cofounder-watch
Skill6 starsChanged 2 months agoMITView on GitHub
Watch a live lead funnel with a zero-token dispatcher and surface salient events as short advice: replied but no scheduling link, link sent with no booking in 24h, awaiting reply. Deduped so it never nags twice, and read-only. Triggers: "/cofounder-watch", "what does the cofounder see", "funnel signals".
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The file
Files
/cofounder-watch — Phase 0 ambient cofounder (ping-only)
🧒 When reporting to a non-technical operator: finish with a child-simple "In plain words" recap in their language. Not inside the cofounder advice itself. 📖 Canon: [[decision-realtime-cofounder-2026-07-02]]. This is the EYES + filter of the real-time cofounder (Phase 0). It sends nothing — it only highlights.
What it does
A deterministic signal-dispatcher (0 tokens, stdlib only): reads the live funnel tg_followups.json → classifies salient events (the same rules as /pipeline) → dedups through cofounder_ledger.json (never pings twice) → writes a digest + an HTML dashboard. Silent when there are no new important events — that is the whole point: do not nag.
How to run
python "$IMPORTS_ROOT/cofounder/cofounder_watch.py" --stdout
- Flags:
--stdout(print the digest),--reset(clear the ledger → re-alert everything). - Outputs: digest
$IMPORTS_ROOT/cofounder/cofounder-digest.md; dashboard$OBSIDIAN_VAULT/_Dashboards/Cofounder-Watch.html(the operator works visually).
Salience (rules = /pipeline priority)
- 🔥 HIGH — they replied, Calendly NOT sent → "send the Calendly now".
- ⏰ MEDIUM — Calendly sent >24h ago, no booking → "booking nudge".
- 👀 LOW — pitch sent, no reply → "check inbound / follow up / drop".
- booked/confirmed → skipped (we do not re-pitch).
Boundaries (Phase 0)
- Ping-only — it NEVER messages leads. Actions are executed by the operator (or via
/pipelinedraft→approve). Human in the loop. - 0 tokens — the advice is templated from the rule. The LLM persona
/cofounderfor nuance is Phase 0.5 (later, HIGH events only). - Empty ≠ broken: "silent" is a valid result.
Next (Phase 0.5 / 1+, on the operator's greenlight)
- Delivery into a Telegram signal chat (once the MCP is alive) instead of a file + dashboard only.
- Scheduling on the HUB (always-on
HUB-1) 2-3x/day — this is background work, so it belongs on the hub, not the laptop, via/scheduleon the hub or the machine bus. Being lightweight (0 tokens), daytime runs are fine. - Phase 0.5: HIGH events → the LLM persona
/cofounder(top model) for nuanced advice. - Phase 1: + urgent VC email + calendar conflicts (same mailbox + ledger).
- To extend it, add a source to the SAME dispatcher; do NOT breed watchers ([[telegram-eventloop-listener]]: one live client, the AUTH_KEY pitfall).
<!--kit-footer-->Like this skill? It is one of 100 in second-brain-starter-kit: the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with npx skills add tonydzi/second-brain-starter-kit. Everything is open source and free, so take what you need.
Flagships worth a look on their own: secondop-panel (a second opinion from a panel of external models), claude-memory-tidy (stop your agent's memory from rotting), telegram-mcp-kit (your own Telegram over MCP in about 15 minutes).
Author: Anton Dziatkovskii, Palo Alto AI Research Lab. Telegram @tonydzi - WhatsApp +1 341 222 9178 - X @Tony_Stef_
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