You have an idea. Let’s figure out if it’s the right one to build.

We guide you from problem space to working product validating what’s worth building before a single line of code is written.

FLINK
Akademie für Lernpädagogik
HEM
Circus Group

You have an idea. Let’s figure out if it’s the right one to build.

We guide you from problem space to working product validating what’s worth building before a single line of code is written.

FLINK
Akademie für Lernpädagogik
HEM
Circus Group

You have an idea. Let’s figure out if it’s the right one to build.

We guide you from problem space to working product validating what’s worth building before a single line of code is written.

FLINK
Akademie für Lernpädagogik
HEM
Circus Group



Don’t commit your time, team, and budget to the wrong thing.

Our average discovery sprint takes [X] weeks, then we build fast.

We validate with a modern, AI-enabled toolkit.

We use modern AI frameworks alongside proven research and prototyping tools to get from question to answer quickly, without cutting corners.

defaultshop.ai
claude — fish — 100×30

Our technology stack

hubblrv0.4.2·stack categories

languages

·
name
used in
●TypeScriptfrontend, edge runtimes, agent SDKs
●PythonFastAPI services, data pipelines, agents
●Gohigh-throughput services, infra glue
●SQLPostgres-first · Atlas migrations · dbt
●BashCI, deploys, day-to-day glue

ai

·
name
used in
●Claude CodeAI pair-programmer in the terminal
●MCP serversexpose internal tools to agents
●Gemini SDKlong-context multimodal, planning
●MastraTypeScript agent SDK
●Vercel AI SDKstreaming + tool-use on the edge
●Vercel Chat SDKproduction chat scaffold · resumable streams
●AI Gatewaymodel routing, observability, budgets
●v0AI-built UI scaffolds · ship to Vercel
●Langfuseproduction tracing + evals
●pgvectorRAG straight in Postgres

agentic commerce

·
name
used in
●Agent Commerce Protocolopen spec for agent-to-merchant transactions
●Stripe Agent Toolkitagent-issued payments + checkout APIs
●Browserbaseheadless browser-as-a-service for agents
●StagehandPlaywright + LLM, structured browser control
●Computer UseAnthropic desktop control · agentic shopping flows
●LangGraphagent state machines · tool routing
●MCP serversexpose product catalog + checkout to agents

backend

·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub

frontend

·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android

devops

·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions

quality

·
name
used in
●TypeScriptstrict mode, every file
●Ruff + MypyPython lint + types
●BufProtobuf lint + breaking-change checks
●Pytest · Vitestunit + integration
●Playwrightbrowser e2e + smoke tests

commerce

·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs

product

·
name
used in
●Linearissues, cycles
●Notiondocs + roadmaps
●Figmadesign + prototypes
●Dovetailuser research
← / → switch category·scroll

We validate with a modern, AI-enabled toolkit.

We use modern AI frameworks alongside proven research and prototyping tools to get from question to answer quickly, without cutting corners.

defaultshop.ai
claude — fish — 100×30

Our technology stack

hubblrv0.4.2·stack categories

languages

·
name
used in
●TypeScriptfrontend, edge runtimes, agent SDKs
●PythonFastAPI services, data pipelines, agents
●Gohigh-throughput services, infra glue
●SQLPostgres-first · Atlas migrations · dbt
●BashCI, deploys, day-to-day glue

ai

·
name
used in
●Claude CodeAI pair-programmer in the terminal
●MCP serversexpose internal tools to agents
●Gemini SDKlong-context multimodal, planning
●MastraTypeScript agent SDK
●Vercel AI SDKstreaming + tool-use on the edge
●Vercel Chat SDKproduction chat scaffold · resumable streams
●AI Gatewaymodel routing, observability, budgets
●v0AI-built UI scaffolds · ship to Vercel
●Langfuseproduction tracing + evals
●pgvectorRAG straight in Postgres

agentic commerce

·
name
used in
●Agent Commerce Protocolopen spec for agent-to-merchant transactions
●Stripe Agent Toolkitagent-issued payments + checkout APIs
●Browserbaseheadless browser-as-a-service for agents
●StagehandPlaywright + LLM, structured browser control
●Computer UseAnthropic desktop control · agentic shopping flows
●LangGraphagent state machines · tool routing
●MCP serversexpose product catalog + checkout to agents

backend

·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub

frontend

·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android

devops

·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions

quality

·
name
used in
●TypeScriptstrict mode, every file
●Ruff + MypyPython lint + types
●BufProtobuf lint + breaking-change checks
●Pytest · Vitestunit + integration
●Playwrightbrowser e2e + smoke tests

commerce

·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs

product

·
name
used in
●Linearissues, cycles
●Notiondocs + roadmaps
●Figmadesign + prototypes
●Dovetailuser research
← / → switch category·scroll

We validate with a modern, AI-enabled toolkit.

We use modern AI frameworks alongside proven research and prototyping tools to get from question to answer quickly, without cutting corners.

defaultshop.ai
claude — fish — 100×30

Our technology stack

hubblrv0.4.2·stack categories

languages

·
name
used in
●TypeScriptfrontend, edge runtimes, agent SDKs
●PythonFastAPI services, data pipelines, agents
●Gohigh-throughput services, infra glue
●SQLPostgres-first · Atlas migrations · dbt
●BashCI, deploys, day-to-day glue

ai

·
name
used in
●Claude CodeAI pair-programmer in the terminal
●MCP serversexpose internal tools to agents
●Gemini SDKlong-context multimodal, planning
●MastraTypeScript agent SDK
●Vercel AI SDKstreaming + tool-use on the edge
●Vercel Chat SDKproduction chat scaffold · resumable streams
●AI Gatewaymodel routing, observability, budgets
●v0AI-built UI scaffolds · ship to Vercel
●Langfuseproduction tracing + evals
●pgvectorRAG straight in Postgres

agentic commerce

·
name
used in
●Agent Commerce Protocolopen spec for agent-to-merchant transactions
●Stripe Agent Toolkitagent-issued payments + checkout APIs
●Browserbaseheadless browser-as-a-service for agents
●StagehandPlaywright + LLM, structured browser control
●Computer UseAnthropic desktop control · agentic shopping flows
●LangGraphagent state machines · tool routing
●MCP serversexpose product catalog + checkout to agents

backend

·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub

frontend

·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android

devops

·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions

quality

·
name
used in
●TypeScriptstrict mode, every file
●Ruff + MypyPython lint + types
●BufProtobuf lint + breaking-change checks
●Pytest · Vitestunit + integration
●Playwrightbrowser e2e + smoke tests

commerce

·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs

product

·
name
used in
●Linearissues, cycles
●Notiondocs + roadmaps
●Figmadesign + prototypes
●Dovetailuser research
← / → switch category·scroll

A fast moving team, fully enabled to discover and build.

We stay close to the problem, the users, and the business need before scoping a solution. Discovery only matters if it becomes a better product decision.

Testimonial

Case studies

Invested in Business Goals

To build a successful product organisation, it is essential senior leadership needs to find clarity on the business strategy and tools to communicate that to the teams.

Reduce Complexity to ship faster

The monorepo is back and we're here for it. Shipping fast means cutting technical setup complexity and human complexity, controlling what your team (including your agents) can consume and own.

Rich in experience, agnostic in language.

The best people you can have are those eager to learn, eager to unlearn, and who've seen software products break at scale. With agentic engineering, the right instincts matter more than which language you know.

Case studies

Invested in Business Goals

To build a successful product organisation, it is essential senior leadership needs to find clarity on the business strategy and tools to communicate that to the teams.

Reduce Complexity to ship faster

The monorepo is back and we're here for it. Shipping fast means cutting technical setup complexity and human complexity, controlling what your team (including your agents) can consume and own.

Rich in experience, agnostic in language.

The best people you can have are those eager to learn, eager to unlearn, and who've seen software products break at scale. With agentic engineering, the right instincts matter more than which language you know.

Case studies

Invested in Business Goals

To build a successful product organisation, it is essential senior leadership needs to find clarity on the business strategy and tools to communicate that to the teams.

Reduce Complexity to ship faster

The monorepo is back and we're here for it. Shipping fast means cutting technical setup complexity and human complexity, controlling what your team (including your agents) can consume and own.

Rich in experience, agnostic in language.

The best people you can have are those eager to learn, eager to unlearn, and who've seen software products break at scale. With agentic engineering, the right instincts matter more than which language you know.

Questions you might have

01

What if you tell us not to build anything?

We will if that's the honest answer. A better process or an existing tool might solve your problem faster and cheaper than a custom build, and we'd rather tell you that upfront than waste your budget.

02

Do you stay on for the build phase?

Yes, the same team that runs discovery builds the product. No handover, no knowledge loss, no starting over with a new team.

03

We already have an idea, do we still need discovery?

Maybe not. If you've already validated the problem with real users and just need to build, our engineering team is probably the right next step. But if you're still testing assumptions, skipping discovery is usually how startups end up rebuilding months later.

04

What do we actually get at the end of discovery?

A validated problem definition, a prioritised feature set, and a clear recommendation on whether and what to build, plus a roadmap if we move into development together.

Questions you might have

01

What if you tell us not to build anything?

We will if that's the honest answer. A better process or an existing tool might solve your problem faster and cheaper than a custom build, and we'd rather tell you that upfront than waste your budget.

02

Do you stay on for the build phase?

Yes, the same team that runs discovery builds the product. No handover, no knowledge loss, no starting over with a new team.

03

We already have an idea, do we still need discovery?

Maybe not. If you've already validated the problem with real users and just need to build, our engineering team is probably the right next step. But if you're still testing assumptions, skipping discovery is usually how startups end up rebuilding months later.

04

What do we actually get at the end of discovery?

A validated problem definition, a prioritised feature set, and a clear recommendation on whether and what to build, plus a roadmap if we move into development together.

Questions you might have

What if you tell us not to build anything?

We will if that's the honest answer. A better process or an existing tool might solve your problem faster and cheaper than a custom build, and we'd rather tell you that upfront than waste your budget.

Do you stay on for the build phase?
We already have an idea, do we still need discovery?
What do we actually get at the end of discovery?

Final CTA

Entrepreneurship, innovation and navigating change has always defined HUBBLR and the projects we drove.

Since day one we manifested to “Never accept the status quo”.

Now, that we’re living in times where embracing these values will define economical success for generations, I feel even more empowered and excited than ever to lead our clients, the products we shape and the people we work with into a more successful future driven by technology.

Cedric Bals

,

Managing Director at HUBBLR

Entrepreneurship, innovation and navigating change has always defined HUBBLR and the projects we drove.

Since day one we manifested to “Never accept the status quo”.

Now, that we’re living in times where embracing these values will define economical success for generations, I feel even more empowered and excited than ever to lead our clients, the products we shape and the people we work with into a more successful future driven by technology.

Cedric Bals

,

Managing Director at HUBBLR

Entrepreneurship, innovation and navigating change has always defined HUBBLR and the projects we drove.

Since day one we manifested to “Never accept the status quo”.

Now, that we’re living in times where embracing these values will define economical success for generations, I feel even more empowered and excited than ever to lead our clients, the products we shape and the people we work with into a more successful future driven by technology.

Cedric Bals

,

Managing Director at HUBBLR