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The Fizz Buzz T-Shirt.

Hacker News

The Fizz Buzz T-Shirt.

It all started about two years ago. I went to an interview for web developer position. The person interviewing me made me very nervous, because he was kind of creepy. His first official interview question came in the form of good old Fizz Buzz. To my horror, I couldn't complete the exercise! I was too nervous to even think about code. To make a long story short, I did not get the job. Since that fateful day, I've been wanting to make a fizz buzz t-shirt to wear on interviews and hacker gatherings. This is my lean foray into finding out if this is something people wuld like to wear. I know I would, because it can be such a conversation starter between hackers. Since this is my MVP, I'm just testing out if there is demand for it. Whatever the outcome I will definitely share all of the data with hacker news, because we love data. If more than a $100 worth of tshirts is sold, I will donate 10% to whatever charity hacker news (as a community) chooses. Any charity. Go and check it out. Remember, this is my first MVP. Its a cool shirt. Its less than $25. You will get all the data from the experiment. If enough people buy a charity of your choice will receive 10% of the net profits. Link to store: http://www.cafepress.com/fizzbuzztshirt I will be reading feedback here, and through my email (check my profile). Note: This is an incredible leap of faith for me. I know people here are very supportive, but I don't want to come off as spammy. I'm just iterating through ideas here, no wish to spam or offend anyone.

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Actual performance

2points
4comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
94%94% 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 NewsStrong engagement from HN community · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
51%51% 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
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, email, code · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit · Missing: arr, mrr, revenue
18%18% 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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