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Nifty Gifts - Share your Unique Gift Ideas To Help Each Other Out

Hacker News

Nifty Gifts - Share your Unique Gift Ideas To Help Each Other Out

I'm sure everyone has this problem, most of my friends have a lot of cool stuff already so I'm always on the lookout for nifty gift ideas. I came across these hand-made little sound devices which is a cool gadget for both kids and adults with music/sound interests: https://www.etsy.com/shop/brandnewnoise?ref=l2-shopheader-name Anyway, was wondering if others have found unique gifts that they would like to share with everyone, it's hard to find good gifts for our loved ones so let's help each other out!

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
59%59% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
44%44% 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
40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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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