Freelancers using Apify in San FranciscoFreelancers using Apify in San Francisco

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Your Mission Is the Magic. I Build the Tech It Needs.
$50k+
Earned
24x
Hired
5.0
Rating
399
Followers
Your Mission Is the Magic. I Build the Tech It Needs.
AI Automation & Systems Architect: AI Agents | N8N Developer
$25k+
Earned
10x
Hired
5.0
Rating
133
Followers
AI Automation & Systems Architect: AI Agents | N8N Developer
AI Automation Engineer | n8n, Make, Zapier
$1k+
Earned
3x
Hired
5.0
Rating
30
Followers
AI Automation Engineer | n8n, Make, Zapier
Let's systemize and automate your business.
$25k+
Earned
27x
Hired
5.0
Rating
67
Followers
Let's systemize and automate your business.
AI Automation Specialist | n8n, Make, GHL & AI Agents
1x
Hired
78
Followers
AI Automation Specialist | n8n, Make, GHL & AI Agents
I analyze customer reviews and create priority action plans.
New to Contra
I analyze customer reviews and create priority action plans.
Cover image for While working on an app
While working on an app review analysis sample, I noticed something important: Not every negative app review is actually a bug report. Some complaints point to engineering. Some point to pricing. Some point to platform compatibility, UX, support, or content availability. A few real examples from the review sample: “… They just hiked their prices, even with all these bugs. Will be canceling if not fixed by next month. Just Frustrating.” Theme: Pricing, plans and value "Doesn't seem to matter what device you're using it on, phone, native television app, streaming device, it's complete garbage. Constant "unable to connect" or "Internet not available" messages when every other app works perfectly fine." Theme: Device and platform compatibility "This app is still broken. When chrome casting it doesn't remember where I've left off in a show if I pause it, then come back to it later and try to cast.” Theme: Casting and TV connectivity All three are negative reviews, but they describe different types of problems. When every negative review is treated simply as an “app problem,” the real priorities can get lost. That is why I classify reviews by theme and sentiment before writing the analysis. View full sample report: https://drive.google.com/file/d/1vt1qA-u5wASMt2UrpExM2W3KlJuMdqku/view?usp=sharing #AppReviews (https://www.linkedin.com/search/results/all/?keywords=%23appreviews&origin=HASH_TAG_FROM_FEED) #UserFeedback (https://www.linkedin.com/search/results/all/?keywords=%23userfeedback&origin=HASH_TAG_FROM_FEED) #SentimentAnalysis (https://www.linkedin.com/search/results/all/?keywords=%23sentimentanalysis&origin=HASH_TAG_FROM_FEED) #ProductAnalytics (https://www.linkedin.com/search/results/all/?keywords=%23productanalytics&origin=HASH_TAG_FROM_FEED) #CustomerExperience (https://www.linkedin.com/search/results/all/?keywords=%23customerexperience&origin=HASH_TAG_FROM_FEED) #DataAnalysis (https://www.linkedin.com/search/results/all/?keywords=%23dataanalysis&origin=HASH_TAG_FROM_FEED)
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Public data automation that turns signals into decisions
New to Contra
Public data automation that turns signals into decisions