Heatpoints VS Objects

• Attention Score
  The free scanner: paste a URL, get a score out of 100 and a blurred heatmap in seconds. No account needed.
• Scan Designs & mockups
  Drop a JPG or PNG — a Lovable export, a Figma frame, a client's V1 — and score it before a single line of code ships. Same model, same metrics as a live URL.
• LiveHeat
  Not a screenshot tool: LiveHeat runs the model on your page as you use it. Four modes, one canvas — each answers a different question.
• Regions
  Draw any zone on the page — a CTA, a banner, a face — and get the exact share of predicted attention it captures. Select several zones and compare them: the A/B argument in one number.
• 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 — it's the before/after nobody argues with.
• 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.
• Words Map
  Every text block is scored twice: what it says, and whether the eye actually reads it. Not per paragraph — per word, with a 0→1 reading-attention score on each token and a verdict on each sentence.
• Multi-device audit
  Desktop, tablet and mobile captured section by section — each screen scored on attention, focus, coverage and hierarchy.
• Report Studio
  Executive summary, per-section notes, cross-device findings and priority actions — written by GLM-5.2 from your real metrics. Generated server-side: close the tab, the finished report waits in your dashboard.
• Pulse
  A cookieless snippet measures how real visitors actually behave — scroll reach, dwell, rage clicks — and confronts the prediction with reality. No banner needed.
• Badges
  Every scan ships a live badge for your README or footer, and pages scoring 80+ earn the Certified label — rare on purpose, verifiable by anyone.
• 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 — before dev builds anything. Pending Figma Community review.

• Decentralized Object Storage
  Objects.to provides decentralized storage solutions, allowing users to store data across distributed networks rather than relying on a single centralized server, which enhances data resilience and reduces single points of failure.
• Web3 and Blockchain Integration
  The platform is designed with Web3 principles in mind, making it well-suited for developers building decentralized applications (dApps) that need reliable and censorship-resistant storage.
• Simple API and Developer Experience
  Objects.to offers a straightforward API that makes it relatively easy for developers to integrate decentralized storage into their projects without needing deep expertise in the underlying protocols.
• Content Persistence
  Data stored through Objects.to benefits from content-addressable storage mechanisms, helping ensure that files remain available and verifiable over time without risk of link rot or unauthorized modification.
• Cost-Effective Storage
  Compared to traditional cloud storage providers, Objects.to can offer competitive pricing by leveraging decentralized storage networks, potentially reducing costs for developers and businesses storing large amounts of data.

Possible disadvantages

• Limited Mainstream Adoption
  Objects.to is a relatively niche platform compared to established cloud storage providers like AWS S3 or Google Cloud Storage, which means fewer community resources, tutorials, and third-party integrations are available.
• Performance and Latency Concerns
  Decentralized storage can sometimes suffer from higher latency and slower retrieval speeds compared to centralized cloud services that have globally distributed CDNs and optimized infrastructure.
• Reliability and Uptime Uncertainty
  As a smaller and newer platform, Objects.to may not offer the same level of guaranteed uptime and SLAs that enterprise-grade centralized storage providers commit to.
• Learning Curve for Non-Web3 Developers
  Developers unfamiliar with decentralized storage concepts, content addressing, and Web3 paradigms may face a steeper learning curve when adopting Objects.to compared to traditional storage solutions.
• Limited Documentation and Support
  Being a smaller platform, Objects.to may have less comprehensive documentation, fewer support channels, and slower response times for troubleshooting compared to major cloud providers with dedicated support teams.