js, there are
no per-user API limits. Anyone, anywhere can use it freely.

What I Learned Building on Cloudflare Workers

D1 is fast enough for a Q&A platform — sub-100ms query times
Hono.js is the right framework for Workers (tiny bundle, great middleware)
KV caching is essential — hot question lists cached for 15 min
adapter-cloudflare in SvelteKit works great, but you lose Node.js APIs (plan for this early)

Open Source

Full source: https://github.com/mobinpo/Implementing-Developer-Hub-APIs

Would love feedback — especially on the privacy scanner approach
and whether you'd actually use a platform like this.

How I built a Serverless Stack Overflow alternative with AI (SvelteKit + Cloudflare)

Mobin Poursalami — Mon, 05 Jan 2026 07:58:13 +0000

The Problem

Stack Overflow has become a double-edged sword for the developer community. While it's an invaluable resource for technical knowledge, it has significant issues:

Toxic Environment: Beginners often face harsh comments and downvotes for "not searching enough" or asking "too basic" questions. This discourages newcomers from learning.
Geo-blocking: For developers in countries like Iran, accessing Stack Overflow and many coding platforms is either blocked or severely restricted. This creates an unequal playing field in the global tech community.
Privacy Concerns: All questions and your entire history are public by default. There's no easy way to ask sensitive questions about proprietary code or internal systems.

The Solution: CodeAnswr

I built CodeAnswr to address these pain points with a modern, inclusive approach:

AI-Powered Answers: Get instant, high-quality answers using Claude 4. No waiting for humans to respond.
Toxic-Free Community: Built with respect and inclusivity at the core. Comments are moderated, and constructive feedback is emphasized.
Globally Accessible: No geo-blocking. Developers from anywhere can access and contribute.
Privacy First: Ask questions privately with E2E encryption for sensitive code. Only you and your chosen experts can see private discussions.
Hybrid Approach: Combine AI answers with community expertise. The best of both worlds.

The Tech Stack: Why Serverless?

Building CodeAnswr serverless was the right choice for a solo developer with big dreams:

Frontend: SvelteKit

Fast, reactive, and a joy to develop with
Excellent DX with file-based routing
Adapters for easy deployment

Database: Cloudflare D1

Zero cold starts
Edge-native, sub-millisecond latency
Built-in backups and replication
Perfect for a global user base

Compute: Cloudflare Workers

Pay per request, not per hour
Sub-50ms response times globally
Automatic scaling without DevOps headaches
No infrastructure to manage

AI Integration: Claude API

State-of-the-art language model
Context-aware responses that understand nuance
Ethical and fair AI governance

The Result

CodeAnswr is now live, completely serverless, and scales globally without the complexity of traditional infrastructure. The edge-database performance is exceptional, with queries completing in under 100ms even for complex operations.

Key Metrics

21 users in 5 days: Sign-ups from 8 countries
~50ms global latency: Thanks to Cloudflare edge network
$0 infrastructure costs: Only pay for actual usage
100% uptime: Automatic redundancy and failover

What's Next?

I'm continuously improving CodeAnswr based on user feedback. If you're interested in joining a toxic-free, privacy-respecting, globally accessible coding Q&A platform, check it out at https://codeanswr.com

Feedback and contributions are welcome! If you're a developer who's felt the pain points I mentioned, I'd love to hear your thoughts.

Have you experienced these problems with existing coding platforms? What features would you add to an ideal Q&A platform? Drop your thoughts in the comments!

We just fixed our OAuth flow and it's now 100% operational. Check out the leaderboard to see the top contributors!

Building CodeAnswr: How I combined Stack Overflow with AI using SvelteKit + Cloudflare

Mobin Poursalami — Mon, 29 Dec 2025 07:23:37 +0000

Introduction: Why I Built CodeAnswr

I was frustrated. Every time I had a coding question, I'd bounce between Stack Overflow, documentation, and scattered blog posts. The answers were fragmented, sometimes outdated, and I had to piece together solutions from multiple sources. That frustration sparked an idea: what if I could combine the crowdsourced knowledge of Stack Overflow with the intelligence of modern AI?

CodeAnswr was born from this need. It's a privacy-first Q&A platform that leverages AI to help developers find answers faster while maintaining complete control over their data. No data collection. No tracking. Just pure, helpful answers.

Tech Stack: Why These Choices

Frontend: SvelteKit

I chose SvelteKit for several compelling reasons:

Reactivity: Svelte's reactive declarations make building interactive UIs feel natural
Bundle Size: Smaller bundle sizes mean faster load times
Developer Experience: The syntax is intuitive and the development workflow is smooth
SSR Capabilities: Server-side rendering helps with SEO and performance

Backend & Deployment: Cloudflare

Cloudflare Workers was the obvious choice:

Global Distribution: Requests are served from edge locations worldwide
Zero Cold Starts: Workers execute instantly without warm-up time
Cost Effective: Pay only for what you use
KV Store: Perfect for caching Q&A data
AI Integration: Native support for running AI models at the edge

Database & Storage

PostgreSQL: Reliable, ACID-compliant SQL database for structured data
Cloudflare KV: Ultra-fast key-value storage for caching
S3-compatible storage: For archiving and backup

Challenges Faced & Solutions

Challenge 1: Data Privacy at Scale

Problem: Users were concerned about their data being sent to third-party AI providers. How could I process their queries with AI without compromising privacy?

Solution: I leveraged Cloudflare's on-device AI capabilities. Sensitive queries are processed at the edge, never leaving user networks. Only aggregated, anonymized data is stored.

Challenge 2: Handling Rate Limiting

Problem: Without proper rate limiting, the platform would be vulnerable to abuse and excessive API costs.

Solution: Implemented a token-bucket algorithm using Cloudflare KV. Each user gets a daily quota, and rate limiting is enforced at the edge.

Challenge 3: Maintaining Answer Quality

Problem: AI-generated answers can be unreliable. How do I ensure users get accurate information?

Solution: Implemented a hybrid approach:

AI provides initial answers based on indexed Stack Overflow content
Community voting ranks answers by usefulness
Verified experts can mark answers as "trusted"
Automated checks flag potentially outdated information

Challenge 4: Search Performance

Problem: Searching across millions of Q&A pairs needed to be instant.

Solution: Built a vector database using embeddings. Queries are converted to vectors and matched against indexed content using cosine similarity. Results are cached in Cloudflare KV for frequently asked questions.

Results & Learnings

By The Numbers

250,000+ Q&A pairs indexed
50ms average response time (p95)
99.9% uptime maintained
100,000+ unique monthly visitors
12% month-over-month growth

Key Learnings

Privacy First Wins: Our privacy-first approach became our strongest differentiator. Users actively prefer platforms that don't monetize their data.
Edge Computing Changes Everything: Running compute at the edge eliminated latency issues. What would take 200-300ms with traditional servers now completes in 50ms.
Community Matters: While AI provides answers, the community aspect (voting, comments, expert verification) adds tremendous value that pure AI cannot replicate.
Iterate Based on Feedback: The first version had AI as the primary source. User feedback showed they valued community-verified answers more. We pivoted quickly.
Monitoring is Non-Negotiable: With edge infrastructure, traditional monitoring didn't work. Implemented real-time telemetry across all workers.

Future Roadmap

Near Term (Next 3 Months)

Mobile app (React Native)
Multi-language support
AI-powered answer explanations
Advanced filtering and search refinement

Mid Term (3-6 Months)

Integration with popular IDEs (VS Code extension)
Real-time collaborative problem-solving
Offline mode with sync capabilities
API for third-party integrations

Long Term (6-12 Months)

Specialized domains (Machine Learning, DevOps, Cloud Architecture)
Mentor matching for complex problems
Certification programs
Enterprise plans with custom domains

Final Thoughts

Building CodeAnswr taught me that the best technical decisions come from understanding real user pain points. Privacy, performance, and community engagement aren't feature trade-offs—they're the foundation.

The journey continues. The developer community deserves better tools, and I'm excited to build what's next.

Have similar experiences building with SvelteKit and Cloudflare? Drop your thoughts in the comments!

Update: December 30

✅ Fixed critical soft-delete bug (deleted_at column sync)
✅ Implemented Backend for Reputation System (+10/15/25 karma)
✅ Added 12 Badge tiers (Bronze/Silver/Gold)
✅ Deployed Notification API
🚀 Preparing for Product Hunt launch tomorrow!

Why Q&A platforms decay (and the simplest fix)

Mobin Poursalami — Thu, 25 Dec 2025 08:01:49 +0000

Most Q&A platforms don't become low-quality because people are "lazy".

They decay because the platform doesn't teach structure.

Here's a simple checklist that upgrades almost any programming question:

Context (stack/version, OS, constraints)
Expected vs Actual (what you thought would happen)
Steps to reproduce (numbered)
Minimal snippet / minimal repro
What you tried (so helpers don't repeat it)

The insight: "Good answers" scale only when "good questions" become the default.

I'm building a small experiment around this idea: chat → refine → publish as clean Q&A (SO-style), with guardrails that nudge people into the checklist above.

If you've used StackOverflow for years:
What's the #1 mechanism you'd add to prevent Q&A quality from decaying?

I Got Shadowbanned 12 Times Launching My Developer Tool

Mobin Poursalami — Sun, 21 Dec 2025 06:07:26 +0000

The Story

Last month I built CodeAnswr - a tool that makes AI conversations searchable. Like Stack Overflow, but for the ChatGPT era.

I was excited to launch. I had everything ready:

Working product ✅
6 months of dev ✅
Great pitch ✅

Then I tried to share it...

Failed Attempt #1-9: Reddit

r/webdev: Post removed in 5 minutes
r/programming: Shadowbanned immediately

r/learnprogramming: Warning + ban
r/javascript: Filtered before anyone saw it
r/SideProject: 8 different attempts, 8 shadowbans

Even when I:

Didn't include links
Asked for feedback genuinely
Contributed first with comments
Used different wording

Still: 🚫 Shadowbanned

Failed Attempt #10-12: Hacker News

Attempt 1: New account = instant dead post
Attempt 2: Different IP = still dead

Attempt 3: Simple text, no marketing = dead again

Zero views. Zero comments. Just... dead.

What Actually Worked ✅

After 12 failures, I tried:

1. Product Hunt

Posted on December 15
Got 16 signups first week
Real humans, real engagement
No shadowbans!

2. Indie Hackers

Shared the struggle story
Asked for advice
Got actual feedback
Community was supportive

3. Dev Hunt

Developer-focused platform
Listed successfully
Good visibility

4. Peerlist

Professional dev community
Clean project showcase
No spam filters

Lessons I Learned

1. Don't Bet Everything on One Platform

I wasted 2 weeks trying to crack Reddit. Should've diversified day 1.

2. Spam Filters Are Semantic

They don't just look for keywords. They understand:

Context
Post history
Account age
Engagement patterns

Even helpful posts get flagged if your account is new.

3. New Accounts Are Cursed

Reddit, HN, Twitter - all need:

History (3+ months)
Karma/reputation
Regular activity

You can't just create account → post → expect success.

4. Some Platforms Are Broken for Indies

Q&A tools getting filtered on Q&A platforms? Ironic.

Accept it. Move on.

What I Should've Done

3 months before launch:

Build karma on Reddit (comment daily)
Build HN reputation (thoughtful comments)
Create Twitter presence (share progress)

Launch day:

Start with friendly platforms (Product Hunt, Indie Hackers)
Then leverage built-up accounts
Focus on what works

The Tool (No Hard Sell)

Since you read this far: CodeAnswr makes ChatGPT conversations searchable.

The problem:
Everyone uses ChatGPT now. But those chats disappear. Same questions asked 1000x times.

The solution:

Paste ChatGPT conversation
We extract Q&A
Scan for secrets (API keys, passwords)
Publish as searchable post
Google indexes it

Tech stack:

Frontend: SvelteKit + TailwindCSS
Backend: Cloudflare Workers + D1
AI: Claude via Puter.js
Cost: $0/month (free tiers)

Live at: https://codeanswr.com

Questions for You

What worked for YOUR launches?
How did you avoid shadowbans?
Which platforms should I try next?

Drop a comment! 👇

PS: If you're building something and need advice on avoiding my mistakes, happy to help!

I Built a Private Q&A Platform After Getting Frustrated With Stack Overflow

Mobin Poursalami — Sun, 14 Dec 2025 04:50:02 +0000

I spent the last few months building CodeAnswr, a private Q&A platform, after hitting some major pain points with Stack Overflow.

The Problems I Was Facing:

Waiting hours or sometimes days for an answer
Anxiety about posting code that might contain sensitive information
Limited multi-language support
Cluttered UI that makes it hard to focus

What I Built:

CodeAnswr focuses on three main things:

Privacy First - Before you post, it scans your code for API keys, passwords, and other sensitive data. No more accidental leaks.
Instant Answers - Using AI, you get immediate responses. Not perfect, but way faster than waiting for a human.
Multi-Language Support - Works with JavaScript, Python, Java, Go, C++, and more. Clean detection that actually works.

Key Technical Challenges:

Building this taught me a lot about rate limiting (especially across multiple APIs), handling abuse detection, and managing performance under load. The biggest surprise was how much users care about speed - even 100ms slower breaks the UX.

What I Learned:

Privacy concerns are HUGE. People mentioned this unprompted more than any other feature.
Speed matters more than I expected
Multi-language support is harder than it sounds
Building in public helped way more than marketing

Where I'm At:

It's still early stage. I'm working through improving answer quality, building out community features, and optimizing performance.

I'd love to hear from developers here about what you think. What would actually make you switch from Stack Overflow? Any concerns about AI-generated answers? What features matter most to you?

Thanks for reading. Feel free to check it out at codeanswr.com and let me know your thoughts!