taxonomy VS appsmith

I am building this app with inspiration from Taxonomy and Acme corp so a lot of the design comes from there.

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Now, I must confess that I'm primarily a back-end engineer, and crafting a beautiful front-end was, well, a bit of an adventure. To keep things straightforward, I opted for simplicity. I figured I could enhance it as my customer base grew, as the real value, of course, lies in the robustness of the API and its backend. Looking back, I might consider using a template like https://tx.shadcn.com/ if I were to start all over again. It appears to be a great starting point for any SaaS, but the setup might pose some challenges.

Check out these two GitHub repositories: https://github.com/sadmann7/skateshop/ and https://github.com/shadcn/taxonomy/. They both use Next.js 13 and have well-structured folders and well-written code. Next.js provides performance optimization. To improve it further, avoid loading unnecessary items and use a CDN for fast content delivery. Both not loading unnecessary content & lazy loading) and CDN is 2 individual topics to dive into.

I've also been inspired by this repo, but the Vercel template seems more achievable for me at this point.

In addition to the repository I mentioned in my original post, I've also been inspired by another repository (Taxonomy Repo) which has implemented a similar Stripe integration. However, this one is a bit more complex and I'm finding the Vercel template to be more achievable for my current skill level.

I'm currently working on a Next.js project where I'm trying to integrate Stripe for payments and webhooks. I've been following the Taxonomy GitHub repo for guidance, particularly for setting up the app router and the lib files.

appsmith — Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.

For instance, although we don't have a native signature capture widget (yet), you can easily build one with just a few lines of JavaScript, and the signaturePad.js library.

Effective communication and efficient meeting management are key to a team's success in the modern workplace. Recognizing this, we will develop an AI-powered meeting assistant app to transform Google Meet recordings into automatically generated meeting notes with key takeaways and action items. The blog post is tailored for every creator from developers to no-coders who are interested in the intersection of AI and productivity tools. It's particularly useful for those with limited AI-development experience and who want to build AI applications by using simple low-code tools like Unbody and Appsmith.

And if you don't need a mobile app and can get by with web only, check out Appsmith. It's open-source, can connect to Google Sheets, Airtable, and any API or database, and is free for unlimited users and apps. Feel free to DM me if you need a hand getting started with either one. I'm Joseph from the Appsmith Developer Relations team, and GreenFlux on the AppSheet forums.

Appsmith- Build build custom software on top of your data.

This wasn't an easy journey. While this functionality was in high demand, early versions were frustrating to use. In our earliest implementations, it wasn't even possible to pinpoint where the conflicts were in a file. Even members of the Appsmith development team would avoid using our early Git implementations. We even had a rule for our internal “Hackathons” that using the Git feature was banned because it kept breaking! So we know why other app platforms had avoided fully implementing Git: it really was a challenge to get it working right.

Suggest features and help to guide Appsmith’s future: Appsmith's community keeps us at the forefront of internal tools with feature requests for the latest third-party integrations and robust community support.

Ever tried building a responsive web application using AppSmith as the frontend and Baserow as the backend? Well, Frederik Duchi created a new set of videos showcasing the entire process! The videos include an interesting use case: reporting a nest of Asian hornets in an area. 🤯