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13 Comments

People don’t use this when they get a contract.They use it right before signing.

I thought this would be used for “analysis.”

But after ~80+ contracts, a different pattern is showing up.

People don’t come in early.
They don’t explore.

They come in at the last moment - when a decision needs to be made.

Not asking:
“what does this clause mean?”

But:
“am I about to make a mistake?”

What surprised me more:

Some are starting to come back - not for the same contract, but when a new one shows up.

It’s starting to look less like a tool,
and more like something used at the moment of decision.

Still early, but the behavior is getting clearer with each contract.

If you’ve dealt with contracts before, curious if this matches your experience.

Try it here:
https://joyful-granita-8415bc.netlify.app/

on April 17, 2026
  1. 2

    If you’re about to sign something and want a quick second look, you can try it here:

    https://joyful-granita-8415bc.netlify.app/

    Curious to hear what you think - especially if you’ve dealt with contracts before.

    1. 1

      used it already -actually helpful before signing, saves time and stress

  2. 1

    The usage-timing gap is everywhere in SaaS data.
    Tools pitched for the full workflow get used at the last decision point. Contract review. Code review. Invoice review. Humans only reach for assist right before they commit.
    Pricing the urgency step works better than pricing the process.

  3. 1

    That tracks. Most people don’t care about contracts until there’s risk—they show up asking “am I about to mess this up?” not “what does this mean?”

    The repeat use is the signal: value is built in high-stakes moments. Feels more like a decision safety net than an analysis tool.

    1. 2

      exactly - that “am I about to mess this up?” moment is what keeps coming up

      still early, but the repeat behavior seems to follow that pattern

      1. 1

        how often does it happens?

        1. 1

          still early, but starting to see it repeat across different users

  4. 1

    This matches something I'm seeing from the other side of the same transaction. I'm building a tool that turns client emails/PDFs into structured briefs + proposals for freelancers, and the proposal view-tracking data is showing the exact mirror of what you're describing.

    Clients don't open the proposal when it lands. They open it 2–3 times total, and the longest session is almost always within ~24h of a decision — often at weird hours (late night, early morning). The "analysis" phase you expected doesn't really exist; it's skim → ignore → re-read under pressure.

    The behavior shift you're noticing (returning users for new contracts) is interesting because it suggests you're becoming part of the decision ritual, not the research ritual. Those are very different products with very different retention curves. Research tools have to fight for attention; decision tools just have to be there at the right moment.

    One question: do you see a spike in usage at specific times of day? I'd bet money you'll find a "Sunday night / Monday morning" pattern once you have more data — that's when people confront stuff they've been avoiding.

    1. 1

      Interesting - that pattern makes sense. Still early on my side.

  5. 1

    this actually makes sense - people only think about risk when it’s time to sign

    good signal, you’re seeing real behavior now

    1. 1

      yeah, that’s exactly what I’m starting to see

      it’s less about “analyzing contracts” and more about that last check before committing

      1. 1

        yeah exactly - that last check is what actually matters

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