I know it's anecdotal but I hit the £100k cap five years ago and every year since then I have taken on less paid work as my consulting rates rose, to stay under the cap. Year 0: 6 days per week runni…

65705 viral

Tax Policy5 months ago

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Fun idea: we made the "Rosetta stone" of AI Agents courses. You build the same 10 agents in three different frameworks: N8N (for the no-coders), DSPy (for the optimizers) and LangChain/LangGraph (for…

19703 viral

AI5 months ago

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"How accurate are AI personas?" I just got this question again so I'm putting my response here so I can link to it next time: There's no easy answer. The problem with accuracy is you have to define…

15713 viral

AI5 months ago

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Does this person exist?: knows python + good at video editing. Thinking about making our first hire to professionalize our prompt engineering Udemy course which just hit 18k new students per month.…

10401 viral

Hiring5 months ago

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Every CRM homepage: "We offer a central source of truth"

13101 viral

Sales & CRM5 months ago

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Great use case I didn't think of. Ask a bunch of people about your idea in Rally, then use our custom summarize to pinpoint what segments liked it.

6301 viral

Market Research4 months ago

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Topics & Content Focus

Primary Topics

Practical AI-powered market research and audience personas used as a fast pre-validation layer before traditional studiesHow working operators should integrate AI into existing product, marketing, and research workflowsBuilding and scaling AI education products (e.g., prompt engineering courses) as real businesses, not just contentDecision-making frameworks for evaluating AI outputs (usefulness vs. accuracy, when to trust vs. when to validate in market)

Secondary Themes

Hiring for hybrid technical–creative roles in AI and education startups (Python + video + content ops)Copywriting and creative testing augmented by AI for iteration on pre-validated ideasLimitations, failure modes, and gaming of AI-based research metricsCultural commentary and light humor around AI adoption and blame-shifting

Industry Focus

B2B SaaS for research and customer insight (AI-driven survey and persona tooling)B2B marketing and conversion-focused copywriting informed by AI market researchOnline education and info products in AI and prompt engineering

Content Categories

Educational deep dives that debunk misconceptions and provide nuanced frameworksProduct and feature use-case narratives tied to specific workflows (e.g., virtual focus groups, summarization)Behind-the-scenes business building and hiring for an AI education / SaaS hybrid companyExpert spotlights and external resources that model “how smart creatives should work with AI”Short, observational humor posts about AI in the workplace

Performance Insights

19.33333333333333%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Deep, nuanced breakdowns of AI persona and AI market research accuracy, methodology, and practical limitationsFrameworks that reposition AI from “magic oracle” to a structured, cheap pre-validation step before real-world testingRealistic, data-anchored expectations about what AI can and cannot predict in marketing performance

Virality Signals

Posts that tackle misunderstood metrics like “accuracy of AI personas” in a contrarian but grounded way earn more comments and savesContent that can be reused as a canonical answer (explicitly written so it can be linked to later) suggests strong evergreen valueSpecific percentage claims and comparisons (e.g., real-world survey self-consistency vs AI accuracy) create quotable, shareable snippetsThoughtful demystification of hype narratives around AI tends to draw in practitioners who engage with questions and counterexamples

Structure & Quality

250

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

8.5/10

Uniqueness Score

Common Hooks

Directly surfacing a frequently asked question from the audience (e.g., “How accurate are AI personas?”)Open-ended, slightly provocative questions that define an ideal collaborator or edge-case scenario (e.g., “Does this person exist?”)Authority-building statements that position someone as “the” practitioner who gets a topic better than anyoneShort, punchy cultural takes framed as quotes or one-liners

Common Endings

Reframing the original question into a “better question” that changes how the reader evaluates AIConcluding with a clear operating principle or decision rule (e.g., AI as pre-validation, humans + real market as final judge)Soft pointers to next actions like watching a video, using a tool, or validating insights with real customersLeaning into pragmatic uncertainty (“you’ll never know until you try in market”) rather than definitive promises

Value Delivery Methods

Reframes naive questions about AI (“How accurate is it?”) into richer, decision-relevant questions (“Is this useful, and for what?”)Shares operator-level workflows (virtual focus groups, panel accuracy judging, pre-validation loops) rather than surface-level tipsBlends quantitative reasoning with qualitative judgment to help practitioners make better calls on when to trust AI vs humansExposes real constraints and trade-offs (gaming accuracy scores, intention–action gap, survey unreliability) that most marketing content glosses over

Formatting Style

Plain-text posts with conversational paragraphing and line breaks for rhythmUse of quotation marks to highlight key questions or phrases, creating built-in hooksOccasional bolding or emphasis markers to spotlight the true question or main takeawayLists and comparative statements (yes/no, 90% vs 80% vs 50–60%) to structure complex explanations

Audience & Tone

YES

Question Usage

0.7%

Response Rate

Detected Tone

Pragmatic AI operator who cares about what works in the real world more than theoretical hypeSkeptical, anti-hype analyst who uses numbers and edge cases to ground the conversationSmart-casual educator who can move between humor, hiring, and deep methodology without changing personaRelatable expert speaking as a peer to other builders, marketers, and researcherssemi-formalfirst-person

Interaction Style

Educational and explanatory, anticipating objections and common misunderstandings before they’re raised in commentsCollaborative, often inviting the audience to fill capability gaps (hires) or explore resources from other expertsPractitioner-to-practitioner, assuming the audience cares about implementation details and real accuracy rather than hypeLightly conversational, using questions and shared frustrations to create a sense of peer dialogue

Community Building Signals

Publicly highlighting and endorsing other practitioners (e.g., copywriters using AI well), strengthening an expert ecosystemUsing posts to source talent for niche, hybrid roles, making the audience feel like insiders to the company’s growthCreating canonical explanations (e.g., on AI personas) that can be repeatedly referenced, building a shared mental model with followersFraming AI as a tool for collaborative thinking rather than solo genius, encouraging readers to co-interpret results and challenge assumptions

Writing Style Patterns

Content Strategy

Hook: Directly surfacing a frequently asked question from the audiTone: semi-formalCTA: Soft educational CTAs that invite the reader to ad

Writing style breakdown

- Core characteristics

Conversational, informal-professional, and grounded in real-world detail.

Very clear and accessible; no jargon unless it’s absolutely necessary, and when used it’s contextualized.

Pragmatic and utility-focused: the writing is trying to be useful more than inspiring or poetic.

- Tone often mixes

Informative and explanatory (especially in longer posts).

Lightly humorous or wry (short, punchy posts).

Mildly skeptical / critical when discussing industry claims or “accuracy”.

- Formal vs casual

Overall casual but competent: sounds like a smart practitioner talking to peers, not like a formal essay.

Uses contractions naturally (“it’s”, “you’re”, “I’ve”, “you’ll”).

Will openly say things like “this is surprisingly fun” or “because I’m bored”.

- Emotional tone and energy

Medium energy: not hypey, but not flat.

Longer posts are reflective and nuanced, with a “let’s think this through” energy.

Short posts are punchy and high-clarity, often with a single idea or joke.

Emotionally, the voice is calm, confident, mildly playful, and slightly contrarian when needed.

- Signature traits

Uses rhetorical questions both as hooks and as internal checkpoints: “What do you mean ‘accurate’?”, “Can it pick the winning ad out of two options?”

Often reframes the core question: e.g. from “How accurate is it?” to “Is this useful?”

Strong use of concrete numbers and specifics to build credibility (e.g. “18k new students per month”, “280k ppl”, “90% of the time”, “£100k cap”).

Occasional quick, tweet-like one-liners, often observational or quippy, e.g. “Every CRM homepage: ‘We offer a central source of truth’” or “‘blame it on the AIs’ is the new ‘blame it on the interns’”.

Direct audience engagement is present but not overbearing; more “explaining something in a thread” than “hard sell”.

- Person and address

Uses first person singular “I” frequently when sharing personal experiences or opinions.

Uses “we” when speaking on behalf of a product/team/company (“we rolled this out”, “we made the ‘Rosetta stone’…”).

Uses “you” for direct address, especially when giving advice or framing benefits (“you build the same 10 agents…”, “so you could try it out”).

Mixes statements with direct instructions (“Ask a bunch of people… then use our custom summarize…”).

- Comfortable with direct but friendly commands

Ask a bunch of people…

Watch this video…

- Equally comfortable with reflective/conditional phrasing

What I tend to do is…

If I see anything surprising…

If I don’t believe it… I go and run a real world study…

Rarely uses strong imperatives like “You must” or “You need to”; prefers explanatory guidance over authoritarian direction.

Mike Taylor

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post

Topics & Content Focus

Primary Topics

Secondary Themes

Industry Focus

Content Categories

Performance Insights

Best Performing Topics

Virality Signals

Structure & Quality

Common Hooks

Common Endings

Value Delivery Methods

Formatting Style

Audience & Tone

Detected Tone

Interaction Style

Community Building Signals

Writing Style Patterns

Content Strategy

- Core characteristics

- Tone often mixes

- Formal vs casual

- Emotional tone and energy

- Signature traits

- Person and address

- Comfortable with direct but friendly commands

- Equally comfortable with reflective/conditional phrasing