I

I resurrected one of the top dead Show HNs

Hacker News

I resurrected one of the top dead Show HNs

OneView was first posted to HN in 2017, but died sometime around late 2019. Using the web archive I cobbled together something that works. Open to hearing people's thoughts on whether this is ethical or not...

Share card

Actual performance

8points
3comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos
89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
52%52% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% 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
34%34% 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
23%23% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ca
Carl Jung's Seven Sermons to the Dead55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Carl Jung's Seven Sermons to the Dead

Hacker News1
I
I resurrected one of the top dead Show HNs53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I resurrected one of the top dead Show HNs

Hacker News5
Th
The Dead Sea Scrolls Visualized66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Dead Sea Scrolls Visualized

Hacker News1
A
A dead code killer for Erlang75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A dead code killer for Erlang

Hacker News103
Th
The Dead Web62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Dead Web

Hacker News2
In
Inject Me Timbers – Dead simple dependency injection28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inject Me Timbers – Dead simple dependency injection

Hacker News1
Re
Resurrecting a dead Dune RTS game51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Resurrecting a dead Dune RTS game

Hacker News485
Ti
Timehop for dead people60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Timehop for dead people

Hacker News1
St
Standup meetings are dead52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Standup meetings are dead

Hacker News2
As
Ask Soph about a dead philosopher50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask Soph about a dead philosopher

Hacker News1