Buidl Today: A dApp for betting against your procrastination

Hacker News

I am a DApp developer in Australia, and I made Buidl Today without funding or ICO. Buidl Today is a decentralised app that combines the technology of the Ethereum blockchain and principles of cognitive psychology to help people ship great work. You can use it to commit to doing tasks and have a friend or third-party review their timely completion. If you fail to meet your goal, the ethereum you staked can be withdrawn by a designated recipient. The app is currently desktop only, and it has been deployed on the Rinkeby test network. You can top up any browser wallet using free test Ethereum from the Rinkeby faucet. I’m excited to share it with the community, and hear what you have to say about it. Product page on Product Hunt: https://www.producthunt.com/posts/buidl-today Thanks!

Visit product View on Hacker NewsMay 27, 2018

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: tasks, using · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, 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: excited, io · Missing: https docs, just released, exist

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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

28%28% 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

18%18% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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