Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31
VibeDashvibedash.app
No product description has been published for this domain yet. Everything below is measured directly.
Developer & AI Platformvibedash.appTracked since 2026-08-191 discovery source 44Backlinks
23Referring domains
+35.7%Referring domains · 90 days
Authority & distribution
How strong is VibeDash’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
44Current snapshot
Referring domains
23Current snapshot
90-day move
+35.7%Referring domains, last 90 days
Search demand
What people search before they reach VibeDash.
AI referral visibility
Which AI assistants are already sending VibeDash traffic?
Product profile
What VibeDash is selling.
Traffic makes more sense when you can connect it to the actual product promise.
“VibeDash”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://vibedash.app/?ref=futuretools.io
Observed across 1 discovery source.
Research questions
What the evidence answers about VibeDash.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What is the core purpose of VibeDash, and what problem does it solve?
VibeDash is a platform for planning, shipping, charging, and verifying AI-built software. It solves the problem of providing proof of an AI agent's work to clients, positioning itself as 'the home for AI builds' and offering verification functionality.
In what situations or for what tasks is VibeDash used?
VibeDash is used to manage workflows for AI-built software. It connects AI coding agents like Claude Code, Cursor, OpenClaw, or Hermes, runs QA and security loops, and provides clients with proof of the work completed.
Who is the target user or audience for VibeDash?
VibeDash is for developers and teams who use AI agents to build software. The product's taxonomy categorizes it as a 'Developer & AI Platform,' and its description focuses on verifying and charging for AI-built software.
What key features, surfaces, or integrations does VibeDash offer?
VibeDash offers features to plan, ship, and charge for AI-built software. It specifically integrates with coding agents via 'Skill.md + MCP' and includes surfaces for running QA and security loops to verify agent work.
How does VibeDash's performance compare with the median product in its category?
VibeDash has zero measured AI traffic visits, which is exactly the median for the 2,619 products in its 'Developer & AI Platform' category. The category's median domain authority is 22.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full VibeDash intelligence.
- Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
- AI referral detailHow much traffic assistants send.
- Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
- The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured