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Yuanyuan Zhangleft a comment
In cursor, I have tried Opus 4.5 and GPT 5.2 in the plan mode, and personally, I prefer the former. However, I’m still torn on the best setup for fixing bugs. What are your preferences for debug mode? Do you stick with the same model or switch to a new one?
What's the best AI model for coding?
fmerianJoin the discussion
Yuanyuan Zhangleft a comment
Congratulations on the launch! The screenshot capture feature is a genius move! I constantly find myself with a gallery full of reminder screenshots that just go to die because I never organize them. Does the Ai automatically set deadlines if it detects a date in the screenshot?

GetThisGenerate tasks from voice, text, or screenshots.
Yuanyuan Zhangleft a comment
The 'Zero Upload' approach is the only way I’d trust a tool with my personal photos. Knowing that the scrubbing happens 100% in the browser (client-side) is a huge selling point for privacy-conscious users. Does DropTidy support HEIC files from iPhones or RAW files from professional cameras, or is it primarily focused on JPEGs and PNGs? Supporting mobile-native formats would make this an...

DropTidyRemove sensitive photo data, 100% client-side & zero uploads
Yuanyuan Zhangleft a comment
The 'Docs as Code' approach is the only way to truly fight drift. Keeping docs in the repo ensures they undergo the same PR process as the code, which is a massive win for consistency. You asked for honesty: I’d definitely use this if it replaces the nightmare of syncing Notion/Confluence with GitHub. My question: (1) Since the docs live in the repo, how does Doclific handle non-technical...

DoclificDocumentation that lives with your code
Yuanyuan Zhangleft a comment
Eliminating the 'copy-paste dance' between the browser and the text field is a huge UX win. It’s one of those friction points we just got used to, but didn't realize how annoying it was until a solution like Clippy arrived! The Linear and Google Calendar integration via voice is a game changer for productivity. My question: Which local model are you currently using for the 'context-aware' part?...

Clippy, but on Steroids"Hey Siri" with MCP calls and local LLM
Yuanyuan Zhangleft a comment
Love the simplicity here! Building and maintaining internal scrapers to bypass CAPTCHAs is a nightmare for small teams. I’m curious: How do you handle the freshness of the data? Is it crawling in real-time when the API is called, or are you serving results from a pre-indexed cache? For a high-frequency tool like a price tracker or a daily research agent, what’s the typical latency we should...

Web search API by CrustdataAccurate and the fastest web search API for AI Agents
