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NFTDropper – Launch NFT Drops Effortlessly
Hacker NewsNFTDropper – Launch NFT Drops Effortlessly
Hi Hacker News, excited to share my product NFTDropper ( https://www.nftdropper.app/ ), which lets creators launch NFT drops effortlessly. Here's a sample drop you can check out! Prices are set extremely low for testing: https://nft-dropper-staging-web.herokuapp.com/drop?link_id=c... I'm looking for creators that would like to launch drops -- you can drop your email below or register at https://www.nftdropper.app/register (it's a closed beta right now)
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1points
Did not reach leaderboard
Launch Intel predictions
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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, hacker news · Missing: https docs, just released, exist42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, email · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% 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, crypto9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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