I'm building a stupid website called Would You Do It For A Dollar?

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I have had this idea for a while, for months if not longer, but I never actually implemented it. I was always busy with some other stuff. It's called "Would you do it for a dollar?". In simple terms: people can visit your profile and ask "would you ______ for a dollar?", like "chug a beer", "hit on someone", "french kiss person X"... Then you fulfill the request and earn $1. You need to reach the payout limit before being paid out. I was thinking about paying out in Amazon Gift Cards and via bank account using Stripe. A buyer still needs to purchase coins on-site which the seller can later convert to cash. It's all still work in progress Seems very unusual and interesting, but I feel like it will be abused, especially by requesting dangerous things, so it needs to be moderated. I started building some very simple MVP and registered a domain. If you want to subscribe it would be great https://wouldyoudoitforadollar.com/ Site is already semi-functional. You can register even via Twitter, FB, snap, Reddit, Google and Discord. I decided to kick it off and put myself out there, people can ask me if I would do something for a dollar, but I'll do it for free. If you want, try me out.

Visit product View on Hacker NewsApr 8, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

90%90% 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: google, stripe, using · Missing: mac, agents, macos

70%70% 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: month, google, way · Missing: mobile apps, ios, personal

40%40% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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