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Heatpoints

See what users see before they do. Upload any interface or enter a URL to generate an AI-powered visual attention heatmap in seconds.

Heatpoints

Heatpoints Reviews and Details

This page is designed to help you find out whether Heatpoints is good and if it is the right choice for you.

Screenshots and images

  • Heatpoints Real time heatmaps
    Real time heatmaps //
    2026-07-15
  • Heatpoints WordMap
    WordMap //
    2026-07-15
  • Heatpoints Report page
    Report page //
    2026-07-15
  • Heatpoints dashboard
    dashboard //
    2026-07-15

Features & Specs

  1. Attention Score

    The free scanner: paste a URL, get a score out of 100 and a blurred heatmap in seconds. No account needed.

  2. Scan Designs & mockups

    Drop a JPG or PNG โ€” a Lovable export, a Figma frame, a client's V1 โ€” and score it before a single line of code ships. Same model, same metrics as a live URL.

  3. LiveHeat

    Not a screenshot tool: LiveHeat runs the model on your page as you use it. Four modes, one canvas โ€” each answers a different question.

  4. Regions

    Draw any zone on the page โ€” a CTA, a banner, a face โ€” and get the exact share of predicted attention it captures. Select several zones and compare them: the A/B argument in one number.

  5. Scrollcast

    LiveHeat records a full scroll of your page and renders it as a saliency video: attention flowing, section after section. Export it, drop it in a client deck โ€” it's the before/after nobody argues with.

  6. Scrub

    Flip Scrub on and the page scroll becomes the video timeline: you walk the attention story frame by frame, at exactly the position your visitor would be. The most natural way to review a long page.

  7. Words Map

    Every text block is scored twice: what it says, and whether the eye actually reads it. Not per paragraph โ€” per word, with a 0โ†’1 reading-attention score on each token and a verdict on each sentence.

  8. Multi-device audit

    Desktop, tablet and mobile captured section by section โ€” each screen scored on attention, focus, coverage and hierarchy.

  9. Report Studio

    Executive summary, per-section notes, cross-device findings and priority actions โ€” written by GLM-5.2 from your real metrics. Generated server-side: close the tab, the finished report waits in your dashboard.

  10. Pulse

    A cookieless snippet measures how real visitors actually behave โ€” scroll reach, dwell, rage clicks โ€” and confronts the prediction with reality. No banner needed.

  11. Badges

    Every scan ships a live badge for your README or footer, and pages scoring 80+ earn the Certified label โ€” rare on purpose, verifiable by anyone.

  12. Figma plugin

    Select a frame and the attention heatmap lands on your canvas as a layer, with 4 scores (attention, focus, coverage, hierarchy). Catch hierarchy problems in design review โ€” before dev builds anything. Pending Figma Community review.

Badges

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Questions & Answers

As answered by people managing Heatpoints.
  1. What makes Heatpoints unique?

    Heatpoints predicts where visitors will look โ€” and which words they will actually read โ€” before a page is live, with no tracking script, no cookie and no consent banner. It runs a peer-reviewed eye-tracking AI on any URL, mockup or screenshot and returns a heatmap, an attention score out of 100 and an AI-written audit in about 30 seconds. Its Words Map (word-by-word reading attention) and its cookieless prediction-vs-reality check (Pulse) are things no other commercial tool offers.

  2. Why should a person choose Heatpoints over its competitors?

    Session-recording and real-user heatmap tools (Hotjar, Microsoft Clarity, Plerdy) need a live site, traffic and a consent banner โ€” they can only tell you what already happened. Heatpoints answers the question before you have any traffic: what will a first-time eye do on this page. Versus other predictive tools, it is self-serve from a free plan, never watermarks exports, ships white-label reports from a lower tier, and adds an AI audit and word-level copy analysis on top of the heatmap.

  3. How would you describe the primary audience of Heatpoints?

    CRO specialists, UX and web designers, marketers and founders who want to validate a page's visual hierarchy and messaging before launch. It is also built for people shipping pages fast with AI builders (Lovable, v0, Bolt, Cursor) who need a quick quality check, and for agencies who deliver white-label attention audits to clients.

  4. Which are the primary technologies used for building Heatpoints?

    The attention engine is UniSAL, a peer-reviewed saliency model (ECCV 2020) running in PyTorch, trained on real human eye-tracking datasets. The backend is Python/FastAPI, page capture runs on Playwright/Chromium, the frontend is Next.js, and data is stored in MongoDB. There is also a public REST API and an MCP server for AI agent workflows.

  5. What's the story behind Heatpoints?

    AI now generates landing pages faster than anyone can judge them โ€” but nothing checks whether a human will actually look at the right place before the page ships. Heatpoints was built to be that visual QA step: paste a URL or a mockup and see where attention lands, before you pay for traffic. It's an independent product by Dropnir, built to make attention testing instant, deterministic and consent-free.

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Is Heatpoints good? This is an informative page that will help you find out. Moreover, you can review and discuss Heatpoints here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.