Al

Alternatives to Google's dead products

Hacker News

Alternatives to Google's dead products

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos
79%79% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
67%67% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
59%59% 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
27%27% 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
20%20% 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
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

No
No More Google, privacy-friendly alternatives to Google products56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No More Google, privacy-friendly alternatives to Google products

Hacker News96
Pr
Product Graveyard – Commemorating the most memorable dead products53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Product Graveyard – Commemorating the most memorable dead products

Hacker News265
Si
SixPack – Weighted Alternatives allocation55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SixPack – Weighted Alternatives allocation

Hacker News1
Ws
Wsgrok – one of many ngrok alternatives68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wsgrok – one of many ngrok alternatives

Hacker News6
Pe
Pelican-bicycle alternatives64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pelican-bicycle alternatives

Hacker News89
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 News8
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
Pa
Part guillotine, part graveyard for Google's doomed products52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Part guillotine, part graveyard for Google's doomed products

Hacker News9