The Softr Alternative for Teams Ready to Own the Whole Stack

Why the Airtable-plus-Softr stack starts to hurt

Softr's core promise is that you point it at an Airtable base or a Google Sheet and it renders a decent-looking front end in an afternoon. That works beautifully for a directory or a member portal. The structural problem is that you are now stacking one lock-in on top of another: the interface only runs inside Softr, and the data only lives inside Airtable's row-limited, non-relational store. Real application logic — anything beyond list, filter and display — hits a wall quickly, because a spreadsheet backing is not a relational database and a block builder is not a programming environment. When you need a genuine calculation, a multi-table workflow, or a rule that a template block simply does not offer, there is nowhere to write it.

• Your data is trapped in Airtable's row and record limits while your interface is trapped in Softr — two subscriptions, two ceilings, one product.
• The logic you need has outgrown what blocks and filters can express, and there is no code layer to fall back on.
• Per-published-app, per-user and per-feature pricing keeps pushing you into a higher tier as the portal gets busier.
• Every Softr site starts to look like every other Softr site because you are assembling the same library of blocks.
• A client or user wants a real app on the Play Store or App Store, and responsive web is all Softr can produce.

What Kashvi gives you instead

Kashvi is an AI builder you describe an app to, not a gallery of blocks you arrange over someone else's database. You write what you want in plain English and it generates a working product with its own self-contained Postgres database, real sign-up and login, a live preview you can click through, and the complete source code as a download you keep. That single difference dissolves the double lock-in: the data is a real relational schema you own, not rows rented inside Airtable, and the interface is standard code, not a rendering of Softr blocks. Because it is genuine code with real tables, the complex logic that Softr cannot express — calculations, multi-table relationships, conditional flows — is simply part of what gets generated. When an AI run fails, Kashvi refunds the credits it charged, so a bad generation does not quietly drain your balance.

How switching actually works

There is no button that reads a Softr site and reproduces it as code — anyone claiming a one-click Softr import is overselling. The honest route is a guided rebuild, and it goes faster than it sounds because you describe behaviour instead of re-wiring blocks. In practice teams move like this:

• List what your Softr portal does in a few plain sentences — the pages, the user roles, the data it reads, the payments it takes.
• Export your Airtable data to CSV so you have a clean copy of every record before you touch anything.
• Paste your description into Kashvi and let it generate the app, the Postgres schema, and authentication in one pass, then load your records in.
• Click through the preview, refine with follow-up prompts, download the code, and run it alongside the old portal until you are confident enough to switch off both subscriptions.

The India reasons that tip the decision

For an Indian team the maths gets sharper, because the pieces Softr leaves out are the pieces Kashvi treats as standard. Softr has no India rail: collecting money means bolting on a foreign gateway and reading a dollar bill that moves with the exchange rate. Kashvi wires Razorpay and UPI straight into the generated app and prices in INR, so a client portal can take a deposit or a subscription without a plugin hunt. The generated flows also fit how customers here actually transact — WhatsApp-style confirmations and GST-friendly invoicing — rather than assuming a Western checkout dropped onto an Airtable directory.