Chrome extension for Fantasy Football

Hacker News

Link: https://chrome.google.com/webstore/detail/fantasy-finder/ebaejgmbadoagcjkhimjifjhlckdmmbi[1] We built a chrome extension that parses articles you read for fantasy football players, and shows the availability in your leagues. You can also quickly look to see if someone is available in your league, or which of the many leagues you play he is available in. Current Limitations: Chrome only. (adding FF soon) ESPN leagues only. (adding Yahoo! soon) This is similar to PickemFirst if you are familiar with them. We just finished this, but we plan to develop features that will hopefully make a better product so stay tuned to that. If you have any features you want to see or any bugs you may find or any commentary at all just leave a reply below or send me a PM directly. We would love any and all feedback.

Visit product View on Hacker NewsSep 17, 2013

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AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive

68%68% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

26%26% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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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