Ol

Old-school Unix talk for the web

Hacker News

Old-school Unix talk for the web

Posted 12 years ago, but (a) it's been completely rewritten, and (b) it looks awesomely retro now, instead of just some textarea boxes. We would love feedback and PRs. Please note that if you're testing it "solo" - your second browser window should be in an incognito window.

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
28%28% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Th
Throwback Machine – Kick it old school51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Throwback Machine – Kick it old school

Hacker News2
We
Web Component to emulate the old-school ⟨bgsound⟩ HTML element47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Web Component to emulate the old-school ⟨bgsound⟩ HTML element

Hacker News2
Ol
Old School Graphics Algorithms45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Old School Graphics Algorithms

Hacker News126
fi
file.st - File Street: The old-school uploader.35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

file.st - File Street: The old-school uploader.

Hacker News15
Fr
Free to play old-school browser MMORPG49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free to play old-school browser MMORPG

Hacker News16
Ol
Old-school graphics browser MMORPG49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Old-school graphics browser MMORPG

Hacker News3
Sh
Show HN; (Nerdirc) a hackeable and old school IRC client in python64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Show HN; (Nerdirc) a hackeable and old school IRC client in python

Hacker News1
Megarares
Megarares65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Old School Runescape GE price tracker and flipping tools

Indie Hackers1analytics
Valkron Online
Valkron Online57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An old-school MMORPG built for a new generation

Indie Hackerscommitment-full-time
Ho
Holst, Digitally Retouched Old Paintings38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Holst, Digitally Retouched Old Paintings

Hacker News1