A tool that watches for you

Something that watches for you. Support tickets, sales calls, competitor moves, and metric shifts pushed to you as a digest, instead of pulled by hand when you remember.

Why it’s a separate category. Every other tool answers a question you asked. This one raises questions you didn’t know to ask. A PM’s biggest misses are rarely bad answers; they’re things nobody looked at until a customer left or a competitor launched.

The four feeds, and the tools for each:

1. Customer voice — support tickets, in-app feedback, reviews. Tools: Zendesk or Intercom AI summaries, Enterpret, Canny, or a weekly export plus your own summarizer prompt.

2. Sales and success calls — the richest and least read source. Tools: Gong, Chorus, Fireflies. Their summaries are decent; their value is a weekly digest of “objections we heard” and “features that came up.”

3. Competitors — pricing pages, changelogs, job postings, app store releases. Tools: Crayon, Klue, or a simple script that diffs pages weekly. Job postings are the underrated signal: they tell you what a competitor will build before they build it.

4. Your own metrics — the ones you defined at launch. This is Part 4’s metric watcher. Some analytics tools do anomaly alerts; most of the time you’ll build this yourself.

The test:

1. Does it push, or do you pull? A dashboard you have to open fails the category. It should arrive — email, Slack, a Monday digest — without you asking.

2. Is it short enough to read every time? If the digest takes more than five minutes, you’ll skip it in a busy week, and then every week. Three items and a link beats thirty.

3. Does it link back to the source? Every claim in the digest one click from the ticket, the call, the page. Otherwise you’re trusting a summary with no way to check.

4. Can you tune what counts? You should be able to say “tell me about pricing complaints and integration requests, ignore login issues” without a vendor call.

5. Does it accumulate? This week’s digest should know what last week’s said. “Third week in a row that export comes up” is a finding; one mention isn’t.

Build versus buy, honestly: for a startup, a weekly script — export tickets and call summaries, run one good prompt, post the result to a channel — covers most of this in an afternoon with your agentic coding tool. Buy the sales-call tool because recording and transcription is real infrastructure. Everything else, start by building.

Two cautions:

• Watch for the digest becoming the truth. It’s a sample, summarized by a model. Read three raw tickets a week, unsummarized, forever.

• Don’t let alerts multiply. Every new alert should replace an old one or it becomes noise within a month. One digest, one channel, one rhythm.

The whole set, one line each, so you have it in one place:

1. Reasoning partner — one frontier model, paid, used daily

2. Prototyping tool — app-first for validation, shows instead of tells

3. Agentic coding tool — reads code, writes SQL, builds your internal tools

4. Data access — read-only warehouse, query shown, joins across sources

5. Research synthesis — your model plus a folder until you need a repository

6. Eval harness — a test set you own, a rubric you wrote, a score you rerun

7. System of record — the tracker agents can read, with the “why” next to the “what”

8. The watcher — pushed digests from customers, sales, competitors, your metrics

Six of the eight are things you can set up alone, in a month, with no budget approval. That’s a different situation from five years ago, and it’s the concrete version of what “full-stack” means in your headline.