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Draft Party – The game I built because the New England Patriots suck

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Draft Party – The game I built because the New England Patriots suck

Since 2019 my friend (a Broncos fan) and I (a Patriots fan) have played a game on NFL draft night where we try to predict the first round of draft picks. The original game was built with a very delicate spreadsheet with 200+ line equations involving dubious scoring math. But we enjoyed the game nonetheless and have always pondered out loud "There should be an app for this". The wonderful thing about following an unwatchable team like the recent Patriots is that I have so much more time on my hands. 3 hours every Sunday and no playoffs to boot! I took advantage of the time, turned off yet another "draft talk" podcast and slogged away on Draft Party, replacing those dubious spreadsheet equations with real code. I built Drafty Party for myself and my friends but I also built it for other Patriots fans and fans of bottom dwelling teams everywhere. When your team sucks, you need hope and the draft represents hope. And when your team's front office also sucks at drafting and stomps that hope into the ground, you can at least have some fun among friends.

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos
74%74% 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: io · Missing: https docs, excited, just released
66%66% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% 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
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
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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