This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Underlayer
Catch, edit, and retry failed webhooks & cron jobs
A developer-first task scheduler for HTTP webhooks, crons, and async jobs. Stop digging through messy server logs when things break. Underlayer catches failed payloads in a visual Dead Letter Queue. Easily inspect the error, fix the broken JSON right in our built-in editor, and hit retry with one click. Manage your team, monitor every run, and keep your backend infrastructure running smoothly without ever touching the CLI. Generous free tier available.
Hey Product Hunt! 👋
Handling background jobs and webhooks as a solo founder has always been my biggest point of failure.
Whenever a Stripe payment webhook failed or an email cron crashed in one of my previous projects, I had to drop everything. I’d have to dive into messy server logs, find the broken JSON payload, write a quick script to replay it, and pray it worked. It was incredibly stressful and broke my coding flow every single time.
I decided to "scratch my own itch" and built Underlayer. It’s a Task Scheduler and Event Bus, but the feature I'm most proud of is the built-in visual Dead Letter Queue (DLQ).
If a webhook or cron fails in production, Underlayer catches the broken payload. Instead of touching the CLI, you can open the failed event, fix the missing comma or wrong ID right there in our built-in editor, and hit "Retry". It acts as a safety net for your backend infrastructure.
I built this solo using Next.js for the frontend, Supabase for auth/db, and C#/.NET for the backend to ensure it handles high-throughput, concurrent background jobs flawlessly out of the box.
I’d love your brutal, constructive feedback on the UI, the onboarding flow, or the architecture itself. I will be hanging out in the comments all day, so please drop your questions, feedback, or technical roasts below!
Cheers! 🚀
I like the visual DLQ angle a lot. Failed webhooks and background jobs are usually not the exciting part of building, but when a Stripe event, email job, or user action fails, suddenly you’re in logs, scripts, payloads, and stress instead of actually shipping.
Curious how you think about safety around editing payloads before retrying. Do you keep a full audit trail of what changed, who changed it, and what the original payload was?
About Underlayer on Product Hunt
“Catch, edit, and retry failed webhooks & cron jobs”
Underlayer was submitted on Product Hunt and earned 7 upvotes and 3 comments, placing #75 on the daily leaderboard. A developer-first task scheduler for HTTP webhooks, crons, and async jobs. Stop digging through messy server logs when things break. Underlayer catches failed payloads in a visual Dead Letter Queue. Easily inspect the error, fix the broken JSON right in our built-in editor, and hit retry with one click. Manage your team, monitor every run, and keep your backend infrastructure running smoothly without ever touching the CLI. Generous free tier available.
Underlayer was featured in API (98.4k followers), SaaS (43k followers) and Developer Tools (515.5k followers) on Product Hunt. Together, these topics include over 134.8k products, making this a competitive space to launch in.
Who hunted Underlayer?
Underlayer was hunted by Álvaro López. 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 Underlayer stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Álvaro López