Simple lead stores beat premature CRM complexity

Lead capture does not need to start as a full CRM.

For early products, a .csv, Google Sheet, SQLite database, JSON file, or PocketBase collection can be enough.

The important part is ownership of the loop: capture the lead, inspect the data, verify the email, enrich the record, export when needed, and feed outreach.

SQLite is especially useful when the app already needs a small backend.

It keeps lead data close to the product, supports real queries, and can still export to CSV for Listmonk, Smartlead, manual review, or a later CRM.

Start with a store you can understand and migrate later.

Related:

• Any SaaS needs this: Leads and a UI
• A boilerplate to create Landings for lead generation.
• Landing and more for Real Estate
• Astro Landing Page + signup/in via FastAPI x sqlite x Admin panel
• Email APIs are product infrastructure
• Email verification protects the pipeline
• Simple waiting list repo
• Make Landing repo
• DIY Landing email form
• DIY Landing Mailtrap change request
• PocketBase Docker config
• Py Speech Rater repo
• Py Speech Rater dev compose
• Py Speech Rater architecture doc
• ChartDB Docker config