Freelancers using Sentry in Kannapolis
Freelancers using Sentry in Kannapolis
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Mike Perkins
pro
Kannapolis, USA
Turning messy business problems into working software.
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Turning messy business problems into working software.
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MessyVault is a smart storage and asset management platform designed to give people a clearer picture of what they own, where it’s stored, and what it’s costing them. I designed and built the experience around visual inventory tracking, storage organization, access activity, item management, billing visibility, and reminders—all brought together in one simple dashboard. The goal was to turn an often messy, offline process into a practical digital system that makes stored belongings easier to track, manage, and understand.
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I designed and built MessyProof to solve a growing problem with AI-built software: generating an application is getting easier, but understanding what was actually built — and whether it’s production-ready — is still difficult. MessyProof acts as an independent verification layer, analyzing an application’s architecture, dependencies, integrations, changes, security signals, and production readiness. It turns that analysis into a plain-English App Passport backed by evidence rather than assumptions. I led the product strategy, UX, verification model, application architecture, integrations, and go-to-market positioning from concept through implementation.
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MessyAPI is a production-ready developer infrastructure platform I built to eliminate repetitive data utility work. It gives developers one API to clean, validate, match, transform, protect, and analyze messy data instead of rebuilding those capabilities for every application. I designed the platform around real production requirements, including API-key authentication, tenant isolation, usage metering, rate limiting, idempotency, asynchronous jobs, retries, webhooks, observability, and secure data handling. MessyAPI also includes JavaScript and Python SDKs, OpenAPI, MCP support, CLI tooling, RapidAPI integration, interactive testing, and composable workflows for chaining multiple data operations together. The goal was simple: turn common data infrastructure developers repeatedly build themselves into one reliable API.
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I designed and built MessyFlow as a growth intelligence platform that turns real performance data into actionable growth decisions. It brings product research, positioning, content strategy, experiments, performance measurement, and AI-assisted insights into one operating system. Rather than just reporting metrics, MessyFlow identifies patterns across measured outcomes, surfaces what is performing, and helps turn those findings into the next experiment. The platform includes a Growth Command Center, research library, positioning tools, playbooks, content studio, experiment management, performance tracking, findings history, integrations, and an AI assistant called Messy. I led the product strategy, UX, data model, workflow design, analytics system, AI experience, and implementation from concept through production.
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