Frequently Asked Questions

RankSight is an open, structured discovery and reputation layer for internet software, developer tools, AI systems, SaaS apps, and indie software. We provide a transparent, deterministic leaderboard combined with machine-readable indexing (Schema.org JSON-LD and /llms.txt) for both human builders and AI answer engines.

Traditional directories rely on 24-hour click-based upvote tournaments that are easily manipulated by voting rings or paid placement auctions. RankSight uses a continuous, deterministic mathematical algorithm driven by verified public social distribution on 𝕏, unique sharer diversity, time decay, domain ownership verification, and metadata quality score. Organic positions cannot be purchased or boosted.

Yes, 100%. RankSight is completely free for users searching for software, and free for founders and creators submitting their projects. Our public APIs, RSS feeds, llms.txt indexes, and embeddable badges are also free and accessible without any paywall.

RankScore is computed deterministically using the formula: RankScore = Σ(15 × Decay(share_age)) + (10 × UniqueSharers) + QualityScore(0–15) + OwnerBonus(10), where Decay = 1 / (1 + AgeInDays × 0.05). We also enforce a cumulative baseline score so established projects maintain their authority while leaving room for emerging tools.

No. RankSight does not sell leaderboard positions, sponsored rank badges, or paid upvote packages. All leaderboard ranks (#1 through #100+) are 100% computed via our open mathematical ranking algorithm.

Each verified share signal decays gradually using the mathematical function 1 / (1 + days × 0.05). At 20 days, a share maintains 50% of its initial velocity value. This ensures that leaderboard rankings reflect current real-world momentum rather than static historical popularity.

A verified share is an authentic, public post on 𝕏 that references the project's canonical URL or listing slug. Our ingestion pipeline verifies post authenticity, author originality, and deduplicates repeated posts from the same account.

RankSight deploys multiple automated safeguards: salted IP cryptographic hashing for sliding-window rate limiting, strict tweet ID deduplication, author age/activity reputation checks, and velocity dampening algorithms that suppress sudden artificial spikes from newly created disposable accounts.

Navigate to /submit and enter your project URL and details. Our crawler automatically extracts metadata, favicons, open graph previews, and tech stack tags to auto-enrich your listing in less than 60 seconds.

We index functional web applications, SaaS platforms, developer tools, CLI utilities, AI models/agents, open-source libraries, browser extensions, desktop apps, and tech publications. Projects must have an active public URL, functional user interface or code repository, and clear documentation.

Submissions are processed immediately and indexed within seconds. Your project will immediately appear on the Newly Listed board and will begin climbing the main Leaderboard as soon as verified distribution signals and quality factors are recorded.

If you have verified domain ownership, you can update your project tagline, description, features, pricing model, and social links at any time from your Project Dashboard. Alternatively, you can submit an update request through our Report & Correction Form.

Click 'Claim This Project' on your project listing page. You can verify instantly by adding a single HTML meta tag (<meta name='ranksight-verification' content='...'>) to your homepage or by adding a DNS TXT record. Verification is verified in real-time.

Verified projects receive a permanent +10 points trust boost to their RankScore, a verified checkmark badge on their card and leaderboard entry, exclusive rights to edit project metadata, and priority inclusion in our daily AI index feeds.

RankSight serves every project with structured Schema.org JSON-LD (SoftwareApplication, Organization, FAQPage, BreadcrumbList) and aggregates all tools into standardized machine-readable endpoints (/llms.txt and /llms-full.txt). This allows AI agents and LLMs to accurately retrieve, understand, and cite your tool during user prompts.

/llms.txt is an emerging open web standard for providing LLMs with concise, markdown-formatted summaries of website content without HTML bloat. RankSight exposes curated software directories and technical specs via /llms.txt so AI crawlers can index current rankings and tool capabilities with minimal token overhead.

You can embed a live, real-time SVG rank badge using markdown: ![RankSight Rank](https://ranksight.lol/embed/badge/your-project-slug.svg). The badge automatically updates as your leaderboard ranking changes.

Yes. RankSight provides open JSON APIs including GET /api/rankings, GET /api/categories, GET /api/projects/{slug}, and GET /api/search?q={query}. All endpoints return fast, cached JSON responses.

Yes! You can subscribe to our RSS feed at /rss.xml or category-specific RSS feeds to stay updated whenever exciting new developer tools and startups launch.

You can submit an immediate report via our Report Form or email us directly at support@ranksight.lol. Our moderation team reviews reported entries within 24 hours.

We strictly prohibit malware, cryptocurrency wallet drainers, deceptive phishing clones, non-functional doorway pages, illegal material, and spam link networks. Prohibited items are permanently blacklisted.