low cortisol trading @villagersdao / @etherus_io

on-chain
Joined March 2021
our order book of active companies purchasing consumer data has 8x'd in size over the last 14 days
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nat3 retweeted
Over the weekend, Kled received a complex multichannel Korean audio task from one of the frontier labs. Within 48 hours, it was live in the Kled app. We are now sourcing thousands of Korean speakers to produce millions of hours of multichannel audio. The spec calls for per-speaker isolated channels, speaker attribution, persistent speaker IDs across recordings, a five-hour capture limit per speaker, 16 kHz+ audio, and documented consent for AI training use. Available today on iOS: apps.apple.com/us/app/kled/i…
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A friend of mine is making $10M / month right now going to restaurants, hotels & construction companies in New York and brokering their data to AI labs. Was a generational opportunity to start a company like this during late August - start of October. Seems like this inefficiency is about to be aggressively corrected by companies like Kled.
the kled marketplace is now live: kled.ai/datasets labs can request and browse datasets from the kled contributor network and a curated network of enterprise partners.
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nat3 retweeted
the kled marketplace is now live: kled.ai/datasets labs can request and browse datasets from the kled contributor network and a curated network of enterprise partners.
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The constraint on AI isn't compute. It's high-signal data that hasn't already been scraped. Phase 1: the data application layer. 600,000+ contributors and counting. Phase 2: our own models, trained on our data alone, tested against closed SOTA on complex human tasks. That's where we are now. The data moat is real. The benchmarks show it. We're hiring Research Scientists to scale the training runs, evals, and model architectures. Apply here: jobs.ashbyhq.com/kled-ai/6e9…
Introducing Kled Labs. Every major AI model learned from the internet. We're betting on people instead. One goal: train our own models to beat closed models at important human tasks, using our data alone. All data is sourced from our data application layer and our network of 600,000+ contributors. We're hiring: jobs.ashbyhq.com/kled-ai/6e9…
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nat3 retweeted
Lullaby in Trapland
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This is why solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm is the most asymmetric bet onchain right now. The moat is proprietary, real-world data that other labs can’t easily capture. A customizable mobile app, available globally, that turns human data collection into a scalable procurement layer is the network effect that doesn’t exist elsewhere. BTW 5% of @useKled equity is tokenized, with the token also set to integrate into the mobile app to create a flywheel for holders and users. You can still be unbelievably early, for now. Tick tock.
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
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nat3 retweeted
Introducing Kled Labs. Every major AI model learned from the internet. We're betting on people instead. One goal: train our own models to beat closed models at important human tasks, using our data alone. All data is sourced from our data application layer and our network of 600,000+ contributors. We're hiring: jobs.ashbyhq.com/kled-ai/6e9…
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Kled AI is extremely overlooked: AI data collection platform on the DATA Network reporting 1.5B+ uploads, 5M+ per day and millions in revenue. @useKled pays people for photos, videos and targeted tasks, supplying AI labs with real-world training data, including household footage for physical AI.
Math isn't mathing here
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ETH to 10k.
long privacy & AI agent platforms on ETH season vitalik is back.
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“it’s SI, no it’s AI, no it’s INU. no, wrong image. no, wrong ticker. no, wrong name. wrong link. wrong photo. no, it’s this one. no, it’s OG. no, it’s holders rewards. no, fees are going to him. no, it’s on STONKFun. no, it’s on PumpFun.”
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introducing kled studio. coming soon to desktop. a playground for ai labs to explore marketplace data, evaluate their own models, and collect what they need next. create custom tasks and deploy them directly into the kled app, targeting contributors by demographics and psychographics.
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general catalyst backed a copycat with $31m and kled drops this 500k contributors. 8 million datapoints a day. imagine raising 3x the money just to watch this shit hit your timeline generational mog
🤝 Paid partnership
This is Kled V3. We've solved data collection for artificial general intelligence. Any consumer dataset that can exist, can now be collected from physical reality in under 72 hours. All powered by the largest and most comprehensive data application layer on the planet. (Thread)
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This is Kled V3. We've solved data collection for artificial general intelligence. Any consumer dataset that can exist, can now be collected from physical reality in under 72 hours. All powered by the largest and most comprehensive data application layer on the planet. (Thread)
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the data collection layer for agi. data is the new oil. solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm
say hi to kled v3, the data collection layer for agi. any dataset a lab can describe, collected from the real world by 500,000 people in under 72 hours.
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Let's win. solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm
This is Kled V3. We've solved data collection for artificial general intelligence. Any consumer dataset that can exist, can now be collected from physical reality in under 72 hours. All powered by the largest and most comprehensive data application layer on the planet. (Thread)
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Here’s my bear, base, and bull case for @useKled’s token valuation. solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm The last fundraising round valued the company at ~$300m. With what will ultimately become, likely, 10% of the company’s equity held in an SPV by @StreetFDN , I’m going to use that valuation/ratio as a starting point. solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm will also be used within the application as an incentivization mechanism, which should create buying and burning of the token, along with the potential for other revenue-driven buybacks. Taking those forces together, I’m assigning solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm a 12.5% ratio to the company’s valuation. That doesn’t account for the potential premium the token could eventually receive because of its lindy-ness within the Solana ecosystem as the company that ‘made it’, or because the market begins valuing the token based on the company’s future private-market valuations. Bear Case… $125m The last round was approximately $300M, and that finalized before Kled had 500,000 users. We don’t know the exact number of users today, but I’d imagine they’re approaching 700–800K. And they’ve done that while being essentially radio silent on socials & no paid marketing. If @avipat_ can leverage the rest of Q3 and Q4 to drive significant new user growth with the newest version of the Kled app, while also going on the road and talking to AI labs about financing the various data-collection tasks they need completed, I think Kled, the company, could reasonably reach a $1B valuation (3x from last round) within the next 30–45 days if everything goes smoothly. Using my 12.5% framework, a $1B company valuation would imply a $125M Kled token market cap. Base Case… $500m My base case is a $500M kled token market cap, which would imply a company valuation of a little over $4B under the same framework. For that to happen, kled would probably need to acquire 1m+ users, land low-nine-figure fundraising/deal volume from AI labs and demonstrate genuine product-market fit, specifically, that these labs have a strong desire to acquire private data at scale and are willing to deploy significant capital to do it. If kled gets there and the company reaches the $4–5B range, I think the token could begin trading at a premium to the simple 12.5% framework. That puts solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm somewhere in the $400–500M+ market-cap range, which I don’t think is unreasonable when you consider what the onchain market has historically been willing to assign to complete scam tokenized AI projects. Bull Case… $2.5 bn The bull case is that Kled becomes a $10B+ company over the next year or two, pulling in hundreds of millions of dollars of capital from AI labs to build one of the largest private-data collection businesses in the world. The app explodes on the App Store. Kled becomes the Uber of private data. And at that point, I think holding the Kled token could become a cultural phenomenon, almost memetically, because it would represent one of the first opportunities for regular people to get exposure to a highly viral mobile app and its ecosystem before the company ever goes public. In that scenario, I could see the solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm token reaching a $1–4B market cap. And even at those valuations, it still wouldn’t be beyond the historical peaks we’ve seen from various meme coins. The sky is truly the limit here. Honestly, I think these valuation targets are relatively conservative when you compare them with what other crypto projects have achieved over the last decade. But regardless of whether you agree with my specific numbers, I think this provides a useful valuation barometer for thinking about Kled: $1B company → ~$125M token $4–5B company → ~$500M token $10B+ company → $1–4B token, depending on the premium Curious what you guys think.
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AI this SI that, all this intelligence runs on data. unique data sets make this tech evolve. labs are amassing absurd amounts of data to train their models on. data is the new oil. solana:1zJX5gRnjLgmTpq5sVwkq69mNDQkCemqoasyjaPW6jm
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