Airforms – never build another CRUD app

Hacker News

Airforms is a database form builder. You can lower software development costs by using Airforms instead of developing custom CRUD applications to enter and update data. Airforms lets you build forms using a simple drag-and-drop interface. No coding skills needed. Airforms was built from the ground up to support relational databases. Joins and lookups, and query parameters including multi-valued and cascading parameters are supported. Airforms also includes a graphical query builder, and tools for browsing database schema, relationships and data. An automatic database diagram generator is also included.

Visit product View on Hacker NewsOct 25, 2022

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

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

63%63% 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: interface, builder · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

38%38% 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

23%23% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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