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TrustMRR has no API. so I scraped EVERY single startup listing on the platform myself. dumped it all into a exportable JSON file YOU can download mrr, asking price, category, customer count, revenue multiples, founder info, total revenue, subscription counts. all of it. down to the daily revenue data.... show more

Om Patel

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50,076 просмотров • 5 месяцев назад •via X (Twitter)

Образование Наука и технологии Финансы

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this guy has made over $80,000 in one month selling ebooks on his youtube channel the future for youtube isn’t who can make the best content it’s who can sell their product the best 1,000s of dollars are wasted when not selling a product on your channel and a major factor causing this is that you don’t know what to sell now you can ask claude: "what longform channels are selling products to their audience?" and get a full breakdown of all revenue streams and products any channel has allowing you to identify what works, model successful businesses, and begin a whole new revenue stream outside of monetization

this guy has made over $80,000 in one month selling ebooks on his youtube channel the future for youtube isn’t who can make the best content it’s who can sell their product the best 1,000s of dollars are wasted when not selling a product on your channel and a major factor causing this is that you don’t know what to sell now you can ask claude: "what longform channels are selling products to their audience?" and get a full breakdown of all revenue streams and products any channel has allowing you to identify what works, model successful businesses, and begin a whole new revenue stream outside of monetization

sam

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"I can't speak to what revenue we're bringing in, but our ownership puts it back into players, a big chunk of it... that's the way it should be with all ownership groups." Dave Roberts when asked about critics who say the Dodgers are "buying a championship" ⬇️

"I can't speak to what revenue we're bringing in, but our ownership puts it back into players, a big chunk of it... that's the way it should be with all ownership groups." Dave Roberts when asked about critics who say the Dodgers are "buying a championship" ⬇️

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Postiz is on $145k MRR! Right now, we are growing by $1k MRR per day (some days are better) and will probably hit $2m ARR this week. But how can Postiz be growing that fast? What about the competitors? Why do some of them even struggle to pass the $1k MRR? This is my point of view on the subject. But it relates to everyone. Try to listen. It might help you with your startup.

Postiz is on $145k MRR! Right now, we are growing by $1k MRR per day (some days are better) and will probably hit $2m ARR this week. But how can Postiz be growing that fast? What about the competitors? Why do some of them even struggle to pass the $1k MRR? This is my point of view on the subject. But it relates to everyone. Try to listen. It might help you with your startup.

Nevo David

684,512 просмотров • 1 месяц назад

$you can now: > search any niche on the app store > pull every single negative review > and export it all into one file then drop it into codex 5.3 and get exactly what features to build here's what i did: 1\ found meal planning apps with this tool in seconds 2\ pulled 423 negative reviews 3\ exported everything into one file 4\ dropped it into codex 5.3 5\ asked it to find every feature users are requesting in seconds i got 25 features with the exact number of people requesting each one that's 423 real people telling you exactly what to build so many possibilities with this to build profitable mobile apps that people actually want$

you can now: > search any niche on the app store > pull every single negative review > and export it all into one file then drop it into codex 5.3 and get exactly what features to build here's what i did: 1\ found meal planning apps with this tool in seconds 2\ pulled 423 negative reviews 3\ exported everything into one file 4\ dropped it into codex 5.3 5\ asked it to find every feature users are requesting in seconds i got 25 features with the exact number of people requesting each one that's 423 real people telling you exactly what to build so many possibilities with this to build profitable mobile apps that people actually want

Om Patel

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We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."

We asked David Hsu (founder of Retool) about new AI use cases. "The US has invested $1-1.5T into AI, but revenue is only $20-30B. That's a crappy 3% ROI." "My guess is 80% of that revenue is ChatGPT + cloud. But chat is pretty limited, is it going to grow 30x from where we are now?" "Can we figure out some LLM uses cases beyond just chat? What we think is missing is leveraging LLMs to automate labor." "What we're here to really solve is, can we actually allow LLMs to do things in your business (like approving orders or plans). The next frontier for AI is AI that actually does things." "I think we're almost there. That's what we are working on."

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Elon Musk just now on $SPCX “In 4 or 5 years, AI will be 99% of the value of SpaceX” “The value of SpaceX will be some astronomical number” He also said earlier, “our AI revenue will succeed all other SpaceX revenue probably in September” SpaceX continues to have a key focus on AI right now which can pay off enormously if successful If the AI revenue continues to grow and they develop more within it, you can start to understand why this might get to an astronomical price like all these big institutions are predicting it to hit

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Brett Meiselas on opposition to AI data centers: "It is really the clearest and most physical representation right now of the class divide in our country, of what billionaires are doing and what billionaires want to force on the people, and what the people actually want."

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MeidasClips

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you can now export THOUSANDS of negative reviews off of the app store and feed it directly to claude opus 4.6 here's how it works: 1. choose any app category (fitness, productivity, social media, etc) 2. export the data as json (thousands of reviews + user pain points/feature requests) 3. upload it to claude and ask it anything i exported meal planner app data (10k reviews analyzed across 100+ apps) asked claude: "what features do users actually want in a meal planner app?" got back 60+ specific feature requests with validated demand so many opportunities with this data no more guessing what to build or what features to add just get exact features people are already begging for in reviews export the data, ask claude questions, get your entire product roadmap in seconds

you can now export THOUSANDS of negative reviews off of the app store and feed it directly to claude opus 4.6 here's how it works: 1. choose any app category (fitness, productivity, social media, etc) 2. export the data as json (thousands of reviews + user pain points/feature requests) 3. upload it to claude and ask it anything i exported meal planner app data (10k reviews analyzed across 100+ apps) asked claude: "what features do users actually want in a meal planner app?" got back 60+ specific feature requests with validated demand so many opportunities with this data no more guessing what to build or what features to add just get exact features people are already begging for in reviews export the data, ask claude questions, get your entire product roadmap in seconds

Om Patel

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the staff asking them for a phrase they’d say to clear up a talking stage except teetee crashed out for like half of it 🐶: phi… the way we’re talking right now, what do you think’s going on between us? — 🐻‍❄️: hey you (ter) 🐻‍❄️: hey you… so what are we? what are we right now? #TeeTeePorxMintHangOut

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the staff asking them for a phrase they’d say to clear up a talking stage except teetee crashed out for like half of it 🐶: phi… the way we’re talking right now, what do you think’s going on between us? — 🐻‍❄️: hey you (ter) 🐻‍❄️: hey you… so what are we? what are we right now? #TeeTeePorxMintHangOut

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"What advice should founders ignore?" "Almost all of it." Ben Fielding of gensyn: "As a founder, you have the absolute maximum information about the thing that you are doing. You can't give all of that information to somebody else to give you advice." "If you actually take advice itself, you are almost all of the time gonna be doing the wrong thing."

"What advice should founders ignore?" "Almost all of it." Ben Fielding of gensyn: "As a founder, you have the absolute maximum information about the thing that you are doing. You can't give all of that information to somebody else to give you advice." "If you actually take advice itself, you are almost all of the time gonna be doing the wrong thing."

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Revenue agents are the main course. Data enrichment is on the house. B2B orgs spend $3.1B a year for employees to find contact and company data. Now agents need it too. So we made a call: enrichment is a cost of doing agentic work, not a product to mark up. It's infrastructure that revenue agents need to run. Today, we’re opening up our in-house data collection and enrichment infrastructure to all. No extra contracts. No credits to count. Just revenue, served.

Revenue agents are the main course. Data enrichment is on the house. B2B orgs spend $3.1B a year for employees to find contact and company data. Now agents need it too. So we made a call: enrichment is a cost of doing agentic work, not a product to mark up. It's infrastructure that revenue agents need to run. Today, we’re opening up our in-house data collection and enrichment infrastructure to all. No extra contracts. No credits to count. Just revenue, served.

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yeet

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this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

this video is the CLEAREST explanation of how claude skills + AI agents work and how to use them most people set up an AI agent and wonder why it keeps disappointing them. the context window is everything context is what the model assembles before it takes any action. think of it like everything the agent needs to read before it does anything. the quality of what goes in determines the quality of what comes out. the models are genuinely really good right now. claude and gpt are exceptional. the variable is almost always the context you give them. 1. agent.md files are mostly unnecessary every single line you put in an agent.md file gets added to every single conversation you have with your agent. a 1000 line file is around 7000 tokens burning on every run. the model already knows to use react. it can read your codebase. save the agent.md for proprietary information specific to your company that the model genuinely cannot know on its own. 2. skills are the actual unlock a skill.md file works differently. what loads into context is only the name and description, around 50 tokens. the full instructions only appear when the agent recognizes it needs that skill. so instead of 7000 tokens on every run you have 50. and the agent stays sharp because the context window stays lean. the closer you get to filling the context window the worse the agent performs, same way you perform worse when someone dumps 10 things on you at once. 3. here is how to actually build a skill the right way most people identify a workflow and immediately try to write the skill. what you want to do instead is run the workflow by hand with the agent first. walk it through every single step. tell it what to check, what good looks like, what bad looks like. correct it in real time. once you have had a full successful run from start to finish, tell the agent to review everything it just did and write the skill itself. it writes a better skill than you will because it has the full context of what actually worked in practice not in theory. 4. recursively building skills is how you go from frustrated to reliable when the skill breaks, and it will break, ask the agent exactly why it failed. it will tell you specifically what went wrong. fix it together in that same conversation. then tell it to update the skill file so that failure mode never happens again. ross mike did this five times with his youtube report generator. it now pulls from eight different data sources and runs flawlessly every single time without him touching it. 5. sub agents are something you earn not something you set up on day one start with one agent. build one workflow. turn it into one skill. once that works add another. ross mike has five sub agents now covering marketing, business, personal and more. it took months to get there and every single one exists because a workflow proved it deserved to exist. the people who set up 15 sub agents on day one and wonder why nothing works skipped all the steps that make the thing actually run. 6. your workflow is the thing the model cannot get anywhere else the model has been trained on everything. it knows more than you about most things. what it does not have is your specific process, your taste, your way of doing things. that is what skills capture. that is what makes your agent actually useful versus a generic one. downloading someone else's skill means downloading their context onto your setup and it will not work the way you want it to because it was never built around how you work. this is the clearest explanation of how agents actually work i have heard. Micky runs this stuff every single day and the results show it. full episode is now live on The Startup Ideas Podcast (SIP) 🧃 where you get your pods people charge for this sorta stuff i give away the sauce for free i just want you to win watch

GREG ISENBERG

193,592 просмотров • 4 месяцев назад

Kimi K3's weights are free to download. Almost nobody on earth can actually run them. 2.8 trillion parameters. The download is the easy part. Open weights used to mean you could self-host. At this scale it means you can read the file. So people download it and call the API anyway. Daily revenue up at least 6x since launch. Openness stopped being the opposite of a business model. It became the top of the funnel. The license says the quiet part. Past $20M in revenue you negotiate a contract. Past 100M users you display their name. Free for the developer. A contract for anyone the model actually earns from. And publishing the weights kills the argument before it starts. Nobody can claim the benchmarks were cooked. Independent indexes put K3 top three overall and first in frontend coding, with no one taking Moonshot's word for it. That's the whole trade. Give away the artifact, keep the infrastructure, get the audit for free. Check the last open model you praised. Ask whether you could serve it, or only download it.

Kimi K3's weights are free to download. Almost nobody on earth can actually run them. 2.8 trillion parameters. The download is the easy part. Open weights used to mean you could self-host. At this scale it means you can read the file. So people download it and call the API anyway. Daily revenue up at least 6x since launch. Openness stopped being the opposite of a business model. It became the top of the funnel. The license says the quiet part. Past $20M in revenue you negotiate a contract. Past 100M users you display their name. Free for the developer. A contract for anyone the model actually earns from. And publishing the weights kills the argument before it starts. Nobody can claim the benchmarks were cooked. Independent indexes put K3 top three overall and first in frontend coding, with no one taking Moonshot's word for it. That's the whole trade. Give away the artifact, keep the infrastructure, get the audit for free. Check the last open model you praised. Ask whether you could serve it, or only download it.

wast3

61,275 просмотров • 4 дней назад

JUNGWON FOLLOWING SUNOO INTO THE TOILET WHAT A MENACE 😭 🦊 i'm waiting for the bathroom right now isn't this it? this behind the scenes. this is the real behind the scenes 🐈 sunoo hyung, are you going to poop? 🦊 no? no comment 🐈 sunoo hyung , are you going to poop 🦊 no comment 🐈 (follows sunoo into the toilet) sunoo hyung 🦊 hey, what are you doing? what are you doing ?

JUNGWON FOLLOWING SUNOO INTO THE TOILET WHAT A MENACE 😭 🦊 i'm waiting for the bathroom right now isn't this it? this behind the scenes. this is the real behind the scenes 🐈 sunoo hyung, are you going to poop? 🦊 no? no comment 🐈 sunoo hyung , are you going to poop 🦊 no comment 🐈 (follows sunoo into the toilet) sunoo hyung 🦊 hey, what are you doing? what are you doing ?

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