Hotplate vs Wheelhouse
Side-by-side trajectory, velocity, and editorial themes.
Post-rebuild, Hotplate is shipping the food-creator features its old portal couldn't.
Having rebuilt its seller portal in March to move faster, Hotplate is now cashing in that velocity: review replies, a native iOS portal app, an expanded referral program (20% of fees for a year), self-serve gift cards, payment links for manually created orders, and an 80-plus-item batch of portal improvements including an AI 'Get help' assistant. It serves 5,000+ independent food creators running drop-based sales.
The direction is completing the operator toolkit around drops — payments, reviews, gift cards, referrals, and mobile — for solo food businesses that previously stitched these together with Venmo, DMs, and spreadsheets. Each release closes a manual workaround, consolidating the business into the portal.
Expect continued net-new features on the rebuilt portal — the team signals many more requested workflows queued — with mobile and drop-management depth likely next. No pivot beyond deepening the drop-commerce platform is visible.
Wheelhouse is making its whole revenue-management stack promptable
Wheelhouse is opening its revenue-management platform to programmatic and AI-driven use. It shipped an MCP server exposing 58 tools at claimed 1:1 parity with the UI, backed by a new set of RM API endpoints (history, sync, segments, teams) — and is running an API hackathon to seed usage. In parallel it keeps deepening pricing intelligence: neighborhood occupancy benchmarking, AI-detected local events on the calendar, and more precise historical anchoring for price floors.
Two reinforcing bets: an API-first surface that lets operators (and their AI assistants) drive pricing from code instead of clicks, and richer market-relative signal so those decisions are better informed. The MCP move is the directional one — it turns Wheelhouse from an app you log into a set of levers an agent can pull. The pricing-intelligence releases (neighborhood metrics, event detection, anchoring sources) suggest the differentiation is shifting toward data quality and market context.
Expect the RM API and MCP surface to keep expanding toward full write parity and more operators building automation on top; the pricing-intelligence cadence points to more neighborhood and demand-signal metrics next.
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