March Madness Tempo-Free Stats

Hacker News

This is a side project of mine combining two passions; sports and technology. http://madness.io/bracketology Tempo-free stats offers a better way to compare two teams without using traditional averages (such as points per game). For those of you interested in the tech, the stack includes MySQL, Couchbase, Redis, and a front-end stack of Rails and Foundation framework. There are some json endpoints as well in case any of you want to use the map-reduced stat data and hack away eg: http://madness.io/matchup/dae/vs/oad/1395332100.json and http://madness.io/players/1772.json I can expose more too if interested, just comment and let me know.

Visit product View on Hacker NewsMar 18, 2014

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% 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

32%32% 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

10%10% 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

Similar products

Poll Redis Stats to StatsD in Go43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Poll Redis Stats to StatsD in Go

Hacker News4

Urbit crowdsale stats38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Urbit crowdsale stats

Hacker News1

Clappr Nerd Stats38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Clappr Nerd Stats

Hacker News1

Covid-19 Stats39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Covid-19 Stats

Hacker News2

Urban Stats27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Urban Stats

Hacker News1

Flex Your HN Stats45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Flex Your HN Stats

Hacker News4

HN-Stats44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HN-Stats

Hacker News9

Stat Badger – Commodify Your Stats38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stat Badger – Commodify Your Stats

Hacker News2

NBA Name Stats23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NBA Name Stats

Hacker News1

FNBoosting53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free Fortnite Tools & Stats Tracker

Indie Hackerscommitment-full-time

Browse all products Analyze your launch