Gig Worker Rights Bot — Know Your Rights in Real-Time
Discovery Lens
C Combination Innovation
Two separate worlds finally connect — and the intersection is a product
One-Liner
a mobile app for gig workers that connects to their platform earnings data, compares against local regulations, and alerts them when they're being underpaid or misclassified.
Kill Reason
Gig workers are notoriously difficult to monetize directly — most won't pay for a rights app — and union or advocacy funding is unreliable at scale. The platform data access problem is structural: Uber and DoorDash do not provide open APIs to third-party apps, making the core 'connects to their platform earnings data' feature dependent on fragile workarounds or screen scraping that gig platforms actively block.
What do you think?
Related ideas you can explore free:
killed: WiFi signal-based spatial mapping does not have the precision required for building compliance enforcement, and the primary customer — municipal governments and inspectors — moves too slowly for startup sales cycles. Any IoT company can replicate the hardware stack from commodity ESP32 chips; there is no proprietary data asset that accrues over time.
killed: Security awareness training is a category already owned by KnowBe4, Proofpoint, and Mimecast — well-funded platforms serving millions of enterprise users. Deepfake simulation is a feature addition to existing phishing simulation workflows, not a standalone product category, and these incumbents are actively shipping it.
killed: Government information AI assistants are being built by civic tech organizations, state governments directly, and commercial players — USA.gov, state agency chatbots, and legal aid platforms. Consumer willingness to pay for government information access is near zero since citizens expect these services to be free, making the business model dependent on grant funding rather than commercial revenue.