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Saw a random Upwork job asking for an LLM text analyzer. They wanted someone with years of experience (that I don't have yet), so I thought, "Why not just build it?"
So, I built a Python tool that uses Google's Gemini API to analyze customer reviews and feedback automatically. Feed it text, get back sentiment scores, key themes, and summaries, without manually reading anything.
It also handles batch processing, fetches content from URLs, and exports to Excel/Google Sheets. Aside from integrating the AI, another interesting part was that it was handling messy real-world data, rate limits, and making it actually usable.
This solution reduces hours of analysis to minutes. Fully documented and production-ready.
Repo: LLM Text Analyzer
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🚀 Submitting to #ProfitWithBubble — built entirely on @Bubble.io !
Introducing FastResumeAI: an AI-powered SaaS platform that evaluates a resume against a job description in seconds and delivers a job-fit score + actionable feedback.
Key Features
✅ AI-Powered Resume Matching: Leverages advanced AI to analyze resumes and job descriptions, providing job fit scores and SWOT analysis.
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✅ Revenue model: Users pay USD 11 per month for access to the app, with UNLIMITED resume-to-JD matches and resume improvement recommendations.
🔗 Production-ready Live App Link: https://jobsy-67246.bubbleapps.io/
🎥 App Walkthrough Video link: https://vimeo.com/1050420298/0c601d408c
Love the idea, Bharath!
professional my friend
My current AI powered workflow as a designer and non native English speaker:
→ I use ChatGPT’s Memory as my operational brain. I fed it my pricing, deliverables and feedback rounds, so when I draft complex client emails, I’m not starting from zero. I edit everything, ✨always✨.
I’m fluent in English, but it helps me catch small grammar or spelling details for extra credibility.
→ When I find myself spending hours 🫠 searching for the perfect packaging mockup I turn to Adobe Firefly to create them. The Nano Banana integration is honestly amazing.
What’s actually working? AI removes admin noise and speeds up exploration although it’s terrible at taste. Strategy and design are still human work.
Which part of your workflow has AI genuinely improved, and which part would you never hand over?
Very thoughtful workflow approach. Curious — what aspect of your process improved the most after structuring memory this way?
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