
MTG Studio
Free MTG Commander deck builder, mana analysis, combo finder and opening hand tests.

ManyChat
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Facebook Auto Reply
FB Automate
RYPL is AI software that replies to and moderates comments and DMs on Facebook and Instagram, plus comments on TikTok ads. Buyers get answers in under 60 seconds and spam is hidden within seconds. From $19/month, no comment limit.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | deckcipher.com | rypl.is |
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| Company | — | 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of DeckCipher yet.
RYPL is AI software that replies to and moderates comments and DMs on Facebook and Instagram, plus comments on TikTok ads. Brands running paid social use it so buyers get answers fast and spam comes down before it hurts the ad. AI replies. RYPL's agents answer comments and DMs in your brand...
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As answered by people managing DeckCipher and Rypl.
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.
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