Omni is the AI engineer that takes your agents from a laptop to the cloud. Today, your best AI workflows still live in Claude on your machine - stopping when the lid closes, running for no one but you. Describe what you want, or bring what you've built, and Omni wires the tools and skills, tests on mock data, and hands you a running cloud agent: scheduled, long-running, shareable with your team. It keeps agents healthy too - improves system prompts, compares models, debugs and fixes failed runs.
This comment was fully written by an actual human. Yes really
Hi hunters,
Ran here, co-founder of xpander.ai.
If you ever found yourself troubleshooting OpenClaw or Hermes at 2am, staring at Cowork or Claude code waste your tokens on failed jobs, or got stuck in a 100-prompt loop trying to achieve something with your "AI Assistant" - then this product launch is for you.
We built Omni so you can start using AI, instead of tinkering with it.
Omni is your agentic teammate
You ask, and Omni executes like an extremely useful generalist agent. Then, it can actually build your custom agents that are mission-specific for any business process you have - it wires the connectors and skills, sets up the system prompt and schedules, then tests and ships it.
After that, it does the part that used to eat up your time as you tried to stand up something that really brings value: reading the logs, troubleshooting failed runs, optimizing performance, and benchmarking models for cost and quality to pick the right one for the task.
The babysitting is Omni's job now, not yours.
Real asks from early users:
"Benchmark this agent across latest Sonnet, GPT, and Qwen models. Tell me which is cheapest at the same quality."
"Watch our cloud bill. When something spikes, find the cause and post it in Slack."
"Every morning, pull yesterday's signups, enrich them, and drop the interesting ones in our channel."
"Last night's run failed. Figure out why and fix it."
Omni works great if you're a solo-user, but is designed for Multiplayer AI work - Agent builders can share their agent with other team members, so their hard work doesn't stay confined to only making themselves great at their job, but the entire team or organization.
It's built on xpander enterprise-grade agent infrastructure
Omni is an omni-present AI Agent built on top of the xpander platform - a battle tested agent infrastructure product that already drives Agentic AI in Fortune 500 companies across various industries, and different sizes small-medium enterprises. Omni is just the latest addition to that platform, that makes driving it automatic, easy, and fun - instead of manually standing up AI infrastructure and building agents, you can start just getting ROI from agents.
Some of these capabilities that are relevant if you're a part of a company with agent infrastructure requirements:
Self-deploys to any cloud, your VPC, on-prem, or fully air-gapped.
Sandboxed on isolated compute
2,000+ spec-enriched tools and MCP connectors, plus create a connector to any API
Runtime environment optimized for security - for example, secrets are injected from a vault into downstream tools, with the model never seeing a secret.
Choose any model from any provider, instead of getting married to the major AI labs.
Permissioned per user and audited on every action. This platform has passed significant enterprise security reviews.
Omni puts the power of agentic AI in your hands without all the required tinkering.
We really hope you'll love the product and the experience - we're waiting for you to let us know here in the comments, or in the built-in feedback screen in the product.
This feels like the missing layer between “we should build an agent for this” and actually having one running in production. Really curious to see how Omni handles debugging and improving agents once they’re live. Congrats on the launch!
Congrats on the launch! Moving agents from local setups to cloud environments with automated testing on mock data solves a massive bottleneck. The custom runtime and model benchmarking capabilities sound impressive. Best of luck today! 🚀
Really like how this takes away a lot of the annoying setup around running agents in the cloud. The auto-debugging part is especially interesting — feels like something that could save a ton of time. Curious to see how it works in practice!
@ran_sheinberg The mock-data-to-cloud path is the part that stands out here. For an agent that can repair failed runs, what is the default approval boundary: can Omni change prompts, models, schedules, and tool permissions autonomously, or are higher-risk changes proposed with a diff and rollback point first? That audit trail seems especially important when the same agent can reach production systems.
Really like the “stop babysitting your agents” framing. Getting an agent working locally is pretty easy now, but keeping it running reliably in the cloud is still way more annoying than it should be.
Curious how Omni handles long-running agents when something fails halfway through a task. Does it automatically retry/resume with the existing context, or does the developer need to define that behavior?
Congrats on the launch!
The “stop babysitting your agents” part got me 😅 I’ve had way too many workflows that work perfectly until I close my laptop or something quietly breaks overnight. Really like the idea of taking care of the deployment and the messy debugging afterward. Congrats on the launch!
Who pays for the tokens on scheduled runs? that's usually where these get expensive fast.
Sounds cool. I liked the part about the daily signup summary and catching the bug in the push to the PR.
Benchmarking models for cost at the same quality sounds so useful. going to check it out soon.
Huge congrats on the launch! "Stop babysitting your AI agents" hits the exact pain point so many builders and teams are facing right now as agentic workflows scale. Love seeing tools that focus on execution reliability and autonomy rather than just hype. Excited to see how this evolves and saves teams endless hours!
Congrats on the launch! sounds like an interesting tech.
Can you please share more details about the runtime environment? are you using some off-the-shelf harness or did you build your own?
the "stopping when the lid closes" line hit home - I was literally in a forum thread yesterday about caffeinate vs actual lid-close sleep on macOS for this exact reason, so this feels like the real fix past that hack. curious about the "compares models to pick the right one for the task" part specifically - once an agent is running fine on a given model, what triggers a re-comparison? is it every scheduled run, only on failure, or only when I ask, and if it decides to switch mid-flight does that need my approval or does it just swap silently
The mock data testing before putting an agent in the cloud is a really useful touch. It could save a lot of debugging time later.
Real question, how much of the 'fixes itself' actually works vs needs me to step in.
Not being cynical, I've just been let down by this claim before.
what happens if a scheduled run hits something that needs a human decision. does it wait, ping someone, or just die?
Congrats on the launch! BTW, when a target site changes its layout, does the Bot auto-detect the break and self-heal, or does it silently start returning bad data until you notice?
About Omni by xpander on Product Hunt
“Stop babysitting your AI agents”
Omni by xpander launched on Product Hunt on August 17th, 2026 and earned 379 upvotes and 29 comments, earning #2 Product of the Day. Omni is the AI engineer that takes your agents from a laptop to the cloud. Today, your best AI workflows still live in Claude on your machine - stopping when the lid closes, running for no one but you. Describe what you want, or bring what you've built, and Omni wires the tools and skills, tests on mock data, and hands you a running cloud agent: scheduled, long-running, shareable with your team. It keeps agents healthy too - improves system prompts, compares models, debugs and fixes failed runs.
Omni by xpander was featured in Slack (72.2k followers), Artificial Intelligence (477.3k followers) and Virtual Assistants (16.1k followers) on Product Hunt. Together, these topics include over 120.1k products, making this a competitive space to launch in.
Who hunted Omni by xpander?
Omni by xpander was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Omni by xpander stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
This comment was fully written by an actual human. Yes really
Hi hunters,
Ran here, co-founder of xpander.ai.
If you ever found yourself troubleshooting OpenClaw or Hermes at 2am, staring at Cowork or Claude code waste your tokens on failed jobs, or got stuck in a 100-prompt loop trying to achieve something with your "AI Assistant" - then this product launch is for you.
Omni is your agentic teammate
You ask, and Omni executes like an extremely useful generalist agent. Then, it can actually build your custom agents that are mission-specific for any business process you have - it wires the connectors and skills, sets up the system prompt and schedules, then tests and ships it.
After that, it does the part that used to eat up your time as you tried to stand up something that really brings value: reading the logs, troubleshooting failed runs, optimizing performance, and benchmarking models for cost and quality to pick the right one for the task.
The babysitting is Omni's job now, not yours.
Real asks from early users:
"Benchmark this agent across latest Sonnet, GPT, and Qwen models. Tell me which is cheapest at the same quality."
"Watch our cloud bill. When something spikes, find the cause and post it in Slack."
"Every morning, pull yesterday's signups, enrich them, and drop the interesting ones in our channel."
"Last night's run failed. Figure out why and fix it."
Omni works great if you're a solo-user, but is designed for Multiplayer AI work - Agent builders can share their agent with other team members, so their hard work doesn't stay confined to only making themselves great at their job, but the entire team or organization.
It's built on xpander enterprise-grade agent infrastructure
Omni is an omni-present AI Agent built on top of the xpander platform - a battle tested agent infrastructure product that already drives Agentic AI in Fortune 500 companies across various industries, and different sizes small-medium enterprises. Omni is just the latest addition to that platform, that makes driving it automatic, easy, and fun - instead of manually standing up AI infrastructure and building agents, you can start just getting ROI from agents.
Some of these capabilities that are relevant if you're a part of a company with agent infrastructure requirements:
Self-deploys to any cloud, your VPC, on-prem, or fully air-gapped.
Sandboxed on isolated compute
2,000+ spec-enriched tools and MCP connectors, plus create a connector to any API
Runtime environment optimized for security - for example, secrets are injected from a vault into downstream tools, with the model never seeing a secret.
Choose any model from any provider, instead of getting married to the major AI labs.
Permissioned per user and audited on every action. This platform has passed significant enterprise security reviews.
Omni puts the power of agentic AI in your hands without all the required tinkering.
We really hope you'll love the product and the experience - we're waiting for you to let us know here in the comments, or in the built-in feedback screen in the product.
Free to start now at chat.xpander.ai.