Magic Spoon <> Uttam
Date: February 3, 2026 Source: Granola Meeting ID: 9bbb56f2-1c5d-4cc4-8f14-d374414a77b8 URL: https://notes.granola.ai/t/9bbb56f2-1c5d-4cc4-8f14-d374414a77b8
Participants:
- Uttam Kumaran (Brainforge)
- Justin Tabarini (Magicspoon)
- Mary (Magicspoon)
- Josh (Magicspoon)
- Michael Thorson (Magicspoon)
Summary
Data Mart Deliverable Feedback
- Friday delivery timeline issues
- Final CSV delivered 9pm Friday vs expected earlier completion
- Half-deliverable Wednesday didn’t include complete logic
- JT waited for full product before QA, causing delays
- Internal QA gaps identified
- Three logic discrepancies requiring clarification
- Missed entire channel in analysis
- Insufficient internal review before client delivery
- Process improvements agreed
- Book calls immediately when deliverables ready vs Slack back-and-forth
- Flag blocking QA requirements explicitly upfront
- Use preliminary reviews/co-development sessions for faster iteration
- Escalate review urgency when Friday deadlines involved
SPINS API Integration Challenges
- Unique technical difficulties vs typical APIs
- 26-week change window complicates data consistency
- Multiple aggregation options (1-week, 4-week, 12-week) with unclear differences
- Rate limiting requires custom Python looping through combinations
- Cannot create fixed reports - must call API for every combination
- Prefect orchestration tool limitations
- Required local testing setup causing engineering overhead
- Now resolved with Python pipelines running locally
- Next steps with SPINS support
- Schedule call with Ugo (product manager) for best practices guidance
- Michael to facilitate introduction and join call
- Document current API approach for their review and future documentation
Project Status & Next Steps
- Current progress
- SPINS pipeline ready for local testing and backfill
- Parallel development on DBT models while resolving data issues
- Good understanding of Prefect scheduling established
- Additional data sources discussion
- Costco requires regular + advanced technical data packages
- Magic Spoon uses scheduled reports + workflow automation (no API)
- Brainforge has experience with Uber Eats UI scraping, Browser Base for AI agents
- Potential to replace Gum Loop automations with code-based solutions