Stop lost billable hours — AI-assisted time capture with lightweight project management

Many service businesses and knowledge workers routinely lose billable time because tracking is manual or forgotten—freelancers, agencies, legal and consulting firms, and internal project teams are most affected. This leakage scales: with 200M addressable businesses and an average PM/time SaaS spend of $140/year, the total market is about $28.0B, and firms report nontrivial percentage losses that erode margins and forecasting. Build an AI-assisted, passive time-capture layer that combines lightweight project management—automatic activity signals from calendars, apps and files—with a minimal user workflow to confirm and map captured minutes to projects and invoices. Focus on a compact product: a low-touch desktop/browser collector, privacy-preserving on-device models where feasible, simple project mapping rules, and one-click export to invoicing and popular PM systems. Market timing is favorable: hybrid/remote work increases the need for asynchronous visibility, AI-enabled automation now makes passive capture technically viable, and SMBs are consolidating subscriptions so an integrated time+light PM offering is attractive. With a Market Score of 86/100 and Revenue Potential of 90/100, a focused product can win by delivering measurable recovered revenue. To stand out in a medium-competition landscape you must demonstrate concrete ROI (for example, recovering a few percentage points of billable hours), prioritize privacy and accuracy over feature bloat, and integrate tightly with invoicing and a small set of ecosystem leaders rather than chasing every API. Be honest about the challenges—achieving high capture precision, overcoming adoption inertia, and balancing on-device processing costs with pricing—but a clean onboarding experience and pricing tied to recovered billables make this a defensible SMB play.