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Flow State Coffee

Hacker News

Flow State Coffee

Hey everyone, A friend and I made this coffee for creativity and productivity. It’s specialty grade coffee with L-Theanine and Raw Cacao meant to lower anxiety, improve brain function and support an optimal ‘flow state’ We launched pre-orders ( https://noowave.co/ ) recently and are looking for feedback from people who love performance enhancing coffee :) We’re very much building our company in public ( https://noowave.co/blogs/news ) if you want to subscribe to our newsletter of follow my cofounder on twitter @sfwgreg ( https://twitter.com/SfwGreg ) Feedback/comments/ideas appreciated!

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Actual performance

13points
3comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
33%33% 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
16%16% 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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