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Serverless Single Page Applications

Hacker News

Serverless Single Page Applications

Please check out out project, Lite Engine[1], a Backend as a Service web application platform. We provide everything you need to rapidly prototype and deploy your single page applications: static file hosting for your html, css, javascript and other assets, a subdomain on our site, security with https, and a 'create your own API' with SQL over CORS and JSON. I think of this as "geocities with a CORS backend". For your backend we've developed a system we call API Queries. You'll define SQL queries, save them on the backend, then execute them with http post requests that return JSON responses. There are obviously a lot of pros and cons to this 'stored procedure' approach. Please chime in with your thoughts below! Right now we're offering free accounts while we gauge interest. We plan to offer custom domains with paid accounts. What this means is when you signup for a free account, you will get a 'myapp.lite-engine.com' domain, with a paid account, we'll host your 'www.myapp.com' site, secured with Let's Encrypt certs. All feedback appreciated! [1] https://www.lite-engine.com

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
78%78% 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: single · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
34%34% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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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