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Fantasy Football for the Playoffs

Hacker News

Fantasy Football for the Playoffs

A friend of mine (and others I know) has been running this playoffs fantasy thing for years out of a spreadsheet. I decided to turn it into a website for the masses. It's built with Svelte (kit), Firebase, and Tailwind. This has been my go-to stack lately. Very enjoyable! Check it out and let me know if you understand what the game is and of course if you want to create a pool, go for it! Please don't go creating test pools, though. You won't get to see any additional info for doing that since the views are locked down until the playoffs start and you'll need real entries to monitor along. There's a demo of the core lineup building experience built-in if you want to play around. Thanks!

Visit product View on Hacker NewsJan 9, 2024

Actual performance

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Did not reach leaderboard

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

62%62% 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

46%46% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

39%39% 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

32%32% 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

19%19% 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.

Correct prediction on native model

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