Se

Self-destructing Tweets

Hacker News

Self-destructing Tweets

I made this in about 2 hours and live-streamed it to a bunch of people on Twitch. I have a very basic 'framework' to get smaller projects like these up and running quickly: https://github.com/mittermayr/instantpuma Would be interested to see other ideas to add to that. Runs on NGINX/PUMA/RUBY/SINATRA/ERB

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: nginx, ide · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
40%40% 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
37%37% predicted probability of success on TrustMRR, 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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Fr
Framed Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Framed Tweets

Hacker News2
Hu
Hurricane Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hurricane Tweets

Hacker News56
Be
Beyond Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beyond Tweets

Hacker News1
Se
Sex Your Tweets (Bayesian classifier)37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sex Your Tweets (Bayesian classifier)

Hacker News1
Fi
Find Haiku in Your Tweets37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Haiku in Your Tweets

Hacker News1
Lo
Lonely Tweets :'(42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lonely Tweets :'(

Hacker News1
#e
#e is for Ephemeral – timed deletion of your tweets55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

#e is for Ephemeral – timed deletion of your tweets

Hacker News1
A
A game made out of tweets36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A game made out of tweets

Hacker News2
Au
Automate Your Tweets41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate Your Tweets

Hacker News1
Tw
Tweets about the GOP with socket.io59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tweets about the GOP with socket.io

Hacker News2