Co

ConfettiTherapy.com – I built it to get rid of stress and relax

Hacker News

ConfettiTherapy.com – I built it to get rid of stress and relax

The feedback I've had for it so far is mind blowing "I love it" "Oddly satisfying" "Satisfying" "Can't stop playing with this" "Nice" "You're crazy, well shipped" "Highly therapising process 10/10 would recommend!" "10/10 Internet" "Popped a few.. I feel happy now" "Gosh darn it. I feel better now." "Good app to end the day" "My work progress is wrecked from now on" "I will make it my routine to pop these at the end of each work day" ... and more! I submitted a form somewhere once and they showed me a confetti. Made me feel good. But to see it again I'd have to keep resubmitting the form - not a long term and sustainable solution, right? So I built ConfettiTherapy (.com) so we can all pop UNLIMITED confettis every single day

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Actual performance

8points
5comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% 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 · Strong signals: single, apis · Missing: mac, agents, macos
60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · 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
32%32% 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, 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.

Incorrect prediction on native model

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