Software Alternatives & Reviews

PaveAI VS Haystack Analytics

Compare PaveAI VS Haystack Analytics and see what are their differences

PaveAI logo PaveAI

Turn Google Analytics into actionable insights using A.I.

Haystack Analytics logo Haystack Analytics

Ship faster and improve team satisfaction with engineering analytics powered by your Github data.
  • PaveAI Landing page
    Landing page //
    2021-09-16
  • Haystack Analytics Landing page
    Landing page //
    2022-03-24

Ship faster and improve team satisfaction with engineering analytics powered by your Github data. Analyze pull requests on the team level and get “northstar” metrics like cycle time, deployment frequency, and change failure rate to help you improve delivery. Quickly find bottlenecks like code review, experiment with changes like smaller pull requests or automated tests, and see the result.

PaveAI

Website
paveai.com
Pricing URL
-
$ Details
-
Platforms
-

Haystack Analytics

$ Details
paid Free Trial $25.0 / Monthly (Per Dev)
Platforms
Browser

PaveAI videos

No PaveAI videos yet. You could help us improve this page by suggesting one.

+ Add video

Haystack Analytics videos

Haystack (YC W21)

Category Popularity

0-100% (relative to PaveAI and Haystack Analytics)
Analytics
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Marketing
100 100%
0% 0
Predictive Analytics
0 0%
100% 100

User comments

Share your experience with using PaveAI and Haystack Analytics. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Haystack Analytics should be more popular than PaveAI. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PaveAI mentions (1)

  • Best AI SEO Tools.
    By delivering greater insights, automating tedious operations, and enhancing the customer experience, AI solutions have the potential to have a huge impact on digital marketing. Here are some AI tools that can help in digital marketing: ✅Brightedge.com ✅marketbrew.ai ✅surferseo.com ✅marketmuse.com ✅paveai.com #ai #digitalmarketing #help #customerexperience. Source: about 1 year ago

Haystack Analytics mentions (2)

  • Launch HN: Haystack (YC W21) – Engineering analytics that don’t suck
    Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / about 3 years ago
  • Launch HN: Haystack (YC W21) – Engineering analytics that don’t suck
    Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). We’re building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing PaveAI and Haystack Analytics, you can also consider the following products

Insights Analytics - Turning your Google Analytics data into actionable insights

LinearB - LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.

No-Code Board - Generate easy-to-understand analytics reports. Instantly, with zero-code

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

Stormly - Turn Your Data Into Insights With A Single Click 🤯

Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.