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
Michael T.

Michael T.

LinkedIn Content Strategy & Writing Style

Building Cursor

United States
498 Viral ScoreView on LinkedIn

0 people tracking this creator on ViralBrain

Warm Analysis

Michael positions himself as a high-conviction builder at the frontier of AI-native engineering, moving beyond mere speculation to demonstrate the practical limits of autonomous coding. His content strategy centers on high-signal proof of work, such as building complex browsers from scratch, while facilitating deep-dive dialogues with industry titans like Patrick Collison and John Schulman. He is notable for his ability to bridge the gap between raw technical experimentation and institutional utility, often highlighting how Cursor scales within elite organizations like Stripe. This creates a compelling intersection of hardcore systems engineering and strategic industry foresight, establishing him as a credible voice on how AI will fundamentally restructure the labor and reliability of software development.

Performance Overview

Followers

16.1K

Connections

2.0K

Avg. Engagement

754

Engagement Rate

Posts/Week

0.2

Viral Score

498

Posts Analyzed

1

Top Posts by Engagement

Watch Cursor build a 3M+ line browser in a week

1.4K6867100 viral
AI9 months ago
View on LinkedIn

We built a browser with GPT-5.2 in Cursor. It ran uninterrupted for one week. It's 3M+ lines of code across thousands of files. The rendering engine is from-scratch in Rust with HTML parsing, CSS cas…

1.4K7551100 viral
AI9 months ago
View on LinkedIn

A conversation with Patrick Collison, Stripe's CEO, on programming: its history and future, relevance to other areas, and interaction with AI. Link to full video in thread.

1.2K3435100 viral
Programmingabout 1 year ago
View on LinkedIn

A conversation with John Schulman on research cultures, his personal use of AI, and where reinforcement learning goes from here. Watch the full interview here: https://lnkd.in/gkW6RTuY

438112241 viral
AI10 months ago
View on LinkedIn

When will we be able to add AI coworkers to Slack to help take on misc operational work? Updating spreadsheets, creating channels, running "cron job" business workflows, conducting Deep Research/Ope…

35755940 viral
AIabout 1 year ago
View on LinkedIn

Who will be the Gartner / Forrester of AI? An evals-first research firm that is adept at distinguishing "the demo" from the reliability, speed, and intelligence that characterizes useful AI applicati…

26939328 viral
AIover 1 year ago
View on LinkedIn

Posting Patterns & Frequency

0.2 posts/week

Posts / Week

35 days

Days Between Posts

1

Total Posts Analyzed

LOW

Posting Frequency

Timezone: UTC

Best Performing Days

WednesdaySundayTuesday

Best Performing Times To Post

20:00-23:0017:00-18:0000:00-02:00 (for discussion-driving questions)

Topics & Content Focus

Primary Topics

AI-augmented software engineering at frontier scale (LLM-assisted code generation, dev environments, rapid prototyping)Building-from-scratch systems engineering showcased as a product proof (browsers, rendering pipelines, Rust infrastructure)Frontier AI research culture and leadership (interviews with prominent builders, how labs work, where RL goes)

Secondary Themes

AI agents as operational coworkers inside enterprise workflows (Slack-native, tool access, persistent memory)Programming as an evolving discipline under AI (craft, history, and future of software creation)

Industry Focus

Developer Tools / AI Coding PlatformsFrontier AI Research & Model DevelopmentB2B Productivity & Workflow Automation (Slack-centric ops)Systems Software / Infrastructure (Rust, engines, VMs)

Content Categories

Build logs / technical demos (proof-by-construction)Thought leadership via futurecasting questionsInterview-driven authority borrowing (founder/researcher conversations)Product narrative: showcasing capability through extreme benchmarks

Performance Insights

753.875%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Extreme AI-assisted build demonstrations (proof-by-construction at scale)Programming/AI conversations with high-status operators (founders/research leaders)

Virality Signals

Concrete awe factor ("3M+ lines", "in a week", "ran uninterrupted")High-status name association (Stripe CEO, prominent AI researcher)Shareable novelty (from-scratch browser, custom VM) that signals technical legitimacyTrust-building hedges (admits imperfections while still showing progress)Discussion catalyst prompts about near-future tooling (AI coworkers in Slack)

Structure & Quality

45

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.85/10

Uniqueness Score

Common Hooks

Spectacle + speed benchmark (impossible-sounding build in an absurdly short time window)Big-number credibility hook (lines of code, duration, scale of artifact)Direct future-of-work question to invite speculationAuthority hook via notable guest name + topic triad (culture/use cases/future direction)

Common Endings

Candid qualifier that increases trust ("it kind of works" / "far from parity")Link-forward close ("watch full interview" / "link in thread")Open-ended prompt implied (inviting others to weigh in on timeline/feasibility)

Value Delivery Methods

Proof-by-demo: shows what frontier tooling can produce, not just claimsTechnical decomposition: lists subsystems to convey real engineering workHonest calibration: frames limitations to avoid hype and increase credibilityCurated insight via interviews: imports frameworks and context from elite operators

Formatting Style

Headline first line, then compact technical paragraphDense technical noun stacking (components listed in series)Minimal emojis, minimal fluff, high signal-to-noiseOccasional italics for emphasis

Audience & Tone

YES

Question Usage

0.2%

Response Rate

Detected Tone

Technical showman (spectacle anchored in specifics)Candid realist (anti-hype qualifiers, calibrated claims)Builder-first thought leader (demonstrations over opinions)semi-formalfirst-person

Interaction Style

Spectator-to-believer conversion (astonishment -> technical specifics -> trust)Intellectual salon: invites builders to debate feasibility/timelinesStatus-driven discovery (audience follows for access to notable conversations)

Community Building Signals

Recurring interview series builds an ongoing "who's who" narrativeQuestions framed around shared pain (ops work) encourage practitioner repliesDemonstrations create a reference point the community can cite and share

Writing Style Patterns

Content Strategy

Hook: Spectacle + speed benchmark (impossible-sounding build in anTone: semi-formalCTA: Watch/consume long-form (interview link)

Writing style breakdown

- Core characteristics

Professional, concise, technically literate.

Informative and descriptive rather than overtly persuasive.

Understated, almost minimalistic; no fluff or melodrama.

Feels like a founder / researcher speaking to other builders, engineers, and tech-literate professionals.

Calmly confident; the tone assumes the reader understands or is curious about technical depth.

- Sits between professional and casual

Professional in vocabulary, grammar, and politeness.

Casual in brevity, occasional light exclamation, and subtle informality (e.g., tilde usage, conversational asides).

No slang like “gonna,” “wanna,” etc.

No corporate buzzword overload; language is straightforward and concrete.

- Emotional tone and energy

Low- to medium-energy; never hyped or salesy.

Excitement is expressed via content (ambitious projects) rather than adjectives.

Emotion is mostly implied through surprising facts (3M+ lines of code, from-scratch engine, etc.).

Rare use of exclamation points, and when used, they emphasize mild incredulity or appreciation rather than hype.

- Signature writing traits

Very strong bias toward concrete detail over abstract superlatives.

Example patterns: listing technologies, components, or workflows instead of vague claims.

- Occasional rhetorical questions to open a thought or frame a concept

When will we be able to…?
Who will be the Gartner / Forrester of AI?

Frequent use of compact appositive descriptions: “a conversation with [Name], [role], on [topics].”

- Occasional light hedging to express intellectual humility

Phrases like “It kind of works!”, “very far from Webkit/Chromium parity,” “we were astonished that…”

Parenthetical clarifications and asides: “(including Stripe!)”, “(bidirectional DM's, calls, shared links)”.

- Primarily first-person plural (“we”) when discussing their own work or company

We built a browser…
we’re seeing software development change…

- Third-person when describing guests or other companies

A conversation with John Schulman…
Rippling was ~the first piece of software we paid for…

- Second-person is rare, and even when present, it is indirect and contextual, not instructional

access to all your team's tools

- Very light, non-pushy directives

Watch the full interview here:
Link to full video in thread.

No hard-sell or high-pressure CTAs like “Sign up now,” “Don’t miss this,” etc.

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

Sign in to unlock the full writing analysis

Apply Michael T.'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 Michael T..

Chris Donnelly

Chris Donnelly

Co Founder of Searchable.com | Follow for posts on Business, Marketing, Personal Brand & AI

21 Viral Score

Amr El Selouky

Amr El Selouky

CEO at Manara (YC W21) | MENA Growth & Expansions Leader Driving Tech Scaleups

59 Viral Score

12 Viral Score

Jeff Schwartz

Jeff Schwartz

VP of Insights & Impact at Gloat; Work & Workforce Orchestration Platform. Global Researcher, Future of Work; Author, WORK DISRUPTED; Co-author, Workforce Ecosystems, Adjunct Professor Columbia Business School

20 Viral Score

Dan Hockenmaier

Dan Hockenmaier

Exploring, writing at danhock.co

110 Viral Score

Alex Rechevskiy

Alex Rechevskiy

I help PMs land $700K+ product roles 🚀 Follow for daily posts on growing your product skills & career 🛎️ Join our exclusive group coaching program for ambitious PMs 👇

10 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 Michael T. and auto-post for 30 days.

ViralBrain learns their voice and publishes for you.

Try it free

Write like Michael T..

Try it free

Discover more LinkedIn creators · ViralBrain

Other LinkedIn creators

  • Lenny Rachitsky
  • Lily Ray
  • Eli Schwartz
  • Daniel Korenblum
  • Ed Biden
  • Amber Vodegel
  • Rémy Touzard
  • Kyle Poyar
  • Samuel Hess
  • Chris Marrano
  • 🧲 Adam Kitchen
  • Steven Bartlett
  • Jon Brosio