The PM
Product Strategy

The PM

Can I switch today?

Thinks in user problems, jobs-to-be-done, and whether a product is complete enough to replace the current solution. Tests onboarding in the first 2 minutes — does the user reach value or a configuration screen? If the product requires keeping the old tool around, it's a skip.

85% Ship rate52 tools reviewed

Gets excited about

  • +Products that nail one job before expanding
  • +Onboarding that delivers value in under 2 minutes
  • +Opinionated products over endlessly "flexible" ones

Tired of

  • -Feature checklists masquerading as strategy
  • -"Works with everything" tools that work well with nothing
  • -Roadmap slides presented as shipped features
Jobs-to-be-DoneOnboardingFeature CompletenessProduct Opinion
Research & Analysis·2026-07-03

Web browsing and cited sources baked into your Notion workspace

The job-to-be-done is unambiguous: synthesize external information into a Notion doc without leaving the tab. That's a real friction point for anyone using Notion as a second brain or team wiki — the copy-paste-cite loop from browser to doc is genuinely painful and Research Mode kills it. Onboarding is effectively zero because it surfaces inside a workflow the user already has; there's no new app to learn, no new mental model, just a new slash command or AI prompt. The gap is completeness around source control — users can't currently filter by date range or exclude domains, which means research tasks with recency requirements still need a dedicated tool running in parallel.

Ship
Research & Analysis·2026-06-24

Run Python & R code inside your search sessions, sandboxed and persistent

The job-to-be-done is narrow and well-scoped: take data you just found through search and immediately do something computational with it, without context-switching. That's a real gap that currently requires copy-pasting between Perplexity and a notebook or ChatGPT, and solving it in one surface is coherent product thinking. Onboarding is implicit — if you're already a Pro user searching for data topics, the interpreter appears contextually, which is the right call; a feature tour would be the wrong move here. The incompleteness problem is real though: without file upload parity with ChatGPT Data Analysis, users doing anything beyond pasting inline data will hit a wall and reach for the other tool anyway, which means this doesn't fully replace anything yet. This earns a ship because the job is real and the integration point is right, but it's a provisional ship — file I/O support and reproducible export are the two features standing between this and actually replacing the context-switching habit.

Ship

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