Ship your roadmap without overstretching your team
Founders need a first version in front of users quickly, and growing SaaS teams often have more planned work than people. Blocvibe can build a focused MVP or add engineering capacity to an existing team.
- Next.js
- TypeScript
- Relational databases
- MySQL
- LLM APIs
- Document search
Industry overview
Engineering for technology and SaaS companies
Technology companies rarely lack ideas. What they lack is engineering time. Founders need a first version in front of real users before the budget runs out, and growing product teams carry roadmaps that are bigger than the people available to build them.
Blocvibe works in two ways. For founders, we scope an idea down to the one workflow that proves its value and build a focused MVP. For existing teams, dedicated developers join your process, tools and codebase to deliver roadmap items alongside your engineers. We also build white-label editions and AI features where they serve a clear product goal.
Either way, the code lives in your repository and is yours, and progress is reviewed together at every milestone.
Where software helps
- Launching a first version around one core workflow
- Delivering backlog features without pausing maintenance
- Offering the product under partners’ brands
- Adding AI features that customers actually use
What it needs
- A product owner who can make scope decisions
- Access to the codebase, tools and environments
- Timely feedback at each milestone
- Clear success criteria for the first release
Challenges and business problems
Common challenges
The roadmap is bigger than the engineering team. Not every business faces all of these, but most will recognise at least one.
Roadmap backlog
Planned features wait months because the team is busy maintaining what exists.
Slow first launch
The first version keeps growing in scope and never ships.
Hiring delays
Recruiting experienced developers takes time the roadmap does not have.
AI expectations
Customers ask for AI features, but the team lacks time to explore them properly.
Our solutions and capabilities
Where software, AI and IoT can help
Build a focused MVP, or add developers who work within your process.
Software and integration
- MVP scoping and development
- Dedicated developers in your team
- Web and mobile product development
AI applications
- AI features inside your product
- Document and knowledge search
- Usage and cost monitoring for AI features
IoT capabilities
- Device data platforms for hardware-enabled products
- Monitoring dashboards for connected products
- APIs for device data
How it fits together
How a product moves from idea to release
The same cycle works for a new MVP and for roadmap items in an existing product.
Stage 1 of 4
Scope
We agree the outcome the release must deliver and rank features against it. Anything that does not support that outcome waits for a later release.
- One core workflow
- A success measure agreed
- Features ranked
Real-world use cases
How it can work in practice
Each example shows the problem, the solution, how it works, the technologies involved and the value it brings.
- Illustration
A focused MVP for a new product
- The problem
- A founder’s first version keeps growing in scope, and the launch keeps moving further away.
- The solution
- An MVP built around the single workflow that proves the product’s value, with everything else deferred.
- How it works
- We agree the outcome the first release must deliver and rank features against it. The MVP is built in short cycles, with a working version to review every few weeks, and launched to early users with usage tracking in place.
- Technologies
- Next.js
- TypeScript
- Relational databases
- The value
- The product reaches real users sooner, and the next decisions are based on how they use it.
- Illustration
A white-label edition for partners
- The problem
- Partners want to offer the product to their own customers under their brand, but the code assumes one brand and one kind of customer.
- The solution
- A multi-tenant, white-label edition where each partner has its own branding, domain and plan, all from one codebase.
- How it works
- Branding, domains and enabled modules move into settings for each tenant. Partners manage their own customers from an admin area, and every improvement ships to all tenants in the same release.
- Technologies
- Next.js
- TypeScript
- MySQL
- The value
- Partners can sell the product under their own brand, without a separate copy of the code to maintain for each one.
- Illustration
AI search inside a product
- The problem
- Customers ask for AI features, but the team has no time to explore them properly or control their cost.
- The solution
- An AI feature built into the product, such as search across a customer’s own documents, with usage and cost monitoring.
- How it works
- Each customer’s content is indexed so it can be searched by meaning. A language model drafts answers from the most relevant passages and shows its sources, and usage and cost are tracked for each account.
- Technologies
- LLM APIs
- Document search
- TypeScript
- The value
- Customers get a useful AI feature, and the team keeps control of its behaviour and running cost.
Technologies and integrations
Technologies for SaaS products
A modern, typed web stack that new developers can pick up quickly, with automated checks on every change.
Product
- Next.jsWeb apps with fast pages and server logic in one framework.
- ReactInteractive product screens and shared components.
- TypeScriptTyped code that keeps a growing codebase safe to change.
Backend and data
- Node.jsAPIs, background jobs and integrations.
- MySQLAccounts, plans and product records.
- LLM APIsAI features with usage and cost monitoring.
Delivery
- GitHubYour repository, pull requests and code review.
- GitHub ActionsAutomated tests and checks on every change.
Systems it can connect to
- Payment and subscription providers
- Sign-in and single sign-on
- Product analytics
- Email and notification services
Logos are trademarks of their owners and show tools we work with, not partnerships. Connections depend on each system offering data access or an API.
Our development approach
A practical way to start
Start small, prove the value with one team or area, then extend what works.
Step 1: Discover
Share your product goals, roadmap and current team setup.
Step 2: Plan
Agree on a first scope: an MVP or a set of roadmap items.
Step 3: Build a first version
Start with a short, clearly defined first milestone.
Step 4: Review and extend
Review progress together and adjust the engagement as needed.
What the solution depends on
Benefits and business value
What it changes for your team
An earlier launch
A smaller first scope reaches users sooner and starts the feedback loop.
More of the roadmap delivered
Extra developers move backlog items forward while your team keeps the product running.
Code you own
Work lives in your repository, reviewed and documented, so you are never tied to us.
AI with guardrails
AI features come with source references, review steps and cost monitoring.
Related services
The services behind these solutions
- SaaS and MVP DevelopmentA focused first version of your product, built to learn from real users.
- Web Application DevelopmentFast, accessible web apps and portals that work in any modern browser.
- White-Label Software DevelopmentRebrandable software your business can offer to its customers under its own name.
- AI IntegrationAI features added to the software your team already uses.
Other industries
Questions
Frequently asked questions
Straight answers to the questions teams in this industry ask before starting.
Who owns the code we pay for?
You do. Code is written in your repository, or moved into it, and ownership terms are set out in the agreement before work starts.
Can your developers work inside our existing team?
Yes. Developers join your tools, sprints and code review, follow your conventions and work with your product owner, as an in-house engineer would.
How do you stop an MVP from growing too large?
We agree the one outcome the first release must deliver and rank every feature against it. Anything that does not support that outcome goes on a list for later releases.
Can you take over a product someone else built?
Yes, including code produced with AI tools. We start by reading and running the code, mapping how it works and listing the risks, then agree with you what to fix first.
How are the running costs of AI features kept in check?
Usage is measured for each feature and account, limits can be set, and the choice of model is weighed against cost and quality. Costs are estimated with you before a feature is released.
Have a product to launch or a roadmap to deliver?
Tell us about your product, your team and what you need next. We’ll reply by email and suggest a first milestone.