Marketplace
Marketplace
Have been interesting in joining existing businesses for partnership and expansions. Experienced entrepreneur with viable idea are my target

Prove one AI workflow before you fund production. CodyHire gives product and technology leaders a controlled working prototype, acceptance evidence, and a production roadmap in 10 business days. If the proof is strong, the same U.S.-based team can build the production system.
BeeLoved is a digital platform and end-of-life operating system designed to eliminate financial shock and administrative chaos for grieving families. * The Concept: We unify guided arrangement software, a bank-grade encrypted document vault, and an embedded $10,000 instant liquidity model directly into a simple mobile application—allowing families to cover immediate out-of-pocket funeral costs without waiting weeks for insurance claims. * The Stage: We are in the Pre-Launch MVP stage, backed by strategic GTM pilot distribution through trusted community anchors like Ronald L. Jones Funeral Chapels and non-equity advisory support from Naked Development. * Why We're Excited: End-of-life care is a massive, underserved $20B+ market ripe for empathetic disruption. We are replacing predatory pricing and panic with transparent software and immediate cash support, building a trusted brand that restores dignity to families when they need it most.

Nue Marketplace is an AI-powered procurement intelligence platform being built to help small and mid-sized businesses make smarter, faster, and more confident purchasing decisions. Today, business buying is often fragmented, time-consuming, and difficult to navigate, especially for SMBs that lack dedicated procurement teams or enterprise-level tools. Nue is designed to simplify that process by combining guided buying, supplier discovery, quote comparison, trust and risk signals, and AI-assisted decision support into one smarter procurement experience. Rather than just helping businesses search for products, Nue aims to help them evaluate options, compare suppliers, and make better business purchasing decisions. We are currently in the pre-revenue building stage, focused on product development, market validation, and ecosystem development. I’m excited about this opportunity because SMB procurement remains underserved, and I believe AI can make procurement intelligence more accessible, practical, and scalable for smaller businesses.
Dose Ninja is an AI-powered medication management platform built to make managing medications simpler, safer, and more engaging for patients, caregivers, and care organizations. Medication management is still fragmented across pill bottles, alarms, spreadsheets, portals, and apps that often stop at basic reminders. Dose Ninja brings medication schedules, dose tracking, adherence insights, caregiver workflows, safety tools, clinical reporting, and AI-assisted medication intelligence into one platform. The product is already built and operating with real users, and we've expanded beyond the original consumer experience into dedicated caregiver and care-facility workflows. Our model combines a freemium consumer product with premium subscriptions and a growing B2B opportunity for organizations responsible for medication adherence and coordination. The timing is especially compelling: healthcare is moving toward more patient-centered care, AI is creating new opportunities for useful medication intelligence, and an aging population is increasing the burden placed on family caregivers and care organizations. I started Dose Ninja after recognizing that medication management shouldn't feel like another medical chore. As a software developer, I had the ability to turn that idea into a working product rather than just a concept. I've built Dose Ninja from the ground up, taken it into production, attracted early users, and continue to develop the technology and business around what we're learning from real-world use.

Game-Time Wellness™ is building the coordination platform that unlocks a new revenue layer inside high-traffic physical venues. Millions of consumers spend predictable time inside gyms, sports bars, golf clubs, and hospitality environments, yet that dwell time has historically had no transaction layer. GTW connects venues, independent wellness providers, and consumers through scheduling, payments, trust, and AI-enabled matching — similar to how marketplace platforms transformed transportation, lodging, and food delivery. The opportunity is creating “post-arrival economics”: increasing venue revenue and customer engagement without requiring new real estate or traditional staffing models. Over three years, I have developed the platform concept, business model, consumer validation, operational framework, and investor materials. Research with 1,000 qualified consumers showed strong interest in convenient, on-site wellness services and indicated these services could influence venue choice and engagement. GTW is now preparing for a focused pilot with strategic partners.

Striking Tiger Media is an early-stage creative media and lifestyle company founded in March 2025. We help individuals, artists, entrepreneurs, businesses, and community organizations bring their ideas to life through video, audio, digital content, original apparel, and custom merchandise all through one trusted creative partner. We currently outsource direct-to-film (DTF) printing, which increases costs and turnaround times because of outside production schedules and shipping delays. This venture will fund the next stage of growth: securing a storefront, purchasing professional media and DTF equipment, building inventory, and bringing more production in-house. The storefront will serve as a central location for client consultations, content production, order pickup, retail shopping, and community collaboration. Bringing production in-house will improve quality control, shorten delivery times, expand capacity, and support recurring revenue through creative-service packages, custom merchandise orders, original apparel, and retail sales. We are excited to build Striking Tiger Media into a bold, recognizable lifestyle brand and an accessible creative hub that helps customers express their identity, promote their work, and connect with their community.

We're cooking something exciting at LightRail AI—a codesign (full-stack) system tackling data movement bottlenecks to slash costs and power in large-scale AI training and inference. 🔹 Fabric OS/LightOS (software deployment on existing clusters) optimizes collectives & interconnect utilization. 🔹 Next-gen NPU/photonic-era compute architecture, informed by real cluster traffic & power constraints Or visit our site: https://lightrailabs.ai

Ever wasted your time on an interview completely different than the candidate? Wanting to know why you you weren’t hired? Exciting way to fulfill the needs of both.

Authentica is an AI-powered authentication app for sneakers, designer bags, and luxury goods. Users get a verdict — Verified, Unverified, or Needs More Photos — from phone-camera photos alone, in under a minute. No shipping items off, no multi-day waits.
I'll add next just setting up my account first. I'll add next just setting up my account first. I will be back
We’re building infrastructure that puts deterministic boundaries between AI decision-making and real-world execution. Autonomous systems can reason, recommend, and propose actions, but consequential authority remains governed by explicit, verifiable rules rather than the model itself. The concept grew from investigating failures across AI systems, security, and autonomous infrastructure where the problem wasn’t that the model lacked intelligence—it was that nothing reliably separated a prediction from an authorized action. We’re developing a layered trust architecture for this gap: runtime authority controls, evidence and receipt generation, policy enforcement, and verifiable execution boundaries. The goal is infrastructure that makes increasingly capable AI systems auditable, governable, and ultimately insurable. We’ve already built and tested working components across verified software, runtime enforcement, cryptographic evidence, AI governance protocols, and GPU/AI infrastructure. We’re now moving from research prototypes and protocols toward a deployable product for organizations putting autonomous systems into consequential environments.