Jeffrey Maganis

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Jeffrey Maganis

Jeffrey Maganis

@JMaganis

All Things Marketing, Fundraising, Investing, & Sales | $250mm funded across 600+ projects | Co-founder @Crowdcreate_us

California Katılım Ağustos 2014
888 Takip Edilen979 Takipçiler
Brian Blum
Brian Blum@brian_blum1·
The relationship between UGC creator and brand has completely shifted It no longer makes sense to pay $500 per asset when 99% of those never produce meaningful revenue Here's the new model: 1. $750 - $1500 for 30 TikTok Shop videos 2. 20% organic commission, 5% ads 3. Whitelisting / partnership ads access 4. 1-3% of sales of that ad on Meta This benefits both sides Brands de-risk while getting more content Creators get huge upside potential. One video can change their life. Yes the rate per video up front is lower.. But now one video can print for a brand for 6 months And make that creator $100k+, passively. We'll continue to see brands, agencies etc try to build internal creator rosters but ultimately the creator holds the power, they are their own business. Top ones will stay mercenaries. Expect this to be the norm for next 18-24 months
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Jeffrey Maganis
Jeffrey Maganis@JMaganis·
Looking to start a peptide company and replicate Medvi's success? I just found their same supplier, and know how to rank #1 for "peptides for sale" on Google/ChatGPT. Comment "peptide marketing" below for the contact info and list.
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Nicholas Fabiano, MD
Nicholas Fabiano, MD@NTFabiano·
Sleeping <6h a night for 2 weeks reduces cognitive performance equal to 2 nights of total sleep deprivation.
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BORED
BORED@BoredElonMusk·
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Alex Groberman
Alex Groberman@alexgroberman·
Everyone somehow missed one of the most important findings of 2025 regarding getting your website cited in ChatGPT. I was hesitant to highlight this because SEO Stuff (seo-stuff.com) has quietly been using it for months to drive traffic + sales. But in honor of Black Friday (Discount Code: BLACKFRIDAY2025), I've decided to break it down so you can apply the same system without hiring anyone. Before I dive in, though... If you want 3 cheat codes for getting mentioned in ChatGPT within approximately 30 days, just RT this + follow me + reply with "ChatGPT Cheat Codes" and I'll DM them to you. You must do all 3 for the DM. Alright, Rankscale did a deep dive data on how AI platforms decide which sites to cite. (I'll include a link to the raw data below). They analyzed where ChatGPT, Perplexity, Gemini, and Google AI Overviews are pulling their answers from and what’s working best for B2B brands. Rankscale looked at thousands of commercial queries like: “Top CRM software” “Top SEO software vendors” “Best online learning platforms” And here’s where AI engines are pulling data from most often now: Industry-specific blogs and publications (TechTarget, FiercePharma, QSR Magazine) Official company blogs and vendor sites Professional directories (like Clutch and G2) Analyst reports (Gartner, Statista, etc.) LinkedIn posts and expert commentary Mainstream business news Among the most interesting takeaways? Vendor blogs, which are yes, the company’s own blogs, are now often being cited as sources in AI search results. Perplexity, Gemini, and Google AI Overviews each specifically cited “product blogs” a lot of the time in B2B-related answers. ChatGPT cited them less, but still cited them, and the trend is clear: AI engines are rewarding brands that publish comparison content on their own blogs. Some examples: Thinkific cited in “best online learning platforms.” LearnWorlds in “top course creation tools.” Monday and Pipedrive cited in “best project management software.” HP cited in “top laptop brands.” All of these examples came from their own blog content, optimized listicles comparing products in their category. These vendor blogs are filling a content gap. Most industries lack neutral, third-party content comparing vendors in detail. So when a brand publishes something like: “The 7 Best CRM Tools for 2025 (We Ranked Them by Integration, Support, and Pricing)” AI engines pull it. They don’t always know (or care) that it’s coming from a competitor. As long as it’s: Thorough and well structured, Objectively written (not purely self-promotional), and Built with clear headers, schema, and facts, …it gets indexed and cited in AI answers. Rankscale also found that brands with more citation references, meaning more times their content is mentioned inside AI answers, had significantly higher visibility scores (a measure of both detection and ranking order). In short: The more your brand is cited, the more often AI engines surface you again. Visibility compounds over and over. That’s why SEO Stuff’s (seo-stuff.com) entire system is built to create this exact flywheel: structured, authoritative content + backlinks that fuels repeated AI citations. How SEO Stuff fits into this system: Gold Plan (the most popular plan) 10 long-form, snippet-optimized articles + 3 DR50+ backlinks that push your brand into the same “first-result” positions AI agents choose most often. Each article is designed to rank in both Google and AI engines for your category’s most commercial “best” and “top” queries. seo-stuff.com/gold-plan-pack… Premium Content Bundle 60 high-authority pages built as objective-style “best of,” “top,” and “comparison” content, the same formats Rankscale found being cited by Perplexity, Gemini, and Google AI Overviews. Each piece is structured with clean HTML, FAQ schema, and AI-friendly formatting that makes it readable in ChatGPT’s agent mode. seo-stuff.com/premium-conten… Together, these two plans position your brand to: Be cited as an authority in your niche, even by competitors’ AI answers. Accumulate AI visibility signals that compound over time. Grow within both traditional search and AI-assisted search layers. The AI visibility race is about who trains the AI, and right now, vendor blogs and structured comparison content are doing exactly that. If your brand isn’t creating content that LLMs can extract, summarize, and cite, you genuinely do not matter in the next wave of search. SEO Stuff (seo-stuff.com) was built to fix that. That’s why 80 percent plus of customers who buy the Gold Plan return for multiple orders. It’s working. And if you want 3 cheat codes for getting mentioned in ChatGPT within approximately 30 days, just RT this + follow me + reply with "ChatGPT Cheat Codes" and I'll DM them to you. You must do all 3 for the DM.
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Jeffrey Maganis
Jeffrey Maganis@JMaganis·
Peptides are the new “CBD” health craze that entrepreneurs should take advantage of before it becomes as saturated as a daily vitamin. Peptides = high margin, high demand & recurring revenue subscriptions; the perfect formula (pun intended) for a highly valued business.
Nikola@nikolacupic

x.com/i/article/2038…

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Aakash Gupta
Aakash Gupta@aakashgupta·
The NYT just profiled Medvi as the AI success story of the decade. $1.8B in projected revenue, 2 employees, Sam Altman's prediction made real. Here's what the NYT didn't lead with. Medvi received FDA Warning Letter #721455 in February 2026 for misbranding violations. Their clinician network OpenLoop suffered a data breach in January 2026 that exposed 1.6 million patient records. Futurism reported they used AI-generated deepfake before-and-after photos in their marketing. A class action lawsuit was filed in Delaware in November 2025. And now they're running 800+ fake doctor accounts on Facebook to sell compounded GLP-1s. The company holds no proprietary technology, no licensed physician network, no pharmacy infrastructure. It outsources every regulated function to CareValidate and OpenLoop while keeping the customer relationship, checkout flow, and ad spend. The entire business is a marketing layer on top of rented infrastructure, and the marketing itself is built on fabricated medical credentials. Hims did $2.4B in revenue last year with 2,442 employees and a 5.5% net margin. Medvi claims 16.2% net margin with 2 people. The margin difference tells you where the compliance spending went. The AI built the website. The AI runs customer service. The AI generated the deepfake before-and-afters. And now 800+ fake doctor accounts are running paid ads on Facebook. The entire company is an AI-powered fraud machine that happens to also sell real drugs.
Sheel Mohnot@pitdesi

They made facebook accounts for 800+ fake doctors (I had Claude verify, none of them are actually doctors, especially not "Dr. Tuckr Carlzyn MD") to advertise on Facebook. This is extremely illegal, just takes FTC to notice it and it'll be hard for them to advertise on FB

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Jeffrey Maganis
Jeffrey Maganis@JMaganis·
@Scobleizer @tbpn Where are you publishing the content too? I’m guessing: 1. Emails 2. Website blogs 3. Social media - FB, IG, YT, X, TikTok So it’s essentially just interviewing business owners?
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Robert Scoble
Robert Scoble@Scobleizer·
Media shifts big time today. Why is @tbpn getting bought by OpenAI important? (Technology Business Programming Network) Because media is about to shift HARD to being done by AI. Look at the news site I turned on yesterday. 100% built by AI. alignednews.com/ai It already wrote about the news and says "it's a big day." But there are bigger shifts coming. AI, like the site/system I built, will: 1. Watch the news on services like X, and elsewhere. 2. Write about it. 3. Come up with its own reporting (something like @boardyai will be built to call sources and do its own reporting, like calling the local fire chief after a big fire to get more details). 4. Build a new kind of 24-hour-a-day personalized news show. My site already gives the basics, the AI I used built an MCP server, an OpenClaw feed, a way to create a podcast on @NotebookLM, an email newsletter, and an RSS feed. All built by two people (me and @blevlabs) with about $10,000 investment. And it costs a few hundred dollars a day to run. Soon we'll have a show up on @HeyGen too. Grok can already simulate any conversation between me and anyone else. Here it has me interview @jordihays one of the cofounders of the network: grok.com/share/bGVnYWN5… about the future of media. Took two minutes to do. Now take that over to @NotebookLM and it'll create a video, a slide deck, a mind map, an audio podcast. Here I did it for you: notebooklm.google.com/notebook/d5051… It is creating a video as I talk. And the podcast is highly interesting on this topic. All built in minutes. The news isn't even an hour old yet. It created a slide deck, that I took the graphic for this post from. Now what does TBPN have? A great library of the biggest AI thinkers. It's been interviewing the top CEOs every day for more than a year. That dataset gives TBPN and OpenAI a huge dataset to train new models to do new kinds of journalism and create a 24-hour-a-day TV channel that's almost wholly AI generated. Or at very minimum AI produced. My AI already tells me everyday who I should interview. Theirs will too. And take care of all the grunge work to setup the show, call the guests, prepare them for being on air, and schedule everything out. Even there AI can help viewers who don't have time to watch all the interviews. It can automatically clip out pieces of the interview, and present them to people in a highly personalized way. Someone interested in medical companies would only see news for them and that would be different than news presented to someone who cares about automotive news, for instance. This slicing and dicing is huge. At GTC I talked to @furrier, founder of another news network. He has a similar dataset, since his company does interviews at many of the big technology shows. He told me it's his dataset that has value. He's built a similar AI system that can cover news in a much more intelligent way than if you don't have that kind of database of thousands of tech interviews. It also gives OpenAI a way to make sure its point of view is distributed to everyone. And that will get more important soon as Google, Meta, Apple and others bring "AI glasses" that let you see the news in a whole new way. Google's glasses arrive in October. I keep hearing OpenAI is working on some too, but even if it decides not to, it will be an important AI on the others and it will bring those users this personalized news system, and other kinds of content too. 18 months from now this whole system will be built. Every journalism firm will need to do the same to survive. Journalism outlets need AI partners. And fast. Or they will get completely locked out. That's why media just had a major shift today.
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Erik Torenberg
Erik Torenberg@eriktorenberg·
The future of marketing is buying creators/media properties
John Coogan@johncoogan

TBPN has been acquired by OpenAI! The show is staying the same and we’ll continue to go live at 11am pacific every weekday. This is a full circle moment for me as I’ve worked with @sama for well over a decade. He funded my first company in 2013. Then helped us fix a serious logjam during a critical funding round a few years later. When I took my second company through YC, he was president at the time, and then when I joined Founders Fund, the first deal I saw in motion was the post-ChatGPT round in late 2022. And as we started growing TBPN last year, he was the very first lab lead to join the show. Thank you to everyone that has been a part of TBPN until now. The last year has been the most fun and rewarding part of my career and we’re excited to have more resources than ever going forward.

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Jeffrey Maganis
Jeffrey Maganis@JMaganis·
@brian_blum1 What do you think about the scammy fake doctor profiles and affiliate marketing they did? How much % is attributed to this?
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Brian Blum
Brian Blum@brian_blum1·
Storytime for people who don't think this is real.. Last year I launched a GLP1 biz as well We did ~$20m in rev in 6 months It's surprisingly easy to setup but ruthlessly competitive because there is virtually no differentiation. Every brand is selling the same stuff. As a result it is a pure marketing arms race, and Medvi was the best. They are known for a few things - Shadowy billing practices - Highest converting lead funnel - Running thousands of AI UGC / Theme Pages When you search Medvi in the Meta Ads library, you'd almost never see something running from their page. They heavily rely on partnership ads, whitelisting and listicles / advertorials. On top of leaning heavily into publisher affiliate (Forbes "Best GLP1 Providers") and TikTok's beta for telehealth. Our funnel was primarily Meta Ads using TikTok Shop style UGC. Worked well til it didn't The customer is very price conscious and as a result, switches between several brands' intro offers. So tons of brands spent into CAC's expecting LTV's that didn't materialize. Huge revenue numbers but not a ton of super profitable companies. Anyways, i've never seen the speed with which we got to $4m/mo in rev. The market was that good. And behind the scenes everyone knew Medvi, Remedy Meds, Amble were doing $300M+ Everything in the article is true and this guy is a dog
nic carter@nic_carter

first vibecoded billion-dollar company?

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Sheel Mohnot
Sheel Mohnot@pitdesi·
They made facebook accounts for 800+ fake doctors (I had Claude verify, none of them are actually doctors, especially not "Dr. Tuckr Carlzyn MD") to advertise on Facebook. This is extremely illegal, just takes FTC to notice it and it'll be hard for them to advertise on FB
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John Coogan
John Coogan@johncoogan·
TBPN has been acquired by OpenAI! The show is staying the same and we’ll continue to go live at 11am pacific every weekday. This is a full circle moment for me as I’ve worked with @sama for well over a decade. He funded my first company in 2013. Then helped us fix a serious logjam during a critical funding round a few years later. When I took my second company through YC, he was president at the time, and then when I joined Founders Fund, the first deal I saw in motion was the post-ChatGPT round in late 2022. And as we started growing TBPN last year, he was the very first lab lead to join the show. Thank you to everyone that has been a part of TBPN until now. The last year has been the most fun and rewarding part of my career and we’re excited to have more resources than ever going forward.
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nic carter
nic carter@nic_carter·
first vibecoded billion-dollar company?
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James Shields
James Shields@scaling_shields·
met a woman in marbella making $68,000/month replying to google reviews not writing them not getting them replying to them "thank you for your kind words we appreciate your feedback" 340 times a month 340 property management clients paying her $200/month each to type slightly different versions of "thanks for the review" no ads, website, content or personal brand she sends one cold email: "you have 50 google reviews and havent replied to a single one. every unanswered review costs you roughly 9% of potential tenants. want me to handle all your review responses for $200/month?" thats the pitch thats the whole business one stat that scares property managers turned into $68K/month she hired 2 VAs in the philippines at $600/month each to do the actual replies total overhead: $1,200 net profit: $66,800/month from replying to google reviews heres why nobody competes with her: the task is so boring that nobody thinks its a business no one wakes up and says "i want to build a company that replies to google reviews" but every property manager knows they should reply and never does because its low priority and tedious $200/month is nothing to a company collecting $50-200K in rent but unanswered reviews silently eating their occupancy rate is a real problem she didnt sell a service but the removal of a task they were too busy to do themselves at a price so low that saying no felt dumb and the churn is almost zero because who cancels a $200/month service that runs itself the formula: - find a boring recurring task every business in one niche ignores - prove it costs them money to ignore it - charge so little the decision is automatic - deliver with cheap labour so margins stay above 90% - stack hundreds of clients because nobody cancels same formula that built the $2.4M/year dentist compliance business same formula running the $3.1M portable toilet empire the most profitable businesses are always the ones nobody wants to brag about stop building things that sound cool on twitter start finding the boring task nobody will do for the wealthy customer who will gladly pay to never think about it again
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Finn Mallery
Finn Mallery@fin465·
Now that we’re done at YCombinator, we’re revealing how we went from 0 → $10k MRR in our first 30 days, using only ONE channel (step by step). We spent less than $100 and didn’t have any paid ads, SEO, waitlist, or content marketing. Instead, we sent 50-75 highly targeted cold emails a day. Cold email is the most underrated channel because it's hard to get right, but if you figure it out you can sell ANY B2B product. Here's what we did from start to finish: STEP 1: Build an ultra‑specific customer profile at both company and person level. If you do this right, you can mess everything else up and still succeed. The goal here is to create such a perfect customer, that if they heard about your solution they would have no choice but to say "tell me more". Step 2: Build your list After you create this customer profile, find the companies that meet this criteria. Find 30–50 target companies on LinkedIn, then grab decision‑maker emails via Apollo/Wiza. STEP 3: Writing a killer email I used to run an outbound email agency and we'd send 50k+ emails/month to book b2b sales calls via cold email. Here are the basic principles of cold email writing that I always use: -Keep it 5-8 sentences. 70%+ of emails are read on mobile, so make sure they get most of it from that screen view. - Never write more than 2 sentences without breaking up the lines. People skim, and that’s the best way to keep their attention - DO NOT talk about your product’s features. - Instead, talk about the person, their company, and their pain points. STEP 4: The call I took 493 sales calls in Origami’s first 3 months. Here's what I learned: The 2 biggest goals for this call are - Figuring out the customer’s problems - Getting the customer excited about your solution Unless you already have PMF, it doesn't matter if you have a full built product. You still need to spend 90%+ of your time figuring out what the customer actually needs. In the early stages, you can even offer a full refund if they aren’t satisfied to give them maximum confidence and get your first few deals over the line. STEP 5: Closing/After Congrats! You cracked cold email. This was the exact approach we used at Origami to get our first $10k MRR, and the highest converting outbound approach I’ve seen when I ran my agency. I posted the stats in my prior tweets, but in our first 40 days we sent 3119 emails (~77 per day) and got a 5.3% response rate, resulting in demos with 64 founders at companies within our ICP. This resulted in ~$22k new MRR by the time our sales for all of these calls had closed. The best part is that once you nail this process, you can automate it. We've got our Origami AI Agents (@origamichat) finding new customers 24/7, which frees us up to explore new channels and focus on scaling. CONCLUSION This is a very short version of my guide. The full guide I posted on X last year (@fin465) hit 800k impressions and 10k+ bookmarks. If you want me to DM it you, comment GUIDE.
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