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Pimp Analytics

Make your Google Analytics stand out with Pimp Analytics. Put any 7 letter isogram in the input boxes below and create your own custom GA snippet. From Wikipedia's article on isograms: "An isogram (also known as a 'nonpattern word') is a logological term for a word or phrase without a repeating letter". Enter non-repeating alphabet [a-z] letters. Note: uppercase letters will be automatically transformed to lowercase. Note: Entering numbers will break your code as per the JS syntax: http://pimpanalytics.ga/ An example: (function (m,a,c,k,i,n,g) { m['GoogleAnalyticsObject'] = i; m[i] = m[i] || function () { (m[i].q = m[i].q || []).push(arguments) }, m[i].l = 1 * new Date(); n = a.createElement(c), g = a.getElementsByTagName(c)[0]; n.async = 1; n.src = k; g.parentNode.insertBefore(n, g) })(window, document, 'script', '//www.google-analytics.com/analytics.js', 'ga'); ga('create', 'UA-66070213-3', 'auto'); ga('send', 'pageview');

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: google, new, code · Missing: mac, agents, macos
65%65% 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
54%54% 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
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
36%36% 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
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
18%18% predicted probability of success on BetaList, 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.

Incorrect prediction on native model

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