Productivity1 week ago
Ashive
AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X
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60 projects
AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X
AI-driven browser testing, API testing, and accessibility scanning for your SaaS application.
@EveryDayFSDev · X
I’m building catch SaaS bugs before your users do: plain-English flows + AI browser automation that adapts to changes and wires straight into CI/CD.
Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X
Turn conversations into verified API schemas and specifications.
@NeuralArchitec · X
Vibe coding a smart wallet is high-stakes. One logic gap and the funds are gone. We bridge that risk by turning messy vibe thoughts into verified schemas and API maps. Build fast, stay precise. 🏛️
Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.
Run multiple AI models like Claude and Grok side by side using your existing API subscriptions.
@ContinuumCode · X
AI voice agent widget you can embed on your website to automate customer interactions.
@Aicassai · X
Ai voice widget for website ... Demo:
Virtual pet companion that crawls your browser viewport and responds to page topics.
@fujidevv02 · X
the world's first context-aware, local AI browser pet companion!
Capture UI elements with code context and screenshots to share with AI agents for debugging visual bugs.
Loerei · HN
I found that describing where a broken UI is and taking screenshots for AI agents really sucks. I’m too lazy to explain an indescribable visual bug or capture a millisecond-long flash. I also don’t want to remember which file defines an element, whether it's right in the .tsx or a problem with the Parent Styles in .css. And even if you can point out the exact file, your agent still has to dig through thousands of lines of code to know what on earth you're yapping about. In a 7700-file monorepo like Cal.com, simply giving the right file in the prompt for your agent saves about 68.9% of execution time and 94.2% of the tokens your agent needs to digest. HoverSource gives all the needed information and further pushes it to -88.5% time and -94.5% tokens, basically skipping the entire digging session and jumping straight to reasoning and executing. The save is linear to how big your codebase is. I want to save tokens, but don’t want to spend my time and energy digging manually, and a junio
An AI copilot ecosystem that helps with tasks across life, work, and personal development.
@GenesisAIApps · X
A smart AI copilot ecosystem for life, work, and beyond the stars.
Build production-ready websites, mobile apps, games, and internal tools by chatting with AI completely for free.
@Swapnil1256 · X
Try building your products on (AI App Builder) it's completely free!! @ideavo_ai
Store and share prompts, rules, and context that AI tools like Claude Code, Cursor, and ChatGPT can access via MCP.
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source: