AI-Powered Social Outreach Platform

Multi-platform bot automation with local AI inference. Unified outreach across Twitter/X, Reddit & Email from a single system.

4 Weeks MVP Sprint
50+ Concurrent Accounts
7B Local AI Model
2 Devs Senior + Junior

Project Overview

The Market Has a Gap

The outreach tool market is fragmented. Users stitch together 4-6 tools, pay $200-500+/month, and still can't orchestrate outreach across more than two channels. Every existing product is either email-only, LinkedIn-only, or multichannel meaning just LinkedIn + email. True multi-platform orchestration across Twitter/X, Reddit, Instagram, and email from a single interface does not exist.

✓ In Scope — 4-Week Sprint

  • Hardware procurement and assembly
  • Ubuntu Server + Docker + PostgreSQL
  • Twitter bot core (scraping, engagement, DMs)
  • Reddit bot core (Dart HTTP, posting, karma)
  • Local AI inference server (vLLM/llama.cpp)
  • Proxy rotation and anti-detection
  • Monitoring (Prometheus + Dart Dashboard)
  • Account warming automation
  • Digi FiberLink internet connection

→ Out of Scope — Future Phases

  • LinkedIn automation
  • Instagram / Facebook / TikTok integration
  • Email sequence engine + warmup
  • Web-based UI / SaaS frontend
  • CRM and lead database
  • White-labeling and agency features
  • AI video personalization
  • Autonomous AI agents
  • Billing and multi-tenancy

Infrastructure

Hardware Build

Purpose-built desktop server for 24/7 bot operations with local AI processing. All prices verified against Romanian retailers, February 2026.

ComponentModelKey SpecsRON
CPUAMD Ryzen 9 7900X12C/24T, 4.7-5.6 GHz, 170W TDP1,592
GPUGeForce RTX 5060 Ti 16G16GB VRAM, Blackwell arch3,050
RAMCorsair Vengeance RGB DDR532GB (2x16GB) 5600MHz CL362,204
MotherboardASUS TUF Gaming B650-PLUSAM5, DDR5, PCIe 5.0, 2.5GbE713
SSDKingston NV2 1TBM.2 NVMe PCIe 4.0458
PSUCorsair RMe 2025 RM650e650W, 80+ Gold, Fully Modular480
CoolerCooler Master MasterLiquid 240 Atmos240mm AIO, AM5, dual ARGB369
CaseATX Mid-Tower (airflow)DeepCool CC560 / Corsair 4000D~400
TOTAL HARDWARE9,266 RON (~€1,864)

Monthly Operating Costs

ItemDetailsRON/mo
Residential Proxies50+ rotating IPs (Bright Data / Smartproxy)1,000
Captcha Solving2Captcha / Anti-Captcha API150
Cloud BackupBackblaze B2, ~100GB50
DomainAnnual cost amortized monthly8
Electricity~400W 24/7, ~290 kWh/mo150
InternetDigi FiberLink 1000 (940/450 Mbps)41
TOTAL MONTHLY1,399 RON (~€282)

Software Architecture

Tech Stack

🐧
Ubuntu Server 24.04 LTS
Stable OS, excellent Docker support
🎯
Dart (AOT compiled) + Python 3.12+
Orchestrator, API, dashboard (Dart); bot workers (Python)
🐳
Docker + Compose
Service isolation, reproducible deploys
🗄
PostgreSQL 16
Account data, logs, campaign state
⚡
Redis Streams
Job scheduling, rate limiting, consumer groups (via existing Redis)
🧠
vLLM / llama.cpp
Local 7B model serving (REST API)
📊
Prometheus
Metrics collection, alerting (dashboards via Dart)
📋
Loki + Promtail
Lightweight centralized log aggregation
🔄
Custom Proxy Manager
Health checking, geo-matching, rotation
🔗
Git + GitHub Actions
Code management, automated testing

Microservice Architecture

Bot Orchestrator
Central scheduler: account pools, task assignment, rate limits, account rotation on ban detection.
Twitter Worker
Playwright automation: session persistence, cookie management, fingerprint randomization, stealth plugins.
Reddit Worker
Dart-native HTTP via Reddit API. Posting, commenting, karma farming, subreddit targeting. Runs inside orchestrator.
AI Inference
REST API wrapping 7B model. Context-aware generation with quality scoring per message.
Proxy Manager
Residential pool: health checking, auto-rotation, geo-matching, per-account IP assignment.
Data Service
PostgreSQL management, backup automation (Backblaze B2), encrypted credential storage.
Flutter/Dart Dashboard
Custom monitoring UI: account health, ban rates, proxy status, AI quality scores, cost tracking. Replaces Grafana.

Feature Matrix

MVP, Growth & Roadmap

Multi-step sequence automation
3-5x reply rate vs single touch
Twitter bot: scraping, engagement, DMs
Primary outreach platform
Reddit bot: Dart HTTP, posting, karma farming
Community-based outreach
Local AI message generation (7B model)
Core value prop — zero API cost
Proxy rotation + anti-detection
Account safety and longevity
Account warming automation
Required 2-3 weeks before real outreach
Captcha solving (2Captcha)
Unblocks account creation at scale
Ban detection + account rotation
Automated recovery from bans
Prometheus + Dart Dashboard monitoring
Operational visibility
PostgreSQL + encrypted vault
Account security + analytics
Docker containerization
Service isolation, portability
Centralized logging (Loki)
Debugging, audit trail
Email sequence engine + warmup
LinkedIn automation (cloud-based)
Unified inbox (all platforms)
AI reply agent (auto-classify + draft)
Relationship graph / social mapping
Conversation memory / long-term context
Competitor response intelligence
Community authority building module
Multi-language / localization engine
Prospect response prediction scoring
A/Z testing with AI auto-optimization
Visual workflow builder
Native CRM integrations (HubSpot, SF)
Smart send-time optimization
Lead scoring (rule-based + predictive)
White-labeling + agency features
Webhook system with retry logic
Do Not Burn / prospect value tiering
Template / playbook marketplace
Offline event / conference integration
Instagram comment-to-DM automation
Facebook Messenger marketing
TikTok DM automation
AI video personalization
Voice message personalization at scale
Autonomous AI agent (full-cycle)
Intent signal detection across platforms
Social listening to outreach triggers
MCP protocol integration
Predictive deal acceleration
AI campaign strategist
SaaS multi-tenancy + billing

Research across 13+ competing tools identified these features as entirely absent from the market:

Relationship Graph

Maps connections between prospects to enable warm introduction paths. No outreach tool does this cross-platform.

Conversation Memory Engine

Persistent per-contact context across all platforms and campaigns. Every existing tool treats sequences as stateless.

Competitor Response Intelligence

Triggers outreach based on observable engagement with competitor content, not just generic intent signals.

Community Infiltration Module

Systematically builds authority in relevant communities before outreach, turning cold contacts into warm ones.

Multi-Language Cultural Adaptation

Not just translation but full cultural tone, formality, and convention adaptation per market.

Per-Prospect Channel Prediction

Recommends which platform to contact each prospect on, based on their observed activity patterns.

4-Week Sprint Plan

Execution Timeline

320 total person-hours. ~256 productive development hours after meetings, code review, and documentation overhead.

Week 01
Infrastructure & Foundation
Senior
  • Hardware assembly + Ubuntu
  • Docker + PostgreSQL + schema
  • Git + CI/CD pipeline
  • Proxy rotation + credential vault
Junior
  • Python env + scaffolding
  • Captcha API integration
  • Twitter account creation
  • Reddit creation + warming
Week 02
Bot Core Development
Senior
  • Twitter scraping (Playwright)
  • Anti-detection system
  • Rate limit handling
  • Ban detection + rotation
Junior
  • Reddit Dart HTTP integration
  • Post + comment system
  • Karma farming automation
  • Account warming scheduler
Week 03
AI Integration
Senior
  • Install 7B model on GPU
  • vLLM/llama.cpp REST API
  • Context-aware prompts
  • Quality scoring + filtering
Junior
  • Twitter engagement actions
  • Twitter DM outreach
  • Target user discovery
  • Personality profiles (5+ personas)
Week 04
Monitoring & Launch
Senior
  • Prometheus + Dart dashboard
  • Loki + Promtail logging
  • Alert system (Telegram)
  • Security hardening
Junior
  • Account health dashboard
  • Cost tracking dashboard
  • Scale test: 10-20 accounts
  • Runbook documentation

Milestones & Acceptance Criteria

W1 END
Infrastructure Ready
Desktop running, Docker up, PostgreSQL accepting connections, 50+ proxies rotating, 10+ accounts created per platform
W2 END
Bots Operational
Twitter and Reddit bots executing engagement actions through proxies without bans for 24 hours
W3 END
AI Pipeline Live
AI inference generating contextual messages at <2 second latency, integrated with both platforms
W4 END
Production Ready
50+ accounts active, monitoring live, alerts firing, runbook documented, 48-hour stability test passed

Team Structure

Development Team

DEV A
Senior Developer
€5,000/month
  • Focus: Infrastructure, architecture, security, AI, monitoring
  • Linux admin, Docker, PostgreSQL, ML/AI, networking
  • Architecture decisions, technology selection
  • Reviews all junior code before merge
  • Primary on-call: infrastructure + AI issues
DEV B
Junior Developer
€1,600/month
  • Focus: Bot logic, automation scripts, testing, docs
  • Python, Playwright, Dart, API integration, scraping
  • Implementation within assigned modules
  • Self-reviews, submits PRs for approval
  • Primary on-call: bot behavior + account issues

Communication: Daily 15-min standup, async Slack/Discord for blockers, Friday 30-min retrospective. Shared Kanban board.

Budget Summary

Project Costs

Hardware (One-Time)
€2,086
~10,366 RON
MVP Sprint (4 Weeks)
€6,600
€5,000 Senior + €1,600 Junior
Monthly Operations
€282
~1,399 RON/month
💡
Full Project Cost Summary
€8,686
Hardware (€2,086) + MVP Sprint Development (€6,600) = €8,686
Monthly operations (€282/mo) are recurring and not included in the project cost summary.

Risk Register

Risks & Mitigation

HIGH
Account bans at scale
Gradual warming (2-3 weeks), human-like delays, unique fingerprints per account, diverse proxy IPs
HIGH
Proxy quality issues
Test 3+ providers before committing, health monitoring with auto-failover, monthly provider review
HIGH
AI message quality
Extensive prompt engineering, quality scoring with threshold filtering, A/B test variants, human review first 100 messages
MED
Hardware failure (single point)
Automated Backblaze B2 backups, Docker Compose for reproducible rebuild, documented recovery
MED
Platform API changes
Abstraction layer between bot logic and APIs, modular design for quick adapter replacement
MED
4-week scope overrun
Clear priority ranking, cut monitoring/polish before core features, daily standup catches delays early
LOW
Legal / compliance risk
No personal data collection beyond public profiles, respect opt-out requests, operate within safe rate limits
LOW
Internet downtime
Mobile hotspot failover for critical monitoring, bot tasks are queued and resume automatically