正在加载视频...

视频加载失败

the former hinge COO hit 500K views in 3 weeks with zero production value video stats: • 500K total views • 55K likes across 13 videos • started october 23rd most of his videos start identical: "i'm the former COO of hinge" then talks about his new app rodeo...

181,365 次观看 • 8 个月前 •via X (Twitter)

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

How I went from earning $40/month to $600/day (ATH) and then maintaining $200-$300/day on average, all in one night, without spending anything on ads: Start creating content on Tiktok, Lemon8 and Threads: - I consistently created 2-3 TikTok videos per account every day and made as many accounts as possible. Each video on TikTok gets distributed to a certain number of viewers, giving me 0-1000 views. (I’ve never had a viral video, and my highest view count is only 18k.) - I use 5 iPhone SE 2020 phones, with each phone logging into a maximum of 3 TikTok accounts. I post 3 videos daily on each account without missing a day. Only one account is the main app account, while the other accounts are used as KOL accounts to review the app. - The reason i only use 3 account/phone, because In my experience, if I use a VPN and have many accounts on one device, my TikTok videos usually get a maximum of 100-1,000 views, may be Tiktok can flag device is spam, i don't know exactly. - The reason i need use VPN, since I’m based in Vietnam, if I create an account, 99% of the viewers will likely be local. But, my country has a very low conversion rate. I want to target audiences in the EU and US instead. - All the videos I create are self-recorded, showing the process of using the app, focusing only on its standout features. - Besides TikTok, I also posted on Lemon8 and Threads. On Lemon8, one of my posts attracted 80k views. The next posts typically get between 1,000 and 10,000 views sometime get >50k views. Change ASO tactics: - For ASO (App Store Optimization), after I changed the first image on my app store product page to a video preview, my impressions increased 3x, and then 6x. - Focus on the first three preview images, showcasing the best features of your app. These are the first things users see when searching on the app store. Lastly, luck played a role. This is everything I’ve done in the two months since launching my product. These are just personal experiences from working on this product. Before this, I had no marketing experience. #buildinginpublic

Alex Nguyen

11,193 次观看 • 1 年前

This guy took a brand‑new app to #1 overall in the App Store and 1,000,000 downloads in under 3 days. For the FIRST TIME, he breaks down exactly how he did it, and we’re posting the full, RAW conversation right here on X To be clear, this is his first and only podcast on this playbook... And a little more context: this wasn’t luck. Jibran has taken 4 different apps to #1 in the App Store, including one that did $1.5M in 3 days and outranked ChatGPT He did it with a handful of creators, zero paid ads, and a product philosophy that blew my mind Here’s the core of what he taught me: > Your product and your marketing are not two separate things; they're the same thing. > What goes viral on TikTok is product validation. > What you learn from a hit video should change your UI, your App Store screenshots, your icon He ran that loop obsessively.. For his 2025 Wrapped app, he spent hundreds of hours in Figma asking one question: > “How does this look on TikTok?” Then he tracked: 1. What users screenshotted 2. What they shared to Snapchat 3. What slide they dropped off on The result was a #1 overall app in the App Store. Above EVERYTHING. Now he’s building because he realized he was spending hours every day doom‑scrolling TikTok looking for hooks and formats that worked So he built an AI to do it for him: > You tell it your app. > It tells you what to post, what’s trending in your niche, and what’s wrong with your existing videos. We go deep on all of it in this conversation. If you run a consumer app, this is the most useful 49 minutes you’ll spend this week

Alex Olim

106,009 次观看 • 3 个月前

Everyone is sleeping on Meta's SAM 3 release. But it's actually a big deal. Here's why: Companies spend millions paying humans to label images and videos frame by frame. A single autonomous driving dataset? Months of work, hundreds of annotators, millions in cost. Without labeled data, you can't train custom models. Without custom models, you're stuck with generic solutions. This is why most companies never move past pilots. SAM 3 breaks this cycle. First let's look at the evolution: SAM 1 segmented objects when you clicked on them. Revolutionary, but one object at a time. SAM 2 added video tracking with memory. Game-changing, but you still manually prompted every object. SAM 3 changes everything with text prompts. Type "yellow school bus" and it finds ALL of them in your image or video. Not just one. Every instance across thousands of frames. Now here's where people get confused: "Can't I just use GPT-5 or Gemini for this?" No, and here's why that's a terrible approach. Large multimodal LLMs are great for reasoning, but they're slow and expensive for production visual tasks. You're paying API costs per image, waiting seconds for responses, getting inconsistent results. SAM 3 runs in 30 milliseconds on a single GPU for 100+ objects. That's 100x faster, and you own the infrastructure. More importantly, SAM 3 gives you precise pixel-level masks, not descriptions. Try asking an LLM to segment every defective part on a manufacturing line in real-time. It won't work. SAM 3 does this effortlessly. The real breakthrough is their data engine. Meta built an AI-human hybrid system that's 5x faster for complex annotations. They trained SAM 3 on 4 million unique visual concepts - 50x more than existing benchmarks like LVIS. SAM 3 is trained on 4 million unique visual concepts, it handles everything: - Text-based concept search - Interactive refinement with clicks - Video tracking across frames - Zero-shot detection of new concepts The model is open source. Weights, code, and benchmarks are on GitHub. If you're building computer vision applications, this is the foundation model to evaluate. The annotation time savings alone will pay for integration costs within weeks. Find the relevant links in the next tweet!

Akshay 🚀

46,421 次观看 • 8 个月前

He's 19. He's screaming in a beat up Honda with a MacBook on his lap. The scream is real. The $584.41 on the screen is real. So is the 19,149,340 views. He filmed it for TikTok this week. The video that made the money was uploaded December 9, 2023. Two years ago. If you pause at second 22, the Realtime panel in YouTube Studio shows 9 views in the last 48 hours. Nine. The channel is a corpse. The graph is a flat line crawling along the bottom. But the screenshot of 19 million is forever. So he keeps recording new hooks over the same old number. The workflow he sells is real too: Ask ChatGPT for an animal in a crazy situation. Ask it to break the idea into scenes. Animal Story template, click through Edit Script, Create Voiceover, Generate Broll, Add Music, Add Captions. Out comes a video of a deformed dog running through a train. It takes 20 minutes. It costs a subscription he doesn't mention. One of those videos, two years ago, caught the algorithm and did 19 million views. The other 200 did nothing. The math on Shorts is 3 cents per 1,000 views, so 19 million is $584. One lottery ticket. One viral lightning strike. The rest is silence. He's not lying about the $584. He's lying about the tense. The real business now isn't the shorts. It's the comment section under this video. "Comment AI for in depth guide." A thousand DMs. A $47 course. The kid in the old car made $584 once. He makes it every week now teaching people how to do what stopped working.

Saylor

83,827 次观看 • 2 个月前

Logan Ideker (Logan Withaf) is one of the fastest growing live streamers and content creators in gambling and entertainment. With 934K+ followers on TikTok, 555K+ on Instagram, and over 75 million likes, Logan has built a massive audience through raw, unfiltered desktop streams and viral moments on Kick at His clips regularly go viral across TikTok, Instagram Reels and YouTube Shorts, making him one of the most clippable streamers on the platform. Clipping powered by Clip Capital (Adam), the world's largest content clipping and distribution agency, operating a network of 10,000+ clippers across platforms including TikTok, Instagram Reels, YouTube Shorts, Twitter, Snapchat and more. With over 1 billion views generated, $1,000,000+ paid out to clippers worldwide and industry leading results for every client, Clip Capital is the #1 clipping agency for top streamers, creators, podcasters, entrepreneurs, founders, athletes and entertainers online looking to dominate short form content. Powering clipping campaigns across Kick, Twitch, YouTube and every major streaming and social platform, with content rewards, clipper payouts and full campaign management through Discord and Whop. Founded by the duo of Luka Splinter (Luka Filipovic), also known as Luka Filipovic from Croatia, and Jaidev Bhogal (@jaidevbhogal) from the United Kingdom. Both former clippers themselves, Luka and Jaidev built Clip Capital from the ground up turning their own experience in the clipping space into the most results driven agency in the industry. For business inquiries and partnerships: #loganwithaf #loganideker #clipcapital #jaidevbhogal #lukasplinter #bestclippingagency #clipping #clippingcampaign #contentrewards #whop

Eaxi

35,797 次观看 • 1 个月前

ICYMI: Brad Jacobs, the founder of eight billion-dollar companies, makes an unexpected acknowledgment worth nearly $1 billion in his new book.. “I love David. I raised $750 million out of his David Senra audience, & I didn’t even have to pay him a fee,” & he laughed. He like slapped his knee & laughed." TLDR: The value of high-trust, high-signal media can quietly move hundreds of millions in capital. Credibility compounds over time. Read: How to Make a Few More Billion Dollars, Brad Jacobs David Senra, of David Senra & David Senra . . . I’m reading the book, not knowing this is about to happen, and he goes: “And then I found a different source of capital, which was two of the top 20 shareholders in the new company, came because David Senra profiled me on his Founders podcast.” And I’m like, “What? Oh my gosh.” So he had told me that in private, but then John, our mutual friend John Coogan (John Coogan), said "that was the best podcast endorsement of all time." So when I went to record with him in his house in Greenwich, we traveled with like a five-camera setup. It was like, we have an army that comes with us. And these aren’t business guys; these are just camera guys and podcast guys. And he goes, “I love David. I raised $750 million out of his audience, and I didn’t even have to pay him a fee,” and he laughed. He like slapped his knee and laughed. And I don’t know anything about investment banking, so I call a friend of mine. He’s like, “Oh yeah, that saved him quite a bit of money.” And so that’s what he’s talking about. It’s like, two people didn’t know who he was. They heard my episode on his first book. One put in $400 million. One put in $350 million and then joined his board. And they told Brad how they learned about him, and so then he put it in the book."

Molly O’Shea

47,419 次观看 • 7 个月前

WARP SPEED: EPISODE 3 - starring Dada, CEO of Sorce Jobs Dada You only get to live once. So you have to use the best software you can. Dada, daniel ajayi and david built Sorce (YC F25) into Tinder for Jobs—20 million swipes, companies like SpaceX, Anduril, Stripe, DoorDash, and Lyft hiring through their platform. 2.7 million video views. Got into YC three days after the deadline. Dada didn't plan to start a company. He built Sorce to apply to jobs faster for himself. Then SpaceX hired someone through Sorce. Then Anduril did too. "Our biggest fear was: are you just going to destroy the industry? Then Anduril hired someone from Sorce, and SpaceX hired someone from Sorce. I was like, okay, they actually like us." Now Sorce is contributing to the economy: - 20 million swipes in total - Every major tech company has interviewed or hired someone from Sorce - On track to contribute to 1% of all applications in the world - Built the first version in 2-3 weeks, launched the app in 7 weeks - Team of 5 moving at Gabriella Warp Speed In this conversation: (0:00) "I didn't want to start a company. I just wanted to apply to jobs faster" (0:36) Why Y Combinator: Working with world-class people like the founder of Google Photos David Lieb (0:48) The problem: Applying to jobs is painfully repetitive (01:07) Viral launch: 2.7M views—LinkedIn loved it, Twitter said "you're going to destroy the world" (01:45) From 30,000 swipes to 20M: On track for 1% of all applications in the world (02:45) Building the team: 5 people shipping at Warp speed (03:45) Shipping velocity: Built Tinder for Jobs in 7 weeks (04:20) Switching from Rippling: "The UI was very confusing. I paid a contractor twice" (04:33) Switching to Warp: “Warp is a breath of fresh air, it’s like moving from Teams to Slack. The design is just really beautiful” (04:58) Setting the bar: "You want to be inspired by everything you use. It also helps you as a founder to know where the bar is. I’m building a B2B product soon and it should look like Warp and it should be as simple as warp”

Ayush S

20,553 次观看 • 8 个月前

Daniel reveals how he bought his $220,000 dream G Wagon with kids channel on YouTube Jack: “What's the craziest way you've made money on YouTube?” Daniel: “I just wrapped up running a channel around like 3 weeks ago for a new YouTube video I made. Essentially, the YouTube video was getting one subscriber equals $1 I can spend on my dream car. And so, I needed to get 220,000 subscribers to buy my dream car, which was a G Wagon for $220,000.” Daniel: “Basically, I ran this channel called Verusi. The videos were kids videos, and we would take these Russian creators' videos, they would make like really funny skits for like 5 year olds and we would put a voice over over them pretty much documenting what was going on in the video in the most 2 year old voice possible with the most simple wording possible.” Daniel: “I bought a pre monetized channel, which essentially meant that I bought the channel with already monetization enabled so that from the first video, we could generate revenue. Second video, 5 million views. Third video, 4 million views.” Daniel: “In the middle of the video, we would abruptly stop and we would be like, 'Subscribe if you want a pizza, like if you want a tomato, comment if you want an apple, and do all if you want your family to like live forever or some shit like that.' It was like really, really, really like brain rot, but it worked so well. We were getting like 100,000 subscribers a week.” Daniel: “I essentially realized that little kids don't have their own devices. They use their parents' devices to watch content. And so when a little kid is using their parents' device to watch a video, their parent is registered as a 30 or 40 year old. And so our entire audience demographic was 80% USA 40 year old viewers. And YouTube would essentially think that these are high trust advertisers.” Daniel: “We essentially tricked YouTube because getting kids to watch videos is super easy. It's not that hard. And our RPM was like 35 cents per video. And in the first week of that channel, we made $4,000. We paid an editor, I promise you, $5 per video. So, for a week, we uploaded seven videos. It costed us 35 bucks and we made $3,000 in our first week and got 150,000 subscribers.” Daniel: “I basically got 220,000 subscribers for the video, bought my car, and in the process made like $6,000 on that channel.”

Hribi

386,585 次观看 • 2 个月前