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Turf NFT Royalties

Hacker News

Turf NFT Royalties

Hi HN! We're excited to share with you that we've just launched an insanely great extension to our cartographic art project TURF: royalties. Whilst TURF's original cartographic art NFTs of every square of earth are available only once, owners can choose to allow their TURFs to be made available as prints on our website. When someone buys a print depicting the cartographic art of an owner's TURF, they get up to 10% of revenue as a royalty. After subtracting all costs, we get to keep about 10% of revenue ourselves. With this program, we hope to encourage TURF owners to spread the word about TURF amongst friends and family, as well as connect us to businesses who may want to gift TURF based artwork to their customers, event attendees or even loyal employees. We can't wait to see what happens next and are very curious what y'all think!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit
17%17% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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