Nathaniel Harvatt's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 91 posts analyzed

What is AuthorDNA?

AuthorDNA is a hidden linguistic profile - the subconscious patterns and habits unique to how someone writes. We analyze posts across 243 style metrics specific to B2B social content and compare them to thousands of other authors.

These are the markers most people don't even notice - but they're what makes writing sound authentic.

Does More Of...

Patterns you use more often than typical LinkedIn authors

Proportion of hashtags using CamelCase
signature
6x more
Whether the post starts with an emoji
signature
21x more
See example from 10 Dec 2025
Proportion of hashtags placed at the end
signature
4x more
Percentage of emoji that are neutral/functional
signature
6x more
See example from 10 Dec 2025
Emoji count relative to sentence count
signature
9x more
Whether CTAs include emoji
signature
9x more
Whether emoji are used as bullet point markers
signature
22x more

Does Less Of...

Patterns you use less often - that's part of your style too!

Hook lines relative to total lines
consistent
2x less
Closing length relative to total post
consistent
1.9x less
Hook length relative to total post
consistent
1.8x less
Where LinkedIn's 'see more' cuts off
consistent
1.8x less
How easy the text is to read (higher = easier)
consistent
1.8x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you start your LinkedIn posts with an emoji 21 times more than the average person. That’s not just a stylistic quirk - it’s a full-blown signature. Emoji aren’t just sprinkled in your work; they’re your opening act, setting the tone before a single word appears. It’s the kind of pattern only raw data could surface, because no one thinks they’re doing it this much.

This works because it immediately signals approachability and clarity - a visual handshake before you even get to your point. Now try briefing a ghostwriter: “Start every post with an emoji, but make it neutral or functional, not cute. Do it 21x more than everyone else. Oh, and keep your hooks and closings shorter than anyone expects.” They’d stare at you blankly. You can’t reverse-engineer this into a playbook. It’s a fingerprint, not a formula.

Posting 4.8 times per week, you’re relentlessly consistent, but it’s the subconscious DNA of your writing that sets you apart. This is exactly what Drumbeat captures - the patterns you can’t articulate but your audience feels. Your company’s message, in each team member’s authentic voice, at scale.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

04 Aug 2025 - 10 Dec 2025

4.8 posts/week avg
19/19 active weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Average position of CTAs in the post Lower half HIGH STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 64% HIGH STEADY
Whether CTAs are concentrated at the end of the post 8% HIGH VARIES
Whether CTAs include emoji 76% of posts HIGH STEADY
Whether any call-to-action exists 97% of posts HIGH STEADY
CTAs phrased as questions vs statements 4% LOW VARIES
Whether CTAs include hashtags 14% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 14% HIGH VARIES
Average emoji per line of text 49% HIGH STEADY
Average number of emoji appearing together in clusters 26% HIGH VARIES
Balance between positive and negative emoji 9% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.6 HIGH VARIES
Count of neutral/functional emoji 1.8 - 6.1 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.2 HIGH VARIES
Emoji count per 1000 words 13 - 56 HIGH STEADY
Emoji count relative to sentence count 87% HIGH STEADY
Emoji density in CTA sections 0 - 63 HIGH VARIES
Emoji density in the hook section 11 - 60 HIGH STEADY
Emoji usage in the middle section of the post 2 - 105 HIGH STEADY
Emoji used to replace words entirely 9% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How consistently the same emoji is used for bullets 45% HIGH VARIES
How often the same emoji repeats across the post 19% HIGH VARIES
Largest group of adjacent emoji 26% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 3.8 HIGH VARIES
Number of different emoji types used 1.1 - 4.5 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.0 HIGH STEADY
Number of emoji in the opening hook 0.7 - 2.6 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 3% HIGH VARIES
Percentage of emoji that are negative/warning 2% HIGH VARIES
Percentage of emoji that are neutral/functional 87% HIGH STEADY
Percentage of emoji that are positive/celebratory 11% HIGH VARIES
Percentage of lines containing at least one emoji 45% HIGH STEADY
Proportion of emoji appearing in clusters 7% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.5 HIGH VARIES
Total number of emoji in the post 1.3 - 6.2 HIGH STEADY
Variety of different emoji used (unique/total ratio) 69% HIGH STEADY
Variety of different emoji used as bullets 19% HIGH VARIES
Whether any emoji are used in the post 86% of posts HIGH STEADY
Whether emoji are used as bullet point markers 49% HIGH VARIES
Whether the post starts with an emoji 62% HIGH STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Ratio of negative to positive contractions 11:1 LOW VARIES
Count of negative contractions used 13% TYPICAL VARIES
Count of positive contractions used 63% TYPICAL VARIES
Number of different contraction types 65% TYPICAL VARIES
Percentage of words that are contractions 67% TYPICAL VARIES
Total number of contractions 76% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 10% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 57% TYPICAL VARIES
Variety of different contractions used 29% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 0 - 23 LOW VARIES
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-10 per 1k words LOW VARIES
Usage of 'so' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-2 per 1k words LOW VARIES
Overall grammatical word usage 116 - 191 TYPICAL STEADY
Usage of 'and' per 1000 words 10 - 44 TYPICAL STEADY
Usage of 'as' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 22 TYPICAL VARIES
Usage of 'of' per 1000 words 1 - 21 TYPICAL STEADY
Usage of 'that' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 9 - 44 TYPICAL STEADY
Usage of 'to' per 1000 words 15 - 42 TYPICAL STEADY
Usage of 'with' per 1000 words 0-18 per 1k words TYPICAL STEADY
Variety of function words used 42% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 11 - 16 HIGH STEADY
Hashtag density per 100 words 3.8 - 8.9 HIGH STEADY
Proportion of hashtags in ALL CAPS 6% HIGH VARIES
Proportion of hashtags placed at the end 97% HIGH STEADY
Proportion of hashtags using CamelCase 94% HIGH STEADY
Total number of hashtags 4.2 - 8.4 HIGH STEADY
Whether any hashtags are used 100% of posts HIGH STEADY
Proportion of all-lowercase hashtags 0% LOW STEADY
Proportion of hashtags in the opening 0% LOW STEADY
Ratio of inline hashtags to end hashtags 4% LOW VARIES
Whether the opening line contains a hashtag 1% LOW VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.3 - 2.3 HIGH STEADY
Whether the hook contains a question 38% of posts HIGH VARIES
Whether the hook contains emoji 76% of posts HIGH STEADY
Whether there's a clear opening hook section 78% of posts HIGH STEADY
Hook length relative to total post 40% LOW STEADY
Hook lines relative to total lines 32% LOW STEADY
Where LinkedIn's 'see more' cuts off 40% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 3% TYPICAL VARIES
Character count of the hook 209 - 337 TYPICAL STEADY
Character position where the hook ends 209 - 337 TYPICAL STEADY
Negation words in the hook 0.0 - 0.8 TYPICAL VARIES
Use of 'you/your' in the hook 3% TYPICAL VARIES
Whether there's a blank line after the hook 15% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.9 - 2.7 HIGH STEADY
Blank lines per 100 total lines 36 - 45 HIGH STEADY
Lines containing exactly one sentence 83% HIGH STEADY
Number of visual text blocks 4.6 - 8.8 HIGH STEADY
Predictability of line length pattern Fairly consistent HIGH STEADY
Proportion of blank space 41% HIGH STEADY
Ratio of lines starting with punctuation 15% HIGH VARIES
Spacing between content-rich lines 1.6 - 2.0 HIGH STEADY
Average characters per line 68 - 116 LOW STEADY
Average words per line 10 - 17 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in line lengths 0 - 249 LOW VARIES
Average lines per text block 1.0 - 1.5 TYPICAL STEADY
Percentage of very short lines (<5 words) 10% TYPICAL VARIES
Ratio of lines starting with ALL CAPS 2% TYPICAL VARIES
Variation in block sizes 60% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 53% HIGH VARIES
Average items per emoji list 87% HIGH VARIES
Number of dash/bullet list sections 0.0 - 0.6 HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.7 HIGH VARIES
Variety of emoji used as bullets 8% HIGH VARIES
Whether any list structure is used 40% of posts HIGH VARIES
Whether dash/bullet lists are used 15% of posts HIGH VARIES
Whether emoji bullet lists are used 25% of posts HIGH VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 0% LOW STEADY
Nesting depth of numbered lists 0% LOW STEADY
Number of numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 29% HIGH VARIES
Length of longest repeated phrase 0.7 - 3.6 HIGH STEADY
Count of idiomatic expressions 0.0 - 0.2 TYPICAL VARIES
Count of words used only once 53 - 88 TYPICAL STEADY
How often three-word phrases repeat 0.0 - 3.7 TYPICAL VARIES
How often two-word phrases repeat 0.4 - 8.8 TYPICAL STEADY
Number of unique words used 62 - 105 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 6% TYPICAL STEADY
Unique words divided by total words 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.8 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.7 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 59% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Sentences starting with time words (%) 1% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Count of sentences starting with pronouns 0.0-1.5 per post TYPICAL VARIES
Sentences starting with adverbs (%) 4% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 31 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.1 - 1.5 HIGH STEADY
Whether the ending includes emoji 67% of posts HIGH STEADY
Whether the ending includes hashtags 100% of posts HIGH STEADY
Closing length relative to total post 40% LOW STEADY
Whether the closing has a signature phrase 6% of posts LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
ALL CAPS words in the closing 3% TYPICAL VARIES
Character length of the closing 192 - 346 TYPICAL STEADY
Whether the ending has a call-to-action 43% of posts TYPICAL VARIES
Whether the ending is a question 15% TYPICAL VARIES
Whether there's a clear closing section 99% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 84% HIGH STEADY
Consecutive short paragraphs 3.7 - 8.4 HIGH STEADY
Total number of paragraphs 4.4 - 8.7 HIGH STEADY
Average change in length between paragraphs 44% LOW STEADY
Average sentences per paragraph 1.0 - 1.5 LOW STEADY
Average sentences per paragraph 1.0 - 1.5 LOW STEADY
Consecutive long paragraphs 1% LOW VARIES
How much paragraph length varies 35% LOW VARIES
Length of your longer paragraphs (80th percentile) 0.9 - 2.3 LOW STEADY
Typical paragraph length (median) 0.8 - 1.4 LOW STEADY
Variation in length changes between paragraphs 40% LOW VARIES
How frequently new paragraphs start 48 - 79 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Balance/distribution of different word types Moderately varied TYPICAL STEADY
Percentage of auxiliary/helper verbs 4% TYPICAL STEADY
Percentage of words that are adjectives 9% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 5% TYPICAL STEADY
Percentage of words that are nouns 19 - 28 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 11 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 14 - 32 HIGH STEADY
How easy the text is to read (higher = easier) 16 - 46 LOW STEADY
Average word complexity (syllables per word) 1.7 - 2.0 TYPICAL STEADY
Percentage of complex words (3+ syllables) 17 - 27 TYPICAL STEADY
Total sentence count 3.6 - 7.0 TYPICAL STEADY
Total syllables in the post 133 - 251 TYPICAL STEADY
Total word count of the post 74 - 137 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-11 per 1k words HIGH VARIES
Hyphen usage per 1000 words 6-43 per 1k words HIGH STEADY
Percentage of sentences ending with a question 0 - 28 HIGH VARIES
Ellipsis (...) usage per 1000 words 0-3 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-14 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Parentheses usage per 1000 words 0-6 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 9% LOW VARIES
Percentage of sentences trailing off with ellipsis 34% LOW VARIES
Quotation mark usage per 1000 words 0-7 per 1k words LOW VARIES
Semicolon usage per 1000 words 0-2 per 1k words LOW VARIES
Colon usage per 1000 words 16-43 per 1k words TYPICAL STEADY
Comma usage per 1000 words 17-72 per 1k words TYPICAL STEADY
Question marks per 1000 words 0-17 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 26% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Use of story transitions 4% LOW VARIES
Average length of quoted passages 0 - 93 TYPICAL VARIES
Number of narrative/story signals 0.2 - 2.0 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.5 TYPICAL VARIES
Total characters in quoted content 0 - 113 TYPICAL VARIES
Whether the post contains quotations 38% of posts TYPICAL VARIES
Whether the post tells a story 35% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How often paragraphs contain just one sentence 77% HIGH STEADY
Length of your longer sentences (80th percentile) 16 - 52 HIGH STEADY
Overall sentence complexity 0 - 141 HIGH VARIES
Percentage of sentences over 20 words 40% HIGH STEADY
Variation in clause count across sentences 0 - 10 HIGH VARIES
Variation in sentence lengths 5 - 21 HIGH STEADY
Word count of the longest sentence 22 - 59 HIGH STEADY
Parenthetical breaks per 1000 words 0-6 per 1k words LOW VARIES
Percentage of sentences under 8 words 12% LOW VARIES
Average number of clauses per sentence 1.7 - 3.8 TYPICAL STEADY
Average number of words per sentence 13 - 30 TYPICAL STEADY
Average words per sentence 13 - 30 TYPICAL STEADY
How much sentence length varies (normalized) 61% TYPICAL STEADY
Length of your shorter sentences (20th percentile) 6 - 18 TYPICAL STEADY
Typical sentence length (median) 11 - 27 TYPICAL STEADY
Word count of shortest sentence 2 - 15 TYPICAL STEADY

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