CodeScoper - Search Google by language/framework releases

Hacker News

A coworker and I had this idea and it was something I threw together in a few hours. I am looking for feedback as to whether anyone else may find it useful. The idea is that when troubleshooting code for languages/frameworks you more often than not will want to limit your search results to only be relevant to the dates for the release you are using. CodeScoper (alternative name suggestions highly encouraged) solves that by letting you choose a framework or language, a release version or span of versions and a query which will then send you to google results with the date ranges specific to what you chose. Any and all criticism is highly appreciated. If it is found useful then I'll spend some more time updating the user experience and adding in a bunch of different frameworks/languages/releases.

Visit product View on Hacker NewsJul 29, 2013

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, using · Missing: mac, agents, macos

82%82% 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.

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

49%49% 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: ide, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% 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

28%28% 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

14%14% 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.

Correct prediction on native model

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