Comparison
Flitch vs Lovable
Two tools that turn a prompt into a web app. Both build apps that hold data; the difference is whether the data is new or already exists somewhere.
Which should you choose?
Flitch is the better choice when the app reports on data you already have: 61 analytics integrations with scheduled refresh and a semantic layer, so a Xero or Postgres dashboard is a connection rather than a project. Lovable is the better choice for anything with real application logic, since its Cloud backend, auth and payments go far past what Flitch can build.
Checked against both products on .
Flitch vs Lovable at a glance
| Flitch | Lovable | |
|---|---|---|
| What it builds | Data apps: dashboards that also collect and store data | Any web app: products, tools, sites, dashboards |
| Output | A web app as code you can edit | A web app as code you can edit |
| Backend | Managed. Input tables are created with the dashboard | Lovable Cloud: database, auth, storage, edge functions. Or your own Supabase |
| Entry price | Free tier, then $20/month flat | Free tier, then Pro from $25/month |
| How AI is metered | Credits at $0.10. The plan fee is the allowance: $20 buys $20 of AI | Build credits, 0.50 for a simple task up to 1.70 for a complex one, plus Cloud credits |
| Free tier | 40 credits/month, 100 dashboards, 10 integrations | 5 build credits a day, up to 30 a month, plus 20 Cloud credits |
| What the connectors are for | Reporting: pull structured data on a schedule and chart it | Doing: send Slack messages, take payments, sync a CRM, run workflows |
| Reading existing business systems | 61 integrations, 18 databases and 3 warehouses, queried directly | A connector catalog with OAuth handled, plus 400+ tools via n8n |
| Keeping that data current | Scheduled refresh, down to every minute | You build the sync |
| How the numbers are computed | Generated SQL, aggregated at the source, so the database does the work | Whatever you write. Aggregation, caching and correctness are yours |
| Semantic layer | Yes, relationships and calculations | No |
| Ask AI for viewers | Yes, on published dashboards, no account needed | You build it |
| Storing data the app collects | Input tables, created with the dashboard, with an audit trail | A full database you define, with migrations |
| Auth, payments, workflows | No | Yes, and it is the point of the product |
| Costs beyond the sticker price | None. Credits are the whole bill | Cloud credits as the app runs, on top of the build credits |
Are these even the same kind of tool?
Closer than the categories suggest. Both take a prompt and produce a real web app as editable code, and both build apps that hold data: Lovable through its Cloud backend, Flitch through input tables that are created with the dashboard and take entries from signed-in viewers, with every change attributed and deletes recoverable. The difference is range against depth in one direction. Lovable will build a CRM, a booking system or a marketplace, with auth, payments and workflows, and Flitch will not. Flitch goes deeper on one thing: reporting on data that already exists somewhere else. Ask Lovable for a sales dashboard and it will build a good one. The question is what happens when it has to read your accounting system and still be right next Tuesday.
Both have connectors, so what is different about them?
What they are for. Lovable has a connector catalog and handles the OAuth, covering tools like Slack, Notion, HubSpot and Google Workspace, with Stripe for payments and 400+ services through n8n. Those connectors let an app act: send the message, take the payment, push the record. Flitch’s 61 integrations exist to report. Connecting Xero gives you invoices, payments and bank transactions as datasets that refresh on a schedule and resolve through a semantic layer, so a chart built on them stays right as the data moves. Connecting HubSpot in Lovable lets your app write a deal; connecting it in Flitch gives you the pipeline to chart. So it is not that Lovable cannot reach your systems. It is that turning a reached system into reporting that stays accurate, with refresh, aggregation and consistent definitions, is the part you would build yourself.
How do the prices and credits compare?
Closer than you might expect, which makes the capability difference the deciding factor rather than cost. Lovable is free to start, with a daily grant of 5 build credits capped at 30 a month plus 20 Cloud credits, then Pro from $25 per month in tiers by credit volume. Building costs roughly 0.50 credits for a simple task, 0.90 to 1.20 for a moderate one and 1.70 for a complex one. Flitch is free with 40 credits a month, then $20 per month flat for 200 credits, and the plan fee is the credit allowance: $20 of plan is $20 of AI, charged in $0.10 increments with no markup on the model cost. Neither is obviously cheaper. Pick on what you are building.
Which produces a better dashboard?
Flitch, though not because Lovable is bad at interfaces. Lovable is generating a dashboard from general knowledge of what dashboards look like. Flitch is generating from a semantic layer that knows your entities, their relationships and your calculations, against data it already holds, with the chart conventions and layout patterns of the format baked in. Practically, that shows up in the unglamorous parts: correct aggregations, sensible date handling, filters that mean something, a refresh that actually runs. Lovable will get you something impressive quickly; keeping it correct as the underlying data moves is where the work reappears.
Could you use both?
Sensibly, yes, and for a lot of teams that is the honest answer. Lovable for the product or internal tool, Flitch for the reporting on top of it. They do not integrate, so this is a division of labour rather than a workflow, but it beats forcing either one into the other role. Using Flitch to build a customer-facing product is impossible, and using Lovable to maintain the reporting layer over six data sources means building a small data platform by hand.
Choose Lovable if
- The app needs auth, payments or workflows, which Flitch does not build
- You want one tool for a product, a site and an internal tool
- You need a database you define yourself, with your own schema and migrations
- The app has to act on other systems, not just report on them
- Reporting is a small part of what you are building
- You want to bring your own Supabase project
Choose Flitch if
- The app reports on data that already exists in Stripe, Xero, HubSpot, a database or a warehouse
- You want that data refreshed on a schedule without maintaining a pipeline
- You want a semantic layer so metrics mean the same thing across dashboards
- You want viewers to question the data with Ask AI, without an account
- You need the app to collect data too, through input tables, with an audit trail
- You are not a developer and never intend to become one
Flitch vs Lovable FAQ
Can Lovable build a dashboard?
Yes, and a good-looking one, and it can reach your tools: it has a connector catalog with the OAuth handled. What it does not have is scheduled refresh, aggregation or a semantic layer, so keeping that dashboard accurate as the data moves is work you design and maintain.
Can Flitch build an app, or only dashboards?
It builds data apps. Alongside the charts, input tables let people enter and edit records in the published dashboard, with every change attributed and deletes recoverable. What it cannot build is custom auth, payments or workflows, so a CRM, a booking system or a customer-facing product is Lovable’s job.
Which is cheaper?
They are comparable. Lovable is free to start, then Pro from $25 per month tiered by credits. Flitch is free with 40 credits a month, then $20 per month flat for 200 credits, where the plan fee is the credit allowance. The choice should turn on what you are building, not price.
Do both give you the code?
Yes. Both generate a real web app as editable code rather than a report on a fixed canvas, which is the main thing separating either from traditional BI tools.
What about keeping the data fresh?
Flitch refreshes connected sources on a schedule, down to every minute on paid plans, and the dashboard reads the refreshed data through a semantic layer. Lovable can reach the same systems through its connectors, but scheduling the pull, storing the result and keeping aggregates correct is something you build.