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Stoovo aggregates gig opportunities for drivers, couriers, and delivery workers across 6,000 platforms and surfaces which shifts pay best given location, vehicle, and schedule – targeting a 40% earnings gap the gig economy has left unaddressed.
ENTRY ANGLES
Aggregation layer across multiple gig platforms with public APIs or data partnerships · Scheduling intelligence that compounds value with accumulated platform data · Embedded financial services layer enabled by transaction history
VERTICALS
CAPABILITIES
API integration and data partnership negotiation with gig platforms, Scheduling optimization and intelligence algorithms, Financial services infrastructure and compliance
Most gig economy platforms pick a category and stay in it. Stoovo asks a different question: across every available gig platform simultaneously, which combination of shifts maximizes your hourly earnings given your location, vehicle, and schedule? The answer is the product.
Stoovo is an aggregator built for blue-collar gig workers – drivers, couriers, delivery workers – rather than the knowledge workers that most freelance platforms target. It integrates with 6,000 platforms and temp agencies, including Uber, Lyft, DoorDash, and FedEx, and surfaces only the opportunities with the best earnings-per-hour-and-mile ratio for the individual user.
The aggregation layer feeds an intelligent scheduling assistant that builds multi-platform work plans across days or weeks, dynamically updating as new opportunities appear and old ones close. The practical implication: a worker can start each morning, review the assistant's recommendations, accept them with a few taps, and trust that the system has already optimized their day better than manual browsing would.
Stoovo has extended the platform into basic financial services: income tracking and forecasting against planned gig schedules, and a credit-building feature where a user's on-platform work history generates a creditworthiness score that can be used to borrow from Stoovo directly.
The core offer – maximize earnings per hour and mile – is deceptively powerful as a product anchor. A single clear optimization metric both differentiates Stoovo from general-purpose job boards and makes the intelligent scheduling assistant a logical product extension. Once you've committed to that metric, the assistant builds itself: if the platform knows the optimization target, it can make scheduling decisions algorithmically.
The scheduling layer has a retention mechanic built in. An app that sits at the start of a worker's day, suggests a plan, and updates dynamically through the shift functions more like a calendar than a job board. Habit formation through daily utility is the strongest retention driver in consumer products, and Stoovo's architecture earns that daily touchpoint.
The financial services extension is where the business model gets genuinely interesting. There are two distinct visions Stoovo could be building toward: a gig-work aggregator that happens to offer financial services on the side, or a digital bank for blue-collar gig workers that uses the aggregator as a customer acquisition channel. The second framing is strategically richer. Customer acquisition cost for digital banks is extremely high, and most approach it through marketing spend. Stoovo acquires users by delivering immediate financial value – more money from the same hours worked – before asking for any banking relationship. The work history that accumulates on the platform is also a credit data asset that traditional banks can't replicate, making Stoovo's credit products structurally more accurate than generic FICO-based alternatives.
The addressable market for this model is larger than the freelance category most founders default to. Blue-collar gig work – drivers, delivery workers, temporary labor – represents a substantially larger volume of transactions than digital knowledge work. Job boards and hiring platforms in the professional space reflect a selection bias: that's where founders tend to look because that's where they came from.
Stoovo's model – aggregation plus scheduling intelligence plus embedded financial services – is a replicable template. The aggregation layer is tractable given that most major gig platforms have public APIs or data partnerships available. The scheduling intelligence compounds in value as more platform data flows through it. The financial services layer becomes viable once transaction history accumulates.
The most defensible entry point is identifying a geography where gig platform density is high but no intelligent aggregator exists yet, or a specific blue-collar category (healthcare staffing, trade work, event labor) where shifts are available from multiple platforms but workers still manually compare them. The winner in each of those markets won't necessarily be Stoovo – it will be whoever builds there first with a clear earnings-per-hour promise.