
Automate AWS EC2 & RDS Scheduling - ParkMyAWS
Schedule AWS EC2 and RDS instances to shut down during off-hours, reducing infrastructure costs.
@moisis_h · X
Launched recently and onboarding users
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Schedule AWS EC2 and RDS instances to shut down during off-hours, reducing infrastructure costs.
@moisis_h · X
Launched recently and onboarding users

Deploy AI inference models on serverless GPUs with sub-200ms cold starts and pay-per-second billing.
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.

Monitor servers with uptime checks and on-call escalation powered by AI root-cause diagnosis.
@iamjackwiz · X

Sync data across devices in real-time with automatic security inspection via an API.
@mygridsyncdev · X
Just launched GridSync ⚡️ Sub-150ms zero-trust payload inspection & real-time sync for modern APIs. Try the free tier on RapidAPI or check out the docs: #buildinpublic #API #FastAPI

Trace, replay, and verify AI agent decisions with signed audit trails for debugging.
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

AI-powered code review that runs code in microVMs to catch more bugs.
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

Capture bugs with code and triage them on a real-time kanban board.
@s_b_1805 · X

AI-powered security auditor that scans GitHub repos to find vulnerabilities and suggest fixes.
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th

Checks apps for production-readiness issues like security, functionality, and reliability.
u/jjd921 · Reddit
Production readiness checker With AI coding and the low barrier to entry now I see a ton of people publishing apps with serious issues. I tried to build something to help with this. It’s a tool that checks apps for production-readiness issues (security, functionality, reliability, accessibility, etc.) and creates a GitHub PR with the fixes. Automatic scans on every push/PR and deterministic auto-fixes are completely free. Do you see something like this being useful?: https://theslopstopper.c

Monitor server uptime, SSL certificates, and service availability for your infrastructure.
@Robby_Seventeen · X

IronClaw: Unleash Your AI Agent, With Peace of Mind. The open-source secure runtime that runs AI agents in encrypted enclaves on NEAR AI Cloud.
@joespano_ · X
Got a weekend project in mind? Try this, instead of using expensive, NON-private agents to help, I recommend trying out. Six simple reasons why: 1. There is a completely free version (everyone likes free) 2. It is private, no one is harvesting your data 3. It has ways to easily add a regular routine/automation 4. It does research well 5. Its inexpensive, I made a react-based webapp yesterday for 2 cents, literally. 6. The benchmarks are solid against other agents. I'll be sharing my experience using Ironclaw as well as building on a full product on NEAR AI a lot over the coming weeks.

Monitor website uptime and collaborate on writing with a real-time dashboard.
@andxh2 · X
took me a while, mainly self doubt but I finally get to quote this, built an uptime monitor and a collaborative writing app with FastAPI best part for me was the VPS setup and deployment process. yeah and vibe coding the frontend.