NextJS Starter Template

Hacker News

https://naskodaskalov.gumroad.com/l/VLOST Hi everyone, In the last couple of months in my projects I am mostly using NextJS as a starting point and then I am adding all other stuffs, like Firebase (or MongoDB, it depends of the project), TailwindCSS, Redux, NextAuth and everything else needed for the project. In the begining for these steps I was spending hours (to take the package, configure it, test it, then reconfigure again, test it again and at some point to see that it’s finally working). After so much friends asked me how I am starting my projects, what are the initial steps, I’ve decided to make a startup template with all needed to start a project as fast as possible and continue building the fun parts. To get access to the template, you can visit the Gumroad page https://naskodaskalov.gumroad.com/l/VLOST and order it. For now the price is $55. All future support of the template is included, so all buyers will get always the latest version. If you decide to give it a try, let me know what are your thoughts after you test it and of course if you are facing any issues — write me(naskogdaskalov@gmail.com) and I will help you.

Visit product View on Hacker NewsAug 18, 2021

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Actual performance

1points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

76%76% 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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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