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vibemarketer_

J.B.

Verifiedactive⚠ low-confidence
@vibemarketer_

ai systems for content, media, and growth

RosterAI Agents & Productivity ToolsStartup & SaaS Builders
38,081 followers · 883 following · Last polled 13h ago
Perf. Score
73.4
Rank #51
Value Score
52
#127 of 275 priced
Median views
12K
p25 12K · trailing 7d
Followers
38K
+0.2% 7d
ER (impr.)
2.46%
eng ÷ impressions
ER (foll.)
0.95%
eng ÷ followers
Est. CPM
$41.49
QT-rate basis
WoW views
-31.9%
▼ falling

Rates & value · est. from 12K median organic views

fairly priced
Quote tweetbasis
$500
$41.49 / 1K views
Post
—
no CPM
Thread
—
no CPM
Retweet
—
no CPM
Value Score 52 · rank #127 of 275 priced$1305.48 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (12K), not the mean (15K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (12K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
https://t.co/Sj4vtq02QNfrozen22d ago76K92710911251.9K4.02%
hector is criminally underfollowed on this appfrozen15d ago74K49914518201.80%
https://t.co/XcIejDFT0wfrozen
7d ago
63K
173
27
13
3
495
1.12%
https://t.co/DGot5JrgGEfrozen10d ago49K27842945781.84%
the GTM team is getting very small one operator + one good agent can now handle a ridiculous amount of the research + prep that used to require multiple people the whole setup + prompt is below https://t.co/1wFdwS9YBTfrozen7d ago47K495371511.1K3.61%
https://t.co/vWEG9HrIhzfrozen15d ago42K337491927622.77%
dropshippers about to go demon mode with this one https://t.co/pXeRz9YRcAfrozen10d ago41K20711201931.02%
https://t.co/jUgaSl5s0Zfrozen21d ago40K6057310349504.34%
the guy who has never written an SOP in his life after discovering the AI can just watch him work https://t.co/SteeHKlffKfrozen29d ago38K37916131061.51%
every tech company is going to have a creator program here’s how i think the good ones will actually work https://t.co/XYoOIt7kEB3d ago33K2341141621381.54%
breaking down the system I use to generate millions of impressions every month https://t.co/HMU3aaZ0PEfrozen8d ago29K113191422351.33%
the more I build, the more convinced I am that distribution is the only game left put the whole framework into one article https://t.co/wEeIWQ8KFRfrozen9d ago23K20940513942.79%
This changes everythingfrozen23d ago23K1752490341.06%
generic AI output is becoming its own recognizable aesthetic > same layouts > same copy > same images > same “AI clean” look Gamma was early to AI presentations, but they clearly realized being good at generation isn’t enough anymorefrozen17d ago21K58915040.41%
https://t.co/vpMSJQN1p9frozen14d ago18K10328511621.69%
10X your sales by automating UGC: > identifies best-performing creators in your niche > runs multiple video variations > tracks performance > organic winners become paid ads > processes contracts + payments bookmark this for later https://t.co/hazBqwzemufrozen23d ago16K200372001152.30%
VibeMarketer is going international boys 🇯🇵 apparently all it takes is one audio model and thanks to @FishAudio I speak Japanese now they just dropped Drama 3: > 83 languages > audio inpainting > natural language control > way more control over emotion + delivery > fully open-weight the localization arbitrage is getting ridiculousfrozen7d ago16K431370180.51%
breaking down @higgsfield's GTM and launch strategies https://t.co/Fz57NqxNqzfrozen12d ago15K8115331131.43%
https://t.co/fYBZsHDZAz2d ago15K8119601301.58%
be Max Derevy > decide chatbots are too much work > put the AI in your texts instead > teach it your entire life > let it figure out what needs doing on its own > have it book, buy, pay + remind you > send it off exploring while you sleep > wake up to your life already being handled personal AI is getting realfrozen23d ago15K17228160932.12%
marketing engineers are going to have an insane amount of career leverage over the next few years > you can join a growth team > build your own products > start an AI services business > make a small team operate like big one once you understand marketing + know how to build, you can basically write your own check put together a 90 day roadmap with all the resourcesfrozen15d ago14K19622813794.22%
the funniest outcome of the AI boom is that creative people might end up winning the hardest > tools are getting commoditized fast > everyone gets access to the same models > everyone can make decent output > everyone can ship more so the advantage moves to the person who knows what good looks like before they touch the tool now the fun part is.. where does it go from here?frozen15d ago14K861071651.22%
recommended reading this week: @alexandr_wang - Why I’m Building Muse: the vision behind Muse: @paulg - Making Startups Powerful: how owning the customer relationship, handling payments or letting others build on your product can change the entire business. @benthompson - Amazon Blocks Muse, Amazon’s Moat, Aggregator v Aggregator: what happens when your AI assistant wants to shop on Amazon and Amazon refuses. @HamelHusain - Advanced evals: How to find (and fix) hidden AI failures in your product: how to find where your AI is letting customers down, then turn those failures into tests. @SemiAnalysis_ - Intel Panther Lake Teardown: a look inside Intel’s latest chip to assess its manufacturing comeback. @thebeautyofsaas - How to simplify your life: delete, reduce, automate, outsource (in that order): for anyone whose attempts at self-improvement have become another full-time job. essential reading: Why I’m Building Muse + Making Startups Powerful + How to simplify your lifefrozen25d ago12K788211001.54%
again i repeat please pls stop overcomplicating AI content systems just do this save everything you write that actually sounds like you build a swipe file of posts + articles you wish you wrote have an agent scout X, YouTube, Reddit + news for ideas turn the best signals into angles draft from your own work + saved examples do the final edit publish feed performance back into the system repeat every week send this to your agent rn and have it build the whole thingfrozen6d ago12K200101004225.33%
recommended reading this week: @ryangrowthh - Distribution 101: building a story people want to follow, choosing the right channels, and packaging your content so it actually gets noticed @thebeautyofsaas - Regret Minimization: three questions for decisions you've been putting off @eyad_khrais - Grow Without Headcount: using your hiring plan to find workflows worth automating, redesigning the work, and measuring whether the same team can handle more volume @danhockenmaier - How to tell if a startup has a moat: why fast growth alone isn't enough, and how to spot advantages that get stronger as a business grows @a16z - This Week in Charts: Agents Denied: where AI fits into the shopping journey, why customers still want control over purchases, and how concentrated sales have become on TikTok Shop @thisissethsblog - The race to the bottom feels inevitable: how chasing traffic can erode the trust that made a business worth following, and why holding your standards matters @emollick - The Dot and the Swarm: an essay from earlier this month on why managing AI work may require less coordination than expected, while people still need to decide what's worth doing essential reading: Ryan's distribution guide + Eyad on growing without headcount + BOSS on regret minimizationfrozen4d ago12K14315922143.19%
getting millions of impressions every month is pretty simple > do interesting work > save everything worth referencing > keep agents scouting for ideas + trends > turn the best signals into angles > draft from your own context + opinions > package the idea visually > publish everywhere it fits > feed what worked back into the system > repeatfrozen8d ago12K801120941.63%
life after using HQ https://t.co/54w4tJIMGifrozen23d ago11K88188071.13%
founders are running out of body parts to turn into interfaces https://t.co/wubQyEuPpyfrozen14d ago11K20120080.38%
I’ve spent the last few months working directly with companies on getting HQ properly embedded into their business and it’s been kind of insane seeing how quickly the use cases compound once the right context is in place we’ve seen enough success doing this that we’re now making implementation a part of the offering I’ll be working hands-on with companies to map the highest leverage use cases, get the right context into HQ, and turn it into workflows + systems people actually use very bullish on this next phasefrozen22d ago9.0K1763190.40%
info sellers should make it easy for agents to digest their content these days i’m not just buying a course for myself. i’m buying it for my agent to consume, skillify and turn into workflows i can keep usingfrozen26d ago3.6K32110161.39%
/effort visualized https://t.co/SqODRqm582frozen27d ago3.3K19310101.00%
screen recordings are becoming one of the easiest ways to “program” an AI employee > do the work once > explain what you’re looking at + why you make each decision > turn that into instructions > test it on fresh inputs > schedule the next run way more natural than trying to write the perfect SOP from scratch I broke down the entire system step-by-step belowfrozen14d ago3.0K35730573.37%
founder media is entering its gossip erafrozen12d ago2.6K301020.23%
1) Whatfrozen16d ago2.5K103000.16%
jev + viktor animated by opus 5.5 https://t.co/McvyQQgmRCfrozen1mo ago2.4K10020141.09%
trust me on this... > claude for creative work > codex for computer + browser workfrozen21d ago2.3K1221070.97%
creator programs are becoming THE distribution channel for tech companies. the winners won’t pay 200 creators to post once. they’ll build 10-20 creators who actually use the product, grow together and keep posting every week. if you want to build creator-led distribution that compounds, bookmark this:3d ago2.2K22410252.32%
the playbook behind one of the fastest-growing AI companies https://t.co/x56Sy2UWmzfrozen11d ago2.1K17110221.96%
building an X growth engine for your company is pretty simple. you just need: > one shared context layer for company updates, projects, deals and launches > enough past writing to know how each person actually sounds > a steady feed of product updates, customer conversations, deals and launches > a live view of what the market is talking about > a way to match the right conversation or idea to the right person > a learning loop that remembers every editfrozen29d ago2.0K21250152.20%
here’s how i’d build a revenue feedback loop with Meta Muse... the trick is connecting the systems that each see a different part of the business: - Shopify knows what’s selling - Stripe knows what’s getting paid - QuickBooks knows where the money is going - Meta Ads knows what’s driving demand - Klaviyo know what’s being created and sent - Slack + Notion know what the team is planning then put Muse across all of it once the context is connected, you stop asking each system isolated questions and start giving Muse business problems: > why did revenue drop this week? > which products should we push harder? > what changed in acquisition that’s hurting sales? > what should we launch next? Muse can trace the answer across revenue -> product -> marketing -> creative -> distribution i’d start with one weekly routine: “explain what moved revenue this week, show me the evidence, then turn it into the next campaign brief”frozen20d ago1.9K13460111.76%
opus 5.5 + hermes for competitor analysis is insane. give it: - your product brief - 3–5 competitor urls - a batch of customer reviews then ask it one question: find 3 positioning angles worth testing, and show me the evidence behind each one. here’s a step-by-step guide on how to do it: 1. map competitor promises have hermes inspect homepages, pricing pages, and docs. save every claim with its source and access date. don’t assume that because a competitor doesn’t mention something, they don’t offer it. 2. map customer pain pull recent reviews from g2, capterra, clutch, trustpilot, support tickets, interviews, or sales calls. ask hermes to cluster recurring complaints and desired outcomes. for saas, look for things like: - painful onboarding - confusing pricing - missing integrations - reliability problems - repetitive manual work keep the source attached to every pattern. 3. compare the pain against what you can actually deliver feed hermes your: - features - pricing - limitations - customer proof then make it reject any angle your product can’t credibly support. 4. return 3 positioning angles for each one: - buyer + situation - customer problem + evidence - proposed promise - why your product can deliver it - competitor evidence - missing evidence/risks - smallest test to run next then ask it to write: a headline, an offer, and one customer-interview question that could prove the angle wrong. each angle should have evidence behind it and a way to test whether buyers care. once the workflow works, save it as a hermes skill with `/learn` so you can run it again with fresh competitor pages and customer reviews.frozen18d ago1.9K14131232.19%
recommended reading this week: @domschats - How to go from 0-100M views/month: building the right audience, hiring for the channels that work, and growing beyond founder-led content into a company-wide media operation @satyanadella - Models as Insider Risks in the Super Intelligence Era: why companies can delegate work to AI without handing over control, and why responsibility stays with the business using it @a16z - This Week in Charts: why improving software margins aren’t enough to impress investors, where the AI spending boom is concentrating, and what’s happening to call-center employment @emollick - The Overhang: a September essay on the gap between what AI can already do and what people use it for, and why expertise, taste and initiative matter in closing it @googlecloud - Introducing the Gemini agent: Google’s vision for AI coworkers with their own company accounts, ongoing responsibilities, and access to the tools teams already use $TSM - September revenue report: sales up 54.6% year over year, a look at chip demand ahead of the next round of semiconductor earnings essential reading: Dominic Bair’s distribution playbook + Satya Nadella on control and responsibilityfrozen11d ago1.9K20070242.73%
recommended reading this week: @gregisenberg - AI-native services: a $100B opportunity: how to pick a service businesses already pay for, win your first customers and automate delivery as you learn what good work looks like. @a16z - State of Markets II: the charts behind tech’s growing share of the economy and the shift from software spending to hardware and infrastructure. @clairevo - Jev for beginners: how to use it and what to build: practical examples of sorting emails, analysing your AI sessions and turning thousands of YouTube comments into audience insights. @molly_g - The grief, loneliness, and burnout sweeping through the tech industry right now: on navigating career change and deciding which parts of your work you shouldn’t hand over to AI. @thedankoe - How to launch into a completely new life: why bursts of motivation fade and how your daily habits and environment keep pulling you back into the same routine.frozen18d ago1.8K10040131.53%
marketers who can build their own tools are going to be very hard to compete with. Figma, Legora and Profound hiring “marketing engineers” is a pretty good signal of where this is going and what’s interesting is how much of that skill stack is now accessible if you’re willing to learn: > APIs to connect the tools you already use > SQL to answer your own questions > AI coding tools to build the first version > automation to keep it running > evals to check whether it actually worksfrozen17d ago1.7K16320232.52%
the CEO of Xbox wants you to build games with AI and you’re doomingfrozen9d ago1.6K200010.19%
my proxy for success: the faster I fall asleep when my head hits the pillow, the more momentum I tend to have https://t.co/c1aztnQy8efrozen24d ago1.6K1210020.96%
one of the most promising applications of AI is helping businesses overcome capacity constraints healthcare is a great example: > the US could face a sortage of 3 million healthcare workers by 2030. > confido Health is already helping medical practices gain the equivalent capacity of 3–5 additional full-time staff within 3 months, on average > that means more support for overwhelmed teams, less time spent on administrative work, and more attention going toward patients this is the kind of AI progress that can make a meaningful difference in people's livesfrozen9d ago1.5K902010.79%
this is probably the HQ feature I’ve been most excited for my bot is already running weekly Meta reads for me: > pulls the account data > compares it week over week > figures out what changed > calls out the campaigns driving it > posts the full read straight into Slack HQ brain + integrations + always-on bots starts getting very interesting very fastfrozen16d ago1.5K922041.14%
@bot is the best GTM tool on the internet rn X already has: > your customers complaining > prospects asking for recommendations > competitors launching > founders sharing what they’re building > entire markets arguing about what matters > trends forming before they show up anywhere else > breaking news + live reactions in real time now you can have an agent search + monitor all of it 24/7frozen16d ago1.3K502060.97%