Glisker - AI Landing Page Feedback Tool

Glisker -
AI Feedback Tool

Glisker is a self-initiated product I designed, built and launched on my own with AI. It answers a question founders and marketers keep asking: what does a first-time visitor actually make of my landing page? Paste a URL or upload a screenshot and, in about 40 seconds, Glisker detects the page's sector, scores the first impression across five lenses, names the one thing to fix first, and turns the result into a page you can share with a single link.

Industry

Marketing & SaaS Tools

Role

Solo Designer & Builder

Status

Live at glisker.com

Focus

Product Strategy, UX/UI & AI Build

Project Type

Self-Initiated Product

Challenge

Challenge

Visitors don't read landing pages, they glance. Most feedback tools answer that with heatmaps and analytics, which need traffic, time and interpretation, and early-stage founders have none of these. The challenge was to turn a five-second first impression into something measurable and actionable, with no sign-up, no setup and no jargon, and to build it end to end as one person.

Visitors don't read landing pages, they glance. Most feedback tools answer that with heatmaps and analytics, which need traffic, time and interpretation, and early-stage founders have none of these. The challenge was to turn a five-second first impression into something measurable and actionable, with no sign-up, no setup and no jargon, and to build it end to end as one person.

Results

Results

Glisker went from idea to a live product: a free tool anyone can use without signing up, a result that fits on a single screen, and a library of landing page guides. Launching it on LinkedIn and Product Hunt taught me the most valuable lesson of the project: building is now the easy part, and distribution has to be designed as carefully as the product itself.

Glisker went from idea to a live product: a free tool anyone can use without signing up, a result that fits on a single screen, and a library of landing page guides. Launching it on LinkedIn and Product Hunt taught me the most valuable lesson of the project: building is now the easy part, and distribution has to be designed as carefully as the product itself.

Design Approach

Every decision follows the product's own principle: if visitors glance, the result should too. The verdict headline, the score and the single "fix this first" recommendation are designed to be understood in seconds, and each lens is clearly marked as a strength to build on or a gap to fix. An editorial visual language with one green accent keeps attention on the verdict, it works in both light and dark mode, and a sample result on the homepage shows the value before anyone types a URL.

Features

Sector-Aware Five-Lens Score

Glisker first detects what kind of page it is looking at, such as B2B SaaS, e-commerce or a mobile app, then scores it out of 100 across clarity, relevance, trust, action and focus, so the read is judged against the right expectations and users see not only how the page lands but why.

One Thing to Fix First

Instead of a long audit, Glisker prioritises a single, concrete recommendation and explains why it matters most, so the next step is obvious and doable today. Smaller points are kept in a separate "not urgent" list.

Shareable Result Pages

Every analysis gets its own link, so a founder can send the full read to a co-founder, designer or client in one click, with no account needed on either side. Each shared page also invites the reader to test their own page, turning every share into a new visitor.

Landing Page Guides

Alongside the tool, I wrote a small library of landing page guides on first impressions and the five-second test, built to bring in search traffic and give visitors a reason to come back.

Conclusion

Glisker is the project that best shows how I work today: research-led product thinking, a tight scope, and the ability to take an idea all the way to a shipped product on my own. It also changed how I approach what comes next: start from an audience with a real problem, then design the product and its distribution together.