Interesting that Airtable still comes up as a CRM option. I’ve run into scaling issues there once we passed 10k records. Any tips on how AI agents can help mitigate that limitation?
You’re right! Airtable starts to choke beyond 10k–20k records. What we usually advise is to keep Airtable as the front-end “UI database” and push the heavy lifting into a Postgres or BigQuery backend. The AI agent then syncs or summarizes data back into Airtable for visibility. That way you keep the flexibility while avoiding performance bottlenecks.
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Interesting that Airtable still comes up as a CRM option. I’ve run into scaling issues there once we passed 10k records. Any tips on how AI agents can help mitigate that limitation?
You’re right! Airtable starts to choke beyond 10k–20k records. What we usually advise is to keep Airtable as the front-end “UI database” and push the heavy lifting into a Postgres or BigQuery backend. The AI agent then syncs or summarizes data back into Airtable for visibility. That way you keep the flexibility while avoiding performance bottlenecks.