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Yoram Wijngaarde

Yoram Wijngaarde

LinkedIn Content Strategy & Writing Style

Founder and CEO at Dealroom.co

Netherlands
43 Viral ScoreView on LinkedIn

1 person tracking this creator on ViralBrain

Warm Analysis

Yoram Wijngaarde positions himself as the authoritative architect of the European tech narrative, using his vantage point as CEO of Dealroom.co to provide a data-driven reality check on global venture capital. His content strategy centers on debunking lazy market sentiment by injecting granular proprietary metrics into high-stakes debates, specifically focusing on the rise of "Hard Tech," the resilience of the UK ecosystem, and the nuances of the global startup funnel. He is notable for his ability to translate cold data into strategic geopolitical insights, often challenging prevailing "doom and gloom" headlines with evidence of structural growth in European deep tech and manufacturing. By operating at the intersection of venture intelligence and industrial policy, Yoram provides a sophisticated briefing that bridges the gap between raw investment flows and the long-term competitiveness of global innovation hubs.

Performance Overview

Followers

24.4K

Connections

15.2K

Avg. Engagement

84

Engagement Rate

Posts/Week

8.0

Viral Score

43

Posts Analyzed

1

Top Posts by Engagement

Confirmed: Databricks is raising $4B in Series L funding at a $134B valuation. That's the 21st $100B+ company built out of the Bay Area 🇺🇸 since 1990 (with Swedish 🇸🇪 / Iranian 🇮🇷 founder btw).…

LinkedIn post image: Confirmed: Databricks is raising $4B in Series L funding at a $134B valuation. That's the 21st $100B+ company built out
18721513 viral
Entrepreneurship10 months ago
View on LinkedIn

Fact check: European VC fundraising isn’t “falling off a cliff”. The data story is more nuanced. Some PitchBook figures have been circulating claiming European VC fundraising is down ~60% in 2025 vs…

LinkedIn post image: Fact check: European VC fundraising isn’t “falling off a cliff”. The data story is more nuanced.
13934613 viral
Venture Capital10 months ago
View on LinkedIn

Marietje Schaake’s recent FT piece (“Europe must be ready when the AI bubble bursts”) is getting a lot of pushback in tech circles. I think it’s worth explaining why. First: the piece isn’t entirely…

LinkedIn post image: Marietje Schaake’s recent FT piece (“Europe must be ready when the AI bubble bursts”) is getting a lot of pushback in te
14524512 viral
AI Strategy10 months ago
View on LinkedIn

Nothing creates urgency like an existential threat. When ChatGPT launched in Nov 2022, Google went "Code Red". Sergey Brin later admitted they “messed up” by being too cautious. But he didn't let a g…

LinkedIn post image: Nothing creates urgency like an existential threat.
801806 viral
AI10 months ago
View on LinkedIn

The UK has more Unicorns 🦄 and $100M+ revenue Thoroughbreds 🐎 than France, Germany, Sweden, and the Netherlands combined. Yet, the narrative is often one of economic decline. Saul Klein’s latest p…

LinkedIn post image: The UK has more Unicorns 🦄 and $100M+ revenue Thoroughbreds 🐎 than France, Germany, Sweden, and the Netherlands combin
48513 viral
Startups & Venture Capital10 months ago
View on LinkedIn

𝗧𝗵𝗲 𝗣𝗮𝘁𝗵 𝘁𝗼 $𝟭 𝗧𝗿𝗶𝗹𝗹𝗶𝗼𝗻: 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗙𝘂𝗻𝗻𝗲𝗹 🚀 Only 1.6% of funded startups become unicorn. The steepest dropoff is from Pre-Seed to Seed…

LinkedIn post image: 𝗧𝗵𝗲 𝗣𝗮𝘁𝗵 𝘁𝗼 $𝟭 𝗧𝗿𝗶𝗹𝗹𝗶𝗼𝗻: 𝗠𝗮𝗽𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗚𝗹𝗼𝗯𝗮𝗹 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗙𝘂𝗻𝗻𝗲𝗹 🚀
33723 viral
Startups10 months ago
View on LinkedIn

Posting Patterns & Frequency

8.0 posts/week

Posts / Week

1 days

Days Between Posts

1

Total Posts Analyzed

HIGH

Posting Frequency

Timezone: Europe/Brussels

Best Performing Days

MondayFriday

Best Performing Times To Post

09:00-11:00

Topics & Content Focus

Primary Topics

Hard Tech and Deep Tech as the new venture frontierAI as an enabling layer for scientific discovery and industrial innovationGlobal startup funnel dynamics and power-law venture outcomesEuropean and UK tech ecosystems, competitiveness, and narrative vs. dataUnicorn, decacorn, and revenue milestone analysis as signals of ecosystem maturity

Secondary Themes

Software-plus-hardware business modelsEnergy transition, supply-chain relocalisation, and industrial policyCrisis-driven innovation (existential threats accelerating R&D)VC funding flows and regional benchmarkingRevenue-first growth vs valuation-driven narratives

Industry Focus

Deep Tech and Hard Tech (novel materials, molecules, industrial processes, hardware-plus-software)AI for Hard Science (drug discovery, materials science, fusion, protein design)VC-backed startup and scaleup ecosystems (with emphasis on EMEA and UK)B2B industrial and defense-adjacent technologies (drone defense, aviation, wind energy)

Content Categories

Data-driven ecosystem analysis and benchmarkingStrategic narrative reframing (perception vs evidence)Case-study spotlights of breakout companiesMacro trend commentary on AI and innovationEducational breakdowns of venture funnels and outcomes

Performance Insights

83.5%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

AI-driven hard science and DeepMind-style breakthroughsMacro-ecosystem and funnel analytics with precise numbersContrarian regional narratives where data contradicts pessimism (e.g., UK tech strength)

Virality Signals

High comment activity when posts invite guessing or provoke tension between perception and dataShareability increases when posts include globally relevant benchmarks or stark power-law statisticsPosts that connect AI advances to real-world, physical outcomes (materials, energy, defense) attract outsized attentionRegion-comparison posts (UK vs Europe, EMEA funnels) appear to trigger pride, debate, and discussion

Structure & Quality

130

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

8.5/10

Uniqueness Score

Common Hooks

Bold, thesis-like opening lines that frame a macro shift (e.g., 'The return of Hard Tech...')Existential or high-stakes framing to create urgency ('Nothing creates urgency like an existential threat')Counter-narrative setups contrasting sentiment vs data (e.g., UK 'gloomy sentiment' vs metrics)Number or curiosity-based prompts to provoke guesses and engagement ('Guess how many...')Big headline-style statements with typographic emphasis and emojis to signal importance

Common Endings

Zooming out to ecosystem-level implications (why the data matters for founders, investors, regions)Pointing to concrete tools or resources (dashboards, platforms) without hard sellingPrompting comparison or reflection about regions or sectorsPlacing links or references in comments rather than the post body

Value Delivery Methods

Translating raw datasets into clear, narrative-friendly insights about startup outcomesReframing popular narratives about regions or sectors using hard numbersSurfacing concrete case studies that embody larger structural shifts (e.g., Hard Tech archetypes)Educating the audience on the statistical realities of venture (funnel conversion, power laws, rarity of gigacorns)Connecting frontier AI research directly to investable or industrial opportunities

Formatting Style

Short paragraphs with clear logical progression (context → data → implications → example/CTA)Use of emojis as semantic markers (🦄 for unicorns, 🐎 for revenue thoroughbreds, 🚀 for growth)Bullet lists to highlight drivers, key metrics, and breakdownsOccasional use of bold or stylized headers to frame big ideasMix of narrative prose and stat blocks for scannability

Audience & Tone

YES

Question Usage

0.6%

Response Rate

Detected Tone

Data-driven macro strategistOptimistic realist about technology and innovationClinical yet narrative-savvy analyst of startup ecosystemsEurope-anchored but globally oriented venture observersemi-formalthird-person

Interaction Style

Analytical and data-oriented, appealing to investors, founders, and ecosystem buildersRegionally anchored discussions around EMEA, UK, and European tech competitivenessCuriosity-driven participation via guessing games and benchmark comparisonsThought-leadership amplification by referencing well-known figures and articles (e.g., Saul Klein, David O. Sacks)

Community Building Signals

Highlighting local success stories (e.g., Dutch hard tech companies) to instill regional prideFraming Europe and the UK as critical nodes in global AI and deep tech, fostering a shared identityProviding common reference dashboards and metrics that ecosystems can rally around and benchmark againstEncouraging debate on whether regions adequately value and support their innovation economies

Writing Style Patterns

Content Strategy

Hook: Bold, thesis-like opening lines that frame a macro shift (e.Tone: semi-formalCTA: Soft CTAs inviting exploration of dashboards or pl

Writing style breakdown

Core characteristics

Overall tone: analytical, data-driven, and professional, but with a conversational and accessible edge.

Primary vibe: informed commentator / strategist rather than marketer or evangelist.

The writing is structured and methodical, not free-flowing. Each post feels carefully engineered for clarity, narrative arc, and data delivery.

Strong focus on synthesis: turning numbers, trends, and examples into concise takeaways.

Formality and register

Medium-high formality: correct grammar, precise vocabulary, but not stiff.

Casual elements are sprinkled in: "btw", rhetorical asides, emojis, gently playful phrasing ("Goldilocks", "don’t let a good crisis go to waste").

No slang-heavy or meme-y style; informality is controlled and purposeful.

Emotional tone and energy

Calm, confident, and measured.

Energy is moderate: not hyper, but not slow or sleepy. Pacing is brisk but thoughtful.

Has an optimistic, opportunity-focused undercurrent, even when discussing challenges or correcting narratives.

Often slightly contrarian or corrective: "the data story is more nuanced", "isn’t entirely wrong", "this does shows once again".

- Frequent use of

Rhetorical questions to provoke thought or set up a reveal ("Guess how many…", "Is the UK doing enough…?", "So what should Europe do instead?").

Short, impactful stand-alone sentences for emphasis ("Nothing creates urgency like an existential threat.", "This isn't nostalgia.").

Contrast and corrective framing ("the piece isn’t entirely wrong. But…", "this isn’t… The real win is…").

Conceptual labels in quotes: "Hard Tech", "software plus machines", "root node" problems, "trusted European AI".

Heavy reliance on concrete data, numbers, and percentages as anchors for any claim.

Occasional compressed metaphors or analogies, almost always rooted in tech/innovation (Goldilocks state, "manic oscillation", "root node" problems).

Strong use of examples: specific companies, reports, or products as proof points.

Understated persuasion: nudging, reframing, inviting the reader to see the data differently, rather than overt selling.

- Point of view

Mostly third person: describing markets, companies, and trends.

First person plural appears implicitly via alignment with a data platform ("Dealroom.co has launched…", "Our data…") but without heavy "we" voice.

Second person is used sparingly for engagement or challenge, not as a constant coaching voice.

- Direct engagement patterns

Rhetorical questions to the reader ("Guess how many…", "Is the UK doing enough…").

Imperatives are used but kept light: "Check out the full interactive dashboard…", "Stop theorizing, look at actual demand flows…".

- Commands vs suggestions

Commands appear primarily in the final lines or when giving guidance to policymakers ("Stop theorizing…").

More often, advice is couched as observation and implication rather than explicit "You must…".

2. STRUCTURAL FLOW & LOGICAL PROGRESSION
3. SPACING, LINE BREAKS & VISUAL FLOW
4. SENTENCE CONSTRUCTION & PACING

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