SQL Back End for the Static Web and Mobile Apps

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A while back I implemented the functionality to store and execute SQL via HTTP POST requests and CORS, and getting a json result back. I found this to be really useful for things like posting forms, gathering custom analytics, even implementing SPA's. So I spent the past few months "productizing" it. Now I'm looking for Beta testers and validation of the concept. Is this something you might find useful? Note: I am keeping with the advice "if you're not embarrassed by the first release, you waited too long", I know it's rough, I welcome criticism and feedback! https://www.lite-engine.com

Visit product View on Hacker NewsJun 11, 2016

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

62%62% 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 HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: mobile apps, apps, month · Missing: ios, personal, entrepreneurs

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

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.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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.

Incorrect prediction on native model

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