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Autometa crm
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Autometa crm

Autometa builds engineered, AI-native and real-time software

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Autometa CRM is an AI-powered agentic CRM designed to help businesses manage leads, sales, communication, follow-ups, and workflows from one platform. It combines traditional CRM features with automation and AI agents that can perform actions, reduce repetitive work, and help teams operate more efficiently.

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Features

  • AI-powered sales agents
  • Lead & pipeline management
  • Workflow automation
  • Email & WhatsApp communication
  • Task, notes & reminder management
  • Meeting scheduling & integrations
  • Lead scoring & automatic assignment
  • Forms & landing page builder
  • Quotes, invoices & revenue tracking
  • Social media automation
  • Google & Meta Ads integrations
  • Custom fields & customizable pipelines
  • Third-party integrations
  • Real-time notifications & follow-ups
  • Team & role management
  • AI-assisted customer and sales operations


Use Cases

Lead capture and automatic follow-ups

Sales pipeline management

Lead qualification and scoring

Automated task creation and reminders

Email and WhatsApp outreach

Meeting scheduling and follow-up automation

AI-powered sales assistance

Customer onboarding workflows

Quote and invoice management

Marketing campaign automation

Social media scheduling and engagement

Landing page and form-based lead generation

Ad lead management from Google and Meta

Team lead assignment and workload distribution

Customer communication tracking

Repetitive sales and CRM task automation

Comments

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Autometa builds engineered, AI-native an...

Hey everyone 👋 I built **Autometa CRM** to make sales and customer operations simpler with automation and AI. Instead of managing leads, follow-ups, tasks, emails, WhatsApp, and workflows across multiple tools, Autometa brings everything together in one place. I’d really appreciate your feedback and would love to know what you’d like to see improved or added next. 🚀

zc c. v v v v v v v vvv

Engineering the CRM data model instead of bolting AI onto a generic schema is the right call - most AI CRMs fail because the context lives outside the records. How does it handle custom fields that a team already defined in another tool during migration?

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A software developer building an open-so...

So basically, this AI makes everything work on the site so what's the use of the SEO team then?

custom-img
Indie maker shipping static landing kits...

The quote and invoice tools sitting next to WhatsApp follow-ups is the part that stands out. Most CRMs stop at the pipeline and leave the money conversation in another app. Do the AI agents draft the next follow-up from the last WhatsApp thread, or only from notes stored on the lead?

The combination of WhatsApp follow-ups with quotes and invoices in one place is the most practical part here, since follow-up usually breaks when it lives in a separate tool. How does the lead scoring work in practice — is it rule-based, learned from past conversions, or both? I would also like to know what guardrails exist before an AI agent sends a message or updates a pipeline stage, since that is where agentic CRMs usually need the most care.

The agentic CRM angle is clear—especially combining email/WhatsApp follow-ups with pipeline scoring in one place. Curious how the AI agents handle edge cases when a lead replies mid-automation.

Nice focus on agentic CRM workflows — curious how agents behave when a lead replies mid-sequence.

The agentic CRM angle is clear

custom-img
A software developer building an open-so...

So basically, this AI makes everything work on the site so what's the use of the SEO team then?

Good engineering. The agentic CRM angle is clear—especially combining email/WhatsApp follow-ups with pipeline scoring in one place.

could helps businesses manage leads, sales, communication

The CRM automation triggers look well thought out. Does it support custom field mapping when syncing leads from web forms, and can sequences branch based on reply sentiment?

Looks nice, I like the UI

custom-img
Designer & Developer

I think this is better than Apollo for leads

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Autometa builds engineered, AI...
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Comments

custom-img
Autometa builds engineered, AI-native an...

Hey everyone 👋 I built **Autometa CRM** to make sales and customer operations simpler with automation and AI. Instead of managing leads, follow-ups, tasks, emails, WhatsApp, and workflows across multiple tools, Autometa brings everything together in one place. I’d really appreciate your feedback and would love to know what you’d like to see improved or added next. 🚀

zc c. v v v v v v v vvv

Engineering the CRM data model instead of bolting AI onto a generic schema is the right call - most AI CRMs fail because the context lives outside the records. How does it handle custom fields that a team already defined in another tool during migration?

custom-img
A software developer building an open-so...

So basically, this AI makes everything work on the site so what's the use of the SEO team then?

custom-img
Indie maker shipping static landing kits...

The quote and invoice tools sitting next to WhatsApp follow-ups is the part that stands out. Most CRMs stop at the pipeline and leave the money conversation in another app. Do the AI agents draft the next follow-up from the last WhatsApp thread, or only from notes stored on the lead?

The combination of WhatsApp follow-ups with quotes and invoices in one place is the most practical part here, since follow-up usually breaks when it lives in a separate tool. How does the lead scoring work in practice — is it rule-based, learned from past conversions, or both? I would also like to know what guardrails exist before an AI agent sends a message or updates a pipeline stage, since that is where agentic CRMs usually need the most care.

The agentic CRM angle is clear—especially combining email/WhatsApp follow-ups with pipeline scoring in one place. Curious how the AI agents handle edge cases when a lead replies mid-automation.

Nice focus on agentic CRM workflows — curious how agents behave when a lead replies mid-sequence.

The agentic CRM angle is clear

custom-img
A software developer building an open-so...

So basically, this AI makes everything work on the site so what's the use of the SEO team then?

Good engineering. The agentic CRM angle is clear—especially combining email/WhatsApp follow-ups with pipeline scoring in one place.

could helps businesses manage leads, sales, communication

The CRM automation triggers look well thought out. Does it support custom field mapping when syncing leads from web forms, and can sequences branch based on reply sentiment?

Looks nice, I like the UI

custom-img
Designer & Developer

I think this is better than Apollo for leads

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