I built a tiny tool to monitor cron jobs and scheduled tasks — looking for feedback
Hey everyone,
I recently built the first V1 of MissedRun — a small tool for monitoring cron jobs, scheduled scripts, imports, backups, ETL jobs, and other recurring background tasks.
The idea is simple:
- you create a monitor
- you get a ping URL
- your cron job or script calls that URL when it runs
- if the ping is late, missing, or reports failure, MissedRun marks the job as needing attention
I built it because I’ve had background jobs silently fail before, and I wanted a very simple way to see whether scheduled jobs are still alive.
The V1 currently has:
- monitor creation
- ping URLs
- start / success / fail pings
- late / missed / failed statuses
- monitor history
- basic account system
- docs with curl / bash / Python examples
It is still very early, so I’m not trying to make a big launch yet. I’m mainly looking for feedback from developers, indie hackers, and people running cron jobs or background tasks.
I’d love to know:
- Is this problem something you’ve dealt with?
- Is the current V1 clear enough?
- What would be the minimum feature that would make you actually use it?
Site:
https://missedrun.com
Thanks — any honest feedback would help a lot.
oh this is the kind of boring tool i actually need. i've got a couple cron jobs that silently died for like a week before i noticed lol. the ping-url approach is clean. does it catch a job that runs but fails halfway, or just the ones that dont run at all? thats the failure mode thats bitten me most.
Yeah, that’s the exact case I’m trying to support.
There are two modes:
Simple mode:
the job only pings success when it finishes. If it never checks in, it becomes late/missed.
More explicit mode:
the job pings start when it begins, success when it finishes, and fail if your script catches an error. If it sends start but never sends success/fail, MissedRun can mark it as stuck.
So “started but died halfway” should not look healthy.
I have a small docs page with the curl/bash examples, but I’m also curious: for your cron jobs, would you be okay using a hosted ping URL, or would this need to be self-hosted?
hey, looks like your reply came through blank on my end, might be an IH glitch. still curious about the halfway-failure thing though. if a script pings your URL at the start but crashes before finishing, does MissedRun catch that, or would you need a separate "done" ping at the end? that distinction would decide whether i'd wire it into my backup jobs.
We had the same issue: our team cared about bill movement but the gap between a vote happening and us knowing was 6 to 24 hours depending on how often someone checked Congress.gov. Switched to goffer.ai about 2 months ago. It monitors bills by keyword and sponsor, sends SMS for floor votes and Gmail labels for everything else with a priority tier. The vote-to-alert gap is now under 5 minutes on mobile for anything we have flagged. The Congress.gov API has real-time vote data but polling it reliably takes setup - this was the path of least resistance.
This addresses a genuine blind spot in most monitoring setups. Uptime monitors tell you when something is up or down; cron monitors tell you when something that should have run... didn't. Very different failure mode, very different detection mechanism.
The 'silent failure' problem is real — a cron job that crashes silently is often worse than one that errors loudly, because by the time you notice, the damage compounds.
One positioning thought: your target user has probably already been burned once by a silent cron failure. That incident story (backup didn't run, data was lost, or ETL was quietly broken for days) is the pitch, not the feature list. Do you know what the specific incident was that made your early users sign up?
Thanks, that’s a really good point.
I don’t have a strong pattern from early users yet — this is still very early. The main reason I built it was from my own experience with scheduled jobs failing silently, especially data/import jobs where you only notice later that something is missing or stale.
I agree that the incident story is probably much stronger than the feature list. “The backup didn’t run” or “the ETL was quietly broken for days” is much easier to understand than just saying heartbeat monitoring.
That’s also part of why I posted this — I’m trying to learn what kinds of silent failures people have actually been burned by.
Nice work actually — the "silent failure" problem is real and underserved. I ran into the same thing building Tickstem, which does heartbeat monitoring alongside cron scheduling and uptime checks.
A few thoughts from building in this space:
The hardest positioning question is whether to be a standalone heartbeat monitor or bundle it with the scheduler. Standalone is easier to explain, but developers end up needing both anyway — they want to know the job ran and that it did something
useful.
One thing that helped us was framing it as "did your job check in on time" rather than "is your server up" — it separates heartbeat monitoring clearly from uptime monitoring in users' minds.
Good luck with it — curious how the feedback goes.
Thanks, this is really useful.
The “did your job check in on time?” wording is a good point. I’ve been struggling a bit with explaining the difference between this and normal uptime monitoring, and that makes it much clearer.
For now I’m trying to keep MissedRun focused on jobs that already exist somewhere else — cron jobs, backups, imports, syncs, etc. Basically: did the job report back on time, fail, or get stuck?
I agree scheduling + monitoring are close together, but I’m trying not to build too much before I understand what people actually expect.
Appreciate the feedback — I’ll probably adjust the copy around “check-ins” instead of only talking about pings.
Nice problem space. The reliability gap between scheduled tasks and actual execution is underappreciated.
One feedback as a fellow small-tool builder: the first screen should answer "why this over just checking logs" in 5 seconds. What is the most painful moment your user has experienced that this prevents? Make that the headline.
From building a browser extension (lots of setInterval/setTimeout timing), I learned that the value prop is not "monitoring"—it is "sleep soundly knowing X ran." That reframe changes how you describe everything.
This is really helpful, thank you.
You’re right — “monitoring” is probably too generic. The real pain is more like: “I only noticed hours later that the data/report was stale, and now I have to dig through logs to figure out what happened.”
I like the “sleep soundly knowing X ran” framing. That feels much closer to the actual value.
Adjacent shape from running TokRepo's agent ops — silent-failure is even nastier when the "job" is an LLM agent, because the failure costs you on both axes (missed work + money quietly burning).
Three signals we monitor that scheduled-job tools usually miss:
Median/p99 cost ratio. $0.42 vs $34.80 = 82x spread. When this widens past 50x, an agent is quietly stuck in a retry loop. Standard "job ran successfully" says green; cost watermark says red.
Per-step duration variance. If step 3 of a 5-step agent loop suddenly takes 12x longer than baseline, model degradation has hit but the job "completed." Silent cognitive failure.
Output-tokens-per-input-token ratio. 8x baseline = the agent rambled (loop noise). 0.3x baseline = it gave up early. Both look "OK" to a cron monitor but ship broken work downstream.
Agree with KrasimirP — "silent operational failure" is the right frame. Scheduled-jobs is the wedge; agent-ops is where willingness-to-pay 10x's. Worth keeping V1 focused on jobs but naming for the larger ceiling, like he said.
This is a really interesting angle.
I hadn’t thought much about agent workflows yet, but the “completed successfully but produced broken work” case is very close to what I’m trying to understand.
For V1 I’ll probably keep it focused on scheduled jobs, but I can see how duration, cost, retries, and output sanity checks could matter a lot for agent runs too.
Thanks — this gives me something useful to think about.
Small update after the first feedback:
A few people pointed out that the main value is not just “did the job run”, but knowing whether it started, finished, failed, ran late, or got stuck.
So I’m thinking the next version should focus more on:
This is helpful feedback. If anyone here monitors scheduled jobs manually today, I’d still love to hear what you use and what feels annoying about it.
Looking at the actual dashboard, I think the biggest gap is in the first “success moment”.
Right now, as a new user I land on:
– 0 monitors
– “Everything looks good”
– and a form that requires me to think before I act
So the flow becomes:
understand → decide → configure → then maybe see value
But for a tool like this, it feels like the value should come much earlier.
For example, I almost expected something like:
– a pre-created demo monitor
– or a super quick “test ping” to see how it works instantly
Right now the first interaction feels a bit like setup, not like “I already see why this is useful”.
Also small thing:
fields like interval / grace period require context, which adds friction right at the start.
Feels like reducing that first step to something closer to:
“create → see it working → then refine”
could make a big difference.
Curious if you've thought about making the first monitor almost automatic just to get users to that first signal faster.
This is very useful feedback, thank you.
I think you’re right — the first screen currently asks the user to configure before they’ve experienced the value.
A pre-created demo monitor or a very quick “send a test ping” flow would probably make the first success moment much clearer.
The “create → see it working → refine” framing is especially helpful. I’ve been thinking mostly in terms of monitor setup, but for onboarding it probably needs to feel more like:
I’ll likely simplify the first monitor flow around that. Thanks for pointing it out.
That direction sounds much stronger.
The moment you let users trigger a test ping and actually see the state change, the product will probably “click” much faster.
One small thought:
if they can see something go from “pending” → “success” (or even “missed”) in the first minute, it turns the concept from abstract into something very tangible.
That’s usually the point where tools like this start to feel essential instead of optional.
You’re right. I actually have a first-ping flow now, but your comment made me realize it needs to be much more explicit visually.
Right now a new monitor shows a “send your first ping” section with a curl command and then turns healthy after the ping arrives.
I think the missing improvement is making that state transition obvious:
pending → send test ping → healthy
A browser “send test ping” button would probably make this even clearer than asking the user to run curl.
That makes a lot of sense — the state transition is really the key moment.
I think the interesting part is not just making it visible, but making it feel “caused by me”.
Right now even if the state changes, it can still feel like:
“something happened”
But if the flow is:
click → immediate feedback → state changes
it becomes:
“I triggered this → I understand how this works”
That small shift usually makes tools like this feel much more intuitive and trustworthy.
A simple in-product “send test ping” button sounds like it could solve both:
– clarity (no need to understand curl)
– and that cause → effect feeling
Curious if you’ve thought about making that the default first step instead of showing the command first.
The idea is solid, but I think the challenge is positioning.
Monitoring cron jobs feels like a “nice to have”, but preventing silent failures in things like billing, backups, or data sync is a “must have”.
Framing it around risk and business impact might make it much more compelling.
Also, it might help to focus on a specific audience first (e.g. startups or dev teams) instead of keeping it broad.
Thanks, that makes a lot of sense.
I agree that “cron monitoring” sounds too small / nice-to-have, while the real pain is silent failure in important recurring work.
I’m thinking about positioning it more around:
“Know when scheduled jobs fail, get stuck, or never run.”
The first audience I’m considering is small SaaS teams and solo developers running things like imports, backups, billing syncs, reports, and background scripts.
That feels more specific than trying to target everyone who uses cron.
That direction feels much stronger.
I’ve seen a similar pattern in a large scale product (millions of users), especially during peak periods. The real issue wasn’t just jobs failing, but the fact that failures could go unnoticed until they started affecting users or revenue.
What made the biggest difference was having alerts that surfaced issues early.
It also makes me think there’s an opportunity to go a step further with prediction (e.g. detecting anomalies before failure), which could make this even more critical for teams.
That’s a really useful way to look at it.
I agree prediction/anomaly detection is probably the stronger long-term direction, especially once there’s enough history to know what “normal” looks like for a given job.
For V1 I’m trying not to jump too far ahead, so I’m focusing on the simpler failure modes first:
But I like the idea that this could eventually move from simple alerting toward early detection of operational risk.
The positioning around business impact is the part I clearly need to keep sharpening.
The operational risk here is bigger than “cron monitoring.”
Once this is in production, it stops being a ping checker.
It becomes a reliability layer for everything nobody notices until it breaks:
backups
imports
billing jobs
webhooks
queue workers
syncs
That shift matters because people don’t buy this to monitor cron.
They buy it to avoid silent operational failure.
“MissedRun” explains the symptom.
It does not carry the weight of the problem once this expands beyond simple cron checks.
As soon as this moves upmarket, the product likely outgrows the current name.
Vroth.com would carry this much better.
Shorter, harder, more infra-native, and better suited for something sitting in the reliability / ops layer rather than a utility tool.
This is really useful feedback, thank you.
You’re right that the bigger problem is not “cron” itself, but silent operational failure around recurring work: backups, imports, billing jobs, webhooks, syncs, queue workers, and similar tasks.
I’m still trying to decide how broad the product should become. My instinct for the V1 is to stay very focused and make the simple case extremely clear first: scheduled jobs that fail, get stuck, or never report.
I see your point about the name though. “MissedRun” explains the symptom, but it may not fully carry the broader reliability / ops layer idea if the product expands.
For now I’ll probably keep the name while validating the core use case, but this gives me a lot to think about for positioning.
That focus makes sense for V1.
But I’d be careful not to confuse product scope with brand ceiling.
You can keep the product narrow while still naming it for the reliability layer it is clearly moving toward.
“MissedRun” is clear for the first use case.
The risk is that it locks perception around one symptom right when the product starts touching bigger ops pain.
Silent operational failure is the stronger frame.
That’s what teams actually fear.
So even if V1 stays focused on scheduled jobs, I’d still pressure-test whether the name can carry the broader reliability trust before users start mentally filing it as a small cron utility.
That’s a fair point.
“Silent operational failure” does feel closer to the real pain than just “missed run”.
The tricky part for me is balancing a very concrete first use case with a name/positioning that doesn’t make the product feel smaller than the problem.
For V1 I’m trying to stay focused on scheduled jobs because it’s easy to understand and test, but I agree the broader fear is really: “something important stopped happening and nobody noticed.”
I’ll probably keep validating with that framing and see whether people describe the pain as cron/job monitoring or more generally as operational reliability.
That’s the right thing to validate.
But I’d separate user language from brand ceiling.
Users may describe the first pain as cron/job monitoring because that’s the entry point.
That doesn’t mean the brand should stay locked to that entry point.
The stronger test is:
when a user realizes the product protects backups, billing jobs, imports, syncs, and queue workers, does “MissedRun” still feel big enough?
If yes, keep it.
If it starts sounding like a small cron utility while the pain is actually silent operational failure, then the name is already under-positioning the product.
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