Di

Discovered a bug in gmail

Hacker News

Discovered a bug in gmail

Zombie messages. 1. Open GMail. 2. Write a mail to yourself. Send it. 3. After it arrives immediately select it and delete it. 4. After that immediately go to trash and empty trash forever. 5. After that immediately close tab. 6. Now open a new tab and go to GMail again. See the message you apparently just deleted in your email box. Creepy zombie message! Can anyone else reproduce?

Share card

Actual performance

4points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: new, email, open · Missing: mac, agents, macos
84%84% 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
70%70% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% 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
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

So
Sorry, found bug.43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sorry, found bug.

Hacker News1
Qu
QuizUp Bug39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

QuizUp Bug

Hacker News2
Sl
Slick Checkbox for Gmail50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Slick Checkbox for Gmail

Hacker News1
I
I Cloned Gmail50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Cloned Gmail

Hacker News1
Gm
Gmail Thread Splitting60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gmail Thread Splitting

Hacker News59
Gm
Gmail on Rails45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gmail on Rails

Hacker News2
Gm
Gmail bug blocking email with subject containing "ll" and then "c"53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Gmail bug blocking email with subject containing "ll" and then "c"

Hacker News2
Spotlytt
Spotlytt38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Standout and Get Discovered by Skills

Indie Hackers1jobs-hiring
So
Sortd ('Trello for Gmail'): No 1. App for Gmail on ProductHunt48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sortd ('Trello for Gmail'): No 1. App for Gmail on ProductHunt

Hacker News3
ProofBase
ProofBase33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get discovered by proof, not upvotes

Indie Hackersvertical-analytics