Lensmor vs OpenComputer: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Lensmor and OpenComputer — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Lensmor
Lensmor
Event intelligence platform that profiles trade-show exhibitors and attendees, delivering verified contacts and real-time intent signals for B2B teams.
Key features
- Exhibitor Intelligence: Provides structured exhibitor profiles (industry, headcount, tech stack, funding stage) to help teams identify companies exhibiting at specific trade shows and match to ICPs.
- Verified Contacts: Delivers validated attendee and exhibitor email addresses and contact details to reduce bounce rates and improve outreach deliverability.
- Real-Time Intent Signals: Scans budget and intent indicators tied to events to prioritize high-value prospects and detect readiness to engage before the show.
- Event Discovery & Calendar: Global trade-show discovery with searchable dates, locations, industries, and tiers to select the right events for pipeline generation.
- Pre-Show Tools & Playbooks: Offers free tools (ROI calculator, ICP matcher, badge qualifier, floor-plan extractor) and templated playbooks for pre-show outreach and on-site execution.
- API & Developer Resources: Public API documentation and GitHub repositories enable programmatic access to event, exhibitor, and contact data for integration and automation.
- Lead Prioritization & Matching: ICP-matching and scoring capabilities to generate prioritized lists of exhibitors/attendees for targeted campaigns and sequences.
- Global trade-show calendar and open dataset (dates, locations, industries)
- Exhibitor profiling with firmographics (industry, headcount, tech stack, funding stage)
- Verified contact email delivery for attendees and exhibitors
- Real-time budget and intent signals to surface buying intent
- Official API for programmatic access to trade-show, exhibitor and contact data
- Open-source tooling and playbooks (ROI playbook, email/linkedin templates, event tools)
- No-code / low-code integrations: OpenClaw skills and agent examples, Claude plugin reference
- AI-powered utilities: ROI calculator, ICP matcher, badge qualifier, floor-plan extractor
- Freemium web dashboard for discovery and pre-show lead workflows
Best for
- Pre-Show Prospecting: Research upcoming trade shows to build targeted prospect lists of exhibitors and attendees with verified emails and intent signals for outreach campaigns.
- Exhibitor Qualification: Profile competitor or partner exhibitors by industry, headcount, and tech stack to inform booth strategy and onsite engagement plans.
- Targeted Outreach Sequences: Use verified contacts and ICP matches to craft pre-show invites, onsite meeting requests, and post-show follow-ups with higher conversion rates.
- ROI & Event Selection: Apply the ROI calculator and event discovery data to choose the right shows and budget resources for maximum return on investment.
- Automation & Integration: Integrate Lensmor's API into CRM or engagement workflows to automate lead enrichment, scoring, and export for sales sequences.
- Onsite Execution Planning: Extract floor plans and badge qualifiers to optimize booth staffing, schedule demos, and prioritize high-intent attendees during the event.
- Pre-show prospecting: discover shows, identify exhibitor matches and obtain verified contact emails
- Exhibitor research: analyze competitor/exhibitor profiles and tech stacks prior to events
- Outbound campaigns: generate targeted pre-show invites and onsite follow-ups using templates
- Event selection: filter and prioritize trade shows by industry, region, and tier
- Lead enrichment and intent scoring: combine contact data with budget signals for prioritization
- Automation & agents: integrate with conversational agents or automation platforms via API/OpenClaw skills
OpenComputer
Digger
Deploy managed AI agents as persistent, always-on cloud VMs with steerable execution and permanent HTTP endpoints.
Key features
- Persistent VMs: Always-on virtual machines with a full filesystem and OS access that survive restarts, so agent state is exactly where you left it.
- Elastic Compute: Resize memory (1-16 GB) and vCPU while a VM is running to match the workload of the agent harness.
- Instant Checkpoints: Snapshot any VM state to fork or roll back in seconds, recovering from bad agent runs without teardown.
- One-Prompt Deploy: Paste a single prompt into Claude Code, Codex, or Cursor to install the CLI, log in, initialize, and deploy an agent end-to-end.
- Permanent Agent URLs: Every deployed agent gets a stable HTTP endpoint reachable from Slack, webhooks, and cron jobs.
- Steerable Mid-Run: Interrupt and redirect long-running agents without killing the session, keeping durable state intact.
- Hibernate & Wake: Pause idle VMs to stop paying for compute and resume them instantly when the agent is needed again.
Best for
- Shipping B2B Agent Platforms: Provide end users of your Lovable/Devin/Bolt-style product with per-user VMs that remember installed dependencies and files across sessions.
- Long-Running Autonomous Tasks: Run overnight research, scraping, or refactor agents that need to persist context across many hours without a sandbox timeout.
- Slack & Cron-Triggered Agents: Wire a permanent agent URL to a Slack app or cron so a team can invoke the same agent state from anywhere.
- Rapid Agent Prototyping from an IDE: Turn a natural-language prompt inside Claude Code or Cursor into a live, invokable agent without provisioning infrastructure.
- Safe Rollbacks for Autonomous Coders: Use checkpoints to fork an agent VM before risky changes and restore instantly if the agent breaks its environment.