Oblon – universal REST API server

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Oblon is a web server that gives you the capabilities to store and retrieve any (valid) JSON data, using the standard REST API (see below). You can imagine Oblon to be one big JSON file that you can manipulate partially or at once. It doesn't have a schema and it can change its structure on the fly. All the data is persisted using a single SQLite database. You can think of Oblon as local Firebase database (the original one) that is stored in SQLite (which makes it easy to backup, restore, administering, etc. The easiest way to play with it is to use the docker image: docker pull ghcr.io/vtashkov/oblon:latest docker run -p 80:80 -v $(pwd)/data:/data -it --rm ghcr.io/vtashkov/oblon:latest From there on, you can use the standard REST http methods to store and retrieve data - GET, PUT and DELETE are supported for now. You can check out the whole documentation here https://vtashkov.github.io/oblon/ This is very early version, more like proof-of-concept. I would be very grateful if you provide me with any feedback, requests that will make Oblon useful for you and anything about it. This is of course version for evaluation purposes only. In the future, if it proves itself worthy, my plans are to make it free for any development purposes and only ask for commercial license if it goes to commercial production. Feel free to ask any questions or give any comments to me: vtashkov(at)gmail.com

Visit product View on Hacker NewsJun 20, 2022

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

84%84% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: dock, single, using · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% 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

31%31% 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

12%12% 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.

Incorrect prediction on native model

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