haseebejaz · HN

TokenSpend, the AI ROI Solution

JulianQuinn · HN

Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP

@marcin_u2 · X

-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

@theaimart · X

Get the highest accurate responses via if you want your vibe coded app doesn’t hallucinate in production

@lologfts · X

built Apiarium, with one api key you can choose multiple Ai models, easy integration

@otakuaakash · X

@andreasacca · X

Inspired by @robj3d3’s that went viral last week. Over the past year working with ecommerce brands I kept hearing: “I only use 10% of this SaaS and I’m paying hundreds for it.” So I built the Ecommerce focused version: 200+ tools analysed. Honest verdicts on what you can realistically vibecode. Vibecoded entirely with @Lovable + some fixes, starting from the prompt taken from First detailed analyses coming soon. Reply with the tool you pay for every month. Thanks @robj3d3 for the inspiration! Loving X

suraj_chopade · Product Hunt

SwarmTrace Time-travel debugger for multi-agent AI pipelines

dobby_lee · HN

Open-Source for AI tool status checker

tahazsh · HN

Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@sacsandc4 · X