David Pawlan

1K posts

David Pawlan banner
David Pawlan

David Pawlan

@DavidPawlan

growth @ merit systems

Chicago Sumali Mayıs 2013
393 Sinusundan411 Mga Tagasunod
Naka-pin na Tweet
David Pawlan
David Pawlan@DavidPawlan·
my top 5 favorite claude code 'thinking' words: 1. boondoggling (makes me laugh every time) 2. boogieing 3. garnishing 4. dilly-dallying 5. pontificating
David Pawlan tweet media
English
4
0
22
1.5K
Omar
Omar@omarvvvr·
Hey devs, what do you prioritize first? -speed -quality
English
38
0
37
2K
David Pawlan
David Pawlan@DavidPawlan·
@AlfieJCarter what are the data sources you're pulling from to find leads/enrich contacts
English
0
0
0
29
Alfie Carter
Alfie Carter@AlfieJCarter·
R.I.P. rebuilding your GTM stack from scratch every session. A complete Claude Skill Library can replace a $15,000/month agency retainer. It is not as easy as hiring someone else to do it. But if you start today, you can have 130+ skills loaded into Claude Code covering every GTM job by end of this week. I usually charge $299 for access to this library but today, it's free. Like this post + comment 'Agents' and I'll DM you the entire skill library for free. (Must be following, or I can't message.) Taking this down in 48 hours.
Alfie Carter tweet media
English
116
6
117
5.4K
David Pawlan nag-retweet
cami
cami@camiinthisthang·
as someone who is paying upwards of $1K per month on AI tools, by far the best and most used one is poncho if you're an entrepreneur or in any sort of bd role, its a must have. Right now im looking for the intersection of D2C brands who are posting on instagram with more than 3 day gaps between posts AND are hiring for a socials/marketing person AND are running meta ads and I can literally just ask poncho for this and it found me all my leads with their emails😍
cami tweet media
English
7
1
39
3K
David Pawlan
David Pawlan@DavidPawlan·
@neilpatel seo = plan your content quarterly geo = plan your content weekly
English
0
0
0
8
Neil Patel
Neil Patel@neilpatel·
Time is not on your side when it comes to GEO. Industries are seeing shifts faster than ever. Look at the industries being disrupted the fastest. Those who act now have a leg up on their competition.
Neil Patel tweet media
English
13
19
68
3.3K
David Pawlan nag-retweet
David Pawlan
David Pawlan@DavidPawlan·
find me homes in 60062 that are 15+ years old and have been in the path of a recent hail storm 340 homes found i can't fucking believe this worked 🤯
David Pawlan tweet mediaDavid Pawlan tweet media
English
3
2
20
6.6K
David Pawlan nag-retweet
David Pawlan
David Pawlan@DavidPawlan·
The future of lead sourcing & data enrichment is soon here 👀 Thousands of unique datasets compiled into one search - traditional company/people data - government filings/registries - weather patterns - maps - financial filings - background search - and so many more…
English
4
3
24
2.7K
Gaurav
Gaurav@gauravsbuilding·
@DavidPawlan @UseFastlane building this now. another really important layer to this is analysis of your existing posts to see which ones are performing and doubling down on those etc which we're working on now
English
1
0
2
136
Gaurav
Gaurav@gauravsbuilding·
There’s a new format of TikTok slideshows emerging > slide 1: pretty girl from Pinterest > slide 2: aesthetic list of “tips” (that plug your app) This account has done 50m+ views just repeating this one winning format Takes 10 seconds to make 100s of these on Fastlane btw
Gaurav tweet media
English
20
18
400
26.6K
Thomas Trimoreau
Thomas Trimoreau@TTrimoreau·
Time to promote your startup Drop your project URL Let’s drive some traffic
English
93
1
54
2.8K
David Pawlan
David Pawlan@DavidPawlan·
@kapilansh_twt can't review when I don't even know how to code although when Fable was out, I did have it review and optimize code bases for me and that was epic
English
0
0
0
25
kapilansh
kapilansh@kapilansh_twt·
be honest are you actually checking every line of code AI writes for you or just running it and hoping for the best
English
64
0
54
1.5K
Victor 🧢
Victor 🧢@victor_bigfield·
is build in public dead on X?
English
52
0
39
3.8K
David Pawlan
David Pawlan@DavidPawlan·
@euboid i know a guy who crushes at this, only takes selected clients, referral only lmk if you want an intro
English
0
0
0
317
Wilson Wilson
Wilson Wilson@euboid·
We get ~100 clicks/day from Google. Looking to 10x that. Do I know anyone who can help us take our SEO to the next level?
Wilson Wilson tweet media
English
42
3
86
9.3K
David Pawlan
David Pawlan@DavidPawlan·
automating high value lead sourcing is the key unlock pulling high quality, targeted data > spray n pray seeing teams escape the Apollo spell of high level data and do searches like: -> find me homes older than 15 years old in the path of a severe weather storm this year -> pull me CFOs at companies that import goods from India -> grab home address for every house that has a registered pool permit then toss in an FDE, a cron job, an email sequencer you've got one of the most insane lead gen workflows on autopilot
English
0
0
1
46
Omar
Omar@TheOneandOmsy·
Becoming pretty clear the real AI labor story is less mass layoffs and far more org chart restructuring > Good slides from Cloudflare $NET on automating sales support, redeploying the savings into AEs, and driving more growth w/ the same budget
Omar tweet mediaOmar tweet media
English
11
3
43
3.7K
David Pawlan
David Pawlan@DavidPawlan·
@Tristanrhee3 hit up everyone in my network, ran a demo, asked for a warm intro to someone in their network that they think could be a good fit everyone starting off should rip this sequence, it slaps
English
0
0
0
42
Tristan Rhee
Tristan Rhee@Tristanrhee3·
where did you find your first 10 users?
English
61
0
40
4.3K
David Pawlan
David Pawlan@DavidPawlan·
insane lead sourcing flow #3 "find me CFOs at US companies actively importing goods from India right now" 1/ Poncho pulled US customs manifest data 2/ found companies w/ active India import history 3/ sorted by this year's shipment volume 4/ enriched company data to find CFO contact 101 leads every single one is moving high volume money to India this month
David Pawlan tweet mediaDavid Pawlan tweet media
English
1
0
2
66
Thomas Trimoreau
Thomas Trimoreau@TTrimoreau·
can one person really build the next unicorn with AI?
English
77
1
61
4.2K
David Pawlan
David Pawlan@DavidPawlan·
@hridoyreh no just because other methods of search are popping doesn't mean seo doesn't still have insane value
English
0
0
0
36
Hridoy Reh
Hridoy Reh@hridoyreh·
Is SEO dead?
English
47
2
30
9.8K
Daniel Smidstrup
Daniel Smidstrup@DanielSmidstrup·
I am a founder scare me with 1 word
English
708
5
298
42.6K
David Pawlan
David Pawlan@DavidPawlan·
@ecomchigga i'll create you some badass pdfs if you create twitter accounts and sell them
English
0
0
0
2
ecomchigga
ecomchigga@ecomchigga·
i make $8,247/month selling a PDF on a twitter account that has no name or face attached to it. the whole business runs in 14 minutes a day. 6 months ago the account didn't exist. here's every step. 1. picked a niche where people were already spending money on guides and courses. not what i found interesting. what people were actively paying to learn. 2. searched twitter and reddit for "how do i" and "struggling with" inside that niche. looked for the same question being asked by different people in different words. 3. checked gumroad and whop to see if products already existed in that space. competition isn't a warning sign. competition is confirmed demand. 4. picked the one problem i understood well enough to explain clearly to a stranger in one sitting. 5. opened google docs and wrote the complete answer like a long text to a friend who genuinely needed help. didn't format. didn't design. just wrote until it was done. 6. organized the mess into: what the problem actually is, why most free advice doesn't fix it, the specific step-by-step solution, and real examples with real numbers. 7. kept it between 11 and 22 pages. short enough to finish in one read. detailed enough that the reader doesn't need to google anything else. 8. added screenshots wherever a step needed proof or visual clarity. 9. exported as PDF. made a cover in canva with a free template. 8 minutes. 10. created a gumroad account. free until your first sale, then 10% per transaction. uploaded the PDF. wrote a title that describes the outcome, not the file. 11. priced it at $39. low enough for an impulse buy. high enough that buyers actually respect it and open it. 12. pulled 2 pages from the guide and turned them into a free preview. this is the lead magnet that feeds everything. 13. created a free telegram group. pinned the free preview at the top. pinned the $39 product link right below it. 14. set up the telegram so new members land in a room where other buyers are posting screenshots, asking questions, and sharing progress. the community does the selling. not you. 15. created a faceless X account. profile picture with no face. bio explains who i help and what result i deliver in one line. bio link goes straight to telegram. 16. used an aged account (6+ months old) to skip the algorithm's new-account suppression. fresh accounts get buried for the first 60-90 days regardless of content quality. 17. found 10 accounts in my niche between 10K and 50K followers. screenshotted their 50 best-performing tweets. studied the hooks, the formats, and the structures that consistently pulled views. 18. set up a Claude project with 3 reference files: a bank of 170+ proven viral tweets with view counts, a voice profile with rules that strip every AI tell, and a formatting guide that controls rhythm and sentence variation. 19. used Claude to generate 3 tweets per day. every tweet checked against the reference bank and scanned for AI patterns before posting. 20. scheduled everything through TweetHunter. posting times locked at 8am, 1pm, and 8pm with 4-6 hour gaps. spacing defeats the algorithm's session decay penalty. 21. never posted more than 3 times per day. the algorithm runs a penalty called the AuthorDiversityScorer that exponentially cuts your reach for every additional post from the same author in someone's feed. your 4th tweet of the day gets roughly 20% of the reach your 1st one got. 22. made 1 of the 3 daily tweets a CTA. structure: first 70-80% is pure value strong enough to bookmark on its own. then "comment [KEYWORD] and i'll send you the free guide. must be following + RT." 23. set up TweetHunter's silent auto-DM. when someone comments the keyword, they get the telegram link automatically. no public reply. silent only. public auto-DM replies get flagged as spam behavior and tank your reach score. 24. replied publicly to every commenter for the first 30-60 minutes after every single post. each author reply fires a 75x engagement weight in the algorithm. this is the single highest-leverage action available to any creator on the platform and almost nobody runs it on purpose. 25. that 30-minute window exists because X's engagement cache refreshes every 5 minutes for new tweets but only every 10 minutes for tweets older than 30 minutes. engagement velocity in the first half hour propagates through the scoring system at 2x speed. after that the window closes and the same engagement is worth half as much. 26. spent 20 minutes every morning in DMs answering questions from new telegram members. kept answers short. when someone asked something the guide covers in depth i'd say "i cover this inside the full system, i don't normally go this deep in DMs but i can show you what's inside if you want." not a pitch. a boundary. 27. used yes-stacking in longer DM conversations. 4 questions the lead can only say yes to before the product ever comes up. by the time price is mentioned they've already decided without realizing it. 28. for anyone who said "let me think about it" i replied "honestly i don't think you're ready for this yet, let's revisit in a few months." took the sale away. 30-50% of stalled conversations closed same day from the near-miss psychology alone. 29. posted proof constantly. every gumroad notification screenshotted. every testimonial shared. every result documented. nothing on earth sells like receipts from real people. 30. raised the price $5 after every 20 sales. $39 became $44 became $49. same product. growing proof. more perceived value with every bump. 31. self-reposted top performing tweets at 12-24 hours with no penalty. re-posted them fresh after 48+ hours when the algorithm's cache resets and the tweet re-enters the candidate pool as brand new content. one great tweet performs 3 separate times if you time the reposts. 32. wrote one long-form X article per week. articles pull 300K-1M+ views in 2026 because they trigger dwell time (weighted +10 in the scoring) and bookmarks (weighted 10x). highest-reach format on the platform right now. 33. never posted off-topic. not once. one viral meme tweet feels good but mathematically drifts your content vector in the algorithm's embedding space. every on-niche post after it reaches fewer people because the system is less certain what your account is about. 34. stayed consistent even when growth felt invisible. the algorithm scores your posts based on recent engagement history before anyone sees them. going silent collapses that baseline. recovery takes 5-10 consecutive strong posts before reach returns. consistency isn't a motivational poster. it's a mechanical input to the scoring system. 35. added a $497 comprehensive course behind the $39 front-end product. 2-4% of $39 buyers upgrade within 30 days without being pitched. 36. added a $5K 1-on-1 partnership behind the $497 course. one person applies every 2-3 months. this single tier changes the entire math of the business overnight. 37. batched all content creation on sundays. one 90-minute session writing the full week of tweets. the system runs the remaining 6 days and 22.5 hours without me. 38. tracked what actually drove replies and bookmarks and cut everything else. likes are weighted 1x in the algorithm. replies are 13.5x. bookmarks are 10x. reposts are 20x. optimizing for likes is optimizing for the cheapest signal. the scoreboard is public knowledge and most creators have never looked at it. the tools: TweetHunter: $49/month (scheduling + silent auto-DM) Claude: $20/month (tweet generation with reference system) Gumroad: free until first sale, then 10% per transaction Telegram: free Canva: free Tally: free (application form for $5K partnership tier) total monthly cost: $69. total daily time: 14 minutes. the timeline: week 1-2: setup, first tweets, $0 month 1: 800 followers, finding the rhythm, $340 month 2: 2,100 followers, CTA tweets clicking, $1,800 month 3: 4,400 followers, telegram compounding, $3,200 month 6: 11,000 followers, backend kicking in, $8,247/month consistent the first $340 took 6 weeks. the jump from $340 to $8,247 took 4 months. the system compounds because the telegram community grows every day and never shrinks. more members means more proof. more proof means higher conversion. higher conversion on the same traffic means the revenue climbs without the effort climbing with it. i put all 38 steps into a full system. way more detail than fits in a tweet. module-by-module walkthroughs, the exact Claude prompts, the DM scripts word for word, the telegram setup, the pricing framework, the algorithm breakdown, and every template i use. comment "SYSTEM" and i'll send you the link. must be following + RT.
English
119
58
412
49.6K