u/CutHead2218

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Hi everyone, I'm new to the community and glad to be here!

I am an Italian entrepreneur with over 15 years of experience managing call centers and B2B sales networks. I am not a developer, but using Lovable I have managed to build a complex, multi-tenant Voice AI platform aimed at the Premium B2B market.

Our platform deploys AI agents that handle customer service, perform operational tasks (reading/writing to external CRMs and ERPs), book appointments, and provide strategic business insights by analyzing customer feedback trends. The architecture heavily relies on external API integrations (SIP trunks for voice, WhatsApp, Email, and Supabase as our backend).

Here in Italy, the tech community is extremely polarized right now. Traditional developers are actively gatekeeping, dismissing AI builders as "toys" that will collapse in production, while others see them as the ultimate go-to-market opportunity.

I want to bypass the noise and hear from people who are *actually* building businesses here. Specifically, I would love your thoughts on a few points:

1. Multi-tenant Scaling & Security: For those using Lovable + Supabase in a B2B context, how is the architecture holding up when scaling multiple tenants? Are there bottlenecks with RLS (Row Level Security) or data segregation?

2. Complex Integrations: My app relies heavily on external orchestrations (SIP trunks, CRMs). Have you hit a wall managing complex API workflows and edge functions entirely generated via prompt? When did you feel the need to bring in a traditional dev?

3. B2B Client Perception: Has the "vibecoding/no-code" stack ever been an issue during technical due diligence with larger/premium clients, or do they only care about the final operational result?

4. Success Stories: Is anyone here currently generating MRR (Monthly Recurring Revenue) with a B2B SaaS built primarily on Lovable?

Any raw feedback, technical warnings, or success stories would be incredibly valuable. Thanks in advance!

​

Hi everyone, I'm new to the community and glad to be here!

I am an Italian entrepreneur with over 15 years of experience managing call centers and B2B sales networks. I am not a developer, but using Lovable I have managed to build a complex, multi-tenant Voice AI platform aimed at the Premium B2B market.

Our platform deploys AI agents that handle customer service, perform operational tasks (reading/writing to external CRMs and ERPs), book appointments, and provide strategic business insights by analyzing customer feedback trends. The architecture heavily relies on external API integrations (SIP trunks for voice, WhatsApp, Email, and Supabase as our backend).

Here in Italy, the tech community is extremely polarized right now. Traditional developers are actively gatekeeping, dismissing AI builders as "toys" that will collapse in production, while others see them as the ultimate go-to-market opportunity.

I want to bypass the noise and hear from people who are *actually* building businesses here. Specifically, I would love your thoughts on a few points:

1. Multi-tenant Scaling & Security: For those using Lovable + Supabase in a B2B context, how is the architecture holding up when scaling multiple tenants? Are there bottlenecks with RLS (Row Level Security) or data segregation?

2. Complex Integrations: My app relies heavily on external orchestrations (SIP trunks, CRMs). Have you hit a wall managing complex API workflows and edge functions entirely generated via prompt? When did you feel the need to bring in a traditional dev?

3. B2B Client Perception: Has the "vibecoding/no-code" stack ever been an issue during technical due diligence with larger/premium clients, or do they only care about the final operational result?

4. Success Stories: Is anyone here currently generating MRR (Monthly Recurring Revenue) with a B2B SaaS built primarily on Lovable?

Any raw feedback, technical warnings, or success stories would be incredibly valuable. Thanks in advance!