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Read App Clone Labs articles on app clone strategy, MVP scoping, SaaS architecture, marketplace builds, AI automation, product costs, and launch operations.
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110 founder-focused articles across 26 buying journeys.
Clone strategy
MVP scoping
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Showing 1-15 of 110 articles
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By Aditya Bhimrajka
A secure architecture for exposing SaaS data and actions through MCP with tenant isolation, scoped tools, approval gates, token boundaries and auditable execution.
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By Aditya Bhimrajka
A deadline-ready plan for identity, package ownership, signing keys and client handover across white-label Android app portfolios before regional enforcement begins.
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By Aditya Bhimrajka
A practical architecture for making marketplace catalogs, carts, payments, fulfilment and returns usable by AI shopping agents without surrendering merchant control.
Read postOperations
The admin panel is the first operating product, not a reporting screen added after launch.
Every automated workflow needs an exception queue and an authorised recovery action.
Support needs timelines and reason codes, while finance needs immutable money history.
MVP admin scope should prioritise control and explainability over dashboard decoration.
By Aditya Bhimrajka
Scope the operator tools a marketplace needs for onboarding, listings, orders, money, support, moderation, permissions and auditability.
Read postQuality and Launch
Review begins with a complete, working build and usable reviewer access—not a feature list.
Physical goods and services follow different payment rules from digital goods and subscriptions.
Location and other sensitive permissions need accurate purpose, minimal scope and functioning fallback states.
User-generated content needs reporting, blocking, moderation and reachable support.
By Aditya Bhimrajka
Prepare on-demand apps for Apple and Google review with complete accounts, privacy disclosures, payments, permissions, moderation and test evidence.
Read postProduct Engineering
Framework choice should follow a representative driver workload on the lowest supported device.
Maps, markers, background location and rapid state changes usually matter more than synthetic widget demos.
Flutter and React Native can both work; plugin maturity, native debugging and team skill often decide delivery risk.
Define frame, memory, battery and recovery tests before choosing a framework.
By Aditya Bhimrajka
Compare React Native and Flutter for map-heavy driver apps using workload tests, device constraints, lifecycle behaviour and team capability.
Read postSaaS Development
A restaurant brand, operating company and physical location are different entities and should not share one tenant ID blindly.
Tenant context must be enforced in data access, jobs, caches, files, search and analytics—not only in the UI.
Use configuration for branding and capabilities; avoid maintaining a separate code fork for each client.
Decide early whether each brand needs its own store listing or can operate inside one multi-brand application.
By Aditya Bhimrajka
A practical tenant model for restaurant brands, locations, menus, pricing, orders, permissions, domains, mobile releases and operational isolation.
Read postMarketplace Apps
An order status is not a financial ledger and a payout status is not a balance.
Record immutable money events, then derive balances and operator views from them.
Charges, transfers and payouts are different objects with different failure and reversal paths.
Webhooks must be idempotent because providers can deliver events more than once or out of order.
By Aditya Bhimrajka
Design marketplace money movement around charges, transfers, refunds, disputes, reserves, adjustments and reconciliation—not one payout flag.
Read postOn-Demand Apps
A working booking flow cannot compensate for too few available drivers in the launch zone.
Measure request coverage, acceptance, cancellation, pickup delay and driver idle time by zone and hour.
Start with constrained geography and operating hours before expanding supply across an entire city.
Incentives need eligibility, budget caps, fraud controls and a clear exit condition.
By Aditya Bhimrajka
A practical operating model for driver supply, marketplace liquidity, launch zones, dispatch quality, incentives, and service reliability.
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By Aditya Bhimrajka
A practical method for isolating map rebuilds, lifecycle work, and frame timing before making performance claims about Flutter rendering.
Read postTech Stack Benchmarks
Define financial and inventory invariants before measuring throughput.
Test duplicates, lock conflicts, worker failure, refunds, and reconciliation.
Name the NoSQL engine and disclose consistency settings.
Use the best data store for each workload rather than forcing one database everywhere.
By Aditya Bhimrajka
A method for comparing named database versions and consistency settings using disclosed order workloads, schemas, conflicts, latency, and failures.
Read postQuality and Launch
Price and AI usage do not themselves determine App Store approval.
Privacy, lifecycle behavior, ownership, and functionality require evidence.
Native Flutter compilation does not replace platform-specific QA.
Treat cheap scripts as prototypes until provenance and release readiness are proven.
By Aditya Bhimrajka
A technical review of the privacy, IP, lifecycle, minimum-functionality, and release risks hidden inside cheap AI-generated taxi application scripts.
Read postB2B Go-to-Market
Lead with an operating hypothesis rather than an application pitch.
Use channel economics, repeat demand, and support load to qualify fit.
Propose a bounded pilot with explicit success and stop conditions.
Respect existing marketplace channels instead of promising instant replacement.
By Aditya Bhimrajka
A practical B2B email sequence for selling first-party ordering software to multi-location restaurant operators without relying on generic app pitches.
Read postLogistics
A wallet is a ledger and operational system, not one screen.
Protect one complete paid-delivery loop in the first release.
Use verified, idempotent provider events for payment state.
Defer loyalty, balances, transfers, and complex payouts until validated.
By Aditya Bhimrajka
A bounded scope model for deferring wallet complexity while preserving payment confirmation, reconciliation, support, and a credible launch path.
Read postTech Stack Benchmarks
Benchmark active connections, update cadence, and fan-out together.
Report p50, p95, p99, errors, disconnects, memory, and CPU.
Use identical hardware, Redis placement, TLS, payloads, and warm-up.
Treat authorization and reconnect recovery as benchmark dimensions.
By Aditya Bhimrajka
A test plan for measuring driver-location fan-out with disclosed workload, environment, latency percentiles, resource use, and failure rates.
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