Partial day — headline is the last complete day (2026-10-13).
twitter
tracked since 2026-10-04T00:55:21.256049+00:00
conclusion
Measured mentions per day
day (UTC)
mentions
2026-09-27
0
2026-09-28
0
2026-09-29
0
2026-09-30
0
2026-10-01
15
2026-10-02
14
2026-10-03
20
2026-10-04
26
2026-10-05
59
2026-10-06
43
2026-10-07
16
2026-10-08
9
2026-10-09
15
2026-10-10
16
2026-10-11
14
2026-10-12
15
2026-10-13
9
2026-10-14
0
derived from
chatgpt
word-boundary match over title + text, query='timeline' · window
2026-09-27 → 2026-10-15
· 271 matching posts
evidenceShowing 20 newest of 271
•
twitterAIGuide_13hnegative
marketing engineers might be the highest-leverage marketing hire in 2026.
the best ones can run more experiments than entire teams.
i broke the playbook down into 12 rules:
1. build the company brain before you build agents. customer fit, offers, voice, founder opinions + failed campaigns should live in files every …marketing engineers might be the highest-leverage marketing hire in 2026.
the best ones can run more experiments than entire teams.
i broke the playbook down into 12 rules:
1. build the company brain before you build agents. customer fit, offers, voice, founder opinions + failed campaigns should live in files every agent can read.
2. start agents read-only. let them learn from HubSpot, Stripe, Slack, Gong + analytics before they earn permission to change anything.
3. give every campaign an ID and carry it through ads, emails, UTMs, CRM deals + revenue so you know which marketing brought customers who actually paid and stayed.
4. make customer language your first agent. feed it 20-50 sales calls and pull the exact phrases buyers use to describe their problems, then rerun it every week.
5. build a buying-trigger agent around moments that create demand: funding, hiring, new locations, product launches, expansion + other changes that suddenly make your product relevant.
6. only write outbound when you can clearly explain why NOW: “this event creates this problem, and our product solves it in this specific way.” if that sentence is weak, skip the account.
7. build search around questions people ask right before they buy. combine Search Console, sales calls + what ChatGPT, Claude and Perplexity recommend when buyers ask about your category.
8. make your creative agent test different REASONS to buy, not 50 tiny variations of one ad. pain point, customer story, worked example, demo, comparison, founder take, etc.
9. name every experiment by what it’s testing. “dinner-angle_ugc_v2” creates a reusable lesson when it wins. “video_final_7” tells you nothing.
10. build a closed-lost agent that rereads every lost deal, records the real reason + reopen condition, then brings the account back when that condition changes.
11. make every performance report end with a decision: KEEP, KILL, CHANGE, or TEST. wire it through to revenue, retention + churn so cheap customers w
Your content workflow just got a lot faster.
Drop a script in ChatGPT and HeyGen MCP turns it into A-roll with the highest quality avatars and voices you can get.
The @Adobe Premiere plugin cuts the pauses, cleans the audio, adds music and captions, and matches color for you. https://t.co/A2yh82HXGDYour content workflow just got a lot faster.
Drop a script in ChatGPT and HeyGen MCP turns it into A-roll with the highest quality avatars and voices you can get.
The @Adobe Premiere plugin cuts the pauses, cleans the audio, adds music and captions, and matches color for you. https://t.co/A2yh82HXGD
in the very near future becoming a forward deployed engineer will be as easy as signing up for the $500 ChatGPT planin the very near future becoming a forward deployed engineer will be as easy as signing up for the $500 ChatGPT plan
WHAT THE F*CK IS HAPPENING
i still don't understand why more people aren't paying attention to this.
this "Jenna Ortega" profile has:
→ 1M followers
→ 8.6M likes
→ roughly 104M views across 23 videos
one 15-second clip pulled 67.5M views. a comment saying “this is AI” got 61.8K likes.
and people keep asking: h…WHAT THE F*CK IS HAPPENING
i still don't understand why more people aren't paying attention to this.
this "Jenna Ortega" profile has:
→ 1M followers
→ 8.6M likes
→ roughly 104M views across 23 videos
one 15-second clip pulled 67.5M views. a comment saying “this is AI” got 61.8K likes.
and people keep asking: how do AI character accounts make money?
this one offers paid subscriptions to “talk with me.” some viewers think they're watching a real celebrity, while the account monetizes the attention.
one recognizable face. millions of views.
here's how to test this format with your own original character:
→ use ChatGPT to create the personality and consistent character images
→ use Claude to write short scenes around one recurring habit
→ animate with Higgsfield using supported image or movement references
→ prepare 5–10 clips and label realistic AI content
same face. same personality. another situation people want to send to a friend.
give people a character they remember and a reason to check tomorrow's post.
follow for more AI character breakdowns — the numbers, the formats and the business behind them.
Trending apps on dotstore in the last 24 hours.
1. fynk
2. CheapFoodMap
3. ChatGPT https://t.co/2ipZWskLxsTrending apps on dotstore in the last 24 hours.
1. fynk
2. CheapFoodMap
3. ChatGPT https://t.co/2ipZWskLxs
I'm not cancelling ChatGPT just to have Claude code me a fucking snowman. https://t.co/3INXTpg2gII'm not cancelling ChatGPT just to have Claude code me a fucking snowman. https://t.co/3INXTpg2gI
How to check if your startup is getting cited by chatgpt and claude:
> Go to https://t.co/8b7IyKw1Uj
> Drop your website url
> It audits your site across 100+ geo data points
> It tests the prompts your customers ask llms
> It shows where you’re cited, where competitors show up, and what to fix to get cited more oftenHow to check if your startup is getting cited by chatgpt and claude:
> Go to https://t.co/8b7IyKw1Uj
> Drop your website url
> It audits your site across 100+ geo data points
> It tests the prompts your customers ask llms
> It shows where you’re cited, where competitors show up, and what to fix to get cited more often
HubSpot's co-founder on why SEO beats paying for ads:
He calls ads renting someone else's stage.
The day you stop paying, the traffic stops (and a $5 click today can cost $15 tomorrow).
SEO is land you own, and content he wrote for HubSpot 19 years ago still brings in leads.
For a local business, the land worth own…HubSpot's co-founder on why SEO beats paying for ads:
He calls ads renting someone else's stage.
The day you stop paying, the traffic stops (and a $5 click today can cost $15 tomorrow).
SEO is land you own, and content he wrote for HubSpot 19 years ago still brings in leads.
For a local business, the land worth owning is the top of Google Maps.
~61% of clicks on a local search go to the first 3 businesses on the map.
A divorce lawyer I work with 12x'd his calls in 90 days and dropped his paid leads.
I decided to put everything I know about ranking on Google in one place:
• Where a local search sends people
• Finding the searches that bring clients
• Setting up the business profile
• A website Google can read
• Writing content Google trusts
• The reviews and links that move rankings
• Showing up in ChatGPT and AI answers
• How long it takes and how to track it
Full breakdown is in the article below:
The only 2 AI subscriptions that make sense now are:
- X subscription (Premium) - $30/m
- Claude Code - 5x - $100/m
That's it.
I am using ChatGPT Plus because of its Interactive UI and because it's best for planning/research.
If Claude somehow adds more intuitiveness to their UI & makes it more interactive, it can …The only 2 AI subscriptions that make sense now are:
- X subscription (Premium) - $30/m
- Claude Code - 5x - $100/m
That's it.
I am using ChatGPT Plus because of its Interactive UI and because it's best for planning/research.
If Claude somehow adds more intuitiveness to their UI & makes it more interactive, it can be a beast.
He dropped out of college after realizing AI could build in a day what used to take him a week.
6 months later, his niche app makes $20K/month.
Ethan Cajigas is 19. He was a national wrestling champion who hated cutting weight before competitions.
So he built CutCoach - a science-based weight-cut app for combat spor…He dropped out of college after realizing AI could build in a day what used to take him a week.
6 months later, his niche app makes $20K/month.
Ethan Cajigas is 19. He was a national wrestling champion who hated cutting weight before competitions.
So he built CutCoach - a science-based weight-cut app for combat sport athletes.
The numbers:
> $0 to $60K+ total revenue in 6 months
> 39,000+ downloads
> $20K in a single month
> Built solo with Cursor + ChatGPT
His playbook was almost boring:
1. Solve a problem inside your own hobby.
2. Ask ChatGPT to brainstorm app ideas in that niche.
3. Design in Figma. Steal layout patterns from bigger apps in the space (Duolingo-style shoulders-of-giants).
4. Build front-end first with Cursor, then back-end. Supabase for DB, RevenueCat + Superwall for paywalls, OpenAI for AI features.
5. Ship fast. Iterate on what users actually want.
The marketing unlock: organic posts only pulled 200–500 views… but converted at 5–10%. High-intent beats high-volume every single time.
Then he DM’d small TikTok/Reels creators (1K–10K views) for partnerships. Most said yes. Later he took the winning influencer videos and turned them into paid ads - revenue exploded.
The takeaway: no niche is too small. Wrestlers will pay $30 to make weight because missing weight costs them way more.
Find a painful problem in a small passionate community and build for THEM - not everyone.
SOMEONE MADE $20K IN A COUPLE OF WEEKS FROM A PERSON WHO DOESN'T EXIST
Meet Erika Mercer. Black hair, pink claw marks, unsettling energy - and an AI character behind every clip
Her creator says the account brought in $20K from ads in just a couple of weeks. In the first five days, they posted 13 videos. One clip pass…SOMEONE MADE $20K IN A COUPLE OF WEEKS FROM A PERSON WHO DOESN'T EXIST
Meet Erika Mercer. Black hair, pink claw marks, unsettling energy - and an AI character behind every clip
Her creator says the account brought in $20K from ads in just a couple of weeks. In the first five days, they posted 13 videos. One clip passed 1M views
Here's the setup:
> ChatGPT keeps Erika's face consistent
> Claude writes her personality and scenes
> Higgsfield turns the images into videos
Same recognizable character. A stranger situation every time. People stop because they know Erika, then stay to see what she does next
The wildest detail? Higgsfield also became one of the brands paying to appear in her videos
How many AI characters are you already following without realizing it?
I'm not cancelling ChatGPT just to have Claude code me a fucking snowman. https://t.co/OXdvp6hDaVI'm not cancelling ChatGPT just to have Claude code me a fucking snowman. https://t.co/OXdvp6hDaV
I have 32 tabs open in Chrome right now.
Research, work, that one tweet I'm "getting back to," 3 different ChatGPT sessions, and maybe 8 I don't remember opening.
So I built a Chrome extension that organizes all of them for me.
It's called SnapTab, and it runs on SubQ Snap, a new decision model from Subquadratic @su…I have 32 tabs open in Chrome right now.
Research, work, that one tweet I'm "getting back to," 3 different ChatGPT sessions, and maybe 8 I don't remember opening.
So I built a Chrome extension that organizes all of them for me.
It's called SnapTab, and it runs on SubQ Snap, a new decision model from Subquadratic @subquadratic that handles small, structured calls faster and cheaper than an LLM. I got early access, and this was the first thing I wanted to build with it.
Open the extension and it shows you every tab, every group you've made, and every duplicate quietly eating your memory.
Then you hit Analyze.
That one click sends your tabs to a local Python server running Snap. The model reads every title and URL and figures out what each tab actually is. Research. Dev. Entertainment. Work.
Hit Organize, and Chrome snaps them into clean groups instantly.
I didn't send any of this to an LLM. Snap has a 384k context window, 12x larger than other decision models, so it can hold your entire browser session in one shot and still cost pennies.
Video below.
Sign in with ChatGPT is available in Kilo NOW.
Use your ChatGPT credentials to sign in or create a new Kilo account, and use your ChatGPT plans to power AI coding across all Kilo surfaces!Sign in with ChatGPT is available in Kilo NOW.
Use your ChatGPT credentials to sign in or create a new Kilo account, and use your ChatGPT plans to power AI coding across all Kilo surfaces!
I used AI to build 115,000 followers and a 7-figure business.
50M+ views. 70,000+ inbound leads.
LinkedIn. Instagram. X. YouTube.
Just 1 raw idea in → 4 platform drafts and a production plan out.
→ No more 200-view posts that sound like every other founder
→ No more $5,000/month ghostwriters who still don't sound l…I used AI to build 115,000 followers and a 7-figure business.
50M+ views. 70,000+ inbound leads.
LinkedIn. Instagram. X. YouTube.
Just 1 raw idea in → 4 platform drafts and a production plan out.
→ No more 200-view posts that sound like every other founder
→ No more $5,000/month ghostwriters who still don't sound like you
→ No more guessing what to post on 4 different platforms
Getting Claude to write a post is easy.
Getting content worth publishing, week after week, takes more than "make it sound like me."
Here's how it works:
→ Research (your sources → useful facts, audience questions, and concrete examples)
→ Idea selection (up to 5 angles → the strongest point, with weaker ones rejected)
→ Native writing (1 angle → LinkedIn post, X post, Reel talking points, YouTube outline)
→ Editing (draft + writing samples → sharper openings and copy that sounds like you)
→ Production planning (drafts → what to publish first, what to record, what to defer)
→ Performance review (actual results → what to repeat, change, and test next)
The research shapes the writing. The results shape your next round of ideas.
Change the business, buyer, and voice files, and reuse the same process for another brand or client.
I packaged it into a free interactive walkthrough, 4-file starter, and complete 28-file workspace, with platform instructions and a worked example.
Runs in Claude or ChatGPT. No code.
Want the complete AI Marketing OS?
Like + reply "OS" + repost, and I'll DM it to you.
(must be following)
> be Andrej Karpathy
> co-found OpenAI
> leave to run AI at Tesla
> come back to OpenAI, leave again
> start an AI school
> coin vibe coding
> half the internet starts shipping apps without writing code
> join Anthropic in May
> post napkin math on who actually understands AI
> 6 billion people have barely touched an L…> be Andrej Karpathy
> co-found OpenAI
> leave to run AI at Tesla
> come back to OpenAI, leave again
> start an AI school
> coin vibe coding
> half the internet starts shipping apps without writing code
> join Anthropic in May
> post napkin math on who actually understands AI
> 6 billion people have barely touched an LLM
> 1-2 billion think it's a derpy chatbot
> 20 million watch agents finish months of work from one prompt
> ~5,000 people have access to frontier systems internally
> he's one of the 5,000
> says the gap keeps getting wider
most people are still arguing about whether ChatGPT is useful.
which tier are you in?
2,400 people bookmarked this, so I turned the entire process into a one-page SOP.
Here's my 6-step process (and prompts) for ranking in Google's AI Overviews:
1. Pick one search you actually want to win
Ideally a buying-intent query that already triggers an AI Overview.
2. Track how Google answers it
Collect the A…2,400 people bookmarked this, so I turned the entire process into a one-page SOP.
Here's my 6-step process (and prompts) for ranking in Google's AI Overviews:
1. Pick one search you actually want to win
Ideally a buying-intent query that already triggers an AI Overview.
2. Track how Google answers it
Collect the AI Overview over 7+ days.
You can do this in 2 ways:
FREE
Search it manually every day and save:
- The full answer
- Citations
- Date
PAID
Add the prompt to a tool like https://t.co/IbVSm7Cw9R and automatically track the answers + citations over time.
3. Find what keeps showing up
Paste all the answers into ChatGPT or Claude and add the following prompt:
--
Analyse these Google AI Overview answers and find the patterns that appear across them.
Identify:
- Recurring claims
- Repeated entities
- Common sources
- Common answer formats
- Repeated information/order
- Major differences
For each pattern, show how often it appears (e.g. 8/10 answers).
Then summarise the most consistent patterns Google seems to favour.
--
You’re basically building a picture of what Google consistently includes for that search.
4. Find what Google is rewarding
Now study the pages that get cited most frequently by using the following prompt:
--
Analyse these pages that Google cites in the AI Overview and tell me what they have in common.
[paste URLs]
Focus on:
- How quickly they answer the question
- Topics and entities they cover
- How they structure the information
- What evidence, data or examples they include
- Whether they use lists, tables, comparisons or steps
- What gaps or differences exist between them
Then summarise:
1. The main patterns across the cited pages
2. What Google seems to be rewarding
3. What a better page should include to compete
--
You want to understand both what they have in common AND what’s missing.
5. Build something better
Use everything you found to create or improve your page.
- Cover the important topics
- Include th
Is software dead?
I make ~$10k per month as an indie dev.
These are the moats I see, and I'm building right now.
1. Complexity.
You can't vibe code Revolut. Or build hardware that easily. It's too complex. It'd take a lot of work! Semi complex software, like PostBridge, you could make it yourself, but it'd take a fe…Is software dead?
I make ~$10k per month as an indie dev.
These are the moats I see, and I'm building right now.
1. Complexity.
You can't vibe code Revolut. Or build hardware that easily. It's too complex. It'd take a lot of work! Semi complex software, like PostBridge, you could make it yourself, but it'd take a few weeks getting approved for the APIs. Kinda long!
With complex software, it takes a lot of effort and you've gotta be a bit lucky (how many postbridge clones are there?) I tried this and also failed!
2. Personal Brand.
This is the best one imo. Best balance of effort and reward. If you have 50k on IG as a yoga girlie, you're doing multiple six figures.
But it's a hard moat to build, takes a lot of time and effort, trial and error. If you can do this, it's the best one imo.
3. Network.
Nomadtable, or even IG. You could vibecode IG in one prompt, but people use it because all their friends are there!
Networks are the hardest moat imo. Takes a massive amount of luck or an extreme amount of hard work and effort, or an existing social following. I wouldn't bet on this one.
4. Mass distribution (B2C).
Mobile apps mostly really simple. Most of the effort is marketing. If you have a bit of taste tho, you can go super far, there's so much mobile slop out there.
We're not selling to broke indie devs, we're selling to the mums with nothing else to do, the masses who don't even use the free tier of ChatGPT, that don't know what an Anthropic is.
I think this is the easiest moat right now, but the most volatile, as personal software will eat this up.
BUT: we're in a window, where it's incredible easy to build and market these apps. This is the mobile goldrush, it's the new drop shipping. Within reason, I think you can run any app up to ~10k/m with paid ads, and clear ~3k/m profit. Easiest moat, but also the most volatile.
The moats I'm going for?
• All in on personal branding.
• Making a social/network app (WIP).
Sam Altman: “For every 38,000 ChatGPT queries, that’s the same amount of water used to produce a single almond in California.”
“People eating 12 almonds at a time don’t feel like they’re doing something horrible from a water perspective.”
“Modern, very large data centers use roughly the same amount of water as an off…Sam Altman: “For every 38,000 ChatGPT queries, that’s the same amount of water used to produce a single almond in California.”
“People eating 12 almonds at a time don’t feel like they’re doing something horrible from a water perspective.”
“Modern, very large data centers use roughly the same amount of water as an office building.”
“That’s been a robust meme and difficult to disprove, but I don’t think it holds up to any scrutiny.”
Every AI tool you need to escape the permanent underclass:
• Claude Code inside Herdr (Opus 5.5)
• ChatGPT Voice to get work done while getting steps in/getting lean af
• Grok Bot to for all your knowledge work
• Hark for all your personal work
• Hermes Agent (powered by Qwen local model)
• DGX Spark or Mac Studio to …Every AI tool you need to escape the permanent underclass:
• Claude Code inside Herdr (Opus 5.5)
• ChatGPT Voice to get work done while getting steps in/getting lean af
• Grok Bot to for all your knowledge work
• Hark for all your personal work
• Hermes Agent (powered by Qwen local model)
• DGX Spark or Mac Studio to run Qwen
• Claude Fable for all planning and bouncing ideas
• Spotify playing lofi bangers
• 2nd monitor that has these agents up 24/7
Do work on 1st monitor. Constantly prompt 2nd monitor