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After 4 months of legal groundwork, engineering, and partnership development, we’re excited to introduce Kled Life. A fully new experience inside the Kled app that reimagines how user data is shared, and how users are compensated. Kled users can now link their Netflix, Uber, Gmail, Spotify, and over 100...

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Kled AI

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52,199 Aufrufe • vor 10 Monaten •via X (Twitter)

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The wait is over, introducing Kled the first app that lets you upload your personal data and get paid for it. Fully out of beta and available for everyone on the App Store today. Your data, your story.
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The wait is over, introducing Kled the first app that lets you upload your personal data and get paid for it. Fully out of beta and available for everyone on the App Store today. Your data, your story.

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We are excited to announce that Whop is now the official payments network for Kled AI. Kled is one of the fastest growing human data marketplaces in the world. Now anyone can upload their data, complete tasks, and get paid through Whop.
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We are excited to announce that Whop is now the official payments network for Kled AI. Kled is one of the fastest growing human data marketplaces in the world. Now anyone can upload their data, complete tasks, and get paid through Whop.

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695,348 Aufrufe • vor 5 Monaten

The $KLED Enterprise Portal Full Demo – Search and License Any Data in Seconds: For the last 6 weeks, we've had thousands of users sign up for the first data marketplace. We've paid out over $200,000 to them for uploading their camera rolls, homework, dashcam footage, etc. We've now amassed petabytes and petabytes of data from these users and large enterprises, and tagged it all with rich metadata. Now OpenAI, xAI, Google AI, or any other large lab can easily search and license that data using our newly completed enterprise portal. If you're a large lab, send me a DM and get access to the largest, never-before-seen consumer dataset on the planet. This is the biggest update for Kled since launch.
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The $KLED Enterprise Portal Full Demo – Search and License Any Data in Seconds: For the last 6 weeks, we've had thousands of users sign up for the first data marketplace. We've paid out over $200,000 to them for uploading their camera rolls, homework, dashcam footage, etc. We've now amassed petabytes and petabytes of data from these users and large enterprises, and tagged it all with rich metadata. Now OpenAI, xAI, Google AI, or any other large lab can easily search and license that data using our newly completed enterprise portal. If you're a large lab, send me a DM and get access to the largest, never-before-seen consumer dataset on the planet. This is the biggest update for Kled since launch.

Avi Patel

91,697 Aufrufe • vor 1 Jahr

Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.
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Kled Version 3 is coming. Over $20M+ in rewards will be paid directly to users from leading AI labs across robotics, legal services, image and video generation, world modeling, and more. In the last seven days, we’ve received inbound data requests from several decacorn AI labs and enterprises for datasets our human data marketplace is uniquely positioned to provide. Since receiving the specs for these requests, we now have a much better picture and understanding of how to reshape the systems that collect this data, so here’s what’s coming: 1. A fully redesigned home experience: The home feed is being rebuilt to surface the highest-value, most relevant tasks for each user, similar to how Uber Eats surfaces top restaurants. The goal is to turn every user into their most effective version as a data contributor. 2. Automated quality enforcement at scale: New ML systems are being built to evaluate task-specific requirements in real time. For example, if a task requires “two hands visible on camera at all times,” any video that fails that spec will be automatically rejected. This logic will apply across thousands of tasks and specifications using a general ML. 3. Kled Shop: Some tasks require better capture hardware. We’re introducing Kled Shop, where users can redeem points or tokens for equipment like Meta glasses, drones, and other tools. Points and tokens can be converted directly from payouts. 4. Partner-run data labeling and evaluation work: Some of our partners operate high-paying data labeling and model evaluation programs. We’re integrating their workflows directly into Kled so qualified users can access these roles in one place. These jobs are owned and managed by our partners. Kled’s role is to route the right people to the right work. Some opportunities pay $50–$1,000 per hour depending on expertise. 5. Global payouts and localization: We’re partnering with a major payment processor to enable cashouts in users’ native currencies. This unlocks broader global participation. Multi-language support is also coming to accelerate user growth. This full suite of tools will be rolling out soon, directly to Kled users. Top earners are currently making ~$7,000 per month. With this update, we should see the first ~$10,000 per month earner.

Avi Patel

124,728 Aufrufe • vor 7 Monaten

Gm. We're excited to announce that Kled has just entered into an agreement scoped at up to $2.2 million to roll out 80+ egocentric special tasks for user data. All new special tasks will be found on the special tasks tab of the mobile app. 30 hours after removing the waitlist and launching V2 we broke a record for active users uploading on Kled. This wouldn’t have been possible without you. Our network is only as valuable as the people who contribute to it. We love you all.
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Gm. We're excited to announce that Kled has just entered into an agreement scoped at up to $2.2 million to roll out 80+ egocentric special tasks for user data. All new special tasks will be found on the special tasks tab of the mobile app. 30 hours after removing the waitlist and launching V2 we broke a record for active users uploading on Kled. This wouldn’t have been possible without you. Our network is only as valuable as the people who contribute to it. We love you all.

Kled AI

28,310 Aufrufe • vor 8 Monaten

We've received an $8 million request for anonymized financial data. Credit card reports, tax returns, w9 forms and other personal financial documents. Users will be able to upload and get paid for these documents at their discretion directly in the Kled app. Fully anonymized with 0 personal data leaked. Expected pay is up to $50-$150 per form. Live with our V3 update, currently being fulfilled through a network of specialized accountants with the proper legal clearance. On another note over the next 3 days another $500,000 of $KLED will be purchased.
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We've received an $8 million request for anonymized financial data. Credit card reports, tax returns, w9 forms and other personal financial documents. Users will be able to upload and get paid for these documents at their discretion directly in the Kled app. Fully anonymized with 0 personal data leaked. Expected pay is up to $50-$150 per form. Live with our V3 update, currently being fulfilled through a network of specialized accountants with the proper legal clearance. On another note over the next 3 days another $500,000 of $KLED will be purchased.

Kled AI

149,833 Aufrufe • vor 2 Monaten

Dupe has just made a $550,000 investment into $KLED, and are partnering up to enrich hundreds of millions of commerce data points. Dupe is one of the fastest-growing shopping networks on the internet. Approaching $100 million in GMV this year and on track to 5× that within the next 12 months. Over the last four months, Kled has expanded beyond data collection to full scale data enrichment/labeling, building enterprise infrastructure that turns raw data into structured, insight-rich training sets for next-generation AI. Unlike traditional shopping platforms, Dupe is platform-agnostic, it sees shopping behavior across the entire internet. This gives rise to a massive opportunity: to understand not just what users buy, but why they buy. Through Kled’s enrichment layer, we’re mapping shopping journeys in granular detail: – Identifying product discovery patterns – Understanding brand affinities – Measuring historical price sensitivity and intent – Predicting cross-category purchase paths Dupe will use this enriched dataset to power shopping LLMs capable of anticipating needs, personalizing recommendations, and reducing friction from discovery to checkout. In the coming months, Kled and Dupe will continue deepening this collaboration as we use this data to enhance their user experience. We’re excited to push past our limits and create the perfect labeling infrastructure for this data. Kled will continue to compete with not only the data collection giants but also the data enrichment unicorns that are worth billions of dollars.
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Dupe has just made a $550,000 investment into $KLED, and are partnering up to enrich hundreds of millions of commerce data points. Dupe is one of the fastest-growing shopping networks on the internet. Approaching $100 million in GMV this year and on track to 5× that within the next 12 months. Over the last four months, Kled has expanded beyond data collection to full scale data enrichment/labeling, building enterprise infrastructure that turns raw data into structured, insight-rich training sets for next-generation AI. Unlike traditional shopping platforms, Dupe is platform-agnostic, it sees shopping behavior across the entire internet. This gives rise to a massive opportunity: to understand not just what users buy, but why they buy. Through Kled’s enrichment layer, we’re mapping shopping journeys in granular detail: – Identifying product discovery patterns – Understanding brand affinities – Measuring historical price sensitivity and intent – Predicting cross-category purchase paths Dupe will use this enriched dataset to power shopping LLMs capable of anticipating needs, personalizing recommendations, and reducing friction from discovery to checkout. In the coming months, Kled and Dupe will continue deepening this collaboration as we use this data to enhance their user experience. We’re excited to push past our limits and create the perfect labeling infrastructure for this data. Kled will continue to compete with not only the data collection giants but also the data enrichment unicorns that are worth billions of dollars.

Kled AI

80,171 Aufrufe • vor 10 Monaten

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update. Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it. Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions. We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content. Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material. Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network. All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.
0:44

We’re excited to finally introduce Kled Special Tasks, the final major feature included in the V2 app update. Users will now have access to a fully interactive terminal where they can view and complete domain specific upload tasks directly from enterprise buyers. These tasks can be region locked and person specific. For example, PhD students at Stanford might be prompted to upload their coursework or research materials and get paid for it. Our first domain specific task will focus on homework collection from high school and college students across Europe and the United States. Students will verify their emails and academic credentials directly within the app. We’ve built labeling workflows to ensure all uploaded content meets our criteria, and participants will receive weighted payouts based on the value of their submissions. We’ve already built a network of over 3,800 students from Stanford, MIT, UIUC, Rutgers, and Duke who will be actively onboarded to contribute content. Kled will work hand in hand with our research division, HADES, to justify the large scale purchase of this homework content. Several enterprise buyers have already expressed interest, each confirming that academic data from students represents a growing multi year industry requiring a continuous flow of fresh material. Kled Special Tasks also gives us the ability to internally identify valuable content types, issue calls for specific datasets, and collect 1,000-2,000 unique samples per task. We can then package these datasets into specialized data packs that our sales team will use to pitch directly to AI labs and enterprise clients with matching data needs. This will be one of our most powerful tools for expanding Kled’s buyer network. All of this will be fully available in the V2 update. We’re excited to show just how advanced our segmentation and data validation software has become as we bring this release to market.

Kled AI

74,618 Aufrufe • vor 9 Monaten

Introducing Kled Labeling, the next major update of the Kled app. For the first time, everyday people can earn real income from AI’s fastest growing sector: data labeling. Users now have the ability to label content in the most intuitive way possible from the hottest Silicon Valley startups, with millions of dollars allocated in rewards. So whether you're on your couch watching TV, at the dinner table, in bed, anywhere you can earn just with the tap of a button. We’re not hiring VAs. We’re not outsourcing overseas. We’re building a collective of users to outpace the billion dollar giants like Mercor, Scale AI, Surge, and more. This is the first public application that lets anyone earn by labeling data. Every American and global citizen will become the network.
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Introducing Kled Labeling, the next major update of the Kled app. For the first time, everyday people can earn real income from AI’s fastest growing sector: data labeling. Users now have the ability to label content in the most intuitive way possible from the hottest Silicon Valley startups, with millions of dollars allocated in rewards. So whether you're on your couch watching TV, at the dinner table, in bed, anywhere you can earn just with the tap of a button. We’re not hiring VAs. We’re not outsourcing overseas. We’re building a collective of users to outpace the billion dollar giants like Mercor, Scale AI, Surge, and more. This is the first public application that lets anyone earn by labeling data. Every American and global citizen will become the network.

Kled AI

58,972 Aufrufe • vor 10 Monaten

We’re thrilled to announce that Kled has signed an exclusive AI licensing agreement with its first government organization, Maryland Public Television (MPT), one of the largest statewide networks in the Public Broadcasting Service (PBS) family. For over 50 years, MPT has been recognized as one of the most decorated regional broadcasters in America, earning 211 Capital Emmy® Awards from the National Academy of Television Arts & Sciences, along with multiple national Emmys and the Board of Governors Award for overall excellence. Under this deal, Kled now holds one of the most versatile TV catalogues across crime, science, nature, and local storytelling. Hundreds of broadcast shows are now converting to high fidelity training data. This is historically one of the first and largest TV publishing deals specifically for AI training. We’re beyond excited to continue to push these boundaries and sign the biggest production networks in the world. This is premium, authorized training data. If labs want to train on it legally, they now come through Kled. This is just the start, more and more government organizations will continue to trust Kled with their data. Welcome to the family MPT.
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We’re thrilled to announce that Kled has signed an exclusive AI licensing agreement with its first government organization, Maryland Public Television (MPT), one of the largest statewide networks in the Public Broadcasting Service (PBS) family. For over 50 years, MPT has been recognized as one of the most decorated regional broadcasters in America, earning 211 Capital Emmy® Awards from the National Academy of Television Arts & Sciences, along with multiple national Emmys and the Board of Governors Award for overall excellence. Under this deal, Kled now holds one of the most versatile TV catalogues across crime, science, nature, and local storytelling. Hundreds of broadcast shows are now converting to high fidelity training data. This is historically one of the first and largest TV publishing deals specifically for AI training. We’re beyond excited to continue to push these boundaries and sign the biggest production networks in the world. This is premium, authorized training data. If labs want to train on it legally, they now come through Kled. This is just the start, more and more government organizations will continue to trust Kled with their data. Welcome to the family MPT.

Kled AI

38,616 Aufrufe • vor 10 Monaten

The first human data marketplace has just crossed over 1 billion uploads. Tens of thousands of structured and labeled datasets across all human activity. We are on track to do over 5 billion uploads this year, officially cementing our place as the largest opt in human data collection effort in history. This belongs to every person who chose to own their data. Thank you. Download Kled on the app store today.
0:35

The first human data marketplace has just crossed over 1 billion uploads. Tens of thousands of structured and labeled datasets across all human activity. We are on track to do over 5 billion uploads this year, officially cementing our place as the largest opt in human data collection effort in history. This belongs to every person who chose to own their data. Thank you. Download Kled on the app store today.

Kled AI

126,934 Aufrufe • vor 4 Monaten

Our CBO, Paul, talked about how CARV empowers users to own and monetize their data. Using SHRAPNEL » Play Now on Steam as an example, he illustrated the significant returns that the CARV ecosystem offers. Enjoy a passive revenue stream for life, and get the data value back to you. Mint your CARV ID today and start earning from your data: #CARV #CARVProtocol #DataRevenue
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Our CBO, Paul, talked about how CARV empowers users to own and monetize their data. Using SHRAPNEL » Play Now on Steam as an example, he illustrated the significant returns that the CARV ecosystem offers. Enjoy a passive revenue stream for life, and get the data value back to you. Mint your CARV ID today and start earning from your data: #CARV #CARVProtocol #DataRevenue

CARV

81,294 Aufrufe • vor 2 Jahren

What if your data worked for you instead of against you? In one of the most gripping talks at ZK Hub ETHDenver, Juan Angel (Juan), Ecosystem Growth at , made the case for “open but private” data - arguing that blind computation can break data out of corporate silos and let users lease it securely without ever revealing the raw inputs. Through real examples like encrypted genomic data (via Monatic DNA) and incentivized health prediction markets (Stadium Science), Juan painted a future where users hold the encryption keys, opt in to share data selectively, and get paid every time it's used. The biggest takeaway? Not your keys, not your data. This talk is also available to view on the House of ZK YouTube:
13:12

What if your data worked for you instead of against you? In one of the most gripping talks at ZK Hub ETHDenver, Juan Angel (Juan), Ecosystem Growth at , made the case for “open but private” data - arguing that blind computation can break data out of corporate silos and let users lease it securely without ever revealing the raw inputs. Through real examples like encrypted genomic data (via Monatic DNA) and incentivized health prediction markets (Stadium Science), Juan painted a future where users hold the encryption keys, opt in to share data selectively, and get paid every time it's used. The biggest takeaway? Not your keys, not your data. This talk is also available to view on the House of ZK YouTube:

House of ZK

65,143 Aufrufe • vor 1 Jahr

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Early Data Economy App Beta Adoption: Stake $LAI Before the Economy Mainnet 🪢 Many of the 1M registered accounts on LayerAI have been activated by the Data Economy Beta this week. We have seen the rise on daily active users and new accounts created, demonstrating a strong interest in one of our core products. Next up, Data Economy App Beta is coming to other devices via App Store apps, to test out the functionalities on mobile. Our users - who have staked $LAI and claimed Data Capsules - started accumulating simulation economy DATUM, to test out the 2earn functionality of the Data Economy App. This marks the last opportunity to receive Data Capsules before the Data Economy Mainnet. 👉 How to stake $LAI:

LayerAI | AI2Earn

50,596 Aufrufe • vor 2 Jahren

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
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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

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99,021 Aufrufe • vor 6 Monaten

Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!
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Enrollment is now open for the Data Engineering Professional Certificate! Data engineers are the architects of modern organizations, ensuring data is reliable, accessible, and ready for analytics and machine learning. This professional certificate is tailored to equip you with the critical skills, through frameworks and hands-on practice, to excel in this role. Taught by industry expert Joe Reis, co-author of the best-selling book "Fundamentals of Data Engineering," along with 17 guest instructors from the data field, you will gain expertise to start and further your career in the high-demand field of data engineering. Key focus areas: 🗂️ Data Engineering Lifecycle: Learn the important stages of building an efficient data pipeline that creates business value. 📥 Data Ingestion: Learn how to efficiently gather data from various sources. 💾 Data Storage: Master the techniques for storing data securely and cost-effectively. 🔄 Data Transformation: Understand how to clean, organize, and prepare data for analysis and machine learning. 🏗️ Data Architecture Design: Build robust architectures that support scalable, efficient data workflows. 📊 Serving Data: Ensure that data is available to stakeholders when and where they need it to drive business decisions. Enroll now!

DeepLearning.AI

20,833 Aufrufe • vor 1 Jahr

Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!
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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

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30,458 Aufrufe • vor 1 Jahr

our biggest focus for the next 2 months at kled is trust & safety. so we built a fully public audit trail for every single upload on the app, updates automatically the second it's made. the moment we send data to an AI lab, they can search the hash ID of any image, video, doc, or audio file and see exactly: - the tos + privacy policy the user signed - every compliance check we ran - anonymized kyc proof - confirmation the user got paid - a full timestamp of the entire interaction start to finish any ai lab can now verify the legitimacy of any dataset in seconds, making us the first data marketplace in history to publicize its data audit records. consumer identities are fully anonymized and hidden, no users will be exposed in the process.
0:49

our biggest focus for the next 2 months at kled is trust & safety. so we built a fully public audit trail for every single upload on the app, updates automatically the second it's made. the moment we send data to an AI lab, they can search the hash ID of any image, video, doc, or audio file and see exactly: - the tos + privacy policy the user signed - every compliance check we ran - anonymized kyc proof - confirmation the user got paid - a full timestamp of the entire interaction start to finish any ai lab can now verify the legitimacy of any dataset in seconds, making us the first data marketplace in history to publicize its data audit records. consumer identities are fully anonymized and hidden, no users will be exposed in the process.

Avi Patel

44,231 Aufrufe • vor 3 Monaten