@pakosteve · X

Improve your SaaS quality when scaling (by register requirements and test via MCP)

@proyecto_cripto · X

@__orderandchaos · X

@TradingResXYZ · X

Material catalyst events scored by our research pipeline — every call logged on issue, auto-closed on its holding period, and benchmarked against the sector ETF. The track record is the pitch.

@aryaan_sheth · X

- LLM security for small teams

adeeonline · HN

AgentsProof – a small project for testing AI agents

@KSFirasa · X

Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

@mr_wickedhacks · X

Write the doc once → get a notebook, slide deck, canvas, or resume from the same source. No rewriting for every format.

@theshaunak_twit · X

@guhanvenkaty · X

Tako's free preview is live: Paste your URL, get a security verdict on your vibe-coded app in 60s. Not an AI wrapper: it fires real requests and PROVES exposure, pulling data from your open DB with no login. Scanning puts you on the early-access waitlist.

@VaraadDurgaay · X

Solving the prb of observability in ai agents

u/Budget_Lawfulness_33 · Reddit

I made a tool that bridges the gap between vibe coding and actually knowing what you shipped A lot of people are shipping things they don’t fully understand anymore. With the new flagship models such Claude/Codex and people spending hundreds on AI subscriptions to build faster, apps are being shipped quicker than ever. But when you’re constantly throwing prompts at AI, adding features, and moving fast, it’s easy to lose track of what actually made it into your codebase. So I built: https