ProLynk helps clients find verified pros, get matched faster, request custom quotes, and book securely in one app.
High-trust service categories overlooked by horizontal platforms
Demand routing that helps clients reach relevant available pros faster
Flexible quote workflow for complex, event-based, and scope-based jobs
Stripe Connect, booking fees, and future pro growth products
Horizontal platforms treat every service the same. ProLynk turns fragmented, relationship-based local services into a repeatable booking workflow.
Cultural services, lessons, home chefs, event help, and other high-trust categories require context, scheduling, and confidence that generic listing sites rarely provide.
Rapid Match captures urgent demand, while Custom Quote supports higher-value requests where scope, timing, and expectations need to be clarified before booking.
Approved profiles, verification options, reviews, in-app chat, scheduling, and Stripe payments create a managed marketplace instead of a loose directory.
Three layers of moat that deepen with scale.
Every new pro adds supply; every booking, quote, review, and match adds demand signal. The platform becomes more useful as it grows, making it harder for a new entrant to start from zero.
ProLynk owns the path from request to quote, chat, schedule, payment, and review. For pros, daily schedule views, open slots, auto-blocking, unavailable dates, and booking management make the platform part of daily operations.
Admin-approved profiles, verification, review history, in-app communication, and secure payments create a trust layer that cannot be replicated overnight. Clients stay because they trust the supply.
A production-ready workflow spanning client demand, pro supply, and marketplace operations.
Diaspora and culturally specific communities are growing across suburban and metro areas, yet many cultural and personal services are still coordinated through phone calls, referrals, and informal messaging. Consumers now expect discovery, chat, booking, and payment in a single mobile experience, while infrastructure such as Stripe Connect and cross-platform mobile frameworks makes it practical to build a production-quality marketplace earlier and more efficiently.
ProLynk doesn’t just aggregate listings—it owns the workflow. Rapid Match, Custom Quote, scheduling, communication, payment, and trust all happen inside one platform. That creates higher conversion potential, lower leakage, and a data advantage that compounds over time. By starting with a focused vertical wedge, ProLynk can build community loyalty before expanding into adjacent service categories.
The model is intentionally transaction-led first, with expansion paths that grow as supply, demand, and repeat usage deepen.
Core monetization comes from completed bookings, including card-based transactions through Stripe Connect and clear platform fees where cash payment is part of the workflow.
Custom Quote supports larger and more complex jobs where pricing depends on scope, timing, and service expectations, creating room for higher-value marketplace activity.
Future levers include featured placement, subscription tiers for power pros, service-area boosts, premium lead tools, and category-specific growth products.
Base‑case projection for Collin County, Texas alone — modeled from ProLynk’s planned transaction fee structure. This is the pilot economic unit, with Conservative and Upside scenarios shown as sensitivity ranges below.
Base‑case model shown below. Actual results will depend on launch execution, pro supply density, repeat usage, and community distribution.
Frisco · Plano · McKinney · Prosper · Celina (Collin County, TX). Combined population near 1.0M, median household income above $100K, and one of the densest South Asian / Indian‑American diaspora concentrations in the United States.
ProLynk monetizes through transaction‑based platform fees across online card bookings, direct/cash bookings, and limited cancellation revenue.
Current planned fee structure:
| Fee | Rate & Cap |
|---|---|
| Online card bookings | 8% platform fee, capped at $300. Stripe processing (3% + $0.30) passes through to pro. |
| Direct/cash bookings | 5% booking fee, with $3 minimum and $200 maximum limits. |
| Cancellation revenue | Limited upside, not core revenue. Pro picks 0% / 5% / 8% / 10% of booking, capped at $300. ProLynk takes 30%, pro takes 70%. |
| No lead fees | $0. Pros do not pay unless real booking activity happens. |
Assumptions are intentionally explicit so investors can stress‑test each input.
Year 1 launch target assumes successful community partnerships, pro‑led distribution, and early repeat usage from core categories.
Target launch case: onboard verified pros, seed demand through community partnerships, and build early repeat usage from core categories.
Modeled growth assumes stronger pro density, deeper community distribution, and more repeat usage in recurring categories.
Base case assumes gradual community adoption and stronger recurring categories after the pilot wedge is validated.
Conservative case assumes lower early penetration and lower repeat usage. Base case assumes gradual community adoption and stronger recurring categories. Upside case assumes ProLynk becomes a trusted booking layer across multiple recurring and event‑based categories.
If ProLynk validates supply density, trust, and repeat usage here, the model can be expanded into similar high‑density metros such as Houston, Austin, Bay Area, New Jersey, Chicago, Atlanta, DC, and Seattle. Comparable metros may support similar economics if ProLynk can replicate supply density, trust, and community distribution.
Greater Houston (Sugar Land, Katy, Pearland) · North Austin (Cedar Park, Round Rock) · SF Bay Area (Fremont, Cupertino, Sunnyvale) · New Jersey / NYC metro (Edison, Iselin, Jersey City) · Chicago (Naperville, Schaumburg) · Atlanta (Cumming, Alpharetta) · DC metro (Loudoun, Fairfax) · Seattle (Bellevue, Redmond)
Some target metros may have larger addressable household bases than Collin County, but each new metro requires its own supply build, local trust, community partnerships, and repeat category adoption. Expansion should be sequenced after the pilot economics are validated.
We’re raising a pre-seed round to launch ProLynk and build out the early supply side. If you back early-stage marketplace and community infrastructure, we’d love to share more.
Reach out at hello@prolynk.app for the deck, a product walkthrough, or a founder conversation.