Hey everyone,

We’re hiring a Business Development Executive at BetaxLab, a growing software company focused on WhatsApp Automation, CRM solutions, and custom software development.

If you enjoy talking to people, understanding business needs, giving product demos, and helping clients get started with software solutions, this could be a good fit.

Role Responsibilities:

• Client communication via calls, WhatsApp, and email
• Product demos and solution presentations
• Lead follow-ups and relationship building
• Client onboarding and setup assistance
• Coordinating with the technical team for project requirements

Requirements:

• Good Hindi communication
• Basic English communication
• Basic computer knowledge
• Comfortable talking to clients
• Freshers can apply

Location: Hybrid (Jaipur-based preferred)

If interested, send your resume + short voice intro to info@betaxlab.com

If you know someone who’d be a good fit, feel free to share.

We’ve successfully submitted our application, and Meta indicated the review process may take up to 5 business days.

BetaXLab is building in the WhatsApp Business ecosystem to help businesses manage communication, automation, and customer engagement at scale.

For founders or teams who’ve gone through the Meta Tech Partner application process:

• How long did your approval actually take?
• Any common reasons for delays or rejection?
• Anything we should proactively prepare during the review?

Would love to hear experiences from others who’ve been through this process.

#Meta #WhatsAppBusiness #MetaTechPartner #SaaS #Startup #B2B #BetaXLab

I’m currently building a CRM for SMBs where most communication happens on WhatsApp, and I kept running into scaling + maintainability issues with bots.

So I moved to a 5-layer chatbot architecture — sharing it here in case it helps someone (and I’d love feedback from folks who’ve built similar systems).

Building this as part of 👉 betaxlab

🧠 The 5 Layers

1. Channel Layer (Entry Point)

This is where all messages come in.

• WhatsApp (via Meta API)
• Future: Instagram, Web chat, Email

Responsibilities:

• Receive messages (webhooks)
• Normalize payloads
• Push into queue (Kafka / Redis)

👉 Decouples platform-specific logic

2. Message Processing Layer

Handles raw message understanding before any bot logic kicks in.

Responsibilities:

• Message validation
• Spam filtering
• Media handling (image, doc, video)
• Session mapping (user → conversation)

👉 Acts like a “sanity + structure layer”

3. Bot Execution Engine (Core Brain)

This is where most systems get messy — tried to keep it modular.

Responsibilities:

• Flow execution (node-based bots)
• State management
• Rule engine (if/else, conditions)
• Intent mapping (basic, not heavy AI)

👉 Inspired by Dialogflow but keeping it deterministic for SMB use cases

4. CRM Action Layer

Where chatbot actually drives business outcomes.

Responsibilities:

• Create/update leads
• Assign sales reps
• Update pipeline stages
• Trigger tasks / reminders
• Send campaigns

👉 This is where bots connect to revenue

5. Analytics & Feedback Layer

Often ignored early, but super critical.

Responsibilities:

• Conversation tracking
• Funnel analysis (lead → conversion)
• Bot drop-off tracking
• Campaign attribution

👉 Helps answer: Is the bot actually working?