ClawTick is a cloud scheduler built specifically for AI agents. Schedule LangChain, CrewAI, or webhook tasks with one CLI command. Get built-in monitoring, failure alerts, automatic retries, and execution logs — without managing servers or writing cron infrastructure. CLI for agents, dashboard for humans. Free tier included
Hey PH!
I'm Abdelhak, solo founder of ClawTick.
I built this because I was running AI agents that needed to fire on a schedule — daily reports, periodic data checks, automated follow-ups. The options were: manage my own cron on a VPS, or glue together EventBridge + Lambda + monitoring + alerting myself.
Both felt like too much infrastructure for what should be a simple problem: "run this thing every day at 9am and tell me if it breaks."
So I built ClawTick. One CLI command to schedule a job. Built-in monitoring, failure alerts, and automatic retries. A dashboard to see what's running. No servers to maintain.
It's designed to be agent-friendly — minimal tokens to schedule tasks programmatically, so your AI agents can create their own schedules without burning context.
Free tier: 10 jobs, 1,000 triggers/month. Would love your feedback on what to build next.
"CLI for agents, dashboard for humans" is the cleanest way to position this — the moment scheduling has to happen, you want CLI; the moment you want to know what fired and what failed, you want UI. We hit the same split on PolyMind, which polls Polymarket trades and pushes alerts: the trigger logic lives in scripts (CLI-shape), but the human side wants a panel showing "what fired in the last hour and was it noise." One thing I'm curious about — do you treat retry-with-exponential-backoff as a knob the agent author sets per job, or as a global default with override? Most failure modes I've seen in scheduled-AI come from wrong defaults, not missing features.
Cron jobs for AI agents make sense because the boring scheduled work is usually where agents become useful. I’d want strong logs and retry behavior more than fancy setup, since silent failures are the part that hurts in production.
Scheduling AI agents is way harder than it looks - cron is simple enough but retry logic, timeouts, and observability turn into a mess fast. Does ClawTick give you per-job logs and failure alerts out of the box, or is that somthing you wire up yourself?
this is the layer i didn't realize i needed. the "one command, zero infra" framing matters because most agent-cron approaches assume you already have a scheduler running somewhere.
quick q: when a cron fires and the agent does work, do you carry the cron run id through to the agent's downstream tool calls, or does it get lost? curious how you handle that for traceability.
About ClawTick on Product Hunt
“Cron jobs for AI agents w/ one command, zero infrastructure”
ClawTick launched on Product Hunt on May 9th, 2026 and earned 92 upvotes and 9 comments, placing #10 on the daily leaderboard. ClawTick is a cloud scheduler built specifically for AI agents. Schedule LangChain, CrewAI, or webhook tasks with one CLI command. Get built-in monitoring, failure alerts, automatic retries, and execution logs — without managing servers or writing cron infrastructure. CLI for agents, dashboard for humans. Free tier included
ClawTick was featured in Productivity (651.8k followers), Developer Tools (512.5k followers) and Artificial Intelligence (468.7k followers) on Product Hunt. Together, these topics include over 295.5k products, making this a competitive space to launch in.
Who hunted ClawTick?
ClawTick was hunted by Abdelhak Akermi. 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.
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