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Thoughts as NFTs

Hacker News

Thoughts as NFTs

Howdy! As many have recently understood or discovered, NFTs usually don't contain the actual art work on sale, but rather just point to it. I've had a bit of a think on what "art work" could actually be stored inside the actual token , and thus "live" on the blockchain, and the obvious answer to me is: thoughts! You can put a thought directly into the token, and mint it as an NFT. Even the biggest thoughts are small enough to be stored directly on the blockchain. Based on this I have launched NFThoughts.com, and minted what I believe to be the first ever thought to be stored on chain as a NFT - https://opensea.io/collection/nfthoughts This is of course only half-serious, but it is also only half-joking, and I'd love to see what discussion ensues on the merits or idiocy of this idea :)

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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