No

No-code alternative to Retool, Appsmith, Internal, etc.

Hacker News

No-code alternative to Retool, Appsmith, Internal, etc.

Hi, founders! We’ve actually launched quite some time ago, but (semi)pivoted a few times along the way. Jet Admin is an app builder for creating internal tools, admin panels, dashboards, external portals, and so on without coding. You can connect to any backend, assemble a UI through the visual builder, and set up data binding, transformations, conditionals, etc. through the point-and-click interface. If you need to, you can create custom HTTP, SQL queries, make data transformations with JS, and embed custom UI components. We believe that product, data, operations teams should be able to build the very tools they use. And with HN being mostly the coder community, it’d be particularly interesting to hear your feedback/thoughts!

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, visual, coding · Missing: mac, agents, macos
96%96% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, 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 · Strong signals: apps, way · Missing: mobile apps, ios, personal
33%33% 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
21%21% 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.

Correct prediction on native model

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