Service Builder – Build data access layer with SQL and JSON only

Hacker News

Hi NH, I have just published a milestone version of Service Builder in VS Code Marketplace. It is a tool for creating query, command and repository services in a few streamlined steps. For exampe, to create a query service, you would simply - specify the input and output of the service with plain JSON - write a plain SQL query to return the data set for populating the output, - click a button to generate the input and output bindings (data mappings) as JSON, and then - click another button to add a test to test the service you have just comleted. The service engine takes care of the object-relational transformation. You have the flexibility to go as complex as you need (really?) on the output. Give a try and let us know how far you go. BTW, just for the purpose of grilling the query engine, you can write a simple query but a complex output to test it out. It also helps me and probablly to everybody else, if you could share the most complex objects that you have done with ORM or raw SQL in your current or past projects. Thanks. Ken

Visit product View on Hacker NewsMar 14, 2023

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

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, plain · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% 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

24%24% 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

14%14% 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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