One thing I ve been thinking about while building is that our real competitor often isn t another startup. It s the spreadsheet someone already has, the manual process that s good enough, the employee who s always handled it, a messy collection of tools, or increasingly, just opening ChatGPT and asking it to figure something out.
So I thought it could be fun to turn that into a little product arena.
I've been building AIOProductOS for the past few months. It keeps revenue, feedback, roadmap and outcomes on one customer record instead of scattered across five tools.
I did not expect this platform to do what it has done for me the last two weeks.
I have spent hours commenting on other people's launches here, mostly because I like thinking through other people's problems, not because I expected anything back. A few of you took the time to actually argue with me, update your product off something I said, or just answer honestly instead of leaving a one line thank you. That kind of attention from someone who owes you nothing is rare, and some days it has meant more to me than I expected a forum comment to mean.
Kinetic is a safety observability platform for LangChain, CrewAI, AutoGen, and custom autonomous AI agent fleets.
Stop expensive runaway agents before they burn your credits. Key Features Live LLM entropy & integrity scoring (detects hallucinations and drift in real time) Smart auto kill-switches (70% warning 85% auto-kill threshold) Atomic fleet-wide "KILL ALL" with proper transaction safety Rich alerts feed: Jailbreaks, Cost Spikes, Tool Misuse, Tone & Toxicity, Drift
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Execution Trace Explorer with latency breakdowns
Configurable policy engine (Anti-Jailbreak Basic/Aggressive, Cost Guardrail, PII Filter, Latency SLA, etc.) Webhooks, detailed telemetry, and SDKs (Python + Node.js) Live Demo
Try it now https://kinetic-observability--k... Closed Beta Offer
Join the beta and get 3 free agent slots with Direct founder support included. Who is it for?
AI engineers and teams running production or heavy-testing autonomous agents who want reliability and cost protection. Currently in closed beta with active development based on real user feedback. Artificial Intelligence, Developer Tools, SaaS
Having tried almost everything in the E commerce space, my friend and I realised that the biggest problem with the space is that almost everyone on Tiktok/Instagram is just trying to sell you a course or just show off their lifestyle. It's impossible to know who's actually helping you and who just wants to sell you something.
I've been building Calibra, an open-source dataset observability and coreset optimization tool for robot learning.
It checks things like timestamps, duplicate/frozen frames, blurry cameras, jerky motion, action-state divergence, quality, and behavioral coverage.
The interesting part is the optimization side: across several public robotics datasets, we've found that quality-aware selection can preserve model performance while using substantially less training data than the full dataset or random selection.
