I made a simple starter web app in Node.js

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I have this problem every year or so; I want to create a web app that has the basics: a database, user sign in, runs on AWS, a templating engine, and has a small learning curve so that I don't have to learn five new skills and frameworks at the same time just to get started. But there's always a new javascript framework system to learn, always new little gotchas to get me, and always promising new concepts to wrap my head around... So I put together a very simple web app, with technologies that I understand: Javascript, jQuery, Node.js (basic knowledge), SQLite, and just one new thing to me: Passport, so that I don't have to write my own cookies etc for saving user login sessions in the browser. Code is here for download: https://github.com/tjacobs/Basic-Web-App-Template https://medium.com/@TomPJacobs/basic-web-app-template-30682de9a834 Even if it doesn't help you, I hope that next year when I have a new idea, this will save me many days of getting distracted going down shiny new software technology rabbit holes...

Visit product View on Hacker NewsNov 27, 2022

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

70%70% 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

50%50% 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: user, new, code · 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

38%38% 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

18%18% 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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