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Doculite – Use SQLite as a Document Database

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Doculite – Use SQLite as a Document Database

Hi! As I was working on a side project, I noticed I wanted to use SQLite like a Document Database on the server. So I built Doculite. DocuLite lets you use SQLite like Firebase Firestore. It's written in Typescript and an adapter on top of sqlite3 and sqlite. Reasons: 1) Using an SQL Database meant having less flexibility and iterating slower. 2) Alternative, proven Document Databases only offered client/server support. 3) No network. Having SQLite server-side next to the application is extremely fast. 4) Replicating Firestore's API makes it easy to use. 5) Listeners and real-time updates enhance UX greatly. 6) SQLite is a proven, stable, and well-liked standard. And, apparently one of the most deployed software modules right now. (src: https://www.sqlite.org/mostdeployed.html ) What do you think? Feel free to comment with questions, remarks, and thoughts. Happy to hear them. Thanks

Visit productView on Hacker NewsAug 7, 2023
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, 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
74%74% 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: using · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% 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.

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