AdWait shows one small labeled ad in the corner while your AI tool is generating, and credits you half of what that ad pays. When the response lands, it disappears.
No signup, no account. It never reads your prompts or responses. Cash out from $5.
Works on ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, Microsoft Copilot, Replit, and Base44. The place it actually adds up is agent runs. A ten-minute Claude Code or Replit session is roughly 85 ad rotations, and you were sitting there watching a spinner anyway.
Solo founder, first product, eighteen, currently in Seoul. It goes live late-august, so it is not installable yet and I am not asking anyone to try it. What I want is for you to tell me where the idea breaks.
Like many of you, I noticed a huge problem: your team's updates, context, and project status end up everywhere except one place. So you're constantly asking "where are we?" and digging through Slack, email, spreadsheets.
I run eight small browser tools and use Search Console data to choose one change at a time. InvoicePad had 1,090 impressions and zero clicks in the last 28 days. The query 'web development invoice' alone had 75 impressions and no clicks, so today I rewrote only the page title and redeployed it.
The free template is here: https://invoicepad.net/web-devel...
I'm rethinking the weekly uptime report. Most monitoring tools send pages of metrics. We're experimenting with something different: A weekly email with one simple action: Generate AI Weekly Summary Instead of scanning charts and percentages, you'll get an AI-generated explanation of what actually happened across your monitored services that week powered by your own monitoring data. The goal is simple: Less time reading metrics.
More time understanding your infrastructure. Would an AI-generated weekly reliability summary be something you'd actually use?
I m building an AI-powered self-care & productivity app that helps people stay on track with their goals through personalized daily tasks, adaptive coaching, and progress check-ins.
Before going too far, I want to validate the idea and make sure it solves real problems.
I put together a quick 3-minute survey to gather honest feedback from potential users:
I built Codex Desktop Custom Models because experimenting with alternative model providers inside one desktop installation can quickly mix sessions, automation state, ports, and provider-specific configuration.
Instead of modifying the main Codex setup, the project creates isolated desktop profiles. Each profile can have:
I built Toolboard because my browser workflow was fragmented across too many single-purpose extensions.
It started with a small set of utilities and eventually grew into 83 tools for inspection, capture, conversion, productivity, and optional AI-assisted workflows.
