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).
PipeCleaner
Stop hand-fixing output. Paste-ready tables in one pass.
Every "clean up this text" tool is a website you paste sensitive data into that is manual, token-burning, and privacy-leaking. PipeCleaner is a Mac app that does it locally, zero network connections. Copy a messy terminal table or log, get clean Markdown, CSV, Excel, or Word. Flip on Auto-Clean and terminal copies are fixed the instant you hit ⌘C. Plus a CLI, Services menu & Shortcuts. Built because I got tired of hand-fixing every table I pasted into Teams & GitHub.
Claude can create the table below in about three seconds: ┌────────┬───────────────┬────────────────────────────────────┬─────────────┐ │ Fruit │ Color │ Description │ Average │ │ │ │ │ Weight │ ├────────┼───────────────┼────────────────────────────────────┼─────────────┤ │ Apple │ Red, green, │ Crisp, sweet to tart flesh with │ 180g (6 oz) │ │ │ yellow │ thin edible skin │ │ ├────────┼───────────────┼────────────────────────────────────┼─────────────┤ │ Orange │ Orange │ Juicy, segmented citrus with thick │ 130g (4.5 │ │ │ │ peel │ oz) │ ├────────┼───────────────┼────────────────────────────────────┼─────────────┤ │ Banana │ Yellow │ Soft, creamy flesh with easy-peel │ 120g (4 oz) │ │ │ │ skin │ │ └────────┴───────────────┴────────────────────────────────────┴─────────────┘
Teams, GitHub, Excel, Pages, this post, five different dialects, and not one of them speaks the same. The AI made the table in seconds; I spent the next ten minutes being a human translator or I waste real tokens on having it convert to a markdown doc and even more to create a word document.
So I built PipeCleaner. Paste the box-drawing mess once, pick where it's going, copy it back out in that app's language. Flip on Auto-Clean and it happens the instant you ⌘C.
Every app wants your table a different way. PipeCleaner speaks all of them.
The local-first approach is exactly what I want for working with messy log dumps. One thing that would make this a daily driver for me is the ability to save custom cleaning rules or presets, so I can define how PipeCleaner handles my specific log formats without re-tweaking options every time.
About PipeCleaner on Product Hunt
“Stop hand-fixing output. Paste-ready tables in one pass.”
PipeCleaner was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #73 on the daily leaderboard. Every "clean up this text" tool is a website you paste sensitive data into that is manual, token-burning, and privacy-leaking. PipeCleaner is a Mac app that does it locally, zero network connections. Copy a messy terminal table or log, get clean Markdown, CSV, Excel, or Word. Flip on Auto-Clean and terminal copies are fixed the instant you hit ⌘C. Plus a CLI, Services menu & Shortcuts. Built because I got tired of hand-fixing every table I pasted into Teams & GitHub.
PipeCleaner was featured in Productivity (656.2k followers), Writing (59.3k followers) and Developer Tools (515.9k followers) on Product Hunt. Together, these topics include over 234.2k products, making this a competitive space to launch in.
Who hunted PipeCleaner?
PipeCleaner was hunted by Daniel DeMarco-Gauthier. 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 PipeCleaner stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daniel DeMarco-Gauthier
Claude can create the table below in about three seconds:
┌────────┬───────────────┬────────────────────────────────────┬─────────────┐
│ Fruit │ Color │ Description │ Average │
│ │ │ │ Weight │
├────────┼───────────────┼────────────────────────────────────┼─────────────┤
│ Apple │ Red, green, │ Crisp, sweet to tart flesh with │ 180g (6 oz) │
│ │ yellow │ thin edible skin │ │
├────────┼───────────────┼────────────────────────────────────┼─────────────┤
│ Orange │ Orange │ Juicy, segmented citrus with thick │ 130g (4.5 │
│ │ │ peel │ oz) │
├────────┼───────────────┼────────────────────────────────────┼─────────────┤
│ Banana │ Yellow │ Soft, creamy flesh with easy-peel │ 120g (4 oz) │
│ │ │ skin │ │
└────────┴───────────────┴────────────────────────────────────┴─────────────┘
Teams, GitHub, Excel, Pages, this post, five different dialects, and not one of them speaks the same. The AI made the table in seconds; I spent the next ten minutes being a human translator or I waste real tokens on having it convert to a markdown doc and even more to create a word document.
So I built PipeCleaner. Paste the box-drawing mess once, pick where it's going, copy it back out in that app's language. Flip on Auto-Clean and it happens the instant you ⌘C.
Every app wants your table a different way. PipeCleaner speaks all of them.
What are you pasting into these days?