Timespade builds software for startups in 28 days across five stages: Discover, Design, Develop, Validate, and Scale.
Our Process
From idea to live product. Five clear steps.
250+ AI tools, apps, and data platforms. Same process every time.
Everything begins with research
Most products don't fail because they're built badly. They fail because nobody checked if they should exist, in the first place.
Before we build, we look at three things:
Demand
We ascertain it using data, comparable products, and sometimes just talking to real people.
Positioning
We look at what's already out there and whether the gap is real. If yes, how big is it.
Journey
We wireframe our user path to check if our planned solution is truly the fastest route to value.
How we plan the build
Twenty-eight days is not a lot. To make it work, we lock a few things down early and stay disciplined about the rest.
Wat+Agi Model
Since the plan and vision is fixed, but the path to get there is not, we combine the discipline of Waterfall project management with the nimbleness of Agile methodology. Hence, we coined WatAgi.
See everything, live
Task boards are shared from Day 1. Every ticket has an owner, a status, and a due date. Standups happen daily. If something is stuck, you know the same day we do. Transparency is non-negotiable.
8 days
Timespade
vs
4–8 weeks
Industry average
AI drafts. Designers craft.
You approve in 8 days.
Designers set the direction
Senior designers study your brand, map the UX, and define the design system. These become the guardrails for everything that follows.
AI explores within guardrails
Using that system as input, AI generates dozens of layout and component variations. Designers pick the strongest directions and refine from there.
Designers build, you control
No static mockups. Designers build the actual front end and hand you a live link. You can request any change, even swapping a into a
We set up the stack
Repos, cloud infra, CI/CD, model endpoints and vector stores, if the project calls for them. All configured before development starts.
We have seen teams skip this and then trying to build it mid-sprint.
It is one hellish sprint.
We build the engine. You see it work.
Design gave you a working frontend. Now we build the server-side systems that power it.
The API contract comes first
Endpoints, payloads, and auth flows all get defined before a single route is written. Whether it is a payment ledger or a marketplace, the API contract keeps frontend and backend from colliding.
We find the bugs
before your users do
Most teams rush to launch and patch later. We go through screens, APIs, AI outputs, and infrastructure before the first user ever touches it.
Our QA team hunts for anything that can break
- Cross-device QA
- AI model validation
- Load testing
- Security audit
Ship to a small group, fix fast, then launch
- Beta deployment
- Performance tuning
- Drift monitoring
- Final polish
Your product launched.
We stay on it.
Most agencies disappear after v1. We keep a team on your product for as long as you need one.
Dedicated team
The engineers who built it don't disappear. Same team, no ramp-up.
Feature releases
We ship updates based on real user data and your roadmap, not guesswork.
Performance watch
We track latency, error rates, and uptime. If something breaks, it gets fixed that day.
Scale on demand
Your infrastructure and AI models scale as you grow. No midnight scrambles.
FAQs
Questions about our process
Revisions within the current phase are built into the process. If you want to revisit something from a previous phase, like reworking a design after development has started, we scope the impact and adjust the timeline honestly. It is rare, because each checkpoint is designed to catch misalignment early, but it is not a problem when it happens.
Up to you. Most founders do short check-ins a few times a week and review demos at the end of each phase. You don't need to be technical or manage the build yourself. We send plain-language updates so you always know where things stand.
It happens. Each phase has a checkpoint before the next one starts, so if your thinking changes after a demo or user feedback session, we adjust scope there. You are never locked into a direction that stopped making sense two weeks ago.
You get access to the live staging environment from day one of Design. Features ship to staging as they are completed, so you can see real progress at any point. We also send short async updates between check-ins covering what shipped and what is coming next.
Everywhere, but differently depending on the phase. In Discovery, AI handles market benchmarking and wireframe drafts. During Design, it generates component libraries and runs accessibility checks. In Development, every commit goes through AI code review before a human sees it. Validation is where it probably saves the most time, generating thousands of test scenarios that a manual team would never get through.
Scale is ongoing. We keep shipping features, tuning performance, and joining strategy calls as a virtual CTO. Most of our client relationships run for years. The product does not stop changing just because it launched.
The code that launches is the code you keep building on. No throwaway prototype, no plans to rewrite it later. It is tested, documented, and clean enough for any engineer to pick up. The architecture handles ten times the users without a rewrite.
We scope it during Discovery. If you are building in healthcare, finance, or another regulated space, compliance shapes the architecture from day one. We have built HIPAA-compliant and SOC 2-aligned systems before. The timeline may stretch, but you will know that before we start.
Revisions within the current phase are built into the process. If you want to revisit something from a previous phase, like reworking a design after development has started, we scope the impact and adjust the timeline honestly. It is rare, because each checkpoint is designed to catch misalignment early, but it is not a problem when it happens.
Up to you. Most founders do short check-ins a few times a week and review demos at the end of each phase. You don't need to be technical or manage the build yourself. We send plain-language updates so you always know where things stand.
It happens. Each phase has a checkpoint before the next one starts, so if your thinking changes after a demo or user feedback session, we adjust scope there. You are never locked into a direction that stopped making sense two weeks ago.
You get access to the live staging environment from day one of Design. Features ship to staging as they are completed, so you can see real progress at any point. We also send short async updates between check-ins covering what shipped and what is coming next.
Everywhere, but differently depending on the phase. In Discovery, AI handles market benchmarking and wireframe drafts. During Design, it generates component libraries and runs accessibility checks. In Development, every commit goes through AI code review before a human sees it. Validation is where it probably saves the most time, generating thousands of test scenarios that a manual team would never get through.
Scale is ongoing. We keep shipping features, tuning performance, and joining strategy calls as a virtual CTO. Most of our client relationships run for years. The product does not stop changing just because it launched.
The code that launches is the code you keep building on. No throwaway prototype, no plans to rewrite it later. It is tested, documented, and clean enough for any engineer to pick up. The architecture handles ten times the users without a rewrite.
We scope it during Discovery. If you are building in healthcare, finance, or another regulated space, compliance shapes the architecture from day one. We have built HIPAA-compliant and SOC 2-aligned systems before. The timeline may stretch, but you will know that before we start.
READY TO BUILD?