Runsight โ YAML-first workflow engine for AI agents.
Design agent workflows visually. The canvas writes YAML to your filesystem โ commit it, diff it, review it in PRs like any other code.
When something breaks at 2 AM, you don't restart and hope. You pause the running agent, edit the prompt, and resume. No redeployment.
What makes it different: โ Git-native. Workflows are YAML files in your repo, not rows in a database. โ Per-run cost tracking. Know what every agent call costs before the invoice arrives. โ Runtime intervention. Pause, inspect, fix, resume โ while the workflow is running.
Built for engineering teams who run agents in production and need the same rigor they have for everything else: version control, code review, and the ability to kill a runaway process.
Open source. Self-hosted.
A startup from Israel.
AI-Powered Run Analysis
Runsight leverages artificial intelligence to analyze running data, providing runners with deeper insights into their performance, training patterns, and areas for improvement beyond what traditional running apps offer.
Personalized Training Insights
The platform offers personalized recommendations and insights tailored to individual runners' data, helping users optimize their training plans and reach their goals more effectively.
Data-Driven Approach
By using data analytics and AI, Runsight helps runners make more informed decisions about their training, pacing, and recovery, reducing the guesswork often involved in running programs.
User-Friendly Interface
Runsight appears to focus on presenting complex running analytics in an accessible and easy-to-understand format, making advanced performance data approachable for runners of varying experience levels.
Integration Potential
As an AI-based running analytics tool, Runsight likely integrates with popular running watches and fitness platforms, allowing users to leverage data they are already collecting from devices they own.
We have collected here some useful links to help you find out if Runsight is good.
Check the traffic stats of Runsight on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Runsight on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Runsight's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Runsight on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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