Ben Snyder

Awards

Hackathons and shoutouts.

Omni Voice Publisher - 1st place

Omni Voice was a pragmatic take on voice-driven authoring years before Siri Shortcuts or Slack GPT existed. Rather than wait for platform-level integrations, I built a lightweight pattern matching engine that recognized intent and entity structure from simple spoken or typed statements.

Highlights

  • Commands like “Log a call with Acme about renewals” mapped directly to the right object, fields, and confirmation flows.
  • Voice and keyboard parity kept the prototype accessible for every agent and exec testing the concept.
  • Pattern libraries let us extend new verbs and nouns in minutes without retraining a full NLP model.

Lightning Command — 1st place

This hackathon sprint explored a universal command palette for admins and power users. Inspired by IDEs and Spotlight, Lightning Command collapsed navigation, search, and automation triggers into a single invocation.

What we proved

  • Search-as-you-type surfaced records, setup tasks, and Flow automations from a single interface.
  • Role-based scopes tailored the available commands so service agents, admins, and execs saw only what mattered.
  • A declarative JSON schema defined shortcut categories, making it easy for product teams to publish their own actions.

Life Chat — Honorable mention

Working with Alasdair Monk, we extended Live Agent beyond the browser and into hotels, resorts, and retail floors. Guests could walk up to a kiosk, scan a QR code, or message from their room to reach the exact staff member who could resolve their request.

Service innovations

  • Geofenced routing paired guests with the right concierge, housekeeping, or dining team in seconds.
  • Storefront merchandising moments let retailers experiment with guided selling and effortless upsells.
  • Dashboards tied interactions to revenue, proving on-prem chat could increase conversions and satisfaction.

Lightning sound design — Runner up

Partnering with an audio agency and design system peers, we orchestrated an auditory layer for Salesforce Lightning. The goal: enhance focus, reinforce completion states, and make error conditions clearer without creating noise.

Sound system pillars

  • A modular soundboard let admins choose palettes tuned for accessibility and workplace sound policies.
  • System events (new message, record save, error states) each shipped with variants for desktop and mobile contexts.
  • Engineering hooks exposed a simple API, making it trivial for product teams to opt-in and preview cues.

I engineered the experience end to end—wiring the framework, integrating haptic fallbacks, and documenting how partners could extend the library.