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MuleRun
Your Digital Work Partner
Always on, acts before you ask.
Not a Chatbot. A Real Workforce.
Be Where the User Is
✉
Communication
SMS, Phone, Email, Discord, Telegram, WhatsApp, Slack
☍
Platforms
Web App, iOS App, Android App, Browser Extension
⚙
Hardware
Smart Speakers, Wearables (future)
❖
Embedded
REST API, iFrame Widget, SDK for 3rd-party Apps
An always-on workforce must be reachable through any channel —
NOT just a browser tab.
Native Computer Control
⌨
Browser Automation
Playwright-based browser control. Authenticated browsing with user sessions. Multi-tab orchestration. Form filling, data extraction, workflow automation.
⎕
Desktop Software
VNC-based desktop interaction. Office suites, design tools, enterprise software. User takeover at any time.
The Computer is not a sandbox — it's a full Debian workstation with root access, persistent state, and real browser sessions.
Specialized Data at Your Fingertips
🛒
E-Commerce
Product databases, pricing intelligence, inventory feeds, marketplace analytics.
📈
Finance
Market data, financial reports, compliance databases, trading signals.
📊
Business Intelligence
CRM data, industry reports, competitive intelligence, public filings.
Integrated as first-party Connectors — no API keys, no setup. Just ask.
Absorb the Best of the Ecosystem
✓
OpenClaw Integration
Curate and absorb proven capabilities from community. Evaluate, verify, and badge quality skills (MuleRun Verified). Lower the barrier for developers to contribute.
❖
Skills Marketplace
Open-source skills (free, community-driven). Commercial skills (creator monetization). Dynamic loading — skills activate on-demand per task.
Community creates → MuleRun curates → Users benefit
First-Party Cloud Capabilities
◫
Database
PostgreSQL, Redis, Vector
⚙
Compute
Jobs, Scheduled, Parallel
☁
Networking
Domains, SSL, Webhooks
☰
Storage
Drive, CDN, Processing
✎
Dev Tools
Git, Packages, IDE
Users don't need AWS. MuleRun IS the infrastructure.
An Agent That Remembers Everything
⏱
Session Memory
Current task context. Ephemeral.
☻
User Memory
Preferences, patterns, past decisions. Persistent, per-user.
★
Workspace Memory
Project context, file structures, team norms. Persistent, per-workspace.
◆
Knowledge Network
Collective wisdom from all users. Anonymized, aggregated.
After 10 tasks, MuleRun knows your preferences.
After 100, it works like a trained employee.
Trust Architecture
◎
Transparency
Real-time task logs and reasoning traces. VNC live view — watch the Agent work. User takeover at any time.
⚠
Control
Approval gates for sensitive actions. Granular permission system per Connector. Kill switch — instantly stop any task.
🔒
Security
Hardware-isolated Sandboxes (Firecracker microVMs). Credentials NEVER enter the Sandbox. SOC 2 compliance path. Encryption at rest and in transit.
Users won't delegate high-stakes work unless they can verify, control, and trust.
We build all three.
An Agent That Gets Smarter Over Time
✧
User-Level Learning
Analyze conversation history to extract preferences. Learn communication style, decision patterns, domain expertise. Optimize tool selection based on past success rates.
⚡
Task-Level Learning
Track which approaches work best for each task type. Build user-specific playbooks for recurring workflows. Auto-improve prompts based on feedback signals.
Week 1: generic assistant. Week 12: trained specialist.
Don't Wait to Be Asked
💡
Action Recommendations
"Your weekly report is due tomorrow — shall I draft it?" · "I noticed a price drop on the component you're tracking" · "Your competitor just published a new feature — here's my analysis"
📚
Knowledge & Skill Recommendations
Surface relevant Skills the user hasn't discovered. Suggest workflow optimizations based on usage. Share relevant Knowledge Network insights.
The best employee doesn't wait for instructions. Neither should MuleRun.
The Path to Digital Workforce
Now
Capable Work Partner
Computer + Connectors + Skills
Next
Self-Evolving Workforce
Memory + Drive + Proactive intelligence
Future
Managed Digital Workforce
Enterprise layer + Full delegation
MuleRun
Your All-Day Digital Workforce
“We're not building a better chatbot. We're building the workforce of the future.”
#2 on Product Hunt Weekly
Day 1: #1 Daily. Week 1: #2 Weekly — beating Claude and Manus, second only to Google.
Product Hunt Screenshot
Case 1: B2B Sales
The Daily Grind of B2B Sales
🔍
Finding Leads
Manually searching LinkedIn, directories, and trade sites for hours — most leads turn out irrelevant or already contacted.
📋
Tracking Progress
Scattered notes across spreadsheets, emails, and CRMs. Deals slip through the cracks when follow-ups are missed.
⏱️
Research Overhead
Before every call, you spend 20 minutes Googling the company, reading news, and guessing who the decision-maker is.
80% of a sales rep's day is spent NOT selling.
MuleRun gives that time back.
Case 1: B2B Sales
Search Potential Clients
AI Agent autonomously searches, filters, and compiles potential client lists with contact details and company intel — turning hours of manual research into minutes.
From lead discovery to contact enrichment to CRM entry — fully automated.
What took a team a full day now runs in the background while you close deals.
Case 2: E-commerce
The Pain Points of Daily E-commerce Ops
🔎
Product Research
3+ hours daily scrolling TikTok and social feeds, hunting for trends. Most of the time, you end up with nothing.
3h+ daily, pure overhead
✍️
Writing Listings
Each product needs a title, 5 descriptions, 13 SEO tags. 200 products = 200 sets of copy, all written by hand.
200 products × 19 fields
🖼️
Image Production
10 SKUs × 20 shots = 200 images. Outsource? $100 each. DIY? Photoshop crashes before you do.
1 launch = $20K spend
📊
Store Analytics
Dozens of stores, daily sales, pricing, margins. Data overload — and seeing it doesn't mean acting on it.
Dozens of stores = endless reports
💬
Customer Service
Buyer messages across stores, different time zones. Reply late and your rating drops. One person can't keep up.
Time zones + multi-store = missed replies
📦
Order Fulfillment
Print labels, match logistics, update tracking — hundreds of repetitive actions every single day.
Hundreds of repetitive ops/day
Case 2: E-commerce
Batch Images + Listings
200 products, 2,000 images batch-generated, plus 600 titles, SEO tags, and descriptions auto-generated. Two weeks of work, done overnight.
2,000
images
600
titles
2,600
SEO tags
1,000
descriptions
Case 2: E-commerce
Batch Orders: A Day's Work in 30 Min
Orders from dozens of stores — collect addresses, recipients, item details daily, format for logistics. Used to take all day. Now 30 minutes.
5h → 30min
90% time reduction
0 errors
No more copy-paste
Case 2: E-commerce
In E-commerce, the Results Are Already Here
1h
= a full day of manual work
Efficiency
10×
50 → 500 SKUs/month
Scale
$0
outsourcing cost — saved $2K/mo
Cost
0
extra hires to scale stores
Headcount
Case 3: Hospitality
Negative Reviews Analysis
AI Agent automatically collects, categorizes, and analyzes negative reviews across platforms, delivering actionable insights for hospitality businesses.
Case 4: Hospitality
Competitor Price Monitoring
Continuously monitor room prices of nearby competitor hotels — track rate changes across platforms in real time, so you never miss a pricing move.
Case 5: Finance
Customize Your Investment Research Assistant
Build a personalized investment command center. The Agent tracks markets, analyzes stocks, and delivers strategic intelligence — updated automatically.
Command Center Target Matrix Supply Chain Map
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Case 6: Create Game
One Sentence to Create Minecraft
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Case 7: Create Game
One Sentence to Create Parkour Game
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Case 8: Create Game
One Sentence to Create a Kids' Education Game
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Case 9: Create Video
One Sentence to Full Short Film
The user provides a single creative prompt — the Agent writes the script, generates visuals, adds voice and soundtrack, and delivers a finished 1–3 minute short film.
Single prompt to finished filmFull-pipeline Agent (script + visuals + audio + editing)Zero expertise required
Real Users. Real Work.
A developer in Singapore built a virtual fitting & body shape simulation tool.
An entrepreneur in Shenzhen created a competitive landscape visualization.
An entrepreneur in Australia built an AI furniture design platform.
A quant trader in Seoul deployed a Korean stock day-trading system.
An investor in Qatar connected brokerage APIs for portfolio management.
A stock analyst in Canada generated a clean energy YTD report with AI.
A digital marketer in Norway created Google Ads reports in Norwegian.
A sales rep in Italy automated Indeed outreach to CRM decision-makers.
A lawyer in Chicago drafted patent trial closing arguments and slides.
A skincare brand in LA auto-generated TikTok brand story posts.
From Every Industry. Every Country.
A vacation rental host in Portugal created Algarve coast TikTok content.
An e-commerce seller in Bahrain built a vintage vinyl record store online.
A content creator in Thailand built an Instagram auto-posting system.
An e-commerce seller in Kuwait launched a pre-owned luxury goods store.
An engineer in Vietnam extracted equipment specs from BIM models to Excel.
A Meta ads agent in Malaysia explored AI-managed ad account capabilities.
A marketer in Germany produced cinematic brand transformation videos.
A gaming enthusiast in Brazil built a retro pixel-art Tetris game.
An educator in Belgium OCR'd biology textbooks into structured HTML.
An HR manager in the Philippines analyzed contractor payroll tax data.
mulerun.com
“Skip the lobsters. Raise a mule.”