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yamaleft a comment
The ability to import any URL and edit it freeform is a nice workflow for quick mockups or client revisions. I'm curious how it handles JavaScript-heavy pages—does it capture the rendered DOM state, or only the initial HTML? For single-page apps, that distinction could matter quite a bit.
HtmlDragA freeform canvas for any HTML (no grids, no wireframes)
yamaleft a comment
The zero-knowledge architecture with AES-256 is reassuring for sharing sensitive data. I'm curious about the new Burn Box feature—does it support rate limiting or CAPTCHA to prevent abuse when the link is public? For teams sharing credentials or API keys temporarily, that could be a helpful safeguard.
Burner NoteZero knowledge self destructing notes
yamaleft a comment
The AI-powered natural language commands caught my attention—writing automation with plain English instead of brittle selectors sounds practical. I'm curious how it handles edge cases like dynamic content or sites with heavy JavaScript rendering. Does the AI retry with different strategies when an action fails?
Owl BrowserUndetectable browser automation that behaves like a user
yamaleft a comment
The Context Builder approach sounds practical for larger codebases—isolating relevant code before passing to reasoning models makes a lot of sense. I'm curious how it handles multilingual codebases where comments and variable names mix languages. Does the discovery agent factor in those language patterns when building context?
Repo PromptAutomate assembling the perfect context for your project
yamaleft a comment
The spec-first approach resonates—I've seen plenty of vibe-coded apps where early assumptions snowball into major rewrites. I'm curious how the system handles evolving requirements mid-project. Does the AI co-founder flag when new requests conflict with the original spec, or does it silently adjust?
Spec Coding by CapacityVibe Coding with a planning assistant to build with clarity
yamaleft a comment
The ability to run locally with your own GPU is a nice option for sensitive data. I'm curious about the schema inference—when connecting multiple data sources with overlapping but slightly different schemas, how does Livedocs handle reconciliation? Does it prompt for manual mapping or attempt automatic resolution?
LivedocsThe general data agent
yamaleft a comment
The local-first approach is a nice touch for privacy. I'd be curious to know how the search handles multiple projects — can you filter or tag sessions by project context? Also, any plans for an export feature to share specific session summaries with teammates?
yolog.dev DesktopNever lose a vibe coding session. Archive, replay, search.
yamaleft a comment
Interesting approach to handling conversation state. I'm curious about multilingual support — how does the API handle context and memory for non-English conversations? Also, does it offer any webhook integration for real-time events like new messages or conversation summaries?
Conversation API Build chatbots with memory using just an API
yamaleft a comment
The separation of delivery concerns from agent logic makes sense for production deployments. I'm curious about the Filter Chains approach—does Plano support async guardrail processing for latency-sensitive agents, or is it primarily synchronous?
PlanoBuild agents faster, and deliver them reliably to production
yamaleft a comment
The @cogni trigger is an elegant approach to memory recall - avoids switching context between tools. Curious how CogniMemo handles semantic search when the saved content is in different languages, since many developers work across multilingual docs and codebases.
CogniMemo ExtensionAI memory tool that lives where you work
yamaleft a comment
The Tailwind config export is a nice touch - manually setting up design tokens from scratch can be tedious. For sites that use custom CSS properties or design systems, does MiroMiro extract the variable relationships, or does it inline the computed values?
MiroMiroCopy any website's design & assets in one click
yamastarted a discussion
Hi from Tokyo — software engineer exploring AI for tech content curation
Hi everyone. I'm a software engineer based in Tokyo, working on Stream Tech AI — an AI-powered service that curates and summarizes Japanese tech articles for the global dev community. I noticed a lot of valuable content on platforms like Zenn and Qiita rarely reaches developers outside Japan, so I wanted to help bridge that gap. Currently preparing for a Product Hunt launch and would love to...
yamaleft a comment
The warm-up approach before promotion makes sense - credibility matters on Reddit. I'm curious about the analytics side: does Scaloom track which subreddits or engagement patterns are actually converting, so users can refine their strategy over time?
Scaloom AIReddit marketing made-easy tool
yamaleft a comment
The focus on linking back to original sources rather than replacing reporting is a thoughtful approach. I'm working on something similar for Japanese tech blogs, so this resonates. Are there plans to expand beyond English-language publications, or is the AI summarization pipeline language-specific?
NutgrafeThe news, reduced to what matters.
yamaleft a comment
The mention of helping AI models write consistent code caught my attention. With more teams using AI for code generation, having a zero-config linter that enforces standards automatically makes a lot of sense. Does the cloud platform track any patterns in how AI-generated code compares to human-written code in terms of lint warnings?
Ultracite v7Opinionated, zero-config code linter and formatter
yamaleft a comment
The single API approach to persistent memory is appealing - managing vector DBs and retrieval logic can get complicated quickly. For agents that need to handle multiple users or different memory contexts, how does the subject_id isolation work? Is there a way to share certain memories across subjects while keeping others private?
Mnexium AIPersistent, structured memory for AI Agents
yamaleft a comment
The multilingual transcription with native language support is a nice touch. I'm curious about the caching strategy - when processing videos in batches, does the cache handle different language combinations for the same video separately? For instance, if you transcribe to English first and later need Japanese output.
youtube-mcp-serverMCP server for YouTube video transcription and metadata.
yamaleft a comment
Data quality is often the bottleneck that teams overlook. This approach to identifying high-impact datasets could save a lot of wasted compute cycles. I'm curious about how Dowser handles cases where a dataset's influence varies depending on the existing training data composition - does it account for those interaction effects?
Democratizing dataset influence on model performance
Victor StrandmoeJoin the discussion
yamaleft a comment
Solving the read-only limitation of the official MCP server is a nice approach. When the AI agent makes edits to a Figma file, does it preserve the existing layer structure and naming conventions? I'm curious how it handles complex component hierarchies.
Community Figma MCP serverAllow AI Agents to help you with Figma designs!