# How to Vibe Code Your Own Thrumble (and Stop Paying for It)

> The Future Is Calling

- Site: https://thrumble.ai
- Category: Voice AI & Telephony Automation
- Platforms: Web app
- Verdict: **Solid side project** (62/100 vibecodeable)
- Estimated effort: 2-3 weeks part-time

## Verdict

You can build a functional personal voice-agent clone using modern developer telephony APIs, but matching sub-450ms enterprise audio latency and carrier-grade number reputation takes serious plumbing.

The core loop of orchestrating a voice agent over phone lines has become radically more approachable thanks to platforms like Vapi and OpenAI's Realtime API. However, a solo developer attempting to clone Thrumble will quickly hit friction with real-world telephony edge cases: SIP trunk webhooks, managing outbound call queues without getting flagged as spam by carriers, and fine-tuning barge-in handling so the AI doesn't talk over the user. Because Thrumble hides its pricing behind a sales demo, paying them makes financial sense only if you need production compliance; building it yourself is a rewarding technical challenge for an indie dev.

### What you can't replicate

- Verified carrier caller ID relationships that bypass spam filters
- Pre-built enterprise compliance certifications (HIPAA/SOC 2)

## What it does

AI-powered voice platform automating inbound and outbound telephone communications for sales, customer support, and lead qualification.

### Core features

- Real-time speech-to-speech voice agent pipeline (<450ms latency)
- Telephony integration with SIP trunks and phone number provisioning
- Batch outbound calling campaigns with concurrent dialing queues
- Persona configuration (voice model, tone, language, knowledge base)
- Inbound call routing and automated qualification logic
- CRM sync and conversation transcripts with qualification scores
- Bilingual voice support (e.g., English and Spanish)

## The business

### Pricing

- Discovery / Enterprise: Custom — Hidden pricing model requiring a sales discovery call.

Founded 2026.
Team size: Unknown.

## The hard parts

- Achieving sub-450ms conversational latency across websocket audio streams and model inference
- Handling natural user interruptions (barge-ins) and silence detection in real-time audio
- Managing carrier spam filters, STIR/SHAKEN caller ID attestation, and SIP trunking reliability
- Orchestrating high-throughput async batch-calling queues without hitting telephony rate limits

## How to vibe code Thrumble

### Prerequisites

- Node.js (free): Runtime for running the Next.js frontend and backend orchestration workers.
- GitHub (free): Source control and deployment pipeline integration.
- Twilio Account (Pay-per-use (~$1.15/mo per number + usage)): Required for phone number provisioning, SIP trunking, and PSTN connectivity.

### Recommended AI tools

- Claude Code: Best-in-class terminal agent for scaffolding complex full-stack web applications and integrating real-time API webhooks.
- Cursor: Ideal for fine-tuning UI components, dashboard analytics views, and reviewing code diffs.

### Stack

- Frontend: Next.js with Tailwind CSS and shadcn/ui
- Backend: Next.js API Routes / Vercel Serverless Functions paired with Vapi and Twilio webhooks
- Database: Turso (SQLite at the edge)
- Auth: better-auth
- Other: Vapi API, OpenAI Realtime API, Resend

### Hosting

- Vercel (Hosting the Next.js dashboard and handling webhook API endpoints): $0-20/mo
- Turso (Storing agent personas, call logs, transcripts, and campaign state): $0/mo

### Build guide

1. **Project Scaffolding & Database Schema** — Initialize a Next.js project with Tailwind CSS, configure better-auth, and set up Turso SQLite tables for agents, call logs, and batch campaigns.

```
Scaffold a new Next.js 16 application using App Router, TypeScript, and Tailwind CSS. Integrate better-auth for secure single-user or team authentication with email/password. Set up a Turso libSQL database connection via Drizzle ORM with tables for 'agents' (id, name, personaPrompt, voiceId, language, createdAt), 'calls' (id, agentId, toNumber, status, duration, transcript, createdAt), and 'campaigns' (id, name, status, totalLeads, completedLeads). Implement a clean SaaS dashboard layout using shadcn/ui primitives with a sidebar navigation for Agents, Live Calls, Batch Campaigns, and Analytics.
```

2. **Agent Persona & Configuration UI** — Build the interface to configure AI voice agent personas, selecting voice models, system prompts, tone, and language settings.

```
Create a comprehensive Agent Configuration view in the dashboard. Build a form where users can define an agent's name, role (e.g., Receptionist, Sales Assistant), tone, system prompt knowledge base, and primary language (English, Spanish). Store these configurations in the Turso 'agents' table. Add a preview testing card that connects to a browser microphone using WebRTC so the user can test talking to the configured agent persona directly in the browser before deploying it to a phone number.
```

3. **Telephony & Vapi Voice Agent Integration** — Integrate Vapi API and Twilio to provision phone numbers, connect agent personas, and handle real-time inbound/outbound audio streaming.

```
Integrate the Vapi API backend into Next.js server actions. Create endpoints to programmatically provision or link Twilio phone numbers to specific agent personas stored in the database. Implement webhook handlers to receive call lifecycle events (call-start, call-end, transcript-update) from Vapi. Ensure call transcripts and metadata are automatically written back to the 'calls' table in Turso upon call completion, updating the dashboard with live status indicators.
```

4. **Batch Calling Campaign Engine** — Build an outbound batch calling system that queues leads, initiates calls through the telephony provider, and tracks conversion metrics.

```
Build a Batch Campaign management screen where users can upload a CSV of leads (name, phone number, metadata) or input them manually. Implement an asynchronous batch-calling queue processor using background server actions or Vercel cron jobs that iterates through the contact list, invokes the Vapi outbound call API respecting rate limits, and tracks progress (calls sent, demos booked, failed calls). Display real-time progress bars and aggregate metrics on the campaign details page.
```

5. **Analytics Dashboard & Call Transcript Viewer** — Develop the analytics view showing call volume, latency stats, duration averages, and searchable transcripts.

```
Build a comprehensive Analytics and Call History dashboard. Display key performance indicators: total calls made, average call duration, latency metrics (<450ms simulated tracker), and conversion rates. Include a searchable data table of past calls showing caller details, full conversation transcripts, AI-extracted qualification scores, and audio recording playback links fetched from the telephony provider storage. Polish the UI with responsive charts and loading states.
```

### Cost vs paying

**Starting costs (one-time):**

- Twilio Phone Number Registration: $1.15 one-time
- Vapi / Telephony API starting credits: $10 one-time
- Total: ~$11.15 one-time

**Ongoing costs (monthly):**

- Vercel / Turso hosting: $0/mo (Hobby tiers)
- Twilio number rental & Vapi voice minutes usage: ~$15-30/mo (depending on call volume)
- Total: ~$15-30/mo

- Paying for the SaaS instead: Custom / Sales-gated (Est. $300+/mo for volume)
- Build time: 25-35 hours
- AI tool credits: $20 (Claude Pro)
- Break-even: Immediate if replacing enterprise tier, but primarily built for learning and personal calling workflows.

## Sources

- [Thrumble AI Official Website](https://thrumble.ai)
- [Thrumble Case Studies - Horizon Realty Group](https://thrumble.ai/case-studies/how-horizon-realty-qualified-1-100-buyer-leads-a-month-and-doubled-agent-showing-productivity)