@tiagosoaresv · X

u/person-person12 · Reddit

The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b

@LifeGraphPlus · X

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP

@xpertvex · X

Building A platform to validate your startup idea with AI before you build it.

@matthew_meadows · X

Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.

@CodeBullapp · X

Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

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

bingkunzhao · V2EX

开发了一个识别是否是 AI 生成图片的工具 https://imageaichecker.com/ 上传图片，可以判断是否是 AI 生成的，每天 3 次免费

oceanplexian · HN

I Built OpenClaw for Stocks

@bnscoin · X

Please drop a feedback about be honest