DataGrout Frame
Columnar data ops for AI agents — filter, pivot, join
Votes
6
Comments
2
What this means
18Founder Conviction Index: 18 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
16%
today
Projected end-of-day votes
6range 5–8
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
1.3×
44 comparable launches
About
Frame is DataGrout's columnar data operations tool for AI agents. It filters, sorts, groups, pivots, joins, and slices tabular records directly as MCP tools. Agents today bloat context windows or need Python sidecars just to reshape data, Frame eliminates that entirely. Pure deterministic operations, no AI generation, no extra runtime, zero credit cost. Composes natively in DataGrout intelligence layer with cache ref support for large datasets.
Vote & comment velocity
Not enough snapshots yet. Run the snapshot worker every 15 min to build the time-series.
Scores
Velocity20.8
Vote pace vs avg
Momentum20.8
Sustained over 6h
Virality35.6
Spread × engagement
Engagement66.7
Comments per vote
