Rypl's answer:

Minutes to set up, replies that actually drive intent forward, strong brand-safety controls, clear analytics, and pricing that fits small teams plus native Facebook workflows (auto-like, hide, escalate) so you engage, sell, and protect without extra tools.

Rypl's answer:

SMBs and growth teams with active Facebook Pages e-commerce brands, local services, restaurants, creators, and agencies that need consistent, on-brand replies to capture leads from comments.

Rypl's answer:

RYPL was built after seeing “lead leakage” in Facebook comments/DMs: warm buyers asked questions, no one answered in time, and sales died. The goal is a fast, on-brand AI that treats every comment like a sales touch without feeling like automation.

Rypl's answer:

Next.js/React, FastAPI (Python), Node services, PostgreSQL/Supabase, Redis, Docker, Cloudflare (Workers/Turnstile), Meta Graph API & Webhooks, and LLMs for language understanding and generation.

Rypl's answer:

Confidential Data

Rypl's answer:

RYPL focuses on sales-first, human-like replies for Facebook comments. It reads per-user context, keeps your brand tone, and blends LLMs with guardrails (spam/negativity filters, auto-like, escalation rules) to convert comment threads into real conversations at low latency and without sounding like a bot.