You have an idea. Let’s find out fast if it’s worth building.

We de-risk the step from zero to one. An experienced product team validates your idea before it reaches the market and builds it, separate from your day-to-day business.

Book a discovery call

You have an idea. Let’s find out fast if it’s worth building.

We de-risk the step from zero to one. An experienced product team validates your idea before it reaches the market and builds it, separate from your day-to-day business.

Book a discovery call

You have an idea. Let’s find out fast if it’s worth building.

We de-risk the step from zero to one. An experienced product team validates your idea before it reaches the market and builds it, separate from your day-to-day business.

Book a discovery call

De-risk the step from zero to one.

We have built products from the first prototype to scale often enough to bring a team that has done it before. You skip the hiring, validate the idea before launch and keep the new product or company apart from your day-to-day business.

De-risk the step from zero to one.

How we take an idea to market

Find the real problem

Scope it together

Build it fast

Launch early

How we take an idea to market

Find the real problem

We separate the problem from the solution you have in mind and test the hypotheses behind it with real customers. Now that anyone can build anything with AI, solving a real user problem is what counts.

Scope it together

We work through the findings with you, decide what to build first and agree on the fastest way to get there.

Build it fast

An AI-enabled team builds the first version with short feedback loops between you, your users and the code.

Launch early

We get the product into the market as early as possible and refine it with real usage instead of more assumptions.

How we take an idea to market

Find the real problem

Scope it together

We work through the findings with you, decide what to build first and agree on the fastest way to get there.

Build it fast

An AI-enabled team builds the first version with short feedback loops between you, your users and the code.

Launch early

We get the product into the market as early as possible and refine it with real usage instead of more assumptions.

We have been where you are

Not sure where to start?

An honest conversation

Founder to founder

Partners in crime

A team ready on day one

We have been where you are

Not sure where to start?

An honest conversation

We start by talking openly about your idea, your users and your budget. If building is not the right move, we tell you.

Founder to founder

We have co-founded and built companies ourselves. We know the pressure of the early phase because we have worked in it.

Partners in crime

We were inside fast-moving startups from their first version through hyper-growth. You get that experience without repeating the mistakes.

A team ready on day one

No hiring before you know the idea works. The people who validate the problem also build and launch the product, with no handover in between.

We have been where you are

Not sure where to start?

An honest conversation

We start by talking openly about your idea, your users and your budget. If building is not the right move, we tell you.

Founder to founder

We have co-founded and built companies ourselves. We know the pressure of the early phase because we have worked in it.

Partners in crime

We were inside fast-moving startups from their first version through hyper-growth. You get that experience without repeating the mistakes.

A team ready on day one

No hiring before you know the idea works. The people who validate the problem also build and launch the product, with no handover in between.

What we value in working together

Working at eye level

We don't arrive with ready-made answers. You know your domain, we bring product, engineering and AI experience, and we build the solution together, in your language.

Where business, product and tech meet

We work at the intersection of business, product and technology. One interdisciplinary team brings strategy, product, engineering and AI together and translates between them, so nothing gets lost in handovers.

The courage to change

Markets move and change is the new normal. Call it agile, new work or OKRs, ideas alone are not enough. We make the change happen and stay until it works.

What we value in working together

Working at eye level

We don't arrive with ready-made answers. You know your domain, we bring product, engineering and AI experience, and we build the solution together, in your language.

Where business, product and tech meet

The courage to change

Markets move and change is the new normal. Call it agile, new work or OKRs, ideas alone are not enough. We make the change happen and stay until it works.

What we value in working together

Working at eye level

We don't arrive with ready-made answers. You know your domain, we bring product, engineering and AI experience, and we build the solution together, in your language.

Where business, product and tech meet

The courage to change

Markets move and change is the new normal. Call it agile, new work or OKRs, ideas alone are not enough. We make the change happen and stay until it works.

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

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

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

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

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

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

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.

Entrepreneurial mindset

Discover, build, iterate

Apart from your core business

Shorter roadmaps

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.

Entrepreneurial mindset

We treat product discovery like a business decision, not a research exercise. The goal is to understand what can actually move the company forward before anyone starts building.

Discover, build, iterate

We’re huge believers that the best product teams understand a problem end to end. We keep discovery, scoping, and delivery in one loop so learning doesn’t disappear at handover.

Apart from your core business

We run the new product or company as its own track. Your core team keeps its focus, and the new idea gets a team that moves at startup speed.

Shorter roadmaps

You’ll find us arguing for shorter scoped initiatives and tighter budgets. Discovery is there to remove waste, not add a long strategy phase before the real work starts.

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.

Entrepreneurial mindset

We treat product discovery like a business decision, not a research exercise. The goal is to understand what can actually move the company forward before anyone starts building.

Discover, build, iterate

We’re huge believers that the best product teams understand a problem end to end. We keep discovery, scoping, and delivery in one loop so learning doesn’t disappear at handover.

Apart from your core business

We run the new product or company as its own track. Your core team keeps its focus, and the new idea gets a team that moves at startup speed.

Shorter roadmaps

You’ll find us arguing for shorter scoped initiatives and tighter budgets. Discovery is there to remove waste, not add a long strategy phase before the real work starts.

“

HUBBLR supported us in our earliest stage to bring Flink alive. They consulted & actively participated in technical decision making, software development & helped us scale our globally growing team and product.

Masato Higgs

Director Product

Flink SE

“

Masato Higgs

Director Product

Flink SE

“

Masato Higgs

Director Product

Flink SE

Case study

A grocery delivery rider at a crossing in Hamburg, traffic passing behind

CASE STUDY

Scaling a European quick-commerce platform from the inside

We embedded in a fast-scaling quick-commerce startup and rebuilt its core systems while the product was live.

Read the case study

Case study

CASE STUDY

Scaling a European quick-commerce platform from the inside

We embedded in a fast-scaling quick-commerce startup and rebuilt its core systems while the product was live.

Read the case study

Case study

CASE STUDY

Scaling a European quick-commerce platform from the inside

We embedded in a fast-scaling quick-commerce startup and rebuilt its core systems while the product was live.

Read the case study

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?

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

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.

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?

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.

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

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?

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?

Next step

Find out what is worth building.

Tell us about your idea. We reply within one business day with a proposal for a discovery sprint.

Book a Discovery Call

Next step

Find out what is worth building.

Tell us about your idea. We reply within one business day with a proposal for a discovery sprint.

Book a Discovery Call

Next step

Find out what is worth building.

Tell us about your idea. We reply within one business day with a proposal for a discovery sprint.

Book a Discovery Call

Related services

Engineers on demand

Senior engineers who join your tech team and work to your priorities.

Learn more

Engineers on demand

Senior engineers who join your tech team and work to your priorities.

Learn more

AI adoption

Integrate AI into how your product and tech teams work, with a team that builds.

Learn more

AI adoption

Integrate AI into how your product and tech teams work, with a team that builds.

Learn more

Hand over a slow project

Hand over a project that moves too slowly and get it shipping again.

Learn more

Hand over a slow project

Hand over a project that moves too slowly and get it shipping again.

Learn more

Managed hosting

Keep the product reliable once it is live, without hiring for infrastructure.

Learn more

Managed hosting

Keep the product reliable once it is live, without hiring for infrastructure.

Learn more

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.