Opportunities › European tech intelligence and research platform › Proposed app
Growthmap Europe
Track fast-growing European tech companies and spot deals, partners and targets
- Score
- 35
- confidence 46
- Evidence
- 1
- items on the page
- Rivals
- 0
- named in sources
- First version
- 35 d
- estimate
- Type
- Desktop app
- PWA: runs in the browser, installs on Mac and Windows
- Market since
- 2007
- Mature market · AI estimate
ScreensConcept
Desktop app: Investors and operators filter deal pipelines, review sourced facts, and maintain watchlists in a structured database—research and portfolio work done at a desk. Sample screens on a computer, in the proposed brand. Their numbers are sample data.
Discover
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About this appAI proposal
Growthmap Europe keeps a structured, regularly refreshed list of fast-growing European tech companies. Each profile pulls together public facts, growth signals and a short written note, so you stop piecing it together from newsletters and scattered sources.
It is built for founders looking for partners, operators scouting vendors or acquisitions, and investors building a pipeline. Save companies to watchlists, get alerts when something changes, and export a shortlist in minutes.
Every data point shows its source and the date it was last checked, so you can judge how far to trust it. Automated research does the collecting; a human editor reviews the notes before they are published.
- Tagline
- Europe's fastest-growing tech companies, tracked in one place.
- Voice
- PreciseCalmDirect
- Why this name
- Growth plus map: it says where the growing companies are across Europe. Two plain words, easy to say.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Company profiles with sources
Funding, headcount, hiring, product and leadership facts, each with a source link and a last-checked date.
No member yet
Growth signal feed
A daily feed of notable changes: new rounds, hiring spikes, launches, new markets and leadership moves.
No member yet
Watchlists and alerts
Save companies into lists and get a digest by email or push when something on a list changes.
No member yet
Filters built for deal-finding
Filter by country, sector, stage, size and growth signals to build a target list quickly.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#14352EDeep Pine · primary#F6F3ECPaper · surface#1B1F1DInk · text#E0A02BAmber · accent#2F8F83Sea Teal · data
Typography
Aa
Growthmap Europe
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Europe's fastest-growing tech companies, tracked in one place.
PricingAI proposal
The material gives no competitor prices. These tiers are a starting point to test; the evidence only shows annual subscriptions are the main revenue idea.
Free
Free
- Browse 20 company profiles
- One watchlist
- Weekly email digest
Pro
$390 a year
- Full database and filters
- Unlimited watchlists and alerts
- CSV export
- Editor notes
Team
$1490 a year
- Up to 10 seats
- Shared workspaces and tags
- Shareable read-only lists
- Priority support
Would you pay Pro · $390 a year?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
What products in this market make
- $11.7K Per Month Subscription Site in the Business NicheVerified$11,725 a month, worth about $228,000 at that multiple · Empire Flippers
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Shared outputs. Users share read-only watchlists and company pages with co-investors, partners and colleagues, who see the product name and source-dated data.
- Do they become customers?
- Recipients are often the same kind of buyer, so some could subscribe. Test how many shared-list viewers sign up and how many convert to paid.
- First customers
- Solo and small-fund angel investors and venture scouts in Europe who source early-stage deals, then startup business development leads.
- Where to reach them
- Founder and investor newsletters: Sponsor or guest-write a sample list of fast-growing companies with a link to a free tier.
- LinkedIn: Post a weekly signal roundup from the data and invite readers to the free watchlist.
- Angel and scout communities: Offer a free trial list tailored to one sector and ask for feedback.
- First milestone
- Ten paying annual subscribers among European angels and scouts, from one sector's list, within 90 days.
Why people already pay for this
- VerifiedA business in this market sold on Empire Flippers averages $11,725 a month in revenue ($7,413 net profit), figures vetted by the broker
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · Data collectionScheduled crawler and public data feedsGathers and refreshes company facts and signals from public sources on a schedule.
- This app · AI extractionLLM extraction with human review queueTurns raw pages into structured fields and draft notes that an editor approves.
RisksAI inference
- DataKeeping data accurate and fresh for many companies is costly; stale or wrong facts would destroy trust quickly.
- CommercialInvestors may already pay for large data providers; a niche list must prove it is more useful or cheaper.
- RegulatoryCollecting data on companies and named executives must respect site terms and GDPR rules on personal data.
- AIAutomated extraction can produce wrong facts or invented details, so editor review is needed and limits speed.
- CommercialSponsorships can bias the content if not clearly separated from editorial picks.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.