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89 Comments

6 weeks ago this was just a simple page - now it’s showing me something I didn’t expect

6 weeks ago VIDI was just a simple page.

No users
No real signal
No idea if anyone actually needed it

Since then, people have been using it on real contracts - and I’ve been building it through conversations with them.

Now:

– 70+ contracts analyzed
– users across multiple countries
– people coming back with more contracts

But the biggest change wasn’t the product.

It was this:

People don’t want “contract analysis”.

They want to know:

👉 what could this end up costing me in the future?

Because the biggest risks don’t look risky.

They look standard - until they’re expensive.

That’s what I’m building around now:

something that helps you understand the downside before you sign.

Still early, but already seeing patterns I didn’t expect.

Curious - how do you usually decide whether to sign a contract or not?

"If you want to try it":
https://joyful-granita-8415bc.netlify.app/index.html

on April 3, 2026
  1. 1

    The insight that people don't want "contract analysis" — they want to know what it could cost them — is exactly the kind of repositioning that changes everything. Feature-first messaging almost never converts as well as outcome-first. We hit the same realisation building a trading bot: nobody wants "algorithmic signal generation", they want to know if they'll make money while they sleep. Same product, completely different framing, completely different response. The pattern you're seeing with people coming back with more contracts is the best signal you can get at this stage — it means the core value is landing. Curious what the most expensive hidden clause you've caught so far was?

    1. 1

      Yeah, exactly - same product, different framing, totally different reaction.

      One that stood out was a clause shifting liability for unexpected issues almost entirely to one side - looked standard, but the downside could be pretty significant if things went wrong.

  2. 1

    "People don't want contract analysis — they want to know what could this cost me" — this is such a powerful reframe.

    I had a similar realization with my product. I was positioning it as "testimonial collector" but what freelancers actually want is "more clients through social proof." The feature is the same, the framing changes everything.

    6 weeks from a simple page to real users across countries is impressive. Keep shipping!

    1. 1

      Yeah, exactly - same feature, just a different way of looking at it makes all the difference.

  3. 1

    The reframe from "contract analysis" to "what could this cost me later" is a huge insight. That's basically the difference between a feature and a value prop — and most early-stage founders get stuck on the feature side way too long.

    To answer your question: honestly, most of the time I sign contracts based on vibes and time pressure, which is exactly the problem you're solving. The stuff that bites you is always in the clauses that look boilerplate — auto-renewal, liability caps, IP assignment language. You don't think about them until they matter, and by then you've already signed.

    70+ contracts analyzed in 6 weeks with people coming back is a really strong signal. The repeat usage especially — that means it's not a novelty, it's becoming part of a workflow. If I were you I'd double down on that retention angle in your positioning.

    1. 1

      Yeah, that’s exactly it - those “standard” clauses are what end up mattering later.

  4. 1

    Repeat usage on a contract tool is unusual. Most legal-adjacent products are one-and-done. If freelancers are coming back with new contracts every few weeks, that tells you something about frequency your competitors probably missed when sizing this market. The tricky part is pricing. Contract review is high-value but low-frequency per user, which makes subscription pricing feel wrong. Have you looked at per-contract pricing or bundling a set number of reviews? The 70 contracts in 6 weeks number is more interesting if you know revenue per contract than if you know total user count.

    1. 1

      Yeah, still figuring that part out - the usage pattern has been interesting so far.

  5. 2

    This is the most underrated insight in building products. The gap between what you built and what people actually want is where all the value lives.

    I'm seeing the exact same thing with my project. I built an API directory for developers - 387 APIs ranked and scored. But nobody cares about "an API directory." What they actually want is: "which payment API won't screw me on rate limits at scale?" or "is this SDK still maintained or am I about to build on a dead project?"

    The feature is the ranking. The value is the confidence before you commit.

    Sounds like you found your version of that. 70+ contracts in 6 weeks with no real marketing is genuine pull. Most projects never get there. Keep talking to those users - they'll tell you exactly what to build next.

    1. 1

      Yeah, that’s a good way to put it - it ends up being more about the decision than the feature itself.

  6. 1

    The reframe from "contract analysis" to "what could this cost me in the future" is a genuine product insight. That's the difference between a feature and a job-to-be-done. 70+ contracts in 6 weeks from a simple page is real traction. The users coming back with more is the signal that matters most.

    1. 1

      Yeah, exactly - the repeat usage is what made it feel real.

  7. 1

    Congratulations on getting that insight, it can be hard to get valuable feedback that helps validate or orientate your features! Keep hacking.

    1. 1

      Appreciate it - still figuring things out, but it’s been helpful seeing how people actually use it.

  8. 1

    The "no real signal" to "people using it on real content" jump is the hardest part. Most projects die in that gap because founders keep building instead of putting it in front of people.

    What made you share it early? Was it a specific community or just cold posting? that first distribution channel matters more than people realize. I've had tools sit unused for months until I found the one place where the audience already had the exact problem.

    1. 1

      Mostly just putting it in front of people and seeing how they react - different places, different responses.

  9. 1

    Love seeing this kind of organic growth story. We're at
    a similar early stage with Toolby — watching Google slowly
    discover and index pages is both exciting and nerve-wracking.

    What was the turning point that made Google start taking
    the site seriously?

    1. 1

      Still very early on my side - haven’t seen much from Google yet, most of the usage is coming from direct exposure.

  10. 1

    This is interesting! I'm also building an AI content tool, but focused on marketing copy for local businesses like restaurants and beauty salons. Curious — how are you approaching user acquisition? That's the hardest part for me right now.

    1. 1

      Still experimenting - trying a few different channels to see what actually sticks.

      1. 1

        Same here, just launched mine recently. Built with Next.js + GPT, focused on marketing copy for local businesses. Noticed our UIs look surprisingly similar — did you use Cursor or Claude Code to build yours? 😄

        1. 1

          Built it myself - I’m a developer, so didn’t rely on tools like that.

          1. 1

            Respect! I built mine myself too, just thought the layout looked familiar 😄 What stack are you using?

            1. 1

              Keeping it pretty simple - nothing too fancy on the stack.

              1. 1

                Ha, simple is usually the best choice. Good luck with the experiments — would be cool to stay in touch and compare notes sometime 🤝

                1. 1

                  Appreciate it - still early on my side, just focused on building for now.

  11. 1

    Great insight! I've been building an AI tool for local businesses and facing similar challenges with user acquisition. Would love to hear how you approached your first 10 customers.

    1. 1

      Depends on the market - different users, different channels.

      1. 1

        Totally agree. I'm targeting local brick-and-mortar businesses in the US market — salons, restaurants, clothing stores. Still figuring out the best channel to reach them. Are you going B2C or B2B with your product?

        1. 1

          Yeah, depends a lot on the market - different users, different channels.

  12. 1

    The repeat usage is really the key signal here. Lots of tools get first-time curiosity clicks, but people coming back with more contracts means you've crossed from "interesting" to "useful."

    I ran into a similar messaging pivot building developer tools -- started describing what the tool does technically, but adoption only picked up when I reframed around the specific pain: "stop wasting 2 hours debugging config drift" vs "configuration analysis engine." Same tool, completely different response.

    One thing that might be worth experimenting with: if you're seeing patterns across those 70+ contracts, turning those into content could be a strong acquisition channel. Something like "5 contract clauses that look standard but cost freelancers thousands" -- that's the kind of thing people share because it feels personally relevant, not promotional.

    Are the repeat users mostly freelancers, or are you seeing small businesses too?

    1. 1

      "5 clauses that look standard but cost thousands" - that's literally what I'm seeing every day in these contracts. Strong content idea, might actually do something with that. Repeat users are a mix right now, but freelancers dominate so far.

  13. 1

    Starting as a simple page and already getting real usage in 6 weeks is impressive. The fact that users keep coming back says a lot. Keep going! Theres a lot to learn for me here 😊

    1. 1

      Thank you! The fact that people keep coming back is the signal that keeps me going. Lots still to learn on my end too 🙏

      1. 1

        I see. Surely learning never stops :)

        1. 1

          Yeah, definitely - every step brings something new to figure out.

  14. 1

    The reframe from "contract analysis" to "what could this cost me" is a great example of why the first version of your messaging is almost never right. I run multiple MVPs and this pattern keeps repeating: what you think people want and what actually gets them to act are two different things. The feature stays the same, but the framing makes all the difference.

    70 contracts analyzed in 6 weeks with no marketing is a solid signal. Curious what your retention looks like - do people come back with new contracts, or is it more of a one-time use?

    1. 1

      Exactly this - same tool, completely different response once the framing shifted. Retention looks good so far: most people are coming back with new contracts, not just one-time. That's what gives me confidence to keep building.

  15. 1

    Cool to see something evolve that fast from a simple page. I've had a similar experience building out dashboards — what started as a single metrics view six weeks in suddenly revealed patterns in store data I wasn't even looking for, like seeing that repeat purchase rates dropped off a cliff after 47 days for one segment. On the contract question, I've learned the hard way to never sign anything longer than 3 months early on unless the terms are ridiculously favorable — we locked into a 12-month data provider contract in year one and ended up switching approaches at month 4. What was the unexpected thing your page showed you?

    1. 1

      Great pattern - repeat purchase drop-off is exactly the kind of thing that only shows up in data, not in the document itself. Same with contracts: the biggest risks hide in "standard" language. The 3-month rule is smart, especially early on.

  16. 1

    The reframe from 'contract analysis' to 'what could this cost me' is a really clean positioning shift — you moved from a feature to a fear, which is where buying decisions actually live. 70 contracts in 6 weeks with no marketing is strong signal. How are you finding your users right now — mostly word of mouth? Curious whether freelancers or small business owners are the stickier segment.

    1. 1

      Exactly - fear converts better than features. Still early but the repeat usage is the signal I'm watching most closely. Curious about the freelancer vs small business question myself - the stickier segment is becoming clearer over time.

  17. 1

    "This is inspiring! Building in public creates accountability. I'm doing the same with Aiventyx 🚀"

    1. 1

      Appreciate it! Yeah, building in public definitely keeps you honest.

  18. 1

    Nobody buys prevention. They buy avoidance of a specific, vivid downside." That line is gold. The shift from "contract analysis" to "understanding future financial risk" is a textbook repositioning. I've seen this pattern repeatedly as a PM: you build what you think users need, then watch them use it for something slightly different. The repeat usage is the strongest signal you have. Those users coming back with more contracts are telling you exactly what the product is. Nice work catching it early.

    1. 1

      Yeah, exactly - the repeat usage is what made it click.

      That’s when it stopped being “analysis” and started looking more like risk awareness.

  19. 1

    What I found most striking is the phrase shift from “contract analysis” to “understanding downside.” ~

    When you reframed it, instead of the feature, you turned it around the real question which users care about – which is where the value shows up.

    1. 1

      Yeah, exactly - the value only shows up once you frame it around the downside.

  20. 1

    The pivot from 'contract analysis' to 'what could this cost me' is the kind of insight you only get from talking to users. Most people build what they think people want instead of listening to what they actually ask for. 70 contracts analyzed in 6 weeks is solid traction for validation. One thing that helped me when I was building my recent product - I wrote out exactly who it's for and what problem it solves before touching any code. That spec became the foundation for everything. Sounds like you're doing the same thing but through conversations instead of docs

    1. 1

      That makes sense - writing it out forces clarity.

      In my case it only really clicked after seeing how people reacted to actual contracts.

      1. 1

        Yea, make sense, nothing better than learning from the users themselves

  21. 1

    "Congrats Meirambek, this is a really nice evolution! 🔥
    Going from “just a simple contract analysis page” to something that actually helps people understand future costs and hidden risks is a smart pivot. That’s exactly the kind of insight people need when dealing with contracts — not just “what does it say”, but “what could this cost me later”.
    The fact that users are coming back with more contracts is a very strong signal.
    Quick question for you:
    What’s the most surprising or dangerous pattern you’ve seen repeatedly in these 70+ contracts so far?
    Keep going man, this direction feels much more valuable. Rooting for VIDI!"

    1. 1

      Appreciate it - probably auto-renew + notice periods.

      They look harmless, but can lock you in for another full cycle if missed.

  22. 1

    Good signal. The best products usually start with one stated need, then grow around the real fear underneath it. In this case: expensive surprises.

    1. 1

      Yeah, that’s exactly it - the real driver is avoiding those expensive surprises.

  23. 1

    This is a great shift, people don’t really want analysis, they want clarity on outcomes. feels like a lot of products evolve this way once you start having real conversations, the real need only shows up in context.

    1. 1

      Yeah, exactly - the real need only shows up once you see how people think about it in context.

      1. 1

        makes sense, curious to see how it evolves from here

        1. 1

          Yeah, same here - still figuring out how far this can go.

          1. 1

            true, that’s where it gets really interesting

          2. 1

            Sometimes it’s easy to miss the customers preferred use case because we are so focused on our own intended function/purpose. Good job listening. That’s how good ideas pivot into good businesses.

            1. 1

              Exactly - and it's easy to stay blind to it if you're not in constant conversation with users. The pivot only happened because people kept showing me how they actually think about the problem, not how I assumed they would. Appreciate that.

  24. 1

    Thanks for this, really helpful.

    1. 1

      Appreciate it - glad it was helpful.

  25. 1

    This is a really interesting insight. I feel like a lot of products start with a technical abstraction ("contract analysis", "SVG optimization", etc), but users actually care about outcomes, not the process. In your case it makes total sense - nobody "analysis", they want to avoid expensive mistakes. Curious, did this shift come from talking to users directly, or from observing how they actually used the product?

    1. 1

      Mostly from talking to users and seeing how they reacted.

      The “cost” framing only clicked after that.

      1. 1

        That's a great point. It's interesting how the insight wasn't obvious upfront. Only after seeing how people reacted. I've noticed something similar, when building small tools - the initial idea often changes completely once real users get involved. Feels like talking to users early saves a lot of time in the long run.

        1. 1

          Yeah, exactly - real users change how you see the problem pretty quickly.

          Saves a lot of wasted time.

          1. 1

            Totally agree.
            I had a similar moment. What I thought was the "main feature" turned out to be secondary once people actually started using it.
            Feels like talking to users early is basically a shortcut to product-market fit.

            1. 1

              Yeah, same here - what seems important at first usually shifts once people actually start using it.

  26. 1

    The shift from "contract analysis" to "what could this cost me" is the same pattern I keep running into building a personality AI. Nobody wants "personality assessment" — they want to understand why they keep doing the thing they can't explain. The mechanism doesn't sell. The specific moment of clarity does.
    70+ contracts with repeat users in 6 weeks is real signal. that's a real problem being solved.

    1. 1

      Yeah, exactly - the clarity is what actually clicks, not the mechanism.

      Seeing people come back is what makes it feel real.

  27. 1

    This is what build-in-public should look like — actual before/after with context, not just vanity metrics. The most underrated thing you've probably discovered: sharing the process creates a different kind of trust than sharing the outcome. People root for you when they've watched you build. Keep going.

    1. 1

      Appreciate that - sharing the process definitely changed how people engage with it.

      Feels like people trust it more when they see how it evolves, not just the end result.

  28. 1

    Started as a simple tool, but real users showed us the real need—helping people understand hidden contract risks before they become costly.

    1. 1

      Yeah, that’s exactly what started showing up.

      Real usage made it clear what actually matters vs what I initially thought.

  29. 1

    This realization — that people don't want the mechanism, they want the outcome — is one of those things you hear repeated everywhere but only really clicks when you see it in your own data.

    I'm building in the competitor pricing space and hit the exact same wall. My first instinct was to describe it as "competitor monitoring." Nobody cared. When I reframed it as "find out what your competitor's pricing change means for YOUR business before your customers notice" — completely different reaction.

    The pattern seems universal: nobody buys prevention. They buy avoidance of a specific, vivid downside. "Contract analysis" vs "what could this cost me" is the same gap as "monitoring" vs "your competitor just made your pricing look 20% too high."

    70+ contracts in 6 weeks with repeat users is strong signal. Curious — are you seeing more traction from specific industries, or is the pain broad enough that it cuts across verticals?

    1. 1

      Yeah, that shift only became obvious after seeing how people actually react.

      Framing it around downside vs mechanism changes everything.

      So far it seems pretty consistent across different types, but still early - trying to see how deep that goes.

  30. 1

    It's a good sign, people are using it. That means the problem is real.

    1. 1

      Yeah, that’s how I see it too.

      Real usage is the only thing that actually matters at this stage.

  31. 1

    Six weeks is right around when you start seeing patterns instead of noise. The first month is almost all noise. Whatever signal is emerging at week 6 is worth taking seriously — it's survived the chaos of launch and the distortion of early-adopter enthusiasm. What did you expect vs. what's actually showing up?

    1. 1

      Yeah, that’s exactly how it felt.

      At the start it was mostly noise, but now some patterns are becoming pretty clear.

      Biggest difference is what people actually care about vs what I initially thought.

  32. 1

    "People don't want contract analysis. They want to know what it could end up costing them."

    That's the entire principle behind direct-response ad copy, and you just discovered it through user conversations rather than ad spend — which is actually the better way to find it.

    Most founders who try paid ads for products like this lead with the mechanism: "AI contract analysis in seconds." Nobody clicks. Because no one wakes up thinking they have a contract analysis problem. They wake up thinking about risk, exposure, hidden clauses.

    The ad that would work for VIDI is closer to: "Signed a contract that looked fine — ended up costing $40K. Here's what to check before you sign anything." Or a video showing someone reading a standard-looking NDA while text overlays highlight the clause that could bite them.

    The insight you have now — that the real fear is not knowing what the downside risk is — is more valuable than the feature you built. That's the one sentence your whole acquisition strategy should be built around.

    If you ever move into paid channels, that positioning is your creative brief. Don't change it.

    1. 1

      This is a really good point.

      The “cost / downside” framing only became obvious after talking to users - not something I started with.

      Makes sense to lean into that instead of how it works.

  33. 1

    That is a great signal. When users start returning with more real use cases, it usually means you are solving something meaningful.

    1. 1

      Yeah, that’s what I’m paying attention to most right now.

      When people come back and use it again, it usually means there’s something real there.

  34. 1

    this is a strong shift - you’re starting to see the real problem now
    keep going, this is where it gets interesting 👍

    1. 1

      Appreciate it - yeah, that’s exactly what started clicking for me.

      The risk is usually there, just not obvious until you think about the downside.

  35. 1

    A few people asked how it works.

    Short version: it highlights risky clauses and shows what they actually mean + the downside.

    If you want to try it:
    https://joyful-granita-8415bc.netlify.app/index.html

  36. 1

    This comment was deleted 21 hours ago.

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