Tryvorax
Practical AI tools for startup founders
I built Landing Page Critic to help founders understand why a landing page may look polished but still fail to communicate its value clearly.
Before asking anyone else to trust it, I tested it on Tryvorax itself.
The first reports were uncomfortable but useful. They repeatedly pointed out three issues:
• The homepage tried to explain too many features at once.
• Several calls to action competed for attention.
• Terms such as Brand Score and Brand Brief made sense to me, but not necessarily to a first-time visitor.
I used that feedback to simplify the main promise, unify the primary call to action and explain the product’s decision signals in plain language. The clarity score improved from roughly 65–70 to 85/100.
The more interesting lesson was not the score. It was seeing whether the tool could identify specific changes I was actually willing to make.
That is now the standard I’m using while developing it: the report should not merely sound intelligent; it should help a founder decide what to change next.
There is a free snapshot and a €6.99 full report with deeper diagnosis, suggested copy, experiments and a 7-day action plan:
https://tryvorax.com/tools/landing-page-critic
For founders who have tested their own landing pages: what feedback made you change something immediately, rather than just agree with it?
I’ve just launched the second tool from Tryvorax Labs: Landing Page Critic.
After building Domain Finder, I kept seeing the same pattern: a founder can have a useful product and a decent domain, but still struggle to explain clearly why someone should care.
Landing Page Critic is designed to help with that first question: is the landing page clear enough for a new visitor to understand the value and take the next step?
It offers:
A free clarity snapshot
Three concrete findings
One priority action to improve the page
I’ve also added a paid full report for €6.99, with a deeper diagnosis, suggested copy, experiments and a 7-day action plan.
It’s early, and I’m particularly interested in whether the recommendations feel genuinely decision-useful rather than just “interesting”.
Try it here:
https://tryvorax.com/tools/landing-page-critic
If you’ve built or reviewed landing pages before: what is the most common reason you see otherwise-good pages fail to convert?
Choosing a startup name sounds simple until you actually do it.
I kept seeing the same fragmented workflow: brainstorm names in one tool, check domain availability somewhere else, copy everything into a list, and then try to decide which option actually feels brandable.
So I built Tryvorax, a focused AI tool for founders. You describe the startup you are building, and it helps you:
• Generate memorable domain ideas
• Check live domain availability
• Compare options using a practical Brand Score
• Save, organize, export and share your shortlist
The goal is not to let AI choose the brand for you. It is to remove the repetitive work and help you reach a stronger shortlist faster, while keeping the final decision in the founder's hands.
I am building this as a bootstrapped solo project, and the product is now live at https://tryvorax.com
I would genuinely value feedback from other founders:
1. What is the hardest part of choosing a startup name?
2. Would a Brand Score help you compare candidates, or would you prefer different signals?
3. What would Tryvorax need before you would trust it for a real project?
I will use the feedback to decide what to improve next.
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The interesting part seems to be the point where generating names stops being the problem and actually deciding which ones deserve to survive the shortlist begins. Curious whether early users find the Brand Score genuinely useful for that decision, or whether they're relying more on the availability and shortlist workflow.
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Thanks Aryan — that’s a really useful question. That’s exactly what I’m trying to learn. My current hypothesis is that availability gets a name onto the shortlist, while Brand Score helps compare the finalists.
If anyone wants to try it, search for Tryvorax — you can run a free search and get 10 domain ideas. Any feedback, suggestions, or improvements you’d like to see would be very welcome.
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That makes sense — availability gets you into consideration, while the score potentially affects what survives. I’d be curious what you learn once more people use it. What’s the best email to reach you at?
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Thanks Aryan — the best way to reach me is through the contact form on the Tryvorax website. Search for Tryvorax and you’ll find it. I really appreciate the interest, and I’ll be happy to share what I learn as more founders use it.
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10 Comments
"The report should not merely sound intelligent; it should help a founder decide what to change next" is the whole game, and most AI output tools miss it.
We ran into the same problem building a strategy-analysis tool: early versions produced write-ups that read as confident and polished but didn't point at a specific, checkable next action. The fix wasn't better writing, it was forcing every claim to either cite what it was based on or say plainly there wasn't enough basis to make the claim at all. Founders trusted the confident version less once they'd seen the honest "not enough data" version — same as your clarity score going up once you cut clutter rather than added polish.
The feedback that changed something for me immediately is always the one with a name and a location — "this sentence, replace it with X" — never a general score. Sounds like your critic already leans that way.
This lines up well with the separation we talked about elsewhere in this thread — a recommendation with a location, cited evidence, and a candidate replacement is something a human can actually check against the page, rather than take on faith. The one thing I'd watch for once this ships: make sure "insufficient evidence" isn't just a softer wording of "confident, but wrong" — i.e. the critic should be able to fail closed into that state even when it has some weak evidence, not only when it has none. Otherwise it'll drift back toward always finding a candidate.
The filter that matters for a critic like yours is the 'so what' test. A finding becomes decision-useful when it has an owner, one candidate edit, and a metric the edit should move, not just a score. The review that made me change something immediately was one that named a single swap: replace a feature-list subhead with the outcome a first-time visitor wants. A full report that ends with exactly one candidate edit is easier to trust than one that ends with a diagnosis map.
Using an 'AI critic' to audit your own landing page is a meta move! It's so hard to see your own product objectively.
I might try this for my new project, Muzegen (a French AI music generator). We've been struggling to explain the technical synthesis part to non-musicians. Did your AI critic give you advice on the technical copywriting or more on the emotional appeal? This seems like a great way to optimize conversion rates.
The strongest part is that you tested the critic on your own product and then actually changed the landing page from the findings. That makes the tool more credible than a report that simply sounds insightful.