Products
Discover HeroesFind top LinkedIn creators in your niche.Post CreatorAI-powered composer with your tone and style.Trending PostsSee what's going viral on LinkedIn right now.
Use Cases
Repurpose ContentTurn YouTube, blogs, and articles into LinkedIn posts.Carousel GeneratorCreate swipeable LinkedIn carousels with AI.30-Day Auto CalendarPlan and auto-publish a month of posts.LinkedIn MCP ServerPost to LinkedIn from Claude, Codex and OpenClaw.For AgenciesRun your clients' LinkedIn content in one place.
Tools
Text FormatterBold, italic, and Unicode styles for posts.Hashtag GeneratorFind the best hashtags for your content.Engagement CalculatorMeasure your post performance instantly.Hook GeneratorAI hooks that stop the scroll.Post PreviewSee exactly how your post will look.Content CalendarPlan and schedule your LinkedIn content.Browse all 90+ free tools
Resources
Free Tools90+ LinkedIn tools, no signup required.Templates100 ready-to-use LinkedIn post templates.GuidesStep-by-step LinkedIn growth playbooks.CollectionsCurated tool sets by role and goal.CompareViralBrain vs. other LinkedIn tools.BlogLinkedIn growth tips and strategies.
Pricing
LoginStart 7 Days Trial
Back to Discover Heroes
Steve Bartel

Steve Bartel

LinkedIn Content Strategy & Writing Style

Founder & CEO of Gem ($150M Accel, Greylock, ICONIQ, Sapphire, Meritech, YC) | Author of startuphiring101.com

United States
46 Viral ScoreView on LinkedIn

0 people tracking this creator on ViralBrain

Warm Analysis

Steve Bartel positions himself as a systems-thinking architect of talent, moving beyond generic leadership advice to treat hiring as a rigorous engineering and data problem. His content strategy centers on deconstructing the mechanics of elite scale—referencing the "Bar Raiser" frameworks of Amazon or the laptop-based testing at Stripe—to provide a blueprint for high-signal recruitment in an era of AI-generated noise. He is notable for his "founder-operator" transparency, often bridging the gap between high-level venture-backed growth and the granular, unglamorous reality of fraud detection and interview calibration. By intersecting recruiting technology with organizational psychology, Bartel transforms hiring from a subjective "culture fit" exercise into a measurable, scalable competitive advantage.

Performance Overview

Followers

32.0K

Connections

18.2K

Avg. Engagement

118

Engagement Rate

Posts/Week

3.2

Viral Score

46

Posts Analyzed

1

Top Posts by Engagement

A hiring manager posted that she's 200 resumes into an open role and it's "nothing but AI slop." Same openers, fabricated tech stacks, claims that collapse with a ten second LinkedIn check. She got a…

LinkedIn post image: A hiring manager posted that she's 200 resumes into an open role and it's "nothing but AI slop." Same openers, fabricate
17245612 viral
Hiring & Recruiting10 months ago
View on LinkedIn

With applicant fraud, spam, and scammers on the rise, I had this wacky idea. I don’t know if it would work, but I’m curious if anyone’s tried this… Most of the fraud / spam / cheating is a lot easier…

854709 viral
Recruiting & Hiring9 months ago
View on LinkedIn

Got to co-host a fun dinner at the Prospect in SF with CodeSignal last week A wonderful blend of familiar faces and new folks. It was refreshing to have real, in-the-room conversations about what’s t…

LinkedIn post image: Got to co-host a fun dinner at the Prospect in SF with CodeSignal last week
1261917 viral
Talent Acquisition10 months ago
View on LinkedIn

Recruiters are now expected to be fraud detectors. But most haven't been given the tools to do it. Prime example: Fortune reported on a startup founder who caught a deepfake candidate mid-interview.…

LinkedIn post image: Recruiters are now expected to be fraud detectors. But most haven't been given the tools to do it.
1032327 viral
Recruiting & Hiring9 months ago
View on LinkedIn

Stripe co-founder John Collison said "No batch of 10 people will ever have as much influence on the company as those first 10." Most founders think he's talking about culture. He is. But there's a se…

LinkedIn post image: Stripe co-founder John Collison said "No batch of 10 people will ever have as much influence on the company as those fir
1071225 viral
Hiring10 months ago
View on LinkedIn

You're about to hire someone brilliant who can't take feedback. You just don't know it yet. Dylan Field was 23. Two years into building Figma. No product launched yet. Product genius. Management disa…

LinkedIn post image: You're about to hire someone brilliant who can't take feedback. You just don't know it yet.
82614 viral
Hiring10 months ago
View on LinkedIn

Posting Patterns & Frequency

3.2 posts/week

Posts / Week

2.4 days

Days Between Posts

1

Total Posts Analyzed

MEDIUM

Posting Frequency

Timezone: UTC

Best Performing Days

MondayTuesday

Best Performing Times To Post

Late afternoon (around 17:30 UTC)

Topics & Content Focus

Primary Topics

Systemic hiring quality design (bar-raising mechanisms, separating authority from accountability)Recruiting operations and interview architecture for high-growth tech teamsApplicant fraud, deepfakes, and risk management in modern talent pipelinesEvaluating slope and leadership potential (coachability, capacity to grow) rather than just day-one skillsInstrumenting hiring with feedback loops and data to improve signal per hour

Secondary Themes

Remote vs. in‑person hiring tradeoffs as a security and quality leverRecruiter enablement under resource constraints (tools, training, time)Interviewer calibration and rubric effectiveness across loopsCultural mechanisms like Amazon’s Bar Raisers as scalable quality controlDesigning interview questions and prompts that surface coachability and feedback mindset

Industry Focus

B2B SaaS talent acquisition and recruiting operationsHigh-growth tech startups and scale-ups (engineering, product, sales hiring)Technical recruiting and interview design for software and product teamsPeople Ops / Talent leadership (Heads of TA, Recruiting, HR in tech-driven companies)

Content Categories

Operational playbooks and hiring system design frameworksCase-study breakdowns of iconic tech companies’ hiring practices (Amazon, Stripe, Figma)Trend and risk analysis around applicant fraud and deepfakesInterview question scripts and evaluation techniques for hiring managersThought experiments and unconventional process ideas to deter fraud or raise the barData-informed critiques of common hiring rituals and “theater” processes

Performance Insights

3%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Applicant fraud and deepfakes as a structural threat to hiring signalSystemic constraints on recruiters (expanded mandate without support or tooling)Provocative, low-cost process hacks to deter scammers or improve pipeline quality

Virality Signals

High comment volumes when posts end with explicit multi-part questions or ask for direct experience (“Anyone try this?”)Anchoring hot-button fears (fraud, deepfakes, fake identities) in concrete statistics and media citationsPositioning the audience (recruiters, TA leaders) as victims of systemic under-support, which drives resonance and sharingUsing recognizable company stories (Amazon bar raisers, Stripe’s interview loop, Figma’s founding journey) to legitimize non-obvious claimsProviding one crisp, portable diagnostic question or mechanism that readers can immediately test in their own process

Structure & Quality

300

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.8/10

Uniqueness Score

Common Hooks

Dialogue cold-open that drops you into a live conversation with a Head of TA or founderContrarian claim that a familiar hiring practice is the real problem, not the peopleSpecific big-name company example (Amazon, Stripe, Figma) used to challenge current normsRisk-forward hook that surfaces an unseen threat (deepfakes, fraud, hidden ceilings on talent)Second-person framing that personalizes the risk or opportunity (“You’re about to hire someone brilliant who can’t take feedback…”)

Common Endings

Single-sentence distilled lesson that reframes the whole postA sharp diagnostic question readers can directly use in their next interviewBinary or open question inviting judgment on an unconventional idea (“Interesting idea? Horrible idea?”)Explicit ‘LESSON:’ style summary followed by a generalizable principle

Value Delivery Methods

Translating well-known company practices into concrete, implementable mechanisms for smaller teamsReframing familiar pain points (bad hires, interview variance, fraud) as system design and measurement problemsSupplying specific structural components (independent veto power, written rationale, calibration loops) rather than vague adviceEquipping hiring managers with simple but powerful interview questions to expose hidden traits like coachabilityHighlighting second-order effects and tradeoffs (e.g., remote convenience vs. fraud exposure, more interviews vs. signal per hour)

Formatting Style

Short paragraphs with intentional white space for readabilityScript-style dialogue with speaker tags (e.g., “Head of TA:”, “Me:”) to create narrative flowNumbered lists to codify mechanisms, prerequisites, or components of a systemInline quotes and paraphrased speech from leaders (e.g., Andy Jassy, Dylan Field) to anchor authoritySection shifts introduced with phrases like “But here’s the part…” or “Why this matters now:”

Audience & Tone

YES

Question Usage

0.5%

Response Rate

Detected Tone

Systems-minded operatorAnalytical storytellerData-informed pragmatistSmart-casual domain expertsemi-formalfirst-person

Interaction Style

Practitioner-to-practitioner, speaking as an operator who has run these systems beforeCollaborative hypothesis testing, treating posts as prompts for the community to validate or invalidate in the fieldEmpathetic acknowledgment of recruiter and TA constraints before proposing systemic fixes

Community Building Signals

Creating shared terminology and mental models for complex hiring problems (e.g., bar raisers, interview ‘theater’)Inviting war stories and experiments from TA leaders and recruiters to co-create best practicesPositioning the audience as co-owners of the solution, not just consumers of advice

Writing Style Patterns

Content Strategy

Hook: Dialogue cold-open that drops you into a live conversation wTone: semi-formalCTA: Open-ended questions soliciting practitioner exper

Writing style breakdown

Core characteristics

Tone is professional but highly conversational, with a strong teaching / explanatory bent.

It is direct, analytical, and grounded in operators’ reality (founders, hiring managers, recruiters).

- Feels like a hybrid of

Thoughtful LinkedIn thought-leadership

Crisp product / ops memo

Short-form narrative business writing

Not poetic; instead: precise, concrete, and example-heavy.

Very low fluff; each sentence typically carries a discrete idea.

Formality

Mid-formal: uses standard grammar and syntax with frequent contractions (“we're”, “can't”, “doesn't”).

Comfortable with colloquial phrases (“wacky idea”, “kind of ok”, “two weird people working on an idea”) but always in a professional context.

Occasionally uses slang shorthand like “bc” for “because” and emojis in lighter posts, but sparingly.

Energy and pacing

Moderately high energy without hype.

Posts move quickly, with ideas delivered in short, intentional bursts.

Built around tension and release: set up a problem or misconception, then flip it with a crisp reframing or lesson.

- Frequent use of

Contrast and reversal: “Not because X. Because Y.” / “Most founders think… He is. But…”

Short, aphoristic sentences: “Brilliance without coachability is a ceiling.”

Parallelism and rhythm in lists: “More interviews, more process, more alignment meetings. More motion. Less clarity.”

Data/stats to anchor arguments (percentages, counts, time costs).

Concrete company examples (Amazon, Stripe, Figma, Spanx) and named individuals.

- Rhetorical questions are common, often

To set up a problem or hypothetical (“What would you do?”)

As a soft CTA at the end (“Interesting idea? Horrible idea? Anyone try this?”)

Storytelling is used as a vehicle for a concept, not for its own sake.

Lesson-oriented: many posts are structured to arrive at a single clear insight or “lesson” line.

- Mix of

First-person singular (“I run a recruiting technology company…”, “I had this wacky idea.”)

First-person plural (“At Gem, we're trying…”, “we implemented this at Dropbox…”)

Second-person direct (“Next time you're hiring anyone, ask one question:” / “If you haven't done the job, you can't spec the job.”)

Reader is treated as a peer operator (founder, hiring leader, recruiter) capable of nuance.

- Uses direct commands without being aggressive

Do the job until you can describe it.
Then hire someone who's better than you at it.

- When addressing multiple audiences, uses explicit labels

Candidates: …
Employers: …

Voice summary you should replicate

Smart, calm operator who has “seen the movie” and is explaining what actually works, through crisp stories, data, and simple mental models.

Confident but not loud; authoritative without being preachy.

Always trying to reduce complexity into 1–3 memorable, practical takeaways.

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

Sign in to unlock the full writing analysis

Apply Steve Bartel's patterns to your posts

Free tools to help you write, score, and benchmark in the same style.

LinkedIn Hook Generator

Generate scroll-stopping hooks in the same style top creators use.

Open tool

LinkedIn Post Scorer

Score your draft against viral post patterns before you publish.

Open tool

LinkedIn Engagement Calculator

Benchmark your engagement rate against creators in your niche.

Open tool

More LinkedIn creators to learn from

Discover all

Other creators worth studying alongside Steve Bartel.

Adriano Herdman

Adriano Herdman

Talent Solutions for Technology businesses

66 Viral Score

Hung Lee

Hung Lee

More signal, less noise, with Recruiting Brainfood

4 Viral Score

Cindi Howson

Cindi Howson

Chief Data & AI Strategy Officer at ThoughtSpot, Host of award winning The Data Chief podcast, Corinium Global 100 CDAO, Software Report Top 25 Data & AI Exec

17 Viral Score

Bill McDermott

Bill McDermott

Chairman and CEO at ServiceNow

42 Viral Score

Wade Foster

Wade Foster

Co-founder & CEO at Zapier, YC & Mizzou Alum

32 Viral Score

Scott Brinker

Scott Brinker

Martech Analyst & Advisor | Ex-HubSpot VP Platform Ecosystem | “Godfather of Martech” – AdAge

29 Viral Score

€1 trial · 7 days

Automate your LinkedIn for 30 days

ViralBrain plans, writes, and schedules your LinkedIn content, using official LinkedIn APIs so your account stays safe.

  • Official LinkedIn APIs, no risk of ban
  • You approve every post before it goes live
  • Cancel anytime
Start €1 trial€39 Pro or €69 Premium · cancel anytime

30-day plan

On track
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
13 posts queued · auto-publishing
€1 · 7-day trial

Write like Steve Bartel and auto-post for 30 days.

ViralBrain learns their voice and publishes for you.

Try it free

Write like Steve Bartel.

Try it free

Discover more LinkedIn creators · ViralBrain

Other LinkedIn creators

  • Tony Byrne
  • Karla Wentworth
  • Ferdinand Terme
  • Jordan Chenevier-Truchet
  • Jonathan Gilbert
  • Tom Pestridge
  • MJ Smith
  • Joonhyeok Ahn
  • Alex M H Smith
  • Dan Koe
  • Simón Villegas Restrepo
  • Lucas Lopatin
  • Melissa Milloway
  • Vinh Giang