Show HN - SuggestMeLearn, My first web application

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- After starting and quitting so many times, I finally decided to start small project and created SuggetMeLearn - This is my first ever attempt to a complete web application - The idea is to - let people suggest the way they learnt a particular language or technology - let people seeking to learn decide based on the suggestion to pick resources and start learning rather than browsing through infinite search results. - people can vote if they think they also believe that a particular suggestion is a great resource(and suggestions are sorted by votes) - All suggestions are welcome. - URL : http://suggestmelearn.appspot.com/

Visit product View on Hacker NewsJan 19, 2012

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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% 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 HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% 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

42%42% 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

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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