Easy Tools Dev

30 posts/month on autopilot solves the consistency problem agencies face. I'm curious about the backlink credits—do you control the network of blogs they link from, and how do you ensure Google doesn't flag them as low-quality PBNs?

Rust + ratatui is the perfect stack for a TUI cleaner—fast and no bloat. The "moves to Trash, not permanent delete" design choice shows real user empathy. How does it handle detecting safe-to-delete node_modules when a project might still be active?

Connection Pool for local mesh networks is brilliant—I've needed this for off-grid team coordination. Does it use Bluetooth or local WiFi, and what's the realistic range when devices aren't on the same network?

"Without messy DMs or PDFs" perfectly captures the creator-brand collaboration pain point. When brands discover talent through your platform, do they see portfolio performance metrics (like engagement rates), or is it purely work samples?

The "automatically select high-performing CTAs" feature is smart—most schedulers just blast the same message everywhere. Does it learn from your account's past engagement data, or does it pull from a broader database of what works across similar industries?

I've burned 6 months building something nobody wanted, so the "save $50K+ in failed startup costs" claim speaks to me. The key question everyone's dancing around: how does the AI distinguish between "actually bad idea" versus "good idea, wrong execution"? For example, if I submit "Uber for lawn mowing" (which sounds silly but is a real business called GreenPal), does it evaluate the underlying...

The "rebuilt from ground up" part resonates—I've seen too many products bolt features onto shaky foundations. The Novel workspace with visual canvases and timelines is exactly what I've been cobbling together with Miro + Notion + Scrivener. Here's my specific use case: when writing a multi-POV story, can the timeline show events from different character perspectives simultaneously, or does it...

The overnight agent execution model is brilliant—I've wasted so many hours babysitting long-running tasks. The Tauri vs Electron choice caught my eye (finally, someone ditching the bloat). My main concern is error recovery: if an agent hits a breaking change in your codebase at 3 AM and pauses, does the artifact review UI show you exactly where it failed with a diff, or do you wake up to a...

The "Socrates writing" approach is fascinating—I've tried other AI writing tools, but they all produce generic output because they lack project context. What I'm most curious about is: when the AI understands your workspace, does it actually read your character database and timeline to maintain consistency (like remembering that your protagonist can't be in two places at once), or is it more...

I've been using the "It Works" method informally for years—writing goals in Notion, tracking revenue in spreadsheets, but never connecting the two. The "32 days later, it became evidence" story hits hard. My biggest question is about the Intelligence feature: when you say it finds "where you fool yourself," does it compare your written intentions against actual outcome timelines to surface...

The non-linear canvas approach resonates—I've had the same problem with Obsidian's folder structure not matching how ideas actually connect. The Telegram integration is smart for capturing fleeting thoughts. My biggest question is about the AI connection-building: does it use semantic similarity to link notes, or does it analyze actual content relationships? And when you ask AI to "analyze a...

Building this while recovering from surgery is genuinely inspiring—accessibility-driven design often creates the best productivity tools. I've tried other Windows dictation apps, and they all break on technical terms or code snippets. Since you mentioned using it for work one-handed, how does it handle domain-specific vocabulary? Can you train it on custom terms, or does Whisper's base model...

24/7 local recording is brilliant for context retrieval, but storage must be massive. I'm doing similar work tracking research sessions, and my biggest concern is disk I/O becoming a bottleneck when indexing hours of screen data. How does the CLI handle compression and indexing—does it continuously write raw frames, or is there intelligent sampling? And when querying via Claude, are you...

The "zero missed calls" promise is compelling for service businesses, but I'm curious about edge cases. When the AI agent encounters something genuinely ambiguous—like a customer asking about a product you discontinued last month—does it gracefully transfer to a human, or does it attempt to handle it and risk providing outdated info? Also, how does lead qualification work for businesses with...

The Value/Effort matrix is a solid prioritization framework, but I've seen teams struggle when stakeholders all score their requests as "high value." How does the system handle conflicts when multiple teams rate their feedback differently? Does it support weighted voting by user segments, or is there a way to normalize scores across different internal groups to avoid the "everything is urgent"...

The "AI coworker" framing feels more accurate than "assistant"—screen sharing + voice makes it genuinely collaborative. I've tried Granola and Limitless, but they're reactive (process after the fact). Real-time screen understanding could be powerful for debugging sessions. One friction point I'm thinking about: how does it handle context switching when I jump between 8 browser tabs mid-call?...

15 billion tokens in 3 months is incredible dedication. I've lost count of how many Claude Code sessions I've abandoned after hitting weird errors, then forgot the solution when the same issue came up weeks later. The heatmap is great for pattern recognition, but I'm most curious about the leaderboard's incentive structure. Does high token usage actually correlate with better output quality, or...

I've been using Wispr Flow with the hold-to-talk approach, and the toggle mode here is interesting—different mental model. The floating mic is smart for context switching, but I'm wondering about accuracy in noisy environments. Does the on-device Apple recognition handle background noise better than the AI fallback, or is it purely a speed/privacy tradeoff? Also, does SHIFT+R work globally...

I've manually installed OpenClaw before and it took me 3+ hours of debugging Python dependencies and TURN server configs. The pain point you're solving is real—one-click setup removes the biggest adoption barrier. Curious about resource usage: if I'm running multiple agents across WhatsApp, iMessage, and Slack simultaneously, does each spawn its own browser instance? That could get heavy on...

The Guardian Score concept is brilliant—I've seen too many "LGTM" reviews that miss obvious issues. My biggest concern with scoring systems like this is calibration: how does it distinguish between a senior dev who catches subtle performance issues versus someone who nitpicks code style? Also, does the score account for false positives, or is a rejected suggestion counted as a negative even if...