The problem: Anyone can send a fake request pretending to be Stripe or Beehiiv. Without verification, your system trusts imposters.
The solution: Every message gets a cryptographic stamp — like a wax seal on a letter. My code recreates the seal and compares. If it doesn't match, the message is rejected instantly.
// Check for stamp & timestamp const sig = req.get('x-signature'); const ts = req.get('x-timestamp'); if (!sig || !ts) return res.status(401); // Reject if > 5 min old if (Date.now() - parseInt(ts) > 300000) return res.status(401); // Recreate stamp & compare safely const expected = crypto .createHmac('sha256', secret) .update(JSON.stringify(req.body)+ts) .digest('hex'); if (!crypto.timingSafeEqual( Buffer.from(sig,'hex'), Buffer.from(expected,'hex'))) return res.status(401); next(); // Allowed through
The problem: Three different services send you customer updates. Without a pipeline, events get lost, duplicated, or arrive out of order.
The solution: One unified intake that verifies every message, archives the raw data for replay, then smartly upserts — so you always have exactly one clean record per customer.
// Verify sender's identity if (!verifySignature(req, secret)) return res.status(401); // Store raw event (audit trail) await supabase.from('webhook_events') .insert({ source: 'beehiiv', event_type: eventType, payload: req.body }); // Smart update: no duplicates await supabase.from('subscribers') .upsert({ email, source: 'beehiiv', status: 'active' }, { onConflict: 'email' });
The problem: AI can think and write code, but it can't actually run anything on your computer. It's stuck behind a wall.
The solution: A secure API that lets AI execute commands in an isolated sandbox. Authentication + timeout limits + output caps = safe remote control.
// Check the VIP pass if (req.headers.authorization !== `Bearer ${TOKEN}`) return res.status(401); // Ensure sandbox exists try { execSync("tmux has-session -t claude"); } catch { execSync("tmux new -s claude -d"); } // Run with timeout, cap output const timeout = Math.min(120,req.body.timeout); execSync(`tmux send-keys -t claude "${cmd}" C-m`); while (Date.now()-start < timeout*1000) { out = execSync(`tmux capture-pane -pt claude`); if (out.includes(prompt)) break; await sleep(200); } res.json({output:out.slice(-4000)});
Unified business platform: payments, analytics, automation.
Problem: Dozens of disconnected business tools.
One platform connecting Stripe, Supabase, Cloudflare, n8n with shared auth.
Dashboard for managing AI agents with role-based access.
Problem: Multiple AI agents need monitoring with different access levels.
Flask dashboard, JWT auth, role-based permissions.
AI code analysis that never leaves your machine.
Problem: Cloud AI tools require sending code to external servers.
Local ML models (FLAN-T5, Mistral). Zero external API calls.
Auto-launches, monitors, and restarts processes.
Problem: Manually managing background services is error-prone.
Automated spawning with failure detection and version tracking.
Real code editor for your phone.
Problem: Mobile code editors are terrible.
React Native app with syntax highlighting and on-device execution.
Intercepts and transforms network requests.
Problem: Need to inspect traffic without changing code.
Lightweight Node.js proxy for dev workflows.
Captures and debugs encrypted traffic.
Problem: Debugging encrypted service-to-service communication.
nginx + mitmproxy for full TLS/SSL visibility.
Lets AI safely run commands on your computer.
Problem: AI can think but can't act on your machine.
Authenticated API + isolated tmux sessions. See deep dive above.
Safe AI interaction testing environment.
Problem: Testing AI in production risks expensive mistakes.
Sandboxed Flask app with session management and replay.