Food-Ordering Platform Modernization
Commission-based marketplace connecting home-chefs with consumers

Freshplate—a bootstrapped FoodTech scale-up—set out to reinvent neighborhood dining by connecting home-chefs directly to hungry customers. Its early Android MVP proved demand, but the codebase could not sustain growth: new chefs waited weeks for onboarding, peak-hour latency hit four seconds, and a fragmented delivery workflow left orders cold—literally.
With Series-A funding on the line, Freshplate needed an enterprise-grade, chef-centric ordering ecosystem—web, iOS, Android, and an integrated delivery stack—in just four months. It also had to double first-time user conversion before the next investor demo.
Steady Rabbit mobilised a Micro-GCC squad—a five-person Core team, Flex specialists for cloud and DevOps spikes, and a zero-cost Buffer bench. Across eight sprints we:
The result? Freshplate secured its Series-A term-sheet, surpassed 100 k monthly orders inside six weeks, and set the stage for national expansion—all without a single missed sprint milestone.
India-based hyperlocal FoodTech platform
2021
Commission-based marketplace connecting home-chefs with consumers
Android MVP (15 k users), rudimentary PHP backend, manual chef onboarding
Secure Series-A by proving scalable tech and hitting 100 k monthly order target
Freshplate’s USP is chef authenticity: each cook curates a limited daily menu, often from their own kitchen. The platform must therefore:
Operationally, Freshplate’s lean five-member dev team juggled backlog triage and prod firefighting. Leadership wanted a partner that could own the roadmap and deliver predictable, investor-credible velocity.
Micro-GCC Squad Design
With Plan-Left gates: Persona → Acceptance → Risk → Arch Sketch → Estimation → Capacity (SteadCAST) → Test Note.
Via Terraform Cloud; blue/green EKS deploys with automated rollback.
GitHub Actions, SonarCloud (quality gate ≥ A), Snyk OSS scans.
Amplitude events instrumented from Day 10; activation funnel baselined early.
30-minute demo + KPI dashboard; eliminates surprise slips.
Mapped chef + consumer journeys; prioritised “first hot meal in 30 min” KPI.
Event-driven micro-services, DynamoDB per-chef partitions, GraphQL BFF, S3 media pipeline.
Delivery API unreliability flagged; Flex DevOps to build circuit-breaker pattern.
Outcome: backlog locked, velocity forecast 92 SP/sprint, projected launch Week 16.
Every sprint closed with demo + KPI review; no stealth scope ballooning.
User Activation 27 % → 41 % (+14 pp) within 30 days of launch
Checkout Completion Time –32 % (43 s → 29 s) and drop-off cut by 29 %
Peak-Hour p95 API Latency 900 ms (meets sub-1 s SLA)
Average Delivery ETA 58 min → 36 min (–38 %) via courier orchestration
Chef Onboarding Cycle 10 days → 48 hours using self-service portal
Zero Critical Production Bugs during first 60 days; Sonar & Snyk gates blocked 19 high-sev issues pre-merge
Hit 100 k monthly orders six weeks post-launch → investor milestone unlocked
Secured US $6.5 M Series-A at 25 % higher valuation, explicitly citing “enterprise-grade tech stack”
Core-Flex Micro-GCC hit 97 % schedule adherence; premium paid back inside one sprint via cost-of-delay savings.
Added DevOps SME in 48 hours when IaC backlog surged; no recruiting lag.
Seven Plan-Left gates cut re-work 40% without heavyweight PMO overhead.
Product designers embedded in Sprint 0 workshops, ensuring business fit.
Weekly exec steering, real-time burn dashboards, and outcome-linked incentives—no surprises, ever.
Steady Rabbit did more than ship code—they de-risked our Series-A. The Core-Flex model meant we always had the right expert on call, and we never missed a sprint goal. Investors loved the numbers; our chefs love the portal; users love the speed.