Smarter Market Research for Supabase Teams
Turn Market Research into a background job. Arahi AI agents use Supabase to execute on your behalf, 24/7.
Brief drafted — 12 sources cited. Action items pulled:
Meeting notes
- • Lindy launched a $99 starter tier — undercutting our Pro by $50.
- • Relay shipped a Slack-native agent builder; demo gif on landing page.
- • Stack AI raised $25M; expect aggressive ad spend through Q2.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the meeting transcript end-to-end
- 2Extract decisions, commitments, and next steps
- 3Update the deal record and advance the stage if criteria met
- 4Notify the right teammate with the relevant context
Get started in three steps
Connect Your Supabase Database
Authorize Supabase with secure credentials. Arahi AI maps your schema and tables automatically.
Configure Data Sync Rules
Define which Supabase records trigger AI actions — new rows, updates, or scheduled queries.
Automate & Validate
AI keeps Supabase data clean, synchronized, and flowing to downstream apps. Monitor sync health in real-time.
Lindy launched a $99 starter tier — undercutting our Pro by $50.
Action items extracted; assignees notified in Slack.
Three deals moved to next stage; risks flagged for the AE.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Agent2:47 PM
Updated Notion · Compete tracker with the meeting outcome.
- Agent2:46 PM
Advanced deal stage; the criteria for Proposal were met.
Reason: Budget confirmed and decision-maker identified per stage definition.
- Agent2:45 PM
Wrote meeting notes for Competitor brief · Week of Mar 10.
- Agent2:44 PM
Read the transcript and extracted action items.
- Agent2:30 PM
Triggered by call end event in Granola.
Frequently asked questions
Arahi AI connects natively with Supabase to handle the full market research workflow. The AI agent monitors Supabase events, processes market research tasks automatically, and writes results back to Supabase — no copy-pasting or tab-switching required.
Manual market research in Supabase requires constant tab-switching, copy-pasting, and follow-up tracking. Arahi AI eliminates this by handling market research tasks in real-time as Supabase events occur — running 24/7 with consistent accuracy and zero fatigue.
Yes. The market research agent connected to Supabase simultaneously interacts with 1,500+ other apps — CRMs, databases, email platforms, and more. A single market research workflow can pull data from Supabase, process it, and push results to multiple destinations.
Yes. You can run market research workflows in test mode using sample Supabase data before activating on live records. This lets you verify every market research rule works correctly with your Supabase setup before processing real data.
Yes. You can create parallel market research workflows that respond to different Supabase events or conditions. For example, one market research flow for new Supabase records and another for updated ones — each with independent rules and actions.
The Supabase integration automates end-to-end market research — including data capture from Supabase, validation, routing, follow-up actions, and status updates. Every market research step that touches Supabase can be handled by the AI agent.
Most users connect Supabase and launch their first market research automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure market research-specific rules through a visual no-code builder.
The dashboard shows market research-specific metrics for your Supabase integration — tasks processed, average handling time, success rates, and escalation frequency. You can track how Supabase-triggered market research workflows perform over time.
Arahi AI connects to Supabase via one-click OAuth, then runs market research workflows that read and write Supabase data on a schedule or in response to triggers. You configure the rules once; the agent executes market research across every relevant Supabase record without developer involvement.
Supabase holds the data; AI supplies the judgment and throughput. Together they turn market research from a manual, inconsistent process into one that runs at machine speed with a consistent quality bar — freeing your team to focus on the Supabase-adjacent work that genuinely needs human attention.
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