You do not need the product you pitched. You need the smallest thing that proves somebody will pay, built well enough that traction does not force a rewrite. That is a scoping problem long before it is an engineering one.
MVP in 7 weeks, $2M Series A — TechVentures
Four failure modes we see repeatedly. None of them is about writing bad code — all four are about deciding badly before any code is written.
Roles and permissions, an admin panel, three integrations, a dashboard and a mobile app — before a single person has paid for anything. Every week spent on the second-tier feature is a week of runway that buys no evidence and answers no question an investor will ask.
Scope a build against a budget, not a wish listSomeone got you live for a third of the price and left no tests, no environment separation, no migration history and a single shared login. It holds up until your first ten paying customers, and then it becomes the reason you cannot ship anything for two months.
What a rebuildable codebase actually looks likeThe deck claims forty per cent week-one retention. The product cannot prove it, because events were bolted on after launch, named three different ways, and never joined to a user identity. Any competent diligence process finds that in an afternoon.
Instrument before you spendDecisions about hosting, architecture, third-party dependencies and data ownership get made by whoever happened to be available. Six months later the cloud bill, the vendor lock-in and the missing repository access all turn out to be the same decision.
The ownership questions to ask before you signWhether that milestone is a paying cohort, a pilot, or a round. Here is what each service means at your stage.
The marketing site and the product are two different problems and we build them that way. A landing page you can rewrite weekly while positioning is still moving, and an application with environments, migrations, tests and a deploy pipeline from the first commit — because that is what makes week nine as predictable as week two.
React PHP Laravel Web Development in detail ServiceCross-platform unless there is a hard technical reason not to be: one codebase, both stores, and a release process your own team can run without us. Crash reporting, staged rollout and store review are set up before launch rather than after the first one-star review.
React Native Flutter Dart App Development in detail ServiceEarly distribution is founder-led, so we build around the founder: a content system one person can sustain between investor calls, a design language that survives a pivot, and social proof assembled from your first real users instead of stock testimonials.
Meta Ads Manager Google Analytics Hootsuite Digital Media Services in detail ServicePaid is a measurement instrument before it is a growth channel. Small disciplined tests to find which audience and which message actually convert, on a clean event schema, so the numbers in your next update survive someone checking them.
Meta Ads Manager Google Ads LinkedIn Campaign Manager Paid Ads in detail ServiceWhere AI removes a genuine cost — onboarding assistants, support deflection, document extraction, a scoring model. We will also tell you when it is a feature you should fake manually for three months, because at your volume a human doing it by hand is cheaper and teaches you more.
OpenAI API Google Cloud AI Dialogflow AI Integrations in detailWhat our startup engagements are actually judged on. Nothing here is a growth promise — it is what a well-run first build leaves you holding.
Full write-ups — the challenge, what we actually built, and what moved afterwards.
A fintech startup needed an MVP in 8 weeks to secure Series A funding. Required web app + mobile app + AI-powered financial insights.
MVP delivered in 7 weeks. Secured $2M Series A funding. 10,000+ users in first month. Platform scaled to 50K users without issues. Read the TechVentures case study E-Commerce — shared playbookStyleHub's legacy platform couldn't handle peak traffic. Slow load times caused 40% cart abandonment. Their ad spend had diminishing returns with no audience segmentation.
Sales doubled in the first month. Page load time reduced from 4.2s to 0.8s. ROAS improved from 2.1x to 5.8x. Cart abandonment dropped from 40% to 12%. Read the StyleHub.pk case study Healthcare — shared playbookHealthFirst was overwhelmed with patient queries. Their call center handled 500+ calls daily, with long wait times causing patient frustration.
70% of queries handled by AI. Patient wait time reduced from 12min to <1min. Staff saved 200+ hours/month. Patient satisfaction scores increased by 45%. Read the HealthFirst Clinics case study
Startup project
Data-driven content and community programme reaching 500K+ users across Meta and TikTok.
500K+ reach Open the GrowthGrid Social Campaign project
E-Commerce — same service
Full-featured online store with payment integration, headless CMS and sub-second load times.
2x sales in month one Open the StyleHub E-Commerce Platform project
Restaurants & Food — same service
Cross-platform ordering and delivery app with live tracking and kitchen-side dispatch.
25% more online orders Open the FoodChain Delivery App projectEight weeks is not a marketing number — it is what a single core loop takes when the scope is honest and the decisions get made on time.
Every proposed feature gets listed against the assumption it tests. Anything that tests nothing comes out of v1 and goes onto a roadmap you can show investors — which is worth more than shipping it would have been.
Auth, data model, the core loop and the deploy pipeline. Deliberately boring, and the entire reason weeks six to eight stay predictable. Environments and migrations exist from commit one, not from the first outage.
Launch to a real cohort with analytics, error tracking and a feedback path wired in on day one. The first week of usage data usually kills at least one assumption everybody in the room believed.
Two-week cycles driven by usage rather than opinion, a written record of the architecture decisions and why, and a handover that lets you hire in-house without renegotiating anything with us.
Want a number before you talk to anyone? Price the build with the website cost calculator, then sanity-check the payback against your runway with the ROI calculator.
One core loop, end to end, for one user type — plus authentication and, if payment is the assumption you are testing, payment. What does not go in: role matrices, a settings page, notification preferences, an admin panel you could replace with a database client for the first three months, and anything you are building because a competitor has it. If a feature does not change what you learn from the launch, it is v2.
We work on fees. In specific cases we will discuss deferring part of a payment against a funding milestone, but be sceptical of any agency that prefers equity — it usually means they would rather own a slice of your outcome than be measured on delivering it, and it makes the incentive to finish quickly disappear.
Yes, and it is often the best arrangement. We agree ownership boundaries up front — usually we take the parts that need to exist quickly and they take the domain logic — work in the same repository with real code review, and taper our involvement deliberately so knowledge transfers instead of evaporating when the invoice stops.
Repository access and commit history, whether staging and production are actually separate, whether a new engineer could deploy without you in the room, how much of the product is a wrapper around one vendor who could change their pricing, who owns the data and where it lives, and what cost per user looks like at ten times current volume. None of that requires elegance — it requires that somebody thought about it.
Managed services over anything self-hosted, a single region, generous free tiers used deliberately, budget alerts set on day one, and no Kubernetes until there is a specific reason that a person can articulate. Most pre-revenue startups can run comfortably in low hundreds of dollars a month; the ones that cannot usually made an architecture decision to impress someone.
We expect it — most of the startups we work with change something material in the first six months. That is exactly why we build the spine properly and keep the surface cheap: auth, data model and deployment survive a pivot almost intact, while the screens and flows that get thrown away are the parts that took days rather than weeks.
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