Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

wip (got faster!) Next.js mcmaster ships tomorrow + how-to 100% dynamic postgres-backed app w/ login h/t Ethan Niser, Rhys, arman

rauchg's profile picture

Guillermo Rauch

678,376 subscribers

171,621 görüntüleme • 1 yıl önce •via X (Twitter)

EğitimBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

10 Yorum

Rhys profil fotoğrafı
Rhys1 yıl önce

@nextjs @ethanniser @ksw_arman One of the most interesting Next projects I've worked on, really cool seeing how fast it can go with mostly defaults - excited for people to see what we've built

Matija Grcic profil fotoğrafı
Matija Grcic1 yıl önce

@nextjs @ethanniser @RhysSullivan @ksw_arman Probably doesn't have the same business logic underneath, that's always the contributing factor. Frontend can always fly fast by default until you introduce the business constraints.

Guillermo Rauch profil fotoğrafı
Guillermo Rauch1 yıl önce

It’s true that the “real world” adds complexity, but we specifically made this a dynamic website (hence callout to Postgres and logged-in support) to show that the architecture is sound. You could have done something “similar” to this demo with Jamstack / Gatsby a few years ago, and then it’d fall off that complexity cliff you’re referring to when adding personalization or millions of products.

Ethan Niser profil fotoğrafı
Ethan Niser1 yıl önce

@nextjs @RhysSullivan @ksw_arman Can't wait to ship this tomorrow

arman profil fotoğrafı
arman1 yıl önce

@nextjs @ethanniser @RhysSullivan Had a lot of fun building this, never realized how much time Next.js actually saves with out-of-the-box optimizations

Matt Popovich profil fotoğrafı
Matt Popovich1 yıl önce

@nextjs @ethanniser @RhysSullivan @ksw_arman Beautiful. This is peak marketing

andy profil fotoğrafı
andy1 yıl önce

@nextjs @ethanniser @RhysSullivan @ksw_arman love it, need the repo for this badly lol

Box Seat Duck Hunter profil fotoğrafı
Box Seat Duck Hunter1 yıl önce

@nextjs @ethanniser @RhysSullivan @ksw_arman But does it offer Next day delivery?

Jordan Hall profil fotoğrafı
Jordan Hall1 yıl önce

@nextjs @ethanniser @RhysSullivan @ksw_arman What about the search function 👀👀👀

Rasmus Andersson profil fotoğrafı
Rasmus Andersson1 yıl önce

@nextjs @ethanniser @RhysSullivan @ksw_arman What’s happening at ~00:11 in the video? Oscillation of state somehow?

Benzer Videolar

FINAL: GLVC Tournament Game 12: No.2 Seed UIS Baseball 5, No.4 Seed Drury 2 (UIS to GLVC Championship game) Ethan Bowers - 3/5, 2B, 2 RBI, SB Ben Benoit got the win: 6 IP, 5 H, 1 R, 4 BB, 3 K Seth Masters closed it out: 2.2 IP, 0 H, 0 R, 0 BB, 2 K Illinois-Springfield advances to the GLVC Championship game tomorrow (5/11) at 12:30 PM CT and will await the winner of the Missouri-St. Louis/Missouri S&T game #D2Baseball
0:28

FINAL: GLVC Tournament Game 12: No.2 Seed UIS Baseball 5, No.4 Seed Drury 2 (UIS to GLVC Championship game) Ethan Bowers - 3/5, 2B, 2 RBI, SB Ben Benoit got the win: 6 IP, 5 H, 1 R, 4 BB, 3 K Seth Masters closed it out: 2.2 IP, 0 H, 0 R, 0 BB, 2 K Illinois-Springfield advances to the GLVC Championship game tomorrow (5/11) at 12:30 PM CT and will await the winner of the Missouri-St. Louis/Missouri S&T game #D2Baseball

D2 Baseball

11,163 görüntüleme • 1 yıl önce

Brian Windhorst on covering the Heat and how LeBron may feel about the organization 👀 “I admire the Heat organization so much. I value the relationships created—I learned so much listening to Riley—They conduct themselves w/ professionalism & class. I've got nothing but wonderful positive things to say about Miami—I think LeBron might feel the same. He still mimics some of the stuff Pat Riley and Erik Spoelstra would say” (Via h/t Dru )
0:49

Brian Windhorst on covering the Heat and how LeBron may feel about the organization 👀 “I admire the Heat organization so much. I value the relationships created—I learned so much listening to Riley—They conduct themselves w/ professionalism & class. I've got nothing but wonderful positive things to say about Miami—I think LeBron might feel the same. He still mimics some of the stuff Pat Riley and Erik Spoelstra would say” (Via h/t Dru )

Heat Central

260,253 görüntüleme • 1 ay önce

Hasan reacts to MoistCr1TiKaL's video about the Ethan Klein/iDubbbz lawsuit, thinks Moist would have a different tune if he understood the context of Ethan stalking and harassing iDubbbz and Anisa "What does that have to do with iDubbbz.,where is the genuine proof that there is a network of anonymous accounts that Ethan Klein has targeted and identified as being responsible for calling CPS..I don't think there is any proof..Ethan certainly doesn't have that, idk why he keeps bringing this up as though it has anything to do w iDubbbz" "I 100% disagree..just moral posturing..iDubbbz is not in agreement with the comment whatsoever, I think it's perfectly valid to use such a severely defamatory statement..which ironically enough, Destiny has made about me..cuz he's a psycho..if ur a litigious person, u should apply that litigious nature to the actual offending party" "If Charlie knew half the gross sh*t Ethan mofo Klein has said about Ian and Anisa, I don't think he'd be doing this..Ethan Klein has directly stalked and mass harassed iDubbbz and Anisa for months on end..this litigation is an extension of that project" "Who's the sc*mbag here, is it iDubbbz or is the guy who's been harassing iDubbbz and Anisa for months, come on Charlie..ik everybody f'in hates Ian and myself and Morgan and Kaceytron on the internet but come on dude" "I'm willing to be charitable and assume that it's coming from a place of him not fully researching this stuff..but it seems like he's researched it extensively on one side..even after hearing Ethan's side, he still doesn't side with Ethan..should show u how unbalanced this whole predicament is"
6:29

Hasan reacts to MoistCr1TiKaL's video about the Ethan Klein/iDubbbz lawsuit, thinks Moist would have a different tune if he understood the context of Ethan stalking and harassing iDubbbz and Anisa "What does that have to do with iDubbbz.,where is the genuine proof that there is a network of anonymous accounts that Ethan Klein has targeted and identified as being responsible for calling CPS..I don't think there is any proof..Ethan certainly doesn't have that, idk why he keeps bringing this up as though it has anything to do w iDubbbz" "I 100% disagree..just moral posturing..iDubbbz is not in agreement with the comment whatsoever, I think it's perfectly valid to use such a severely defamatory statement..which ironically enough, Destiny has made about me..cuz he's a psycho..if ur a litigious person, u should apply that litigious nature to the actual offending party" "If Charlie knew half the gross sh*t Ethan mofo Klein has said about Ian and Anisa, I don't think he'd be doing this..Ethan Klein has directly stalked and mass harassed iDubbbz and Anisa for months on end..this litigation is an extension of that project" "Who's the sc*mbag here, is it iDubbbz or is the guy who's been harassing iDubbbz and Anisa for months, come on Charlie..ik everybody f'in hates Ian and myself and Morgan and Kaceytron on the internet but come on dude" "I'm willing to be charitable and assume that it's coming from a place of him not fully researching this stuff..but it seems like he's researched it extensively on one side..even after hearing Ethan's side, he still doesn't side with Ethan..should show u how unbalanced this whole predicament is"

yeet

154,647 görüntüleme • 1 ay önce

I've been building a music player with Next.js for fun. Here's a quick demo of how it works (it's open source!) • Demo: • Code: If you want to learn more about how it's built, here's more details ↓ I'm using Postgres (with Drizzle) to store information about the songs and playlists. Audio and image files are stored in Vercel Blob (object storage), and the URLs are then referenced in the database. For the UI, I'm using shadcn/ui (so Tailwind CSS and Radix). This made it easy to copy/paste in some nice components, like the dropdown menus. I built the entire first version of the UI in v0 and then iterated from there, feeding it my Drizzle schema as a source in the project and having it scaffold some of the boilerplate for me: I added support for keyboard navigation (using arrow keys) or vim motions (j/k to go up/down, and h/l to go between playlists and tracks). Also, space to toggle the now playing song, and / to focus the search input. The search function has a nice utility to highlight the currently searched text on the page in yellow. Then, I was exploring how to pass metadata from my application to macOS or iOS. Turns out there's an API for that – MediaSession. Web apps can share metadata about what media is playing (title, artist, album artwork) and sync play/pause/seek with system media controls. Works across modern browsers — even integrates with iOS dynamic island and shows up on lock screens: I set up my app like a PWA – it has a manifest.json file, so it can be installed to my iOS home screen or added to my dock on macOS. On iOS, it then uses the full screen height `100dvh` (dynamic viewport) and has padding on the bottom for the safe area with the `env()` CSS function. Finally, I was able to use the Vercel AI SDK in a script to clean up the metadata on audio files I downloaded from YouTube. Bonus: I even was able to dogfood the React Compiler, which helped me fix a performance bug! That's all! It's fun to make personal software:
2:03

I've been building a music player with Next.js for fun. Here's a quick demo of how it works (it's open source!) • Demo: • Code: If you want to learn more about how it's built, here's more details ↓ I'm using Postgres (with Drizzle) to store information about the songs and playlists. Audio and image files are stored in Vercel Blob (object storage), and the URLs are then referenced in the database. For the UI, I'm using shadcn/ui (so Tailwind CSS and Radix). This made it easy to copy/paste in some nice components, like the dropdown menus. I built the entire first version of the UI in v0 and then iterated from there, feeding it my Drizzle schema as a source in the project and having it scaffold some of the boilerplate for me: I added support for keyboard navigation (using arrow keys) or vim motions (j/k to go up/down, and h/l to go between playlists and tracks). Also, space to toggle the now playing song, and / to focus the search input. The search function has a nice utility to highlight the currently searched text on the page in yellow. Then, I was exploring how to pass metadata from my application to macOS or iOS. Turns out there's an API for that – MediaSession. Web apps can share metadata about what media is playing (title, artist, album artwork) and sync play/pause/seek with system media controls. Works across modern browsers — even integrates with iOS dynamic island and shows up on lock screens: I set up my app like a PWA – it has a manifest.json file, so it can be installed to my iOS home screen or added to my dock on macOS. On iOS, it then uses the full screen height `100dvh` (dynamic viewport) and has padding on the bottom for the safe area with the `env()` CSS function. Finally, I was able to use the Vercel AI SDK in a script to clean up the metadata on audio files I downloaded from YouTube. Bonus: I even was able to dogfood the React Compiler, which helped me fix a performance bug! That's all! It's fun to make personal software:

Lee Robinson

118,242 görüntüleme • 1 yıl önce

Akbar V dissed Latto on her own beat. 👀😩🤣 “You the biggest opp b*tch, know I’m Big Ak b*tch. Gonna have to call Croft cause I’m on you h*ed top b*tch. P*ssy been flopped b*tch, don’t care h*w you rock b*tch. Call up Fantasia just another baby mama b*tch” “P*ssy a** Latto how you didn’t respond to Cardi B ? I guess them p*ssy allegations really fit you well I see. She little girl’d this btch, she gave her a bag the one she bought her daughter. All that d*ck sucking that you’re doing, go and help your own father” “Mrs. Doubtfire looking b*tch, old in the face b*tch. Went and got a BBL, we still see your waist btch. Take the trash out, you just a trailer polar waste b*tch. The real Big Mama, spank b*tches on their own sh*t”
1:31

Akbar V dissed Latto on her own beat. 👀😩🤣 “You the biggest opp b*tch, know I’m Big Ak b*tch. Gonna have to call Croft cause I’m on you h*ed top b*tch. P*ssy been flopped b*tch, don’t care h*w you rock b*tch. Call up Fantasia just another baby mama b*tch” “P*ssy a** Latto how you didn’t respond to Cardi B ? I guess them p*ssy allegations really fit you well I see. She little girl’d this btch, she gave her a bag the one she bought her daughter. All that d*ck sucking that you’re doing, go and help your own father” “Mrs. Doubtfire looking b*tch, old in the face b*tch. Went and got a BBL, we still see your waist btch. Take the trash out, you just a trailer polar waste b*tch. The real Big Mama, spank b*tches on their own sh*t”

✨GOT DA SCOOP✨

12,732 görüntüleme • 1 ay önce

Hasan calls out Ethan Klein and everyone else (Asmongold, xQc, etc) who championed against Denims in his lawsuit, hopes MoistCr1TiKaL and Philip DeFranco cover the situation "This is Israeli mindset..not shocking to me his lawyer is a West Bank settler, not shocking that Ethan Klein loves Israel..u think u get to have a say in how ppl transform ur content, are u f'in stupid?" "A lot of our opposition are unbelievably stupid or just horrible monsters, sometimes both..every single major content creator on this platform was championing this lawsuit..it would have gutted react content..they should be kissing Denims feet..screeching at Ethan..but no they were too h-ny to bully a bunch of pro Palestine women that they don't like..they didn't even think about the consequences" "The work was transformative..Ethan was simply trying to sue ppl into submission bc he didn't like what they had to say, how's that for f'in free speech..at some point we finally got to say, this was a ridiculous process..Philip DeFranco MoistCr1TiKaL there's gonna be a point where ppl actually cover this stuff..I hope" "U don't seem to understand a lot my friend..ya Asmongold famous at conducting research..what he means by that is groking it..was it (Frogan defaulting)..or are u just as stupid and don't know what happened..the answer will shock u..u were just wrong on that too..and all the other lawyers" "I saw a clip of Asmongold crying and complaining that I was being as being soft as baby sh*t against this MorePegasus situation..what's really funny..Asmongold has actively demanded the federal government take care of me" "This guy covers lawsuits all the time..unless it's one of his best friends and it's a R suit..he loves lawsuits..for him to turn around cry foul in this moment is very funny, he's celebrated Ethan's lawsuits..he's even actively told his audience that R-Tone was k*lling it, same xQc*ck"
8:09

Hasan calls out Ethan Klein and everyone else (Asmongold, xQc, etc) who championed against Denims in his lawsuit, hopes MoistCr1TiKaL and Philip DeFranco cover the situation "This is Israeli mindset..not shocking to me his lawyer is a West Bank settler, not shocking that Ethan Klein loves Israel..u think u get to have a say in how ppl transform ur content, are u f'in stupid?" "A lot of our opposition are unbelievably stupid or just horrible monsters, sometimes both..every single major content creator on this platform was championing this lawsuit..it would have gutted react content..they should be kissing Denims feet..screeching at Ethan..but no they were too h-ny to bully a bunch of pro Palestine women that they don't like..they didn't even think about the consequences" "The work was transformative..Ethan was simply trying to sue ppl into submission bc he didn't like what they had to say, how's that for f'in free speech..at some point we finally got to say, this was a ridiculous process..Philip DeFranco MoistCr1TiKaL there's gonna be a point where ppl actually cover this stuff..I hope" "U don't seem to understand a lot my friend..ya Asmongold famous at conducting research..what he means by that is groking it..was it (Frogan defaulting)..or are u just as stupid and don't know what happened..the answer will shock u..u were just wrong on that too..and all the other lawyers" "I saw a clip of Asmongold crying and complaining that I was being as being soft as baby sh*t against this MorePegasus situation..what's really funny..Asmongold has actively demanded the federal government take care of me" "This guy covers lawsuits all the time..unless it's one of his best friends and it's a R suit..he loves lawsuits..for him to turn around cry foul in this moment is very funny, he's celebrated Ethan's lawsuits..he's even actively told his audience that R-Tone was k*lling it, same xQc*ck"

yeet

79,834 görüntüleme • 1 ay önce

WEAPONIZATION: The January 6th Committee realized they weren't limited by the 4th Amendment and could receive anything they requested from phone companies. House Democrats obtained 30 million lines of tolling records of thousands of Republicans. They obtained every call to or from the White House, TPUSA, & other organizations. They also obtained the tolling records for more than 100 associates of the president and at least a dozen Members of Congress. This data was fed into a tolling app like DataWalk allowing for ingestion of the data, query, visualization, storage, and transformation. This is how they were able to leak details to the media about people at the Capitol on J6th including - the number who had filed for bankruptcy, had tax liens, owed child support, had criminal records, were collecting unemployment and scores of other pieces of data. Where is this data today? Did the J6 Committee destroy it? h/t John Solomon
4:33

WEAPONIZATION: The January 6th Committee realized they weren't limited by the 4th Amendment and could receive anything they requested from phone companies. House Democrats obtained 30 million lines of tolling records of thousands of Republicans. They obtained every call to or from the White House, TPUSA, & other organizations. They also obtained the tolling records for more than 100 associates of the president and at least a dozen Members of Congress. This data was fed into a tolling app like DataWalk allowing for ingestion of the data, query, visualization, storage, and transformation. This is how they were able to leak details to the media about people at the Capitol on J6th including - the number who had filed for bankruptcy, had tax liens, owed child support, had criminal records, were collecting unemployment and scores of other pieces of data. Where is this data today? Did the J6 Committee destroy it? h/t John Solomon

@amuse

29,915 görüntüleme • 9 ay önce

FSD 14.2 STUNS IN WINTER DRIVING! Just got done driving ~100 miles on a snowy interstate and a little suburban driving. A few notes: FSD absolutely, definitively detects snow as a separate substance from rain. As the snow began to fall, there came a point where FSD first detected the snow and immediately slowed. From then on, it drove in a *completely different profile*. Generally, V14.2 kept 40-55mph on a 70mph interstate. When driving in Sloth/Chill and you try to increase the speed profile to Standard/Hurry, the truck displays a red error saying inclement weather is preventing FSD from speeding up. Fantastic! V14.2 takes corners slow as molasses to keep traction. It does NOT shoot gaps and pull out in front of other vehicles. V14.2 waits for BIG gaps to make its merge into traffic. It is properly cautious! One instance of Red Hands occurred when it was merging into a center left turn lane. This center lane was the only lane not plowed, so either 1. it got confused with lane markings or 2. Slid sideways very slightly and got upset. On straightaways on the interstate in areas with little snow coverage, V14.2 would speed up close to the speed limit. While the roads were wet today from road treatment, I was concerned for slick & frozen areas and manually backed off on the speed. While not technically unsafe, I did this out of an abundance of caution. IMO this is a grey area between "driving safely" and "not driving how I do" lol Not much ice today. Just snow and slush. ***Tonight, 6-12 inches of fresh snow is forecasted to fall here. I'll be out at dawn tomorrow to test in worse conditions with less traffic.*** Stay tuned.
0:34

FSD 14.2 STUNS IN WINTER DRIVING! Just got done driving ~100 miles on a snowy interstate and a little suburban driving. A few notes: FSD absolutely, definitively detects snow as a separate substance from rain. As the snow began to fall, there came a point where FSD first detected the snow and immediately slowed. From then on, it drove in a *completely different profile*. Generally, V14.2 kept 40-55mph on a 70mph interstate. When driving in Sloth/Chill and you try to increase the speed profile to Standard/Hurry, the truck displays a red error saying inclement weather is preventing FSD from speeding up. Fantastic! V14.2 takes corners slow as molasses to keep traction. It does NOT shoot gaps and pull out in front of other vehicles. V14.2 waits for BIG gaps to make its merge into traffic. It is properly cautious! One instance of Red Hands occurred when it was merging into a center left turn lane. This center lane was the only lane not plowed, so either 1. it got confused with lane markings or 2. Slid sideways very slightly and got upset. On straightaways on the interstate in areas with little snow coverage, V14.2 would speed up close to the speed limit. While the roads were wet today from road treatment, I was concerned for slick & frozen areas and manually backed off on the speed. While not technically unsafe, I did this out of an abundance of caution. IMO this is a grey area between "driving safely" and "not driving how I do" lol Not much ice today. Just snow and slush. ***Tonight, 6-12 inches of fresh snow is forecasted to fall here. I'll be out at dawn tomorrow to test in worse conditions with less traffic.*** Stay tuned.

The Cybertruck Guy

180,271 görüntüleme • 8 ay önce

so, you’ve vibe coded your startup but you’ve got 0 customers (okay maybe even a few) this 49 min video is your fix cody dropped a full paid ads tutorial for bootstrapped founders (google/meta ads, perplexity, heygen, elevenlabs) on The Startup Ideas Podcast (SIP) 🧃: 1/ start transactional → don’t waste year 1 on SEO. get signups tomorrow. 2/ niches > volume → 100 searches/mo can pay your rent for a decade. 3/ google ads setup → phrase match, intent-aligned landing pages, proper tracking. 4/ the ATM analogy → put in $1, get $4 out. that’s ads done right. 5/ conversion funnel secrets → clicks → signups → payments (don’t skip stages). 6/ meta ads strategy → AI avatar videos, valley girl voices in the pro tip, 40+ variations/month, nano banana for images, heygen for videos etc cody paid his rent for ten years off an app targeting a keyword with only 100 searches a month. the perfect ad formula → pain → vision → your product as the bridge. if you’re a founder, you’ll walk away from this episode knowing exactly how to do that people charge $5-10k for tutorials like this enjoy it free and go get some customers i believe in you
49:16

so, you’ve vibe coded your startup but you’ve got 0 customers (okay maybe even a few) this 49 min video is your fix cody dropped a full paid ads tutorial for bootstrapped founders (google/meta ads, perplexity, heygen, elevenlabs) on The Startup Ideas Podcast (SIP) 🧃: 1/ start transactional → don’t waste year 1 on SEO. get signups tomorrow. 2/ niches > volume → 100 searches/mo can pay your rent for a decade. 3/ google ads setup → phrase match, intent-aligned landing pages, proper tracking. 4/ the ATM analogy → put in $1, get $4 out. that’s ads done right. 5/ conversion funnel secrets → clicks → signups → payments (don’t skip stages). 6/ meta ads strategy → AI avatar videos, valley girl voices in the pro tip, 40+ variations/month, nano banana for images, heygen for videos etc cody paid his rent for ten years off an app targeting a keyword with only 100 searches a month. the perfect ad formula → pain → vision → your product as the bridge. if you’re a founder, you’ll walk away from this episode knowing exactly how to do that people charge $5-10k for tutorials like this enjoy it free and go get some customers i believe in you

GREG ISENBERG

170,165 görüntüleme • 11 ay önce

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:
0:31

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

slash1s

70,687 görüntüleme • 2 ay önce

My app just hit $7k/m. I'll hit 10k/m before I quit my job & fly to vietnam 🇻🇳 This is how I did it. Part One: The App. 1. Built an iOS app. 2. Found a validated niche. 3. Improved upon existing apps. 4. Read reviews to see pain points. 5. Improved everything: UI, onboarding, features. 6. With AI and good taste it's so easy to win. 7. You can build beautiful & useful product in a week. 8. Stack: Native Swift & RevenueCat. 9. Pricing of 7.99/w, 14.99/m and 49.99/y. 10. Typically weekly + yearly combo is good. 11. Adding monthly increased my conversions. 12. This will vary by niche: see what competitors do! Part Two: Apple Ads to 1k/m. 1. Used the $100 free credits to get data! 2. Measured my onboarding & paywall with posthog. 3. Already had 70% onboarding completion. 4. Reduced all friction: got it to 85%. 5. Ran AB tests using remote paywalls. 6. Kept everything compliant with Apple guidelines. 7. Achieved 8% install to paid. 8. Split campaigns by territory groups: US, AU, TH etc. 9. Used competitor names as strict keywords. 10. User searches for competitor: • My app way better so they download mine instead. 11. This relies on a really good app store page. 12. Mock up screenshots in Figma then enhance with AI. 13. ChatGPT Image-2 is free with Codex. Part Three: Scaling to 7k/m with Tikslop. 1. Scrolled in my niche, found organic viral posts. 2. Remade them myself: film with friends or use AI. 3. Seedance 2 mini is the best ROI video model I think. 4. I made ~8 formats, ~15 creatives. 5. Give each creative $50 of spend. 6. After $50, if CPA LTV then stop spend. 8. LTV is hard to calculate. You can ask Rico. 9. Better for me: Aimed for profit on first transaction. 10. This is simpler & more ambitious. 11. Expect to burn at least $500! Part Four: Scaling Ad Spend (The Big Leagues) 1. If the CPA is staying consistent. 2. Increase spend by < 30% each time. 3. My advice: ~15% each time. 4. 50, 60, 70, 90 etc. 5. Performance can be volatile. • Yesterday I made ~$170, a small loss. • A few days ago I made ~$600, big profit. 6. Measure averages over time. Remember: there are infinite ways to win, this is mine. It took me about 3 years to make a successful app. Winning is simply losing on a long enough timeline.
6:17

My app just hit $7k/m. I'll hit 10k/m before I quit my job & fly to vietnam 🇻🇳 This is how I did it. Part One: The App. 1. Built an iOS app. 2. Found a validated niche. 3. Improved upon existing apps. 4. Read reviews to see pain points. 5. Improved everything: UI, onboarding, features. 6. With AI and good taste it's so easy to win. 7. You can build beautiful & useful product in a week. 8. Stack: Native Swift & RevenueCat. 9. Pricing of 7.99/w, 14.99/m and 49.99/y. 10. Typically weekly + yearly combo is good. 11. Adding monthly increased my conversions. 12. This will vary by niche: see what competitors do! Part Two: Apple Ads to 1k/m. 1. Used the $100 free credits to get data! 2. Measured my onboarding & paywall with posthog. 3. Already had 70% onboarding completion. 4. Reduced all friction: got it to 85%. 5. Ran AB tests using remote paywalls. 6. Kept everything compliant with Apple guidelines. 7. Achieved 8% install to paid. 8. Split campaigns by territory groups: US, AU, TH etc. 9. Used competitor names as strict keywords. 10. User searches for competitor: • My app way better so they download mine instead. 11. This relies on a really good app store page. 12. Mock up screenshots in Figma then enhance with AI. 13. ChatGPT Image-2 is free with Codex. Part Three: Scaling to 7k/m with Tikslop. 1. Scrolled in my niche, found organic viral posts. 2. Remade them myself: film with friends or use AI. 3. Seedance 2 mini is the best ROI video model I think. 4. I made ~8 formats, ~15 creatives. 5. Give each creative $50 of spend. 6. After $50, if CPA LTV then stop spend. 8. LTV is hard to calculate. You can ask Rico. 9. Better for me: Aimed for profit on first transaction. 10. This is simpler & more ambitious. 11. Expect to burn at least $500! Part Four: Scaling Ad Spend (The Big Leagues) 1. If the CPA is staying consistent. 2. Increase spend by < 30% each time. 3. My advice: ~15% each time. 4. 50, 60, 70, 90 etc. 5. Performance can be volatile. • Yesterday I made ~$170, a small loss. • A few days ago I made ~$600, big profit. 6. Measure averages over time. Remember: there are infinite ways to win, this is mine. It took me about 3 years to make a successful app. Winning is simply losing on a long enough timeline.

Frederick James

98,506 görüntüleme • 5 gün önce

R.I.P. dev agencies ☠️ There's now an AI that debugs your app, clicks through the UI, finds what's broken, and fixes it on its own. And it hits a 97% success rate. Max isn’t a “code assistant.” It behaves like a full software engineer that never gets tired, never drifts, and never waits for your next instruction. You give it a goal. Max writes the code, tests it, checks the UI, finds the issues, fixes them, and loops until the task is done. Not theory. Actual work. Max handled things that normally eat entire days: • Debugging a Stripe checkout that refused to load • Solving a login-on-refresh issue by tracking network behavior step by step • Building a full Teams & Invites feature UI, routes, tokens, emails, tests while I focused on another part of the product 97 percent of the problems I threw at it got solved without me stepping in. The wild part is how Max operates: It sees the app. It clicks around. It interacts with the environment. It rewrites code. It retries until it works. Goal → attempt → improve → retry → done. Some tasks take 100 moves. Some run for 30 minutes. Most finish before I even finish a coffee. This flips the entire dev workflow on its head. Instead of “write code and hope it works,” you define outcomes and watch the engineer in the background get it done. Every once in a while a tool shows up that changes the tempo of an entire industry. Anything Max is one of them.
1:37

R.I.P. dev agencies ☠️ There's now an AI that debugs your app, clicks through the UI, finds what's broken, and fixes it on its own. And it hits a 97% success rate. Max isn’t a “code assistant.” It behaves like a full software engineer that never gets tired, never drifts, and never waits for your next instruction. You give it a goal. Max writes the code, tests it, checks the UI, finds the issues, fixes them, and loops until the task is done. Not theory. Actual work. Max handled things that normally eat entire days: • Debugging a Stripe checkout that refused to load • Solving a login-on-refresh issue by tracking network behavior step by step • Building a full Teams & Invites feature UI, routes, tokens, emails, tests while I focused on another part of the product 97 percent of the problems I threw at it got solved without me stepping in. The wild part is how Max operates: It sees the app. It clicks around. It interacts with the environment. It rewrites code. It retries until it works. Goal → attempt → improve → retry → done. Some tasks take 100 moves. Some run for 30 minutes. Most finish before I even finish a coffee. This flips the entire dev workflow on its head. Instead of “write code and hope it works,” you define outcomes and watch the engineer in the background get it done. Every once in a while a tool shows up that changes the tempo of an entire industry. Anything Max is one of them.

Alex Veremeyenko

80,419 görüntüleme • 7 ay önce

Ethan Klein talks about the reactions from Hasan’s side towards MoistCr1TiKaL's video and clarifies his positions Shows appreciation for the coverage even with the disagreements and asks Moist to think about how he would feel if he had 3 years of attacks from those same ppl since he felt compelled to make a response video after one day of it "We actually ended talking about it a fair bit and he agreed to read a statement I wrote..thought it was all nice and fair..ppl are entitled to disagree with me..knew a lot of ppl would..that's totally fine..what's interesting..he wasn't picking a side..our fans were very reasonable..but u can imagine Hasan and ppl like that, the snarkverse that infests Twitter and Reddit..they were enraged that he didn't completely sh*t on me, he def disagreed w me but it wasn't enough to just disagree..they require complete fealty" "Destiny said this in a chat, in a fleeting moment and immediately afterwards he made it clear..the point it wasn't really put out there as a serious accusation..snark took this, turned into a whole snark talking point..put it all over Reddit and Twitter..Ian being a active member of that community decided it would be a good idea to further broadcast it for 2 hours..although Ian starts by saying I don't believe it, he also hedges it by saying but I think it's a heavy accusation that's worth reacting to" "About 3 seconds, he says I don't believe it, for a 2 hour broadcast..vast majority u see this on Reddit, tiktok whatever..ur not gonna see that..I truly do believe that snark and his intention is to cause harm to my family..knowing that CPS came to our house already..he meant to cause harm to my family..would anybody be surprised if CPS came to my house again" "I don't think Charlie is intentionally doing this but he's underplaying a little bit of what Ian did and context of it and what all happened..btw I am not mad at Charlie..the opposite, he was super fair..I thought he was as thoughtful as he could be given the context he has..it's a lot, take me a lot to explain all this sh*t" "Btw I don't know Destiny at all..Ian on other hand was my friend for many years, met my kids..when he puts something like that on stream, it has credibility as compared to Destiny..which makes it worse imo" "They're kind of doing that when Charlie feels compelled to put out a 2nd video..even sharing a shred of empathy even tho he ultimately disagrees it wasn't enough so he goes on Twitter, Reddit and sees ppl losing their f'in minds..calling him this and that..including Hasan..so he's compelled to make a 2nd video..I do think it's interesting that after one day of Charlie facing with the same ppl who have been harassing us since Oct 7 2023, after one day they clearly got to him..imagine if those same ppl that got to Charlie after 1 day, spent 3 years relentlessly trying to ruin everything about u..saying u K babies, m-lst ur own children, ur children are eating dogsh*t..sending human skulls and also messing w my extended family, my employees..3 years of this stuff nonstop" "In our chat rn, our subreddit everyone's response was super reasonable..versus when he goes on Twitter, other Reddit communites..he's an enemy now just bc he expressed a little empathy for CPS coming"
11:58

Ethan Klein talks about the reactions from Hasan’s side towards MoistCr1TiKaL's video and clarifies his positions Shows appreciation for the coverage even with the disagreements and asks Moist to think about how he would feel if he had 3 years of attacks from those same ppl since he felt compelled to make a response video after one day of it "We actually ended talking about it a fair bit and he agreed to read a statement I wrote..thought it was all nice and fair..ppl are entitled to disagree with me..knew a lot of ppl would..that's totally fine..what's interesting..he wasn't picking a side..our fans were very reasonable..but u can imagine Hasan and ppl like that, the snarkverse that infests Twitter and Reddit..they were enraged that he didn't completely sh*t on me, he def disagreed w me but it wasn't enough to just disagree..they require complete fealty" "Destiny said this in a chat, in a fleeting moment and immediately afterwards he made it clear..the point it wasn't really put out there as a serious accusation..snark took this, turned into a whole snark talking point..put it all over Reddit and Twitter..Ian being a active member of that community decided it would be a good idea to further broadcast it for 2 hours..although Ian starts by saying I don't believe it, he also hedges it by saying but I think it's a heavy accusation that's worth reacting to" "About 3 seconds, he says I don't believe it, for a 2 hour broadcast..vast majority u see this on Reddit, tiktok whatever..ur not gonna see that..I truly do believe that snark and his intention is to cause harm to my family..knowing that CPS came to our house already..he meant to cause harm to my family..would anybody be surprised if CPS came to my house again" "I don't think Charlie is intentionally doing this but he's underplaying a little bit of what Ian did and context of it and what all happened..btw I am not mad at Charlie..the opposite, he was super fair..I thought he was as thoughtful as he could be given the context he has..it's a lot, take me a lot to explain all this sh*t" "Btw I don't know Destiny at all..Ian on other hand was my friend for many years, met my kids..when he puts something like that on stream, it has credibility as compared to Destiny..which makes it worse imo" "They're kind of doing that when Charlie feels compelled to put out a 2nd video..even sharing a shred of empathy even tho he ultimately disagrees it wasn't enough so he goes on Twitter, Reddit and sees ppl losing their f'in minds..calling him this and that..including Hasan..so he's compelled to make a 2nd video..I do think it's interesting that after one day of Charlie facing with the same ppl who have been harassing us since Oct 7 2023, after one day they clearly got to him..imagine if those same ppl that got to Charlie after 1 day, spent 3 years relentlessly trying to ruin everything about u..saying u K babies, m-lst ur own children, ur children are eating dogsh*t..sending human skulls and also messing w my extended family, my employees..3 years of this stuff nonstop" "In our chat rn, our subreddit everyone's response was super reasonable..versus when he goes on Twitter, other Reddit communites..he's an enemy now just bc he expressed a little empathy for CPS coming"

yeet

50,485 görüntüleme • 1 ay önce

Iran war, day 137 | Trump hit another Iranian hospital | Markets feeling the pain Trump is back to murdering Iranian kids! Trump struck the Ahvaz Children's cancer Hospital, which was previously damaged by the U.S. and Israel. Washington continues to target Iran's healthcare infrastructure, adding to a growing list of hospitals and medical centers struck across the country. Upon reflection, does Trump have regrets? He regrets not attacking Iran sooner. Trump believes Iran should have been attacked 47 years ago, and that it would have been much easier. I guess Trump forgot about the 8 year Iran/Iraq where the U.S. sided with Saddam to murder a million Iranians with conventional and chemical weapons! What other tricks does Trump have up his sleeve? Trump and his rogue regime created an illegal corridor south of the SOH, to smuggle oil, and they got caught -this is in violation of the MOU, when it mattered. -Trump toll substitute got filled with the sale of C-17 aircraft support services and equipment to Kuwait for an estimated value of $484 million -Saudi is getting $2 billion worth of precision guided missiles How does an American Journalist destined iran’s military? • Iran is capable of launching missiles • Iran is capable of launching drones • Iran triumphed tonight • The U.S. is in deep despair • Iran continues its field victories Has the U.S. been effective with its strikes? -Iran's underground missile cities are intact and operational. • The US is targeting Iran's Imam Ali base, but has not succeeded in any strikes so far. •Everything is underground, and the explosions are just loud noises. •There is no real impact. Are there still men among the U.S. military? Hegseth announced the Pentagon is going to check testosterone levels on service members aged 30 and older -are trump cabinet members going to be checked to? What has Iran struck so far? In the 10th phase of the army's Lightning operation: -US bases and centers in Jordan, Kuwait and Bahrain were targeted by army drone attacks -Iran targeted radars & ADS, fuel tanks, and communication systems -Iran hit US targets in Erbil, Iraq What did the U.S. strike besides another hospital and civilian infrastructure? US Central Command claims: “We targeted Iranian command centers, air defense sites, missile capabilities, and surveillance facilities.” -they struck the Semnan province, Ahvaz, Khuzestan, Lorestan province, Hengam island, Shiraz Trump now seeks to give Julani the green light to strike Hezbollah! -Trump says he is thinking about giving Julani a green-light to attack Hezbollah inside Lebanon and finish the job for Israel The markets: -Brent crude is using at $85/barrel -Brent crude target is at $100/b -WTI sits at $80/barrel -can expect $200/barrel oil when bab al-Mandan straight is shut down -Iran has officially announced that as long as the US stays in the region, not a drop of oil and gas will be exported from the region. -only 17 ships crossed the SOH -US/Iran was cost >$100 billion -space x pump and dump now below IPO price of $135 -about trump coin scam launch -Blackrock now controls $15 t in assets -JPMorgan, Goldman Sachs, BlackRock, Vanguard, and NYSE are tokenizing US stocks and Treasuries. Left to right: Video 1: Trump on Iran attacks Image: space x dump Video: Hegseth on low t levels Video: Iran hit Kuwaiti KGL warehouse
0:11

Iran war, day 137 | Trump hit another Iranian hospital | Markets feeling the pain Trump is back to murdering Iranian kids! Trump struck the Ahvaz Children's cancer Hospital, which was previously damaged by the U.S. and Israel. Washington continues to target Iran's healthcare infrastructure, adding to a growing list of hospitals and medical centers struck across the country. Upon reflection, does Trump have regrets? He regrets not attacking Iran sooner. Trump believes Iran should have been attacked 47 years ago, and that it would have been much easier. I guess Trump forgot about the 8 year Iran/Iraq where the U.S. sided with Saddam to murder a million Iranians with conventional and chemical weapons! What other tricks does Trump have up his sleeve? Trump and his rogue regime created an illegal corridor south of the SOH, to smuggle oil, and they got caught -this is in violation of the MOU, when it mattered. -Trump toll substitute got filled with the sale of C-17 aircraft support services and equipment to Kuwait for an estimated value of $484 million -Saudi is getting $2 billion worth of precision guided missiles How does an American Journalist destined iran’s military? • Iran is capable of launching missiles • Iran is capable of launching drones • Iran triumphed tonight • The U.S. is in deep despair • Iran continues its field victories Has the U.S. been effective with its strikes? -Iran's underground missile cities are intact and operational. • The US is targeting Iran's Imam Ali base, but has not succeeded in any strikes so far. •Everything is underground, and the explosions are just loud noises. •There is no real impact. Are there still men among the U.S. military? Hegseth announced the Pentagon is going to check testosterone levels on service members aged 30 and older -are trump cabinet members going to be checked to? What has Iran struck so far? In the 10th phase of the army's Lightning operation: -US bases and centers in Jordan, Kuwait and Bahrain were targeted by army drone attacks -Iran targeted radars & ADS, fuel tanks, and communication systems -Iran hit US targets in Erbil, Iraq What did the U.S. strike besides another hospital and civilian infrastructure? US Central Command claims: “We targeted Iranian command centers, air defense sites, missile capabilities, and surveillance facilities.” -they struck the Semnan province, Ahvaz, Khuzestan, Lorestan province, Hengam island, Shiraz Trump now seeks to give Julani the green light to strike Hezbollah! -Trump says he is thinking about giving Julani a green-light to attack Hezbollah inside Lebanon and finish the job for Israel The markets: -Brent crude is using at $85/barrel -Brent crude target is at $100/b -WTI sits at $80/barrel -can expect $200/barrel oil when bab al-Mandan straight is shut down -Iran has officially announced that as long as the US stays in the region, not a drop of oil and gas will be exported from the region. -only 17 ships crossed the SOH -US/Iran was cost >$100 billion -space x pump and dump now below IPO price of $135 -about trump coin scam launch -Blackrock now controls $15 t in assets -JPMorgan, Goldman Sachs, BlackRock, Vanguard, and NYSE are tokenizing US stocks and Treasuries. Left to right: Video 1: Trump on Iran attacks Image: space x dump Video: Hegseth on low t levels Video: Iran hit Kuwaiti KGL warehouse

Truth_teller 🇷🇺

26,025 görüntüleme • 13 gün önce

At an exclusive event of world leaders, Paul Tudor Jones says a top AI leader warned everyone: “It's going to take an accident where 50 to 100 million people die to make the world take the threat of this really seriously… I'm buying 100 acres in the Midwest, cattle, chickens." He says ALL of the top AI leaders present agreed there was a 10% chance of more than 50% of humanity being exterminated by AI. (SIDEBAR: These are INSANE levels of risk, especially coming from insiders *in* the field, which is totally unprecedented - industry always downplays risks to avoid oversight - and we would NEVER accept risk levels like this in other fields. Don't become numb to this insanity. Civil engineers build mere *pedestrian bridges* capable of supporting "one in a million" type events. Imagine a bridge with all 8 billion people on it - and the engineers themselves say it has a 1 in 10 chance of collapsing!) --------- Andrew Ross Sorkin: I was going to ask you about the stock market itself, but then you just said something to me which makes me a little bit nervous, which is your focus is less on that right this moment than you are about artificial intelligence. What do you mean? Paul Tudor Jones: Well, let me just say: I was minding my business—minding my business. I went to this tech conference about two weeks ago out West, and I just want to share with you what I learned there. Chatham House Rules, so we can talk about the content. It was a small one—forty notables, but real notables, like household names that you would recognize: the leaders in finance, politics, science, tech. The panel that disturbed me the most—is that AI clearly poses an imminent threat, a security threat—imminent in our lifetimes—to humanity. And that—that was the one that really, really got me. Sorkin: When you say “imminent threat,” what do you mean? Jones: So I’ll get to it. They had a panel of, again, four of the leading tech experts, and about halfway through someone asked them on AI security, “Well, what are you doing on AI security?” And they said, “The competitive dynamic is so intense among the companies, and then geopolitically between Russia and China, that there’s no agency—no ability to stop and say, ‘Maybe we should think about what we’re actually creating and building here.’” And so then the follow-up question is, “Well, what are you doing about it?” He said, “Well, I’m buying a hundred acres in the Midwest, I’m getting cattle and chickens, and I’m laying in provisions.” Sorkin: For real? Jones: For real, for real. And that was obviously a little disconcerting. And then he went on to say, “I think it’s going to take an accident where fifty to a hundred million people die to make the world take the threat of this really seriously.” Well, that was—that was freaky-deaky to me. And no one pushed back on him on that panel. And then afterwards we had a breakout session, which was really interesting. All forty people got up in a room like this, and they had a series of propositions and you had to either agree with or disagree with the proposition. And one of the propositions was: “There’s a ten-percent chance in the next twenty years that AI will kill fifty percent of humanity.” So there’s a 10% chance that AI will kill 50% of humanity in the next twenty years—agree or disagree. So I’d say the vast majority of the room moved to the disagree side. Elon Musk said there’s a 20% chance that AI will annihilate humanity. Now I know why he wants to go to Mars, right? And so about six or seven of us went to the agree side. And I’d gone there because of what I’d heard Elon Musk say, who’s maybe the most brilliant engineer of our time. All four modelers were on the agree side of that—all four of the leading developers of the AI models were on that side. And then we debated—then the two sides got to debate—and one of the modelers says to the disagree side, “If you don’t think there’s a 10% chance, as fast as these models are growing and how quickly they’re commoditizing knowledge, how easily they’re making it accessible, that someone couldn’t make a bioweapon weapon that could take out half of humanity, I don’t know, 10% seems… seems reasonable to me.” Sorkin: Okay, so thank you for bringing us great, great news over breakfast. Jones: I’m not a tech expert, but I’ve spent my whole life managing risk. And we just have to realize, to their credit, all these folks in AI are telling us we’re creating something that’s really dangerous. It’s going to be really great, too, but we’re helpless to do anything about it. That’s, to their credit, what they’re telling us, and yet we’re doing nothing right now, and it’s really disturbing. (h/t Andrew Curran for finding the clip!)
6:04

At an exclusive event of world leaders, Paul Tudor Jones says a top AI leader warned everyone: “It's going to take an accident where 50 to 100 million people die to make the world take the threat of this really seriously… I'm buying 100 acres in the Midwest, cattle, chickens." He says ALL of the top AI leaders present agreed there was a 10% chance of more than 50% of humanity being exterminated by AI. (SIDEBAR: These are INSANE levels of risk, especially coming from insiders *in* the field, which is totally unprecedented - industry always downplays risks to avoid oversight - and we would NEVER accept risk levels like this in other fields. Don't become numb to this insanity. Civil engineers build mere *pedestrian bridges* capable of supporting "one in a million" type events. Imagine a bridge with all 8 billion people on it - and the engineers themselves say it has a 1 in 10 chance of collapsing!) --------- Andrew Ross Sorkin: I was going to ask you about the stock market itself, but then you just said something to me which makes me a little bit nervous, which is your focus is less on that right this moment than you are about artificial intelligence. What do you mean? Paul Tudor Jones: Well, let me just say: I was minding my business—minding my business. I went to this tech conference about two weeks ago out West, and I just want to share with you what I learned there. Chatham House Rules, so we can talk about the content. It was a small one—forty notables, but real notables, like household names that you would recognize: the leaders in finance, politics, science, tech. The panel that disturbed me the most—is that AI clearly poses an imminent threat, a security threat—imminent in our lifetimes—to humanity. And that—that was the one that really, really got me. Sorkin: When you say “imminent threat,” what do you mean? Jones: So I’ll get to it. They had a panel of, again, four of the leading tech experts, and about halfway through someone asked them on AI security, “Well, what are you doing on AI security?” And they said, “The competitive dynamic is so intense among the companies, and then geopolitically between Russia and China, that there’s no agency—no ability to stop and say, ‘Maybe we should think about what we’re actually creating and building here.’” And so then the follow-up question is, “Well, what are you doing about it?” He said, “Well, I’m buying a hundred acres in the Midwest, I’m getting cattle and chickens, and I’m laying in provisions.” Sorkin: For real? Jones: For real, for real. And that was obviously a little disconcerting. And then he went on to say, “I think it’s going to take an accident where fifty to a hundred million people die to make the world take the threat of this really seriously.” Well, that was—that was freaky-deaky to me. And no one pushed back on him on that panel. And then afterwards we had a breakout session, which was really interesting. All forty people got up in a room like this, and they had a series of propositions and you had to either agree with or disagree with the proposition. And one of the propositions was: “There’s a ten-percent chance in the next twenty years that AI will kill fifty percent of humanity.” So there’s a 10% chance that AI will kill 50% of humanity in the next twenty years—agree or disagree. So I’d say the vast majority of the room moved to the disagree side. Elon Musk said there’s a 20% chance that AI will annihilate humanity. Now I know why he wants to go to Mars, right? And so about six or seven of us went to the agree side. And I’d gone there because of what I’d heard Elon Musk say, who’s maybe the most brilliant engineer of our time. All four modelers were on the agree side of that—all four of the leading developers of the AI models were on that side. And then we debated—then the two sides got to debate—and one of the modelers says to the disagree side, “If you don’t think there’s a 10% chance, as fast as these models are growing and how quickly they’re commoditizing knowledge, how easily they’re making it accessible, that someone couldn’t make a bioweapon weapon that could take out half of humanity, I don’t know, 10% seems… seems reasonable to me.” Sorkin: Okay, so thank you for bringing us great, great news over breakfast. Jones: I’m not a tech expert, but I’ve spent my whole life managing risk. And we just have to realize, to their credit, all these folks in AI are telling us we’re creating something that’s really dangerous. It’s going to be really great, too, but we’re helpless to do anything about it. That’s, to their credit, what they’re telling us, and yet we’re doing nothing right now, and it’s really disturbing. (h/t Andrew Curran for finding the clip!)

AI Notkilleveryoneism Memes ⏸️

720,318 görüntüleme • 1 yıl önce

This Chinese mathematician earned $10,000 a month inventing the hardest problems to train Neural Networks through Scale AI. Today his income dropped to zero. All the solutions are now generated by the model itself. He used to just hold the problem in his head and spell it out in plain text. His work is pure intellect. An expert in higher mathematics, he made his money hand-crafting the trickiest puzzles to test and train neural networks via RLHF. The bastion of "human" logic rested entirely on him, on people with PhDs who knew how to invent the problem. The collapse is simple. The shift to RLAIF and synthetic data. The model plays against itself, builds trees of logical inference, and solves deeper than a human can even invent the problem. No PhD data engineers, no hand-written prompt-completion examples, no manual grading. Just the model, search algorithms, and Chain of Thought. Ready-made "smart human-time" still sells on the market for many times more. His old rate was $50–100 per problem. The internal "mini-app" was written by the model too. Inside there's no pretty shell, just bare logic with exact steps: input: the problem statement inference tree: thousands of branches per second check: every step verifies itself output: a proof a human never had time to invent And here is what the whole setup looked like. He no longer needs to write an example by hand. He gave the model a direct instruction in human words, without a single formal term: "solve the problem yourself and grade yourself yourself" That's it. After that the algorithm found the solution, checked it, and trained on its own result, with no human. → the contractor got $50–100 per problem written → from 5,000 to 10,000 a month → now that income is annulled → a query to a math LLM costs 1–5 cents → a quant or an actuary runs 150,000–250,000 a year → the margin for whoever packages this into an agent is nearly 100% In the author's own words: "I'm no longer able to invent a problem the machine can't solve. The examiner became dumber than the one he's examining." But honestly, he admits the crude mistake himself, and it's not in the math, it's in the positioning. He tied his income to selling "smart human-time", to crafting formulas by hand. As long as he sells formulas, he's left behind. The machine computes faster than he can invent the problem. He names the right move himself: the role shifts from "intellectual craftsman" to "systems architect." Then he doesn't sell his time, he manages compute, packaging that same LLM into an autonomous agent that runs 24/7. Out of everything I've seen this year about the disappearance of intellectual professions, this is the most honest example: $50 per problem zeroed out to 1 cent per query, a doctor of science losing to a search algorithm, one problem stated in human words instead of a hand-written dataset, and right away an out-loud admission of the wrong business model. The barrier to entry in higher mathematics just dropped to the level of "describe the task in words." The only question is who'll be the first to stop selling their time and start managing the machine's compute.
3:12

This Chinese mathematician earned $10,000 a month inventing the hardest problems to train Neural Networks through Scale AI. Today his income dropped to zero. All the solutions are now generated by the model itself. He used to just hold the problem in his head and spell it out in plain text. His work is pure intellect. An expert in higher mathematics, he made his money hand-crafting the trickiest puzzles to test and train neural networks via RLHF. The bastion of "human" logic rested entirely on him, on people with PhDs who knew how to invent the problem. The collapse is simple. The shift to RLAIF and synthetic data. The model plays against itself, builds trees of logical inference, and solves deeper than a human can even invent the problem. No PhD data engineers, no hand-written prompt-completion examples, no manual grading. Just the model, search algorithms, and Chain of Thought. Ready-made "smart human-time" still sells on the market for many times more. His old rate was $50–100 per problem. The internal "mini-app" was written by the model too. Inside there's no pretty shell, just bare logic with exact steps: input: the problem statement inference tree: thousands of branches per second check: every step verifies itself output: a proof a human never had time to invent And here is what the whole setup looked like. He no longer needs to write an example by hand. He gave the model a direct instruction in human words, without a single formal term: "solve the problem yourself and grade yourself yourself" That's it. After that the algorithm found the solution, checked it, and trained on its own result, with no human. → the contractor got $50–100 per problem written → from 5,000 to 10,000 a month → now that income is annulled → a query to a math LLM costs 1–5 cents → a quant or an actuary runs 150,000–250,000 a year → the margin for whoever packages this into an agent is nearly 100% In the author's own words: "I'm no longer able to invent a problem the machine can't solve. The examiner became dumber than the one he's examining." But honestly, he admits the crude mistake himself, and it's not in the math, it's in the positioning. He tied his income to selling "smart human-time", to crafting formulas by hand. As long as he sells formulas, he's left behind. The machine computes faster than he can invent the problem. He names the right move himself: the role shifts from "intellectual craftsman" to "systems architect." Then he doesn't sell his time, he manages compute, packaging that same LLM into an autonomous agent that runs 24/7. Out of everything I've seen this year about the disappearance of intellectual professions, this is the most honest example: $50 per problem zeroed out to 1 cent per query, a doctor of science losing to a search algorithm, one problem stated in human words instead of a hand-written dataset, and right away an out-loud admission of the wrong business model. The barrier to entry in higher mathematics just dropped to the level of "describe the task in words." The only question is who'll be the first to stop selling their time and start managing the machine's compute.

Blaze

49,109 görüntüleme • 1 ay önce

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.
5:54:41

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.

Himanshu Kumar

39,379 görüntüleme • 4 ay önce

AI is the first technology in history where more customers makes you POORER. Every tech company in history got cheaper as it scaled. More users meant lower costs per user. That's the entire model. That's why Microsoft prints money. That's why Google prints money. That's why Meta prints money. Software has near-zero marginal cost. Build it once. Sell it a billion times. The 100 millionth user costs basically nothing to serve. This is the single most important rule in tech economics. But AI completely broke it. Every single query costs real compute. Every interaction burns real electricity. Every response depreciates real hardware. There is no "build once, sell forever." There is only "burn money every time someone asks a question." And the numbers prove it: OpenAI hit $20 billion in annualized revenue. Losses? $14 billion. For every dollar they earn, they spend $1.69 delivering it. Their losses TRIPLED as their revenue grew. Not because they're bad at business, but simply because the model itself is broken. Anthropic crossed $30 billion in annualized revenue. Still burning billions. Still not profitable. Still raising tens of billions just to keep the lights on. xAI is burning $1 billion every single month. Perplexity spent 164% of its revenue on compute costs from AWS, They literally spent more on running the AI than they made from selling it. This is not how technology is supposed to work. Google once estimated that adding AI to every search query would require 500,000 A100 servers. The cost of answering a single AI query is 10x MORE than a traditional search result. Traditional software: Serving 1 million users costs roughly the same as serving 100,000. The marginal cost is basically zero. AI: Serving 1 million users can cost 10 times what 100,000 costs. Every new user is a new expense. Every new query is a new dollar burned. This is reverse economics. The more successful you become, the faster you die. And nobody in the industry wants to talk about it because the entire narrative depends on you believing AI companies work like software companies. But they don't. They NEVER will. Software scales to infinity. AI scales to bankruptcy. HSBC ran the numbers on OpenAI specifically. Their conclusion: Even after every funding round, every investment, every deal, OpenAI still faces a $207 BILLION shortfall to reach profitability. The industry response has been to raise prices. ChatGPT went from free to $20 to $200 for the Pro plan. And it's still not enough because the cost of running these models grows FASTER than any price increase consumers will accept. Meanwhile 966 AI startups died in 2024. A 25.6% jump from the year before. AI startups burn cash twice as fast as non-AI tech companies. And the ones building on TOP of OpenAI and Anthropic are in even worse shape. Every wrapper app. Every "AI-powered" SaaS tool. Every startup whose entire product is someone else's model with a different skin on it. They're all margin-negative. Every single one. And these are the companies about to IPO. SpaceX, OpenAI, Anthropic, and Cerebras. $240 billion in combined raises planned for 2026. They're asking you to invest in an industry where the fundamental unit economics don't work. Where the MORE customers you get, the MORE money you lose. Where no company has figured out how to make the math positive. The dot-com bubble had the same pitch: "Revenue is growing. Profitability comes later." For most of them, later never came. The question isn't whether AI will change the world. It will. The question is whether it can do it without going broke first. And right now, every single number literally says no. How can they become profitable?
0:26

AI is the first technology in history where more customers makes you POORER. Every tech company in history got cheaper as it scaled. More users meant lower costs per user. That's the entire model. That's why Microsoft prints money. That's why Google prints money. That's why Meta prints money. Software has near-zero marginal cost. Build it once. Sell it a billion times. The 100 millionth user costs basically nothing to serve. This is the single most important rule in tech economics. But AI completely broke it. Every single query costs real compute. Every interaction burns real electricity. Every response depreciates real hardware. There is no "build once, sell forever." There is only "burn money every time someone asks a question." And the numbers prove it: OpenAI hit $20 billion in annualized revenue. Losses? $14 billion. For every dollar they earn, they spend $1.69 delivering it. Their losses TRIPLED as their revenue grew. Not because they're bad at business, but simply because the model itself is broken. Anthropic crossed $30 billion in annualized revenue. Still burning billions. Still not profitable. Still raising tens of billions just to keep the lights on. xAI is burning $1 billion every single month. Perplexity spent 164% of its revenue on compute costs from AWS, They literally spent more on running the AI than they made from selling it. This is not how technology is supposed to work. Google once estimated that adding AI to every search query would require 500,000 A100 servers. The cost of answering a single AI query is 10x MORE than a traditional search result. Traditional software: Serving 1 million users costs roughly the same as serving 100,000. The marginal cost is basically zero. AI: Serving 1 million users can cost 10 times what 100,000 costs. Every new user is a new expense. Every new query is a new dollar burned. This is reverse economics. The more successful you become, the faster you die. And nobody in the industry wants to talk about it because the entire narrative depends on you believing AI companies work like software companies. But they don't. They NEVER will. Software scales to infinity. AI scales to bankruptcy. HSBC ran the numbers on OpenAI specifically. Their conclusion: Even after every funding round, every investment, every deal, OpenAI still faces a $207 BILLION shortfall to reach profitability. The industry response has been to raise prices. ChatGPT went from free to $20 to $200 for the Pro plan. And it's still not enough because the cost of running these models grows FASTER than any price increase consumers will accept. Meanwhile 966 AI startups died in 2024. A 25.6% jump from the year before. AI startups burn cash twice as fast as non-AI tech companies. And the ones building on TOP of OpenAI and Anthropic are in even worse shape. Every wrapper app. Every "AI-powered" SaaS tool. Every startup whose entire product is someone else's model with a different skin on it. They're all margin-negative. Every single one. And these are the companies about to IPO. SpaceX, OpenAI, Anthropic, and Cerebras. $240 billion in combined raises planned for 2026. They're asking you to invest in an industry where the fundamental unit economics don't work. Where the MORE customers you get, the MORE money you lose. Where no company has figured out how to make the math positive. The dot-com bubble had the same pitch: "Revenue is growing. Profitability comes later." For most of them, later never came. The question isn't whether AI will change the world. It will. The question is whether it can do it without going broke first. And right now, every single number literally says no. How can they become profitable?

Ricardo

167,406 görüntüleme • 3 ay önce

New episode of the startup ideas pod (SIP) is out with Jordan Mix He shared his favorite startup ideas right now in under 33 minutes. We jammed on: 1. The internet will be filled with "sommeliers" within 18 months So, Martin Reese became a "drinking water sommelier" after 20 years in the restaurant industry Now he has 750k+ followers and make serious coin. Find something that requires curation and expertise, and own it. There's 100+ startup ideas here. There's going to be a sommerlier for X on the internet. And it pays to be the sommelier. 2. The new crop of water startups I spend ~$100/month on something called "alive water". The idea is that the water its the freshest spring water available. Not sure if that's just a gimmick but it's working. Live Oasis is a new startup onto something with their water ratings. But it shouldn’t be behind a paywall. We talked about why. We both see huge potential in a directory for clean water, starting a trend for all things unpolluted. Longevity + Yelp-like ratings is a big business. 3. "Clean" is the new "low-fat” Just like the low-fat craze in the 80s and 90s (think Diet Coke), people today are all about clean products. You’re either clean or you’re dirty. Such a brilliant copy/positioning reframe. 4. What would a lightweight Notion look like? There's space in the market for a lightweight productivity app The speed of Apple Notes + Notion's features and beautiful, readable formatting I'd be interested in an app like that. 5. How can we reinvent the mac desktop Wouldn’t it be nice if you could keep your desktop clean? Sometimes seeing everything in one place is a good thing. It sparks ideas and reminders Startup idea: alternative desktops in something called the upsidedown Curious what you think of that idea. I like the name. 6. Simple, single-purpose Mac apps Jordan mentioned Screenify and I love Klack Rolling up promising apps like these into a holding company could be a smart play Help them get discovered, monetized, and sell them as a bundle 7. Gear "brand-in-a-box" merch for internet companies We’re not talking free t-shirts and hats This would be high-end, cut-and-sew gear with 3PL fulfillment as a service. The kind of clothes people want to be seen in Your audience advertises for you. Word of mouth arbitrage There are no ads on the pod, if you got value out of it, share it, subscribe and review. Links will be in the next tweet on all your favorite podcast platforms Enjoy the SIP!
32:52

New episode of the startup ideas pod (SIP) is out with Jordan Mix He shared his favorite startup ideas right now in under 33 minutes. We jammed on: 1. The internet will be filled with "sommeliers" within 18 months So, Martin Reese became a "drinking water sommelier" after 20 years in the restaurant industry Now he has 750k+ followers and make serious coin. Find something that requires curation and expertise, and own it. There's 100+ startup ideas here. There's going to be a sommerlier for X on the internet. And it pays to be the sommelier. 2. The new crop of water startups I spend ~$100/month on something called "alive water". The idea is that the water its the freshest spring water available. Not sure if that's just a gimmick but it's working. Live Oasis is a new startup onto something with their water ratings. But it shouldn’t be behind a paywall. We talked about why. We both see huge potential in a directory for clean water, starting a trend for all things unpolluted. Longevity + Yelp-like ratings is a big business. 3. "Clean" is the new "low-fat” Just like the low-fat craze in the 80s and 90s (think Diet Coke), people today are all about clean products. You’re either clean or you’re dirty. Such a brilliant copy/positioning reframe. 4. What would a lightweight Notion look like? There's space in the market for a lightweight productivity app The speed of Apple Notes + Notion's features and beautiful, readable formatting I'd be interested in an app like that. 5. How can we reinvent the mac desktop Wouldn’t it be nice if you could keep your desktop clean? Sometimes seeing everything in one place is a good thing. It sparks ideas and reminders Startup idea: alternative desktops in something called the upsidedown Curious what you think of that idea. I like the name. 6. Simple, single-purpose Mac apps Jordan mentioned Screenify and I love Klack Rolling up promising apps like these into a holding company could be a smart play Help them get discovered, monetized, and sell them as a bundle 7. Gear "brand-in-a-box" merch for internet companies We’re not talking free t-shirts and hats This would be high-end, cut-and-sew gear with 3PL fulfillment as a service. The kind of clothes people want to be seen in Your audience advertises for you. Word of mouth arbitrage There are no ads on the pod, if you got value out of it, share it, subscribe and review. Links will be in the next tweet on all your favorite podcast platforms Enjoy the SIP!

GREG ISENBERG

21,494 görüntüleme • 2 yıl önce