W8

W84it mindful consumption tool

Hacker News

W84it mindful consumption tool

https://w84.it is a budgeting tool for non-essential purchases based on the principal of delayed gratification. The goal is to help users keep a budget and avoid impulse purchases. By default users can only buy something when they have waited long enough to earn the allowance to get it but there is an option to allow for a negative balance. I made this over the past few weekends. I know that the login screen and frontend need a lot of work but I would appreciate any and all feedback. To give you an idea of what it looks like this is my current list: Daily allowance: $1.66 Total Saved: $10.23 * The End is Nigh - Nintendo Switch 12 days left * Cacao Chocolate Board Game 22 days left * Human: Fall Flat [Online Game Code] 31 days left * Trajan Board Game 62 days left Disclaimer: This site uses Amazon affiliate links. I'm hoping to earn enough to cover the hosting and the DNS entry and hopefully one boardgame per year ;-).

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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: ide, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, code · Missing: mac, agents, macos
20%20% 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
14%14% 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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