Sales prospect radar

TiDB/sys9 Prospect Radar

A replayable ranking packet for deciding who should hear the TiDB/sys9 pitch first: agent app builders, coding-agent platforms, support agents, enterprise work AI, and warm TiDB accounts.

Inspect ranking Read field note

Replay command python3 scripts/tidb-sys9-prospect-radar.py --write

Public sources collected July 15, 2026. The data module and JSON report are generated from the same source packet.

Prospects 20

ranked with source evidence

First wave 0

highest outreach urgency

Top target Loading

score-weighted first ask

Engine pandas

deterministic Python packet

Scenario controls

Adjust the outreach model.

The default model favors agent-runtime pressure, tenant database pressure, live memory, SQL/vector fit, budget, partnership leverage, competitive gap, and warm path.

Lane

Minimum score 0

Packet ready.

Stack rank

Highest reach-out potential first.

Default ranking is generated from the source packet. Changing weights re-sorts the visible queue locally.

Lane

Loading prospect

0.0 tier

Motion
Why now
First ask

Sales packet

Separate the sys9 opener from the TiDB opener.

The first message changes by buyer. App-agent and coding-agent platforms should hear about forkable runtime first. Enterprise support, legal, and work-AI buyers should hear live database memory first.

Receipts

Public evidence used by the model.

The packet is not a private CRM guess. It starts from public TiDB, sys9, customer, AWS, and prospect product pages, then stores the scoring assumptions in git.