SuprSend AI

<p>Hey Folks! 👋</p><p><br>I'm Nikita, co-founder of SuprSend. We've been building notification infrastructure since 2022 - used by 500+ companies to send customer engagement notifications across email, SMS, push, WhatsApp, Slack, MS Teams, and in-app.<br><br>Today we're launching the AI-first notification platform.<br><br>The problem: notification infrastructure has too many moving parts. Workflows, templates, preferences, tenants, channels, routing logic. New customers spent weeks just learning how things connect before writing code. We tried better docs, better UI — it helped but didn't solve it.<br><br>So we shipped 6 AI-native interfaces:<br><br>→ MCP Server - 24 tools inside Cursor, Claude, Windsurf. Build workflows, create users, manage preferences, debug delivery - all from your IDE. One prompt does what used to take 20 lines of API code.<br>→ CLI - notification config as code. Pull, version in Git, promote via CI/CD. Your notification stack ships like the rest of your code.<br>→ Agent Skills - domain knowledge loaded into AI context so it doesn't hallucinate your API.<br>→ SuprSend Agent - AI copilot in the dashboard for PMs and ops.<br>→ Slack Agent - trigger, debug, manage from Slack.<br>→ Claude Extension - use SuprSend directly inside Claude.<br><br>What makes this different from just "adding AI" to a product:<br><br>→ Every AI action follows notification best practices automatically: channel selection, frequency capping, preference cascades, spam avoidance. You don't need to be a notification expert. The AI already is.<br>→ Works across your entire team: engineers in Cursor, PMs in the dashboard, ops in Slack. One platform, every interface.<br>→ Production-safe: destructive operations are restricted, updates do read-before-write, production environments can be locked to read-only.<br><br>Results we're seeing:<br>→ Integration time: weeks → hours<br>→ Template creation: ~8 hours → 5 minutes<br>→ Test setup: 15 min manual work → one prompt<br><br>Free tier available - try it: <a href="http://suprsend.com/ai" target="_blank" rel="nofollow noopener noreferrer">suprsend.com/ai</a><br><br>Would love your feedback — what's missing? What notification problems are you still solving manually?<br><br>Happy to answer anything here! 🙌</p>

<p>I use the SuprSend Agent daily now. The biggest time saver is delivery tracing - when someone says "I didn't get the notification," I used to dig through logs, check preference settings, channel availability, workflow execution. Now I just ask the copilot "why didn't user X receive the confirmation" and it traces the entire path in 10 seconds. Used to take 15 minutes.</p>

<p>As a marketer, the Slack Agent is surprisingly useful. Quick lookups that used to mean opening the dashboard. "Show me delivery stats for my last campaign" or "what channel is working for campaigns sent to the free tier users" — now happen right in the Slack channel, visible to the whole team. For the 20 quick checks you do daily, it's way faster than switching apps.</p>

<p>The Agent Skills approach is smart. Pre-loading your notification schema into AI context means the model isn't guessing field names at inference time. At RetainSure we've been building customer-facing alert pipelines, and channel fallback logic when primary delivery fails is the hardest part. Does the MCP server surface delivery failures synchronously to the calling agent, or does it require polling?</p>